From b0e13f94679b5e6c385d14aaaa06e705659085e2 Mon Sep 17 00:00:00 2001
From: marcvanduyn <marcvanduyn1@gmail.com>
Date: Sun, 28 Dec 2025 10:51:42 +0100
Subject: [PATCH 1/6] Fix doc page references

---
 .../docs/Contributing Guide/contributing.md   | 638 +++++++++++++
 .../docs/Contributing Guide/style-guide.md    | 900 ++++++++++++++++++
 docusaurus/docs/Data/download.md              | 554 +++++++++++
 docusaurus/docs/Data/market-data-sources.md   | 556 +++++++++++
 .../docs/Data/multiple-market-data-sources.md | 856 +++++++++++++++++
 .../application-setup/index.html              |  25 -
 .../Getting Started/backtesting/index.html    |  23 -
 docusaurus/docs/Getting Started/deployment.md | 520 ++++++++++
 .../Getting Started/deployment/index.html     |  17 -
 .../docs/Getting Started/installation.md      |  52 +
 .../Getting Started/installation/index.html   |  17 -
 docusaurus/docs/Getting Started/orders.md     | 362 +++++++
 .../docs/Getting Started/orders/index.html    |  33 -
 .../Getting Started/performance/index.html    |  17 -
 .../portfolio-configuration.md                | 124 +++
 .../portfolio-configuration/index.html        |  21 -
 docusaurus/docs/Getting Started/positions.md  | 404 ++++++++
 .../docs/Getting Started/positions/index.html |  22 -
 .../docs/Getting Started/simple-example.md    | 626 ++++++++++++
 docusaurus/docs/Getting Started/strategies.md | 291 ++++++
 .../Getting Started/strategies/index.html     |  19 -
 docusaurus/docs/Getting Started/tasks.md      | 607 ++++++++++++
 .../docs/Getting Started/tasks/index.html     |  17 -
 docusaurus/docs/Getting Started/trades.md     | 472 +++++++++
 .../docs/Getting Started/trades/index.html    |  17 -
 docusaurus/docs/introduction.md               |  50 +
 docusaurus/sidebar.js                         |   4 +
 27 files changed, 7016 insertions(+), 228 deletions(-)
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 create mode 100644 docusaurus/docs/Contributing Guide/style-guide.md
 create mode 100644 docusaurus/docs/Data/download.md
 create mode 100644 docusaurus/docs/Data/market-data-sources.md
 create mode 100644 docusaurus/docs/Data/multiple-market-data-sources.md
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diff --git a/docusaurus/docs/Contributing Guide/contributing.md b/docusaurus/docs/Contributing Guide/contributing.md
new file mode 100644
index 00000000..5ba9d9dc
--- /dev/null
+++ b/docusaurus/docs/Contributing Guide/contributing.md	
@@ -0,0 +1,638 @@
+---
+sidebar_position: 1
+---
+
+# Contributing
+
+Welcome to the Investing Algorithm Framework contributing guide! We appreciate your interest in contributing to the project.
+
+## Getting Started
+
+### Prerequisites
+
+Before contributing, ensure you have:
+
+- **Python 3.8+** installed
+- **Git** for version control
+- **Poetry** for dependency management (recommended)
+- A **GitHub account**
+
+### Setting Up Development Environment
+
+1. **Fork the Repository**
+   ```bash
+   # Go to GitHub and fork the repository
+   # https://github.com/coding-kitties/investing-algorithm-framework
+   ```
+
+2. **Clone Your Fork**
+   ```bash
+   git clone https://github.com/YOUR_USERNAME/investing-algorithm-framework.git
+   cd investing-algorithm-framework
+   ```
+
+3. **Add Upstream Remote**
+   ```bash
+   git remote add upstream https://github.com/coding-kitties/investing-algorithm-framework.git
+   ```
+
+4. **Install Dependencies**
+   ```bash
+   # Using Poetry (recommended)
+   poetry install --with dev,test
+   poetry shell
+
+   # Or using pip
+   pip install -e .[dev,test]
+   ```
+
+5. **Install Pre-commit Hooks**
+   ```bash
+   pre-commit install
+   ```
+
+## Development Workflow
+
+### Creating a Feature Branch
+
+```bash
+# Make sure you're on main and up to date
+git checkout main
+git pull upstream main
+
+# Create a new feature branch
+git checkout -b feature/your-feature-name
+
+# Or for bug fixes
+git checkout -b fix/issue-description
+```
+
+### Making Changes
+
+1. **Write Tests First** (TDD approach recommended)
+   ```python
+   # tests/test_your_feature.py
+   import pytest
+   from investing_algorithm_framework import YourNewFeature
+
+   class TestYourNewFeature:
+       def test_basic_functionality(self):
+           feature = YourNewFeature()
+           result = feature.do_something()
+           assert result == expected_value
+   ```
+
+2. **Implement Your Feature**
+   ```python
+   # investing_algorithm_framework/your_module.py
+   class YourNewFeature:
+       def do_something(self):
+           # Your implementation
+           pass
+   ```
+
+3. **Run Tests**
+   ```bash
+   # Run specific tests
+   pytest tests/test_your_feature.py
+
+   # Run all tests
+   pytest
+
+   # Run with coverage
+   pytest --cov=investing_algorithm_framework
+   ```
+
+4. **Check Code Quality**
+   ```bash
+   # Linting
+   flake8 investing_algorithm_framework tests
+
+   # Type checking
+   mypy investing_algorithm_framework
+
+   # Format code
+   black investing_algorithm_framework tests
+   isort investing_algorithm_framework tests
+   ```
+
+### Committing Changes
+
+1. **Stage Your Changes**
+   ```bash
+   git add .
+   ```
+
+2. **Commit with Descriptive Message**
+   ```bash
+   git commit -m "feat: add new portfolio rebalancing strategy
+
+   - Implement automatic portfolio rebalancing
+   - Add threshold-based rebalancing triggers
+   - Include comprehensive tests for edge cases
+   - Update documentation with usage examples
+
+   Fixes #123"
+   ```
+
+### Submitting a Pull Request
+
+1. **Push Your Branch**
+   ```bash
+   git push origin feature/your-feature-name
+   ```
+
+2. **Create Pull Request**
+   - Go to GitHub and create a Pull Request
+   - Use the PR template
+   - Link related issues
+   - Provide clear description of changes
+
+3. **Address Review Feedback**
+   - Make requested changes
+   - Push additional commits to your branch
+   - Respond to reviewer comments
+
+## Contribution Types
+
+### Bug Reports
+
+When reporting bugs, please include:
+
+```markdown
+**Bug Description**
+A clear description of what the bug is.
+
+**To Reproduce**
+Steps to reproduce the behavior:
+1. Create app with configuration X
+2. Add strategy Y
+3. Run backtest with parameters Z
+4. See error
+
+**Expected Behavior**
+A clear description of what you expected to happen.
+
+**Environment**
+- OS: [e.g., macOS, Ubuntu 20.04]
+- Python version: [e.g., 3.9.7]
+- Framework version: [e.g., 1.2.3]
+
+**Additional Context**
+- Error logs
+- Configuration files
+- Screenshots (if applicable)
+```
+
+### Feature Requests
+
+For feature requests, please provide:
+
+```markdown
+**Feature Description**
+A clear description of the feature you'd like to see.
+
+**Use Case**
+Describe the problem this feature would solve.
+
+**Proposed Solution**
+If you have ideas on implementation, please share them.
+
+**Alternatives Considered**
+Any alternative solutions or workarounds you've considered.
+
+**Additional Context**
+Any other context, screenshots, or examples.
+```
+
+### Code Contributions
+
+#### New Features
+
+```python
+# Example: Adding a new indicator
+
+class RSIIndicator:
+    """Relative Strength Index technical indicator."""
+    
+    def __init__(self, period: int = 14):
+        """
+        Initialize RSI indicator.
+        
+        Args:
+            period: Number of periods for RSI calculation
+        """
+        self.period = period
+        
+    def calculate(self, prices: List[float]) -> List[float]:
+        """
+        Calculate RSI values.
+        
+        Args:
+            prices: List of closing prices
+            
+        Returns:
+            List of RSI values
+            
+        Raises:
+            ValueError: If insufficient data points
+        """
+        if len(prices) < self.period + 1:
+            raise ValueError(f"Need at least {self.period + 1} data points")
+        
+        # Implementation here
+        pass
+```
+
+#### Documentation
+
+```python
+def create_trading_strategy(
+    name: str,
+    symbols: List[str],
+    timeframe: str = "1d"
+) -> TradingStrategy:
+    """
+    Create a new trading strategy.
+    
+    This function helps create a trading strategy with the specified
+    parameters. The strategy will be configured to trade the given
+    symbols on the specified timeframe.
+    
+    Args:
+        name: Name of the trading strategy
+        symbols: List of symbols to trade (e.g., ["BTC/USDT", "ETH/USDT"])
+        timeframe: Trading timeframe (default: "1d")
+        
+    Returns:
+        TradingStrategy: Configured trading strategy instance
+        
+    Example:
+        >>> strategy = create_trading_strategy(
+        ...     name="MA Crossover",
+        ...     symbols=["BTC/USDT"],
+        ...     timeframe="1h"
+        ... )
+        >>> app.add_strategy(strategy)
+        
+    Raises:
+        ValueError: If invalid symbols or timeframe provided
+    """
+    # Implementation
+    pass
+```
+
+## Code Style Guidelines
+
+### Python Code Style
+
+We follow [PEP 8](https://www.python.org/dev/peps/pep-0008/) with some modifications:
+
+```python
+# Good: Clear, descriptive names
+class MovingAverageStrategy(TradingStrategy):
+    def __init__(self, short_period: int = 20, long_period: int = 50):
+        self.short_period = short_period
+        self.long_period = long_period
+    
+    def calculate_moving_average(self, prices: List[float], period: int) -> float:
+        """Calculate simple moving average."""
+        return sum(prices[-period:]) / period
+
+# Bad: Unclear names, no type hints
+class MAStrat:
+    def __init__(self, s=20, l=50):
+        self.s = s
+        self.l = l
+    
+    def calc_ma(self, p, per):
+        return sum(p[-per:]) / per
+```
+
+### Import Organization
+
+```python
+# Standard library imports
+import logging
+import os
+from datetime import datetime, timedelta
+from typing import List, Optional, Dict
+
+# Third-party imports
+import pandas as pd
+import numpy as np
+from ccxt import Exchange
+
+# Local imports
+from investing_algorithm_framework.domain import TradingStrategy
+from investing_algorithm_framework.infrastructure import CCXTOrderExecutor
+```
+
+### Error Handling
+
+```python
+# Good: Specific exceptions with helpful messages
+def get_market_data(symbol: str, timeframe: str) -> pd.DataFrame:
+    try:
+        data = self.data_provider.get_data(symbol, timeframe)
+        if not data:
+            raise DataError(f"No data available for {symbol} on {timeframe}")
+        return pd.DataFrame(data)
+    except ConnectionError as e:
+        raise DataError(f"Failed to fetch data for {symbol}: {e}") from e
+    except Exception as e:
+        logger.error(f"Unexpected error fetching {symbol} data: {e}")
+        raise
+
+# Bad: Broad exception handling
+def get_market_data(symbol, timeframe):
+    try:
+        data = self.data_provider.get_data(symbol, timeframe)
+        return pd.DataFrame(data)
+    except:
+        return None
+```
+
+## Testing Guidelines
+
+### Unit Tests
+
+```python
+import pytest
+from unittest.mock import Mock, patch
+from investing_algorithm_framework import TradingStrategy
+
+class TestTradingStrategy:
+    def test_strategy_initialization(self):
+        """Test strategy can be initialized with default parameters."""
+        strategy = TradingStrategy()
+        assert strategy is not None
+        
+    def test_strategy_with_custom_parameters(self):
+        """Test strategy initialization with custom parameters."""
+        strategy = TradingStrategy(risk_per_trade=0.02)
+        assert strategy.risk_per_trade == 0.02
+        
+    @patch('investing_algorithm_framework.MarketDataProvider')
+    def test_strategy_execution_with_mock_data(self, mock_data_provider):
+        """Test strategy execution with mocked market data."""
+        # Setup
+        mock_data_provider.get_data.return_value = [
+            {"open": 100, "high": 105, "low": 95, "close": 102}
+        ]
+        
+        strategy = TradingStrategy()
+        algorithm = Mock()
+        
+        # Execute
+        strategy.apply_strategy(algorithm, mock_data_provider)
+        
+        # Assert
+        mock_data_provider.get_data.assert_called()
+        
+    def test_strategy_handles_no_data(self):
+        """Test strategy handles case when no market data is available."""
+        strategy = TradingStrategy()
+        algorithm = Mock()
+        market_data = Mock()
+        market_data.get_data.return_value = None
+        
+        # Should not raise exception
+        strategy.apply_strategy(algorithm, market_data)
+```
+
+### Integration Tests
+
+```python
+class TestTradingIntegration:
+    @pytest.fixture
+    def app(self):
+        """Create test app with minimal configuration."""
+        from investing_algorithm_framework import create_app
+        return create_app(config={'testing': True})
+    
+    def test_end_to_end_trading_flow(self, app):
+        """Test complete trading flow from strategy to order execution."""
+        # Add test strategy
+        strategy = TestStrategy()
+        app.add_strategy(strategy)
+        
+        # Add test data
+        app.add_test_data("BTC/USDT", test_market_data)
+        
+        # Run backtest
+        results = app.run_backtest(
+            start_date="2023-01-01",
+            end_date="2023-01-31"
+        )
+        
+        # Verify results
+        assert results.total_trades > 0
+        assert results.final_portfolio_value > 0
+```
+
+### Performance Tests
+
+```python
+import pytest
+import time
+
+class TestPerformance:
+    def test_strategy_execution_performance(self):
+        """Test strategy executes within acceptable time limits."""
+        strategy = TradingStrategy()
+        algorithm = Mock()
+        market_data = Mock()
+        market_data.get_data.return_value = generate_large_dataset(10000)
+        
+        start_time = time.time()
+        strategy.apply_strategy(algorithm, market_data)
+        execution_time = time.time() - start_time
+        
+        # Should complete within 1 second for 10k data points
+        assert execution_time < 1.0
+        
+    @pytest.mark.benchmark
+    def test_backtest_performance(self, benchmark):
+        """Benchmark backtest execution speed."""
+        app = create_test_app()
+        
+        result = benchmark(
+            app.run_backtest,
+            start_date="2023-01-01",
+            end_date="2023-12-31"
+        )
+        
+        assert result.total_trades >= 0
+```
+
+## Documentation Standards
+
+### Docstring Format
+
+We use Google-style docstrings:
+
+```python
+def calculate_portfolio_metrics(
+    portfolio_value: float,
+    benchmark_value: float,
+    risk_free_rate: float = 0.02
+) -> Dict[str, float]:
+    """
+    Calculate portfolio performance metrics.
+    
+    This function calculates common portfolio performance metrics
+    including Sharpe ratio, alpha, and beta relative to a benchmark.
+    
+    Args:
+        portfolio_value: Current portfolio value in base currency
+        benchmark_value: Current benchmark value
+        risk_free_rate: Risk-free rate for Sharpe ratio calculation.
+            Defaults to 2% (0.02).
+            
+    Returns:
+        Dict containing calculated metrics:
+            - sharpe_ratio: Risk-adjusted return metric
+            - alpha: Excess return over benchmark
+            - beta: Portfolio sensitivity to benchmark
+            
+    Raises:
+        ValueError: If portfolio_value or benchmark_value is negative
+        
+    Example:
+        >>> metrics = calculate_portfolio_metrics(10000, 9500, 0.025)
+        >>> print(f"Sharpe Ratio: {metrics['sharpe_ratio']:.2f}")
+        Sharpe Ratio: 1.25
+    """
+    if portfolio_value < 0 or benchmark_value < 0:
+        raise ValueError("Portfolio and benchmark values must be non-negative")
+    
+    # Implementation here
+    return {
+        "sharpe_ratio": 0.0,
+        "alpha": 0.0,
+        "beta": 0.0
+    }
+```
+
+### README Updates
+
+When adding new features, update relevant documentation:
+
+```markdown
+## New Portfolio Rebalancing Feature
+
+The framework now supports automatic portfolio rebalancing:
+
+```python
+from investing_algorithm_framework import PortfolioRebalancer
+
+# Configure rebalancing strategy
+rebalancer = PortfolioRebalancer(
+    target_weights={"BTC": 0.6, "ETH": 0.3, "ADA": 0.1},
+    rebalance_threshold=0.05,  # 5% deviation triggers rebalance
+    rebalance_frequency="weekly"
+)
+
+app.add_rebalancer(rebalancer)
+```
+
+This feature helps maintain target asset allocation automatically.
+```
+
+## Pull Request Process
+
+### PR Template
+
+```markdown
+## Description
+Brief description of changes and motivation.
+
+## Type of Change
+- [ ] Bug fix (non-breaking change which fixes an issue)
+- [ ] New feature (non-breaking change which adds functionality)  
+- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
+- [ ] Documentation update
+
+## Testing
+- [ ] New tests added for new functionality
+- [ ] All existing tests pass
+- [ ] Manual testing completed
+
+## Checklist
+- [ ] Code follows project style guidelines
+- [ ] Self-review completed
+- [ ] Code is properly commented
+- [ ] Corresponding documentation updated
+- [ ] No new warnings introduced
+
+## Related Issues
+Fixes #(issue number)
+```
+
+### Review Criteria
+
+Pull requests will be reviewed for:
+
+1. **Functionality**: Does it work as intended?
+2. **Testing**: Are there adequate tests?
+3. **Code Quality**: Is the code readable and maintainable?
+4. **Documentation**: Is it properly documented?
+5. **Performance**: Does it introduce performance regressions?
+6. **Breaking Changes**: Are breaking changes properly documented?
+
+## Release Process
+
+### Versioning
+
+We follow [Semantic Versioning](https://semver.org/):
+
+- **MAJOR**: Breaking changes
+- **MINOR**: New features, backwards compatible
+- **PATCH**: Bug fixes, backwards compatible
+
+### Changelog Format
+
+```markdown
+## [1.2.0] - 2024-01-15
+
+### Added
+- New portfolio rebalancing feature
+- Support for additional exchanges (Kraken, Bitfinex)
+- Advanced risk management tools
+
+### Changed
+- Improved performance of backtesting engine
+- Updated API for strategy configuration
+
+### Deprecated
+- Old configuration format (will be removed in v2.0)
+
+### Fixed
+- Bug in order execution timing
+- Memory leak in data provider
+```
+
+## Community Guidelines
+
+### Code of Conduct
+
+- Be respectful and inclusive
+- Provide constructive feedback
+- Help others learn and grow
+- Follow project guidelines
+
+### Getting Help
+
+- **GitHub Issues**: Bug reports and feature requests
+- **GitHub Discussions**: Questions and community discussions
+- **Documentation**: Check docs for answers first
+
+### Recognition
+
+Contributors will be recognized in:
+- Project README
+- Release notes
+- Annual contributor highlights
+
+Thank you for contributing to the Investing Algorithm Framework! 🚀
diff --git a/docusaurus/docs/Contributing Guide/style-guide.md b/docusaurus/docs/Contributing Guide/style-guide.md
new file mode 100644
index 00000000..54828734
--- /dev/null
+++ b/docusaurus/docs/Contributing Guide/style-guide.md	
@@ -0,0 +1,900 @@
+---
+sidebar_position: 2
+---
+
+# Style Guide
+
+This style guide ensures consistency and readability across the Investing Algorithm Framework codebase.
+
+## Python Style Guidelines
+
+### Code Formatting
+
+We use **Black** for code formatting with the following configuration:
+
+```toml
+# pyproject.toml
+[tool.black]
+line-length = 88
+target-version = ['py38']
+include = '\.pyi?$'
+extend-exclude = '''
+/(
+  # directories
+  \.eggs
+  | \.git
+  | \.hg
+  | \.mypy_cache
+  | \.tox
+  | \.venv
+  | _build
+  | buck-out
+  | build
+  | dist
+)/
+'''
+```
+
+### Import Style
+
+#### Import Order
+
+1. Standard library imports
+2. Related third-party imports  
+3. Local application/library imports
+
+```python
+# Standard library
+import logging
+import os
+from datetime import datetime, timedelta
+from typing import Dict, List, Optional, Union
+
+# Third-party
+import numpy as np
+import pandas as pd
+import ccxt
+from sqlalchemy import Column, Integer, String
+
+# Local
+from investing_algorithm_framework.domain import TradingStrategy
+from investing_algorithm_framework.infrastructure import CCXTOrderExecutor
+from investing_algorithm_framework.services import PortfolioService
+```
+
+#### Import Guidelines
+
+```python
+# Good: Explicit imports
+from investing_algorithm_framework.domain import (
+    TradingStrategy,
+    BacktestDateRange,
+    PortfolioConfiguration
+)
+
+# Avoid: Wildcard imports
+from investing_algorithm_framework.domain import *
+
+# Good: Relative imports for same package
+from .portfolio_service import PortfolioService
+from ..domain.models import Order
+
+# Avoid: Long relative imports
+from ....some.deep.nested.module import SomeClass
+```
+
+### Variable Naming
+
+#### General Rules
+
+```python
+# Good: Descriptive names
+portfolio_total_value = 10000.0
+moving_average_period = 20
+btc_current_price = 45000.0
+
+# Bad: Abbreviated or unclear names
+ptv = 10000.0
+map = 20
+bcp = 45000.0
+
+# Good: Boolean variables
+is_backtesting = True
+has_open_positions = False
+should_rebalance = True
+
+# Bad: Ambiguous boolean names
+backtesting = True
+positions = False
+rebalance = True
+```
+
+#### Class Naming
+
+```python
+# Good: PascalCase for classes
+class TradingStrategy:
+    pass
+
+class MovingAverageCrossoverStrategy(TradingStrategy):
+    pass
+
+class CCXTDataProvider:
+    pass
+
+# Bad: Snake_case or unclear names
+class trading_strategy:
+    pass
+
+class Strategy1:
+    pass
+
+class MAStrat:
+    pass
+```
+
+#### Method and Function Naming
+
+```python
+class PortfolioManager:
+    # Good: Verb-based method names
+    def calculate_total_value(self) -> float:
+        pass
+    
+    def get_positions(self) -> List[Position]:
+        pass
+    
+    def create_buy_order(self, symbol: str, amount: float) -> Order:
+        pass
+    
+    def is_position_open(self, symbol: str) -> bool:
+        pass
+    
+    # Bad: Unclear or noun-based names
+    def total(self) -> float:
+        pass
+    
+    def positions(self) -> List[Position]:
+        pass
+    
+    def order(self, symbol: str, amount: float) -> Order:
+        pass
+```
+
+#### Constants
+
+```python
+# Good: UPPERCASE with underscores
+DEFAULT_TIMEFRAME = "1d"
+MAX_POSITION_SIZE = 0.25
+API_RATE_LIMIT = 1200  # requests per minute
+SUPPORTED_EXCHANGES = ["binance", "coinbase", "kraken"]
+
+# Bad: Mixed case or unclear names
+defaultTimeframe = "1d"
+maxPos = 0.25
+limit = 1200
+exchanges = ["binance", "coinbase", "kraken"]
+```
+
+### Type Hints
+
+#### Basic Type Hints
+
+```python
+from typing import Dict, List, Optional, Union
+from datetime import datetime
+
+def calculate_moving_average(
+    prices: List[float], 
+    period: int
+) -> float:
+    return sum(prices[-period:]) / period
+
+def get_portfolio_value(
+    positions: Dict[str, float],
+    prices: Dict[str, float]
+) -> Optional[float]:
+    if not positions:
+        return None
+    return sum(positions[symbol] * prices.get(symbol, 0) 
+               for symbol in positions)
+```
+
+#### Complex Type Hints
+
+```python
+from typing import Callable, TypeVar, Generic, Protocol
+
+# Type variables
+T = TypeVar('T')
+StrategyType = TypeVar('StrategyType', bound='TradingStrategy')
+
+# Generic classes
+class DataProvider(Generic[T]):
+    def get_data(self, symbol: str) -> T:
+        pass
+
+# Protocols for structural typing
+class Tradeable(Protocol):
+    def get_current_price(self) -> float: ...
+    def create_order(self, side: str, amount: float) -> Order: ...
+
+# Complex function signatures
+def backtest_strategy(
+    strategy: TradingStrategy,
+    data_provider: DataProvider[pd.DataFrame],
+    date_range: BacktestDateRange,
+    callback: Optional[Callable[[BacktestRun], None]] = None
+) -> BacktestResults:
+    pass
+```
+
+### Documentation Style
+
+#### Class Documentation
+
+```python
+class MovingAverageStrategy(TradingStrategy):
+    """
+    Trading strategy based on moving average crossover signals.
+    
+    This strategy generates buy signals when a short-term moving average
+    crosses above a long-term moving average, and sell signals when the
+    short-term average crosses below the long-term average.
+    
+    Attributes:
+        short_period: Number of periods for short moving average
+        long_period: Number of periods for long moving average
+        symbol: Trading symbol to apply strategy to
+        
+    Example:
+        >>> strategy = MovingAverageStrategy(
+        ...     short_period=20,
+        ...     long_period=50,
+        ...     symbol="BTC/USDT"
+        ... )
+        >>> app.add_strategy(strategy)
+    """
+    
+    def __init__(
+        self, 
+        short_period: int = 20, 
+        long_period: int = 50,
+        symbol: str = "BTC/USDT"
+    ):
+        """
+        Initialize the moving average strategy.
+        
+        Args:
+            short_period: Period for short moving average. Must be less 
+                than long_period. Defaults to 20.
+            long_period: Period for long moving average. Must be greater 
+                than short_period. Defaults to 50.
+            symbol: Trading symbol to monitor. Defaults to "BTC/USDT".
+            
+        Raises:
+            ValueError: If short_period >= long_period
+            ValueError: If periods are not positive integers
+        """
+        if short_period >= long_period:
+            raise ValueError("Short period must be less than long period")
+        
+        if short_period <= 0 or long_period <= 0:
+            raise ValueError("Periods must be positive integers")
+            
+        self.short_period = short_period
+        self.long_period = long_period
+        self.symbol = symbol
+```
+
+#### Function Documentation
+
+```python
+def calculate_sharpe_ratio(
+    returns: List[float], 
+    risk_free_rate: float = 0.02,
+    periods_per_year: int = 252
+) -> float:
+    """
+    Calculate the Sharpe ratio for a series of returns.
+    
+    The Sharpe ratio measures risk-adjusted return by comparing the excess
+    return of an investment over a risk-free rate to the volatility of the
+    investment.
+    
+    Args:
+        returns: List of periodic returns (e.g., daily returns)
+        risk_free_rate: Annual risk-free rate. Defaults to 2% (0.02).
+        periods_per_year: Number of return periods per year. Defaults to
+            252 (trading days).
+            
+    Returns:
+        The Sharpe ratio as a float. Higher values indicate better
+        risk-adjusted returns.
+        
+    Raises:
+        ValueError: If returns list is empty
+        ValueError: If standard deviation is zero (no volatility)
+        
+    Example:
+        >>> daily_returns = [0.01, -0.02, 0.015, 0.008, -0.005]
+        >>> sharpe = calculate_sharpe_ratio(daily_returns, 0.025)
+        >>> print(f"Sharpe Ratio: {sharpe:.2f}")
+        Sharpe Ratio: 1.25
+        
+    Note:
+        This function assumes the returns are already in decimal format
+        (e.g., 0.01 for 1% return).
+    """
+    if not returns:
+        raise ValueError("Returns list cannot be empty")
+    
+    mean_return = sum(returns) / len(returns)
+    std_return = (sum((r - mean_return) ** 2 for r in returns) / len(returns)) ** 0.5
+    
+    if std_return == 0:
+        raise ValueError("Cannot calculate Sharpe ratio with zero volatility")
+    
+    # Annualize the Sharpe ratio
+    excess_return = mean_return - (risk_free_rate / periods_per_year)
+    annualized_excess_return = excess_return * periods_per_year
+    annualized_volatility = std_return * (periods_per_year ** 0.5)
+    
+    return annualized_excess_return / annualized_volatility
+```
+
+### Error Handling Style
+
+#### Exception Hierarchy
+
+```python
+# Base framework exception
+class InvestingAlgorithmFrameworkError(Exception):
+    """Base exception for all framework-related errors."""
+    pass
+
+# Domain-specific exceptions
+class TradingError(InvestingAlgorithmFrameworkError):
+    """Base exception for trading-related errors."""
+    pass
+
+class OrderError(TradingError):
+    """Exception raised for order-related errors."""
+    pass
+
+class InsufficientFundsError(OrderError):
+    """Exception raised when insufficient funds for order."""
+    pass
+
+class DataError(InvestingAlgorithmFrameworkError):
+    """Exception raised for data-related errors."""
+    pass
+
+class ConnectionError(DataError):
+    """Exception raised for connection-related errors."""
+    pass
+```
+
+#### Exception Usage
+
+```python
+def create_buy_order(
+    self, 
+    symbol: str, 
+    amount: float,
+    price: Optional[float] = None
+) -> Order:
+    """
+    Create a buy order for the specified symbol and amount.
+    
+    Args:
+        symbol: Trading symbol (e.g., "BTC/USDT")
+        amount: Amount to buy in base currency
+        price: Limit price (optional, uses market price if None)
+        
+    Returns:
+        Created order object
+        
+    Raises:
+        ValueError: If amount is not positive
+        InsufficientFundsError: If account balance is insufficient
+        ConnectionError: If exchange connection fails
+    """
+    # Input validation
+    if amount <= 0:
+        raise ValueError(f"Order amount must be positive, got {amount}")
+    
+    if not symbol:
+        raise ValueError("Symbol cannot be empty")
+    
+    try:
+        # Check available balance
+        balance = self._get_available_balance()
+        if balance < amount:
+            raise InsufficientFundsError(
+                f"Insufficient balance: {balance} < {amount}"
+            )
+        
+        # Create order
+        order = self._create_order_on_exchange(symbol, amount, price)
+        return order
+        
+    except ConnectionError as e:
+        # Re-raise connection errors with context
+        raise ConnectionError(
+            f"Failed to create order for {symbol}: {e}"
+        ) from e
+    
+    except Exception as e:
+        # Log unexpected errors and re-raise
+        logger.error(f"Unexpected error creating order: {e}", exc_info=True)
+        raise TradingError(f"Failed to create buy order: {e}") from e
+```
+
+### Logging Style
+
+#### Logger Setup
+
+```python
+import logging
+
+# Good: Module-level logger
+logger = logging.getLogger(__name__)
+
+class TradingStrategy:
+    def __init__(self):
+        # Good: Class-specific logger
+        self.logger = logging.getLogger(f"{__name__}.{self.__class__.__name__}")
+    
+    def apply_strategy(self, algorithm, market_data):
+        self.logger.info("Executing trading strategy")
+        
+        try:
+            current_price = market_data.get_last_price("BTC/USDT")
+            self.logger.debug(f"Current BTC price: ${current_price:.2f}")
+            
+            # Strategy logic here
+            
+        except Exception as e:
+            self.logger.error(f"Strategy execution failed: {e}", exc_info=True)
+            raise
+```
+
+#### Logging Messages
+
+```python
+# Good: Informative log messages
+logger.info("Starting portfolio rebalancing", extra={
+    'portfolio_value': portfolio.total_value,
+    'target_weights': target_weights,
+    'current_weights': current_weights
+})
+
+logger.warning(
+    "Position size exceeds risk limit",
+    extra={
+        'symbol': symbol,
+        'position_size': position_size,
+        'risk_limit': risk_limit,
+        'portfolio_percentage': position_size / portfolio.total_value
+    }
+)
+
+# Bad: Vague or missing information
+logger.info("Rebalancing")
+logger.warning("Risk limit exceeded")
+
+# Good: Structured logging for production
+logger.info("Order executed", extra={
+    'event_type': 'order_filled',
+    'order_id': order.id,
+    'symbol': order.symbol,
+    'side': order.side,
+    'amount': order.amount,
+    'price': order.price,
+    'timestamp': datetime.utcnow().isoformat()
+})
+```
+
+## Testing Style
+
+### Test Organization
+
+```python
+# tests/test_trading_strategy.py
+import pytest
+from unittest.mock import Mock, patch
+from investing_algorithm_framework import TradingStrategy
+
+class TestTradingStrategy:
+    """Test suite for TradingStrategy class."""
+    
+    @pytest.fixture
+    def strategy(self):
+        """Fixture providing a basic strategy instance."""
+        return TradingStrategy()
+    
+    @pytest.fixture
+    def mock_market_data(self):
+        """Fixture providing mock market data."""
+        mock_data = Mock()
+        mock_data.get_last_price.return_value = 50000.0
+        mock_data.get_data.return_value = [
+            {"open": 49000, "high": 51000, "low": 48000, "close": 50000}
+        ]
+        return mock_data
+    
+    def test_strategy_initialization(self, strategy):
+        """Test strategy can be initialized with default parameters."""
+        assert strategy is not None
+        assert hasattr(strategy, 'apply_strategy')
+    
+    def test_strategy_with_market_data(self, strategy, mock_market_data):
+        """Test strategy execution with mock market data."""
+        algorithm = Mock()
+        
+        # Should not raise exception
+        strategy.apply_strategy(algorithm, mock_market_data)
+        
+        # Verify market data was accessed
+        mock_market_data.get_last_price.assert_called()
+    
+    @pytest.mark.parametrize("price,expected_signal", [
+        (45000, "buy"),
+        (55000, "sell"),
+        (50000, "hold")
+    ])
+    def test_strategy_signals_at_different_prices(
+        self, 
+        strategy, 
+        price, 
+        expected_signal
+    ):
+        """Test strategy generates correct signals at different price levels."""
+        # Test implementation here
+        pass
+    
+    def test_strategy_handles_missing_data(self, strategy):
+        """Test strategy handles case when market data is unavailable."""
+        algorithm = Mock()
+        market_data = Mock()
+        market_data.get_last_price.return_value = None
+        
+        # Should handle gracefully without crashing
+        strategy.apply_strategy(algorithm, market_data)
+    
+    def test_strategy_error_handling(self, strategy):
+        """Test strategy handles exceptions in market data access."""
+        algorithm = Mock()
+        market_data = Mock()
+        market_data.get_last_price.side_effect = ConnectionError("Network error")
+        
+        with pytest.raises(ConnectionError):
+            strategy.apply_strategy(algorithm, market_data)
+```
+
+### Assertion Style
+
+```python
+# Good: Clear, specific assertions
+def test_portfolio_value_calculation():
+    portfolio = Portfolio()
+    portfolio.add_position("BTC", 0.1, 50000)
+    portfolio.add_position("ETH", 2.0, 3000)
+    
+    expected_value = (0.1 * 50000) + (2.0 * 3000)
+    actual_value = portfolio.calculate_total_value()
+    
+    assert actual_value == expected_value
+    assert portfolio.get_position_count() == 2
+
+# Good: Using pytest.approx for floating point comparisons
+def test_sharpe_ratio_calculation():
+    returns = [0.01, -0.02, 0.015, 0.008, -0.005]
+    sharpe = calculate_sharpe_ratio(returns, risk_free_rate=0.02)
+    
+    assert sharpe == pytest.approx(1.25, abs=0.01)
+
+# Good: Testing exception messages
+def test_invalid_order_amount():
+    portfolio = Portfolio()
+    
+    with pytest.raises(ValueError, match="Order amount must be positive"):
+        portfolio.create_buy_order("BTC/USDT", -100)
+```
+
+## Configuration Style
+
+### Environment Configuration
+
+```python
+# config/development.py
+class DevelopmentConfig:
+    """Development environment configuration."""
+    
+    DEBUG = True
+    TESTING = False
+    
+    # Database
+    DATABASE_URI = "sqlite:///dev.db"
+    
+    # Logging
+    LOG_LEVEL = "DEBUG"
+    LOG_FORMAT = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+    
+    # Trading
+    PAPER_TRADING = True
+    INITIAL_BALANCE = 10000.0
+    
+    # API Keys (should be loaded from environment)
+    EXCHANGE_API_KEY = os.getenv("DEV_EXCHANGE_API_KEY")
+    EXCHANGE_API_SECRET = os.getenv("DEV_EXCHANGE_API_SECRET")
+
+# config/production.py  
+class ProductionConfig:
+    """Production environment configuration."""
+    
+    DEBUG = False
+    TESTING = False
+    
+    # Database
+    DATABASE_URI = os.getenv("DATABASE_URI")
+    
+    # Logging
+    LOG_LEVEL = "INFO" 
+    LOG_FORMAT = "%(asctime)s - %(levelname)s - %(message)s"
+    
+    # Trading
+    PAPER_TRADING = False
+    INITIAL_BALANCE = float(os.getenv("INITIAL_BALANCE", "1000"))
+    
+    # Security
+    SECRET_KEY = os.getenv("SECRET_KEY")
+    EXCHANGE_API_KEY = os.getenv("EXCHANGE_API_KEY")
+    EXCHANGE_API_SECRET = os.getenv("EXCHANGE_API_SECRET")
+```
+
+### YAML Configuration Style
+
+```yaml
+# config.yaml
+app:
+  name: "Trading Bot"
+  version: "1.0.0"
+  environment: "production"
+
+database:
+  uri: "${DATABASE_URI}"
+  pool_size: 10
+  max_overflow: 20
+
+exchanges:
+  binance:
+    api_key: "${BINANCE_API_KEY}"
+    api_secret: "${BINANCE_API_SECRET}"
+    sandbox: false
+    rate_limit: 1200
+    
+portfolio:
+  initial_balance: 10000.0
+  trading_symbol: "USDT"
+  max_position_size: 0.25
+  risk_per_trade: 0.02
+
+strategies:
+  - name: "MA Crossover"
+    class: "MovingAverageStrategy"
+    parameters:
+      short_period: 20
+      long_period: 50
+      symbols: ["BTC/USDT", "ETH/USDT"]
+
+logging:
+  level: "INFO"
+  format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+  handlers:
+    - type: "file"
+      filename: "logs/trading.log"
+      max_size: "10MB"
+      backup_count: 5
+    - type: "console"
+      stream: "stdout"
+```
+
+## File Organization
+
+### Directory Structure
+
+```
+investing_algorithm_framework/
+├── __init__.py
+├── app/                    # Application layer
+│   ├── __init__.py
+│   ├── app.py
+│   ├── algorithm/
+│   ├── analysis/
+│   └── strategy/
+├── domain/                 # Domain models and business logic
+│   ├── __init__.py
+│   ├── models/
+│   ├── services/
+│   └── exceptions/
+├── infrastructure/         # External integrations
+│   ├── __init__.py
+│   ├── exchanges/
+│   ├── data_providers/
+│   └── databases/
+├── cli/                   # Command-line interface
+│   ├── __init__.py
+│   └── commands/
+└── utils/                 # Utility functions
+    ├── __init__.py
+    ├── datetime_utils.py
+    └── math_utils.py
+
+tests/
+├── __init__.py
+├── unit/
+├── integration/
+├── fixtures/
+└── conftest.py
+
+docs/
+├── api/
+├── guides/
+└── examples/
+
+examples/
+├── basic_trading_bot.py
+├── advanced_strategies/
+└── data_analysis/
+```
+
+### Module Structure
+
+```python
+# investing_algorithm_framework/domain/models/order.py
+"""
+Order domain model.
+
+This module contains the Order class and related enums for representing
+trading orders within the framework.
+"""
+
+from enum import Enum
+from datetime import datetime
+from typing import Optional
+from dataclasses import dataclass
+
+__all__ = ['Order', 'OrderStatus', 'OrderSide', 'OrderType']
+
+
+class OrderStatus(Enum):
+    """Enumeration of possible order statuses."""
+    PENDING = "pending"
+    OPEN = "open" 
+    FILLED = "filled"
+    CANCELLED = "cancelled"
+    REJECTED = "rejected"
+
+
+class OrderSide(Enum):
+    """Enumeration of order sides."""
+    BUY = "buy"
+    SELL = "sell"
+
+
+class OrderType(Enum):
+    """Enumeration of order types."""
+    MARKET = "market"
+    LIMIT = "limit"
+    STOP = "stop"
+    STOP_LIMIT = "stop_limit"
+
+
+@dataclass
+class Order:
+    """
+    Represents a trading order.
+    
+    This class encapsulates all information about a trading order,
+    including its type, status, and execution details.
+    
+    Attributes:
+        id: Unique identifier for the order
+        symbol: Trading pair symbol (e.g., "BTC/USDT")
+        side: Order side (buy or sell)
+        type: Order type (market, limit, etc.)
+        amount: Order amount in base currency
+        price: Order price (None for market orders)
+        status: Current order status
+        created_at: Order creation timestamp
+        updated_at: Last update timestamp
+    """
+    id: str
+    symbol: str
+    side: OrderSide
+    type: OrderType
+    amount: float
+    price: Optional[float] = None
+    status: OrderStatus = OrderStatus.PENDING
+    created_at: Optional[datetime] = None
+    updated_at: Optional[datetime] = None
+    
+    def __post_init__(self):
+        """Initialize timestamps if not provided."""
+        if self.created_at is None:
+            self.created_at = datetime.utcnow()
+        if self.updated_at is None:
+            self.updated_at = self.created_at
+```
+
+## Git Commit Style
+
+### Commit Message Format
+
+```
+<type>(<scope>): <description>
+
+<body>
+
+<footer>
+```
+
+### Types
+
+- **feat**: New feature
+- **fix**: Bug fix
+- **docs**: Documentation changes
+- **style**: Code style changes (formatting, etc.)
+- **refactor**: Code refactoring
+- **test**: Adding or updating tests
+- **chore**: Maintenance tasks
+
+### Examples
+
+```bash
+feat(portfolio): add automatic rebalancing functionality
+
+Implement automatic portfolio rebalancing based on target weights.
+The rebalancer monitors position sizes and triggers rebalancing
+when positions deviate beyond the configured threshold.
+
+Features:
+- Configurable target weights per asset
+- Customizable rebalancing threshold
+- Support for scheduled rebalancing
+- Comprehensive logging of rebalancing actions
+
+Closes #123
+
+fix(orders): handle exchange connection timeouts gracefully
+
+Previously, connection timeouts during order placement would crash
+the application. Now timeouts are caught and orders are retried
+with exponential backoff.
+
+- Add retry logic with exponential backoff
+- Improve error messages for timeout scenarios
+- Add comprehensive tests for timeout handling
+
+Fixes #456
+
+docs(api): update strategy creation examples
+
+Update the strategy creation documentation to include examples
+of the new portfolio rebalancing features and improved error
+handling patterns.
+
+test(integration): add end-to-end backtesting tests
+
+Add comprehensive integration tests that verify the complete
+backtesting workflow from strategy creation to results analysis.
+
+- Test multiple strategies simultaneously
+- Verify correct portfolio calculations
+- Test error handling in edge cases
+```
+
+Following these style guidelines ensures that the codebase remains consistent, readable, and maintainable as the project grows and more contributors join the effort.
diff --git a/docusaurus/docs/Data/download.md b/docusaurus/docs/Data/download.md
new file mode 100644
index 00000000..604936af
--- /dev/null
+++ b/docusaurus/docs/Data/download.md
@@ -0,0 +1,554 @@
+---
+sidebar_position: 1
+---
+
+# Download Data
+
+Learn how to download and manage market data for backtesting and live trading.
+
+## Overview
+
+The framework provides built-in data downloading capabilities that allow you to fetch historical market data from various sources. This data is essential for backtesting strategies and can also be used for live analysis.
+
+## Getting Started with Data Download
+
+### Basic Data Download
+
+```python
+from investing_algorithm_framework import download_data
+
+# Download Bitcoin price data
+data = download_data(
+    symbols=["BTC/USDT"],
+    start_date="2023-01-01",
+    end_date="2023-12-31",
+    timeframe="1d"
+)
+
+print(f"Downloaded {len(data)} data points")
+```
+
+### Multiple Symbols
+
+```python
+# Download data for multiple cryptocurrencies
+symbols = ["BTC/USDT", "ETH/USDT", "ADA/USDT", "DOT/USDT"]
+
+data = download_data(
+    symbols=symbols,
+    start_date="2023-01-01", 
+    end_date="2023-12-31",
+    timeframe="1h",
+    data_source="binance"
+)
+
+# Access data for each symbol
+for symbol in symbols:
+    symbol_data = data[symbol]
+    print(f"{symbol}: {len(symbol_data)} records")
+```
+
+## Data Sources
+
+### Supported Exchanges
+
+The framework supports multiple cryptocurrency exchanges:
+
+```python
+# Binance (default)
+binance_data = download_data(
+    symbols=["BTC/USDT"],
+    data_source="binance",
+    timeframe="1d",
+    start_date="2023-01-01"
+)
+
+# Coinbase Pro
+coinbase_data = download_data(
+    symbols=["BTC-USD"],
+    data_source="coinbase",
+    timeframe="1h", 
+    start_date="2023-01-01"
+)
+
+# Kraken
+kraken_data = download_data(
+    symbols=["XBTUSD"],
+    data_source="kraken",
+    timeframe="1d",
+    start_date="2023-01-01"
+)
+```
+
+### Stock Market Data
+
+```python
+# Download stock data using yfinance
+stock_data = download_data(
+    symbols=["AAPL", "GOOGL", "MSFT"],
+    data_source="yahoo",
+    timeframe="1d",
+    start_date="2023-01-01",
+    end_date="2023-12-31"
+)
+```
+
+## Timeframes
+
+### Available Timeframes
+
+```python
+timeframes = [
+    "1m",   # 1 minute
+    "5m",   # 5 minutes  
+    "15m",  # 15 minutes
+    "30m",  # 30 minutes
+    "1h",   # 1 hour
+    "4h",   # 4 hours
+    "1d",   # 1 day
+    "1w",   # 1 week
+    "1M"    # 1 month
+]
+
+# Download different timeframes
+for tf in ["1h", "4h", "1d"]:
+    data = download_data(
+        symbols=["BTC/USDT"],
+        timeframe=tf,
+        start_date="2023-01-01",
+        end_date="2023-01-31"
+    )
+    print(f"Timeframe {tf}: {len(data['BTC/USDT'])} candles")
+```
+
+## Data Storage
+
+### CSV Storage
+
+```python
+# Download and save to CSV
+data = download_data(
+    symbols=["BTC/USDT", "ETH/USDT"],
+    timeframe="1h",
+    start_date="2023-01-01",
+    end_date="2023-12-31",
+    save_to_csv=True,
+    csv_directory="./market_data/"
+)
+
+# Files will be saved as:
+# ./market_data/BTC_USDT_1h_20230101_20231231.csv
+# ./market_data/ETH_USDT_1h_20230101_20231231.csv
+```
+
+### Database Storage
+
+```python
+# Download and save to database
+from investing_algorithm_framework import create_app
+
+app = create_app()
+
+# Download data directly to app database
+app.download_data(
+    symbols=["BTC/USDT"],
+    timeframe="1d",
+    start_date="2023-01-01",
+    end_date="2023-12-31"
+)
+
+# Data is now available for backtesting
+results = app.run_backtest(
+    start_date="2023-01-01",
+    end_date="2023-12-31"
+)
+```
+
+### Custom Storage
+
+```python
+import pandas as pd
+
+class CustomDataStorage:
+    def __init__(self, storage_path):
+        self.storage_path = storage_path
+    
+    def save_data(self, symbol, data):
+        """Save data with custom format"""
+        
+        # Convert to pandas DataFrame
+        df = pd.DataFrame(data)
+        
+        # Add metadata
+        df.attrs['symbol'] = symbol
+        df.attrs['downloaded_at'] = pd.Timestamp.now()
+        
+        # Save with compression
+        filename = f"{symbol.replace('/', '_')}.parquet"
+        filepath = os.path.join(self.storage_path, filename)
+        df.to_parquet(filepath, compression='snappy')
+        
+        print(f"Saved {symbol} data to {filepath}")
+
+# Use custom storage
+storage = CustomDataStorage("./custom_data/")
+
+data = download_data(
+    symbols=["BTC/USDT"],
+    timeframe="1h",
+    start_date="2023-01-01"
+)
+
+storage.save_data("BTC/USDT", data["BTC/USDT"])
+```
+
+## Advanced Data Download
+
+### Progress Tracking
+
+```python
+from tqdm import tqdm
+
+def download_with_progress(symbols, **kwargs):
+    """Download data with progress bar"""
+    
+    results = {}
+    
+    for symbol in tqdm(symbols, desc="Downloading data"):
+        try:
+            data = download_data(
+                symbols=[symbol],
+                **kwargs
+            )
+            results[symbol] = data[symbol]
+            
+        except Exception as e:
+            print(f"Failed to download {symbol}: {e}")
+            results[symbol] = None
+    
+    return results
+
+# Download large number of symbols with progress
+crypto_symbols = [
+    "BTC/USDT", "ETH/USDT", "BNB/USDT", "ADA/USDT", 
+    "DOT/USDT", "LINK/USDT", "XRP/USDT", "LTC/USDT"
+]
+
+data = download_with_progress(
+    crypto_symbols,
+    timeframe="1d",
+    start_date="2023-01-01",
+    end_date="2023-12-31"
+)
+```
+
+### Retry Logic
+
+```python
+import time
+from typing import Optional
+
+def robust_download(symbols, max_retries=3, retry_delay=5, **kwargs):
+    """Download data with retry logic"""
+    
+    results = {}
+    
+    for symbol in symbols:
+        for attempt in range(max_retries):
+            try:
+                data = download_data(symbols=[symbol], **kwargs)
+                results[symbol] = data[symbol]
+                break
+                
+            except Exception as e:
+                print(f"Attempt {attempt + 1} failed for {symbol}: {e}")
+                
+                if attempt < max_retries - 1:
+                    time.sleep(retry_delay)
+                else:
+                    print(f"Failed to download {symbol} after {max_retries} attempts")
+                    results[symbol] = None
+    
+    return results
+```
+
+### Data Validation
+
+```python
+def validate_data(data, symbol):
+    """Validate downloaded data quality"""
+    
+    if not data or len(data) == 0:
+        raise ValueError(f"No data downloaded for {symbol}")
+    
+    df = pd.DataFrame(data)
+    
+    # Check for required columns
+    required_columns = ['open', 'high', 'low', 'close', 'volume']
+    missing_columns = [col for col in required_columns if col not in df.columns]
+    
+    if missing_columns:
+        raise ValueError(f"Missing columns in {symbol} data: {missing_columns}")
+    
+    # Check for null values
+    null_counts = df[required_columns].isnull().sum()
+    if null_counts.sum() > 0:
+        print(f"Warning: {symbol} has null values: {null_counts.to_dict()}")
+    
+    # Check for duplicate timestamps
+    if df.index.duplicated().any():
+        print(f"Warning: {symbol} has duplicate timestamps")
+    
+    # Validate price relationships
+    invalid_ohlc = (
+        (df['high'] < df['low']) |
+        (df['high'] < df['open']) |
+        (df['high'] < df['close']) |
+        (df['low'] > df['open']) |
+        (df['low'] > df['close'])
+    )
+    
+    if invalid_ohlc.any():
+        print(f"Warning: {symbol} has invalid OHLC relationships")
+    
+    print(f"✓ {symbol} data validation passed")
+    return True
+
+# Download and validate
+data = download_data(
+    symbols=["BTC/USDT"],
+    timeframe="1h",
+    start_date="2023-01-01",
+    end_date="2023-01-31"
+)
+
+for symbol, symbol_data in data.items():
+    validate_data(symbol_data, symbol)
+```
+
+## Data Management
+
+### Data Updates
+
+```python
+class DataManager:
+    def __init__(self, data_directory):
+        self.data_directory = data_directory
+    
+    def update_data(self, symbols, timeframe="1d"):
+        """Update existing data with latest records"""
+        
+        for symbol in symbols:
+            # Check existing data
+            existing_data = self.load_existing_data(symbol, timeframe)
+            
+            if existing_data is not None:
+                last_date = existing_data.index[-1]
+                start_date = last_date + pd.Timedelta(days=1)
+            else:
+                start_date = "2020-01-01"  # Default start date
+            
+            # Download new data
+            new_data = download_data(
+                symbols=[symbol],
+                timeframe=timeframe,
+                start_date=start_date.strftime('%Y-%m-%d'),
+                end_date=pd.Timestamp.now().strftime('%Y-%m-%d')
+            )
+            
+            if existing_data is not None:
+                # Merge with existing data
+                combined_data = pd.concat([existing_data, new_data[symbol]])
+                combined_data = combined_data[~combined_data.index.duplicated(keep='last')]
+            else:
+                combined_data = pd.DataFrame(new_data[symbol])
+            
+            # Save updated data
+            self.save_data(symbol, timeframe, combined_data)
+            print(f"Updated {symbol} data")
+    
+    def load_existing_data(self, symbol, timeframe):
+        """Load existing data from storage"""
+        filename = f"{symbol.replace('/', '_')}_{timeframe}.csv"
+        filepath = os.path.join(self.data_directory, filename)
+        
+        if os.path.exists(filepath):
+            return pd.read_csv(filepath, index_col=0, parse_dates=True)
+        return None
+    
+    def save_data(self, symbol, timeframe, data):
+        """Save data to storage"""
+        filename = f"{symbol.replace('/', '_')}_{timeframe}.csv"
+        filepath = os.path.join(self.data_directory, filename)
+        data.to_csv(filepath)
+
+# Usage
+data_manager = DataManager("./market_data/")
+data_manager.update_data(["BTC/USDT", "ETH/USDT"], timeframe="1d")
+```
+
+### Data Cleanup
+
+```python
+def cleanup_data(data):
+    """Clean and prepare market data"""
+    
+    df = pd.DataFrame(data)
+    
+    # Remove duplicates
+    df = df[~df.index.duplicated(keep='last')]
+    
+    # Forward fill missing values
+    df = df.fillna(method='ffill')
+    
+    # Remove outliers (prices that differ more than 20% from previous candle)
+    for col in ['open', 'high', 'low', 'close']:
+        price_change = df[col].pct_change().abs()
+        outliers = price_change > 0.2
+        
+        if outliers.any():
+            print(f"Removing {outliers.sum()} outliers from {col}")
+            df.loc[outliers, col] = df.loc[outliers, col].shift(1)
+    
+    # Ensure volume is positive
+    df['volume'] = df['volume'].abs()
+    
+    return df.to_dict('records')
+
+# Download and clean data
+raw_data = download_data(
+    symbols=["BTC/USDT"],
+    timeframe="1h",
+    start_date="2023-01-01"
+)
+
+clean_data = {}
+for symbol, data in raw_data.items():
+    clean_data[symbol] = cleanup_data(data)
+```
+
+## Command Line Interface
+
+### CLI Download Tool
+
+```bash
+# Download data via command line
+python -m investing_algorithm_framework download \
+    --symbols BTC/USDT ETH/USDT \
+    --timeframe 1d \
+    --start-date 2023-01-01 \
+    --end-date 2023-12-31 \
+    --output ./data/
+```
+
+### Scheduled Downloads
+
+```python
+# Create a task for regular data downloads
+from investing_algorithm_framework import Task
+
+class DataDownloadTask(Task):
+    def __init__(self):
+        super().__init__(
+            name="data_download",
+            interval="daily",
+            time="01:00"  # Run at 1 AM daily
+        )
+        self.symbols = ["BTC/USDT", "ETH/USDT", "ADA/USDT"]
+    
+    def run(self, algorithm):
+        """Download latest data daily"""
+        
+        # Get yesterday's date
+        yesterday = (datetime.now() - timedelta(days=1)).strftime('%Y-%m-%d')
+        
+        # Download data for yesterday
+        data = download_data(
+            symbols=self.symbols,
+            timeframe="1h",
+            start_date=yesterday,
+            end_date=yesterday,
+            save_to_csv=True,
+            csv_directory="./daily_data/"
+        )
+        
+        print(f"Downloaded data for {len(self.symbols)} symbols")
+
+# Register the task
+app = create_app()
+app.add_task(DataDownloadTask())
+```
+
+## Best Practices
+
+### 1. Rate Limiting
+
+```python
+import time
+
+def download_with_rate_limit(symbols, rate_limit=0.5, **kwargs):
+    """Download data with rate limiting to avoid API limits"""
+    
+    results = {}
+    
+    for i, symbol in enumerate(symbols):
+        if i > 0:
+            time.sleep(rate_limit)  # Wait between requests
+        
+        data = download_data(symbols=[symbol], **kwargs)
+        results[symbol] = data[symbol]
+        
+        print(f"Downloaded {symbol} ({i+1}/{len(symbols)})")
+    
+    return results
+```
+
+### 2. Error Handling
+
+```python
+def safe_download(symbols, **kwargs):
+    """Download data with comprehensive error handling"""
+    
+    successful = {}
+    failed = {}
+    
+    for symbol in symbols:
+        try:
+            data = download_data(symbols=[symbol], **kwargs)
+            successful[symbol] = data[symbol]
+            
+        except Exception as e:
+            failed[symbol] = str(e)
+            print(f"Failed to download {symbol}: {e}")
+    
+    print(f"Successfully downloaded: {len(successful)} symbols")
+    print(f"Failed downloads: {len(failed)} symbols")
+    
+    return successful, failed
+```
+
+### 3. Data Backup
+
+```python
+def backup_data(data_directory, backup_directory):
+    """Backup downloaded data"""
+    
+    import shutil
+    from datetime import datetime
+    
+    timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+    backup_path = os.path.join(backup_directory, f"data_backup_{timestamp}")
+    
+    shutil.copytree(data_directory, backup_path)
+    print(f"Data backed up to {backup_path}")
+```
+
+## Next Steps
+
+With market data downloaded, you can now:
+
+1. **Explore [Market Data Sources](market-data-sources)** to understand different data providers
+2. **Learn about [Multiple Data Sources](multiple-market-data-sources)** for comprehensive analysis
+3. **Start backtesting** your strategies with the downloaded data
+
+Remember to regularly update your data to ensure your backtests and live trading use the most current market information!
diff --git a/docusaurus/docs/Data/market-data-sources.md b/docusaurus/docs/Data/market-data-sources.md
new file mode 100644
index 00000000..a7581992
--- /dev/null
+++ b/docusaurus/docs/Data/market-data-sources.md
@@ -0,0 +1,556 @@
+---
+sidebar_position: 2
+---
+
+# Market Data Sources
+
+Understand the different market data sources available and how to configure them.
+
+## Overview
+
+The Investing Algorithm Framework supports multiple market data sources, allowing you to access real-time and historical data from various exchanges and providers. This flexibility enables you to choose the best data source for your specific trading needs.
+
+## Supported Data Sources
+
+### Cryptocurrency Exchanges
+
+#### Binance
+```python
+from investing_algorithm_framework import CCXTOHLCVDataProvider
+
+# Binance data provider
+binance_provider = CCXTOHLCVDataProvider(
+    exchange_name="binance",
+    symbols=["BTC/USDT", "ETH/USDT"],
+    timeframes=["1m", "1h", "1d"]
+)
+```
+
+#### Coinbase Pro
+```python
+coinbase_provider = CCXTOHLCVDataProvider(
+    exchange_name="coinbasepro",
+    symbols=["BTC-USD", "ETH-USD"],
+    timeframes=["1m", "1h", "1d"]
+)
+```
+
+#### Kraken
+```python
+kraken_provider = CCXTOHLCVDataProvider(
+    exchange_name="kraken",
+    symbols=["XBTUSD", "ETHUSD"],
+    timeframes=["1m", "1h", "1d"]
+)
+```
+
+### Stock Market Data
+
+#### Yahoo Finance
+```python
+from investing_algorithm_framework import YahooFinanceDataProvider
+
+yahoo_provider = YahooFinanceDataProvider(
+    symbols=["AAPL", "GOOGL", "MSFT", "TSLA"],
+    timeframes=["1d"]
+)
+```
+
+#### Alpha Vantage
+```python
+from investing_algorithm_framework import AlphaVantageDataProvider
+
+alpha_vantage_provider = AlphaVantageDataProvider(
+    api_key="YOUR_API_KEY",
+    symbols=["AAPL", "GOOGL"],
+    timeframes=["1d", "1h"]
+)
+```
+
+## Data Provider Configuration
+
+### Basic Configuration
+
+```python
+from investing_algorithm_framework import create_app
+
+app = create_app()
+
+# Add a data provider
+app.add_data_provider(binance_provider)
+
+# Add multiple providers
+app.add_data_provider(binance_provider)
+app.add_data_provider(yahoo_provider)
+```
+
+### Advanced Configuration
+
+```python
+# Configure with custom settings
+binance_provider = CCXTOHLCVDataProvider(
+    exchange_name="binance",
+    symbols=["BTC/USDT", "ETH/USDT"],
+    timeframes=["1m", "5m", "1h", "1d"],
+    # Advanced settings
+    rate_limit=1200,  # requests per minute
+    sandbox=False,    # use live data
+    timeout=30000,    # 30 seconds timeout
+    enable_rate_limit=True
+)
+```
+
+### Environment-Based Configuration
+
+```python
+import os
+
+# Configure based on environment
+is_production = os.getenv("ENVIRONMENT") == "production"
+
+if is_production:
+    # Production configuration
+    provider = CCXTOHLCVDataProvider(
+        exchange_name="binance",
+        symbols=["BTC/USDT", "ETH/USDT"],
+        sandbox=False
+    )
+else:
+    # Development/testing configuration
+    provider = CCXTOHLCVDataProvider(
+        exchange_name="binance",
+        symbols=["BTC/USDT", "ETH/USDT"],
+        sandbox=True  # Use testnet data
+    )
+
+app.add_data_provider(provider)
+```
+
+## Data Source Features
+
+### Real-time Data
+
+```python
+# Access real-time market data
+def get_current_prices(algorithm, market_data):
+    symbols = ["BTC/USDT", "ETH/USDT"]
+    
+    for symbol in symbols:
+        current_price = market_data.get_last_price(symbol)
+        print(f"{symbol}: ${current_price:.2f}")
+```
+
+### Historical Data
+
+```python
+# Access historical data
+def analyze_historical_data(algorithm, market_data):
+    symbol = "BTC/USDT"
+    
+    # Get last 100 daily candles
+    daily_data = market_data.get_data(symbol, timeframe="1d", size=100)
+    
+    # Get last 500 hourly candles
+    hourly_data = market_data.get_data(symbol, timeframe="1h", size=500)
+    
+    print(f"Daily data points: {len(daily_data)}")
+    print(f"Hourly data points: {len(hourly_data)}")
+```
+
+### Multiple Timeframes
+
+```python
+class MultiTimeframeStrategy(TradingStrategy):
+    def apply_strategy(self, algorithm, market_data):
+        symbol = "BTC/USDT"
+        
+        # Analyze different timeframes
+        daily_trend = self.analyze_daily_trend(market_data, symbol)
+        hourly_momentum = self.analyze_hourly_momentum(market_data, symbol)
+        minute_entry = self.find_minute_entry(market_data, symbol)
+        
+        # Combine signals from different timeframes
+        if daily_trend == "bullish" and hourly_momentum == "strong" and minute_entry:
+            algorithm.create_buy_order(
+                target_symbol="BTC",
+                amount=100,
+                order_type="MARKET"
+            )
+    
+    def analyze_daily_trend(self, market_data, symbol):
+        daily_data = market_data.get_data(symbol, timeframe="1d", size=20)
+        # Trend analysis logic
+        return "bullish"  # Example
+    
+    def analyze_hourly_momentum(self, market_data, symbol):
+        hourly_data = market_data.get_data(symbol, timeframe="1h", size=50)
+        # Momentum analysis logic
+        return "strong"  # Example
+    
+    def find_minute_entry(self, market_data, symbol):
+        minute_data = market_data.get_data(symbol, timeframe="1m", size=10)
+        # Entry signal logic
+        return True  # Example
+```
+
+## Custom Data Providers
+
+### Creating Custom Data Provider
+
+```python
+from investing_algorithm_framework import DataProvider
+import requests
+
+class CustomDataProvider(DataProvider):
+    def __init__(self, api_key, symbols):
+        super().__init__()
+        self.api_key = api_key
+        self.symbols = symbols
+        self.name = "custom_provider"
+    
+    def get_data(self, symbol, timeframe="1d", size=100):
+        """Fetch data from custom API"""
+        
+        url = f"https://api.custom-provider.com/data"
+        params = {
+            "symbol": symbol,
+            "timeframe": timeframe,
+            "limit": size,
+            "api_key": self.api_key
+        }
+        
+        response = requests.get(url, params=params)
+        data = response.json()
+        
+        # Convert to framework format
+        return self.format_data(data)
+    
+    def format_data(self, raw_data):
+        """Convert raw data to framework format"""
+        
+        formatted_data = []
+        for item in raw_data:
+            formatted_data.append({
+                "timestamp": item["timestamp"],
+                "open": float(item["open"]),
+                "high": float(item["high"]),
+                "low": float(item["low"]),
+                "close": float(item["close"]),
+                "volume": float(item["volume"])
+            })
+        
+        return formatted_data
+    
+    def is_connected(self):
+        """Check if data provider is connected"""
+        try:
+            # Test API connection
+            response = requests.get("https://api.custom-provider.com/status")
+            return response.status_code == 200
+        except:
+            return False
+
+# Use custom data provider
+custom_provider = CustomDataProvider(
+    api_key="your_api_key",
+    symbols=["CUSTOM/SYMBOL"]
+)
+
+app.add_data_provider(custom_provider)
+```
+
+### Database Data Provider
+
+```python
+import sqlite3
+import pandas as pd
+
+class DatabaseDataProvider(DataProvider):
+    def __init__(self, database_path):
+        super().__init__()
+        self.database_path = database_path
+        self.name = "database_provider"
+    
+    def get_data(self, symbol, timeframe="1d", size=100):
+        """Fetch data from local database"""
+        
+        conn = sqlite3.connect(self.database_path)
+        
+        query = """
+        SELECT timestamp, open, high, low, close, volume
+        FROM market_data
+        WHERE symbol = ? AND timeframe = ?
+        ORDER BY timestamp DESC
+        LIMIT ?
+        """
+        
+        df = pd.read_sql_query(query, conn, params=[symbol, timeframe, size])
+        conn.close()
+        
+        # Convert to framework format
+        return df.to_dict('records')
+    
+    def store_data(self, symbol, timeframe, data):
+        """Store data in database"""
+        
+        conn = sqlite3.connect(self.database_path)
+        
+        for item in data:
+            query = """
+            INSERT OR REPLACE INTO market_data 
+            (symbol, timeframe, timestamp, open, high, low, close, volume)
+            VALUES (?, ?, ?, ?, ?, ?, ?, ?)
+            """
+            
+            conn.execute(query, [
+                symbol, timeframe, item["timestamp"],
+                item["open"], item["high"], item["low"],
+                item["close"], item["volume"]
+            ])
+        
+        conn.commit()
+        conn.close()
+
+# Use database provider
+db_provider = DatabaseDataProvider("./market_data.db")
+app.add_data_provider(db_provider)
+```
+
+## Data Quality and Validation
+
+### Data Validation
+
+```python
+class ValidatedDataProvider(DataProvider):
+    def __init__(self, base_provider):
+        super().__init__()
+        self.base_provider = base_provider
+        self.name = f"validated_{base_provider.name}"
+    
+    def get_data(self, symbol, timeframe="1d", size=100):
+        """Get data with validation"""
+        
+        # Get data from base provider
+        data = self.base_provider.get_data(symbol, timeframe, size)
+        
+        # Validate data
+        validated_data = self.validate_data(data, symbol)
+        
+        return validated_data
+    
+    def validate_data(self, data, symbol):
+        """Validate and clean data"""
+        
+        if not data:
+            raise ValueError(f"No data received for {symbol}")
+        
+        df = pd.DataFrame(data)
+        
+        # Check for required columns
+        required_cols = ["open", "high", "low", "close", "volume"]
+        missing_cols = [col for col in required_cols if col not in df.columns]
+        
+        if missing_cols:
+            raise ValueError(f"Missing columns: {missing_cols}")
+        
+        # Validate price relationships
+        invalid_rows = (
+            (df["high"] < df["low"]) |
+            (df["high"] < df["open"]) |
+            (df["high"] < df["close"]) |
+            (df["low"] > df["open"]) |
+            (df["low"] > df["close"])
+        )
+        
+        if invalid_rows.any():
+            print(f"Warning: Found {invalid_rows.sum()} invalid OHLC rows")
+            # Remove invalid rows
+            df = df[~invalid_rows]
+        
+        # Remove duplicates
+        df = df.drop_duplicates(subset=["timestamp"])
+        
+        return df.to_dict('records')
+
+# Wrap provider with validation
+base_provider = CCXTOHLCVDataProvider("binance", ["BTC/USDT"])
+validated_provider = ValidatedDataProvider(base_provider)
+app.add_data_provider(validated_provider)
+```
+
+## Data Source Monitoring
+
+### Health Monitoring
+
+```python
+class DataSourceMonitor:
+    def __init__(self, providers):
+        self.providers = providers
+        self.health_status = {}
+    
+    def check_provider_health(self):
+        """Check health of all data providers"""
+        
+        for provider in self.providers:
+            try:
+                # Test data retrieval
+                test_data = provider.get_data("BTC/USDT", "1d", 1)
+                
+                if test_data and len(test_data) > 0:
+                    self.health_status[provider.name] = "healthy"
+                else:
+                    self.health_status[provider.name] = "no_data"
+                    
+            except Exception as e:
+                self.health_status[provider.name] = f"error: {e}"
+        
+        return self.health_status
+    
+    def get_healthy_providers(self):
+        """Get list of healthy providers"""
+        self.check_provider_health()
+        
+        healthy = [
+            provider for provider in self.providers
+            if self.health_status.get(provider.name) == "healthy"
+        ]
+        
+        return healthy
+
+# Monitor data sources
+monitor = DataSourceMonitor([binance_provider, coinbase_provider])
+healthy_providers = monitor.get_healthy_providers()
+
+print(f"Healthy providers: {len(healthy_providers)}")
+```
+
+### Fallback Strategy
+
+```python
+class FallbackDataProvider(DataProvider):
+    def __init__(self, primary_provider, fallback_providers):
+        super().__init__()
+        self.primary_provider = primary_provider
+        self.fallback_providers = fallback_providers
+        self.name = "fallback_provider"
+    
+    def get_data(self, symbol, timeframe="1d", size=100):
+        """Get data with fallback logic"""
+        
+        # Try primary provider first
+        try:
+            data = self.primary_provider.get_data(symbol, timeframe, size)
+            if data and len(data) > 0:
+                return data
+        except Exception as e:
+            print(f"Primary provider failed: {e}")
+        
+        # Try fallback providers
+        for i, provider in enumerate(self.fallback_providers):
+            try:
+                data = provider.get_data(symbol, timeframe, size)
+                if data and len(data) > 0:
+                    print(f"Using fallback provider {i+1}")
+                    return data
+            except Exception as e:
+                print(f"Fallback provider {i+1} failed: {e}")
+        
+        raise Exception("All data providers failed")
+
+# Create fallback strategy
+primary = CCXTOHLCVDataProvider("binance", ["BTC/USDT"])
+fallbacks = [
+    CCXTOHLCVDataProvider("coinbasepro", ["BTC-USD"]),
+    CCXTOHLCVDataProvider("kraken", ["XBTUSD"])
+]
+
+fallback_provider = FallbackDataProvider(primary, fallbacks)
+app.add_data_provider(fallback_provider)
+```
+
+## Best Practices
+
+### 1. Data Source Diversification
+
+Use multiple data sources to ensure reliability:
+
+```python
+# Configure multiple exchanges
+providers = [
+    CCXTOHLCVDataProvider("binance", ["BTC/USDT"]),
+    CCXTOHLCVDataProvider("coinbasepro", ["BTC-USD"]),
+    CCXTOHLCVDataProvider("kraken", ["XBTUSD"])
+]
+
+for provider in providers:
+    app.add_data_provider(provider)
+```
+
+### 2. Rate Limit Management
+
+Respect exchange rate limits:
+
+```python
+# Configure appropriate rate limits
+provider = CCXTOHLCVDataProvider(
+    "binance",
+    ["BTC/USDT"],
+    rate_limit=1000,  # requests per minute
+    enable_rate_limit=True
+)
+```
+
+### 3. Error Handling
+
+Implement robust error handling:
+
+```python
+def safe_data_access(market_data, symbol, timeframe="1d"):
+    try:
+        data = market_data.get_data(symbol, timeframe, 100)
+        return data
+    except Exception as e:
+        print(f"Failed to get data for {symbol}: {e}")
+        return None
+```
+
+### 4. Data Caching
+
+Cache frequently accessed data:
+
+```python
+class CachedDataProvider(DataProvider):
+    def __init__(self, base_provider, cache_ttl=60):
+        self.base_provider = base_provider
+        self.cache_ttl = cache_ttl
+        self.cache = {}
+        self.cache_timestamps = {}
+    
+    def get_data(self, symbol, timeframe="1d", size=100):
+        cache_key = f"{symbol}_{timeframe}_{size}"
+        now = datetime.now().timestamp()
+        
+        # Check cache
+        if (cache_key in self.cache and 
+            now - self.cache_timestamps[cache_key] < self.cache_ttl):
+            return self.cache[cache_key]
+        
+        # Fetch fresh data
+        data = self.base_provider.get_data(symbol, timeframe, size)
+        
+        # Update cache
+        self.cache[cache_key] = data
+        self.cache_timestamps[cache_key] = now
+        
+        return data
+```
+
+## Next Steps
+
+Now that you understand market data sources, explore:
+
+1. **[Multiple Market Data Sources](multiple-market-data-sources)** to learn about combining data from different providers
+2. **Data validation and quality assurance techniques**
+3. **Performance optimization for data access**
+
+Understanding your data sources is crucial for building reliable trading algorithms!
diff --git a/docusaurus/docs/Data/multiple-market-data-sources.md b/docusaurus/docs/Data/multiple-market-data-sources.md
new file mode 100644
index 00000000..7f2430d6
--- /dev/null
+++ b/docusaurus/docs/Data/multiple-market-data-sources.md
@@ -0,0 +1,856 @@
+---
+sidebar_position: 3
+---
+
+# Multiple Market Data Sources
+
+Learn how to integrate and manage multiple data sources for comprehensive market analysis.
+
+## Overview
+
+Using multiple market data sources enhances the reliability, coverage, and quality of your trading system. This guide covers strategies for integrating different data providers, handling data conflicts, and creating robust data pipelines.
+
+## Benefits of Multiple Data Sources
+
+### 1. Increased Reliability
+- **Redundancy**: Backup data sources when primary fails
+- **Uptime**: Higher overall system availability
+- **Risk Reduction**: Less dependence on single provider
+
+### 2. Enhanced Coverage
+- **Geographic Coverage**: Different exchanges for different regions
+- **Asset Coverage**: Access to more trading pairs and assets
+- **Time Coverage**: Fill gaps with alternative sources
+
+### 3. Data Quality Improvements
+- **Cross-Validation**: Compare data across sources
+- **Anomaly Detection**: Identify outliers and errors
+- **Data Enrichment**: Combine complementary data types
+
+## Setting Up Multiple Data Sources
+
+### Basic Multi-Source Configuration
+
+```python
+from investing_algorithm_framework import create_app, CCXTOHLCVDataProvider
+
+app = create_app()
+
+# Configure multiple cryptocurrency exchanges
+binance_provider = CCXTOHLCVDataProvider(
+    exchange_name="binance",
+    symbols=["BTC/USDT", "ETH/USDT", "ADA/USDT"],
+    timeframes=["1m", "1h", "1d"]
+)
+
+coinbase_provider = CCXTOHLCVDataProvider(
+    exchange_name="coinbasepro", 
+    symbols=["BTC-USD", "ETH-USD", "ADA-USD"],
+    timeframes=["1m", "1h", "1d"]
+)
+
+kraken_provider = CCXTOHLCVDataProvider(
+    exchange_name="kraken",
+    symbols=["XBTUSD", "ETHUSD", "ADAUSD"], 
+    timeframes=["1m", "1h", "1d"]
+)
+
+# Add all providers to the app
+app.add_data_provider(binance_provider)
+app.add_data_provider(coinbase_provider)
+app.add_data_provider(kraken_provider)
+```
+
+### Mixed Asset Classes
+
+```python
+# Combine crypto and stock data
+from investing_algorithm_framework import YahooFinanceDataProvider
+
+# Cryptocurrency data
+crypto_provider = CCXTOHLCVDataProvider(
+    "binance", 
+    ["BTC/USDT", "ETH/USDT"]
+)
+
+# Stock market data  
+stock_provider = YahooFinanceDataProvider(
+    symbols=["AAPL", "GOOGL", "TSLA", "MSFT"],
+    timeframes=["1d"]
+)
+
+# Economic indicators (example custom provider)
+economic_provider = CustomEconomicDataProvider(
+    indicators=["GDP", "CPI", "UNEMPLOYMENT"]
+)
+
+app.add_data_provider(crypto_provider)
+app.add_data_provider(stock_provider)
+app.add_data_provider(economic_provider)
+```
+
+## Data Source Management
+
+### Data Router
+
+```python
+class DataRouter:
+    def __init__(self):
+        self.providers = {}
+        self.symbol_mappings = {}
+        self.priority_order = []
+    
+    def add_provider(self, provider, priority=1):
+        """Add data provider with priority"""
+        self.providers[provider.name] = {
+            'provider': provider,
+            'priority': priority
+        }
+        self._update_priority_order()
+    
+    def map_symbol(self, standard_symbol, provider_symbols):
+        """Map standard symbol to provider-specific symbols"""
+        self.symbol_mappings[standard_symbol] = provider_symbols
+    
+    def get_data(self, symbol, timeframe="1d", size=100):
+        """Get data using provider priority and symbol mapping"""
+        
+        # Get provider-specific symbol mappings
+        provider_symbols = self.symbol_mappings.get(symbol, {})
+        
+        for provider_name in self.priority_order:
+            provider_info = self.providers[provider_name]
+            provider = provider_info['provider']
+            
+            # Get the correct symbol for this provider
+            provider_symbol = provider_symbols.get(provider_name, symbol)
+            
+            try:
+                data = provider.get_data(provider_symbol, timeframe, size)
+                if data and len(data) > 0:
+                    print(f"Retrieved {symbol} data from {provider_name}")
+                    return data
+            except Exception as e:
+                print(f"Failed to get {symbol} from {provider_name}: {e}")
+                continue
+        
+        raise Exception(f"No provider could retrieve data for {symbol}")
+    
+    def _update_priority_order(self):
+        """Update provider order based on priority"""
+        sorted_providers = sorted(
+            self.providers.items(),
+            key=lambda x: x[1]['priority'],
+            reverse=True
+        )
+        self.priority_order = [name for name, _ in sorted_providers]
+
+# Setup data router
+router = DataRouter()
+
+# Add providers with priorities
+router.add_provider(binance_provider, priority=3)  # Highest priority
+router.add_provider(coinbase_provider, priority=2)
+router.add_provider(kraken_provider, priority=1)   # Lowest priority
+
+# Map symbols across exchanges
+router.map_symbol("BTC/USD", {
+    "binance": "BTC/USDT",
+    "coinbasepro": "BTC-USD", 
+    "kraken": "XBTUSD"
+})
+
+router.map_symbol("ETH/USD", {
+    "binance": "ETH/USDT",
+    "coinbasepro": "ETH-USD",
+    "kraken": "ETHUSD"
+})
+
+# Use router to get data
+btc_data = router.get_data("BTC/USD", "1h", 100)
+```
+
+### Data Aggregator
+
+```python
+import pandas as pd
+from statistics import mean, median
+
+class DataAggregator:
+    def __init__(self, providers):
+        self.providers = providers
+    
+    def get_aggregated_price(self, symbol, method="mean"):
+        """Get aggregated price from multiple sources"""
+        
+        prices = []
+        
+        for provider in self.providers:
+            try:
+                data = provider.get_data(symbol, "1m", 1)
+                if data:
+                    current_price = data[0]["close"]
+                    prices.append(current_price)
+            except Exception as e:
+                print(f"Failed to get price from {provider.name}: {e}")
+        
+        if not prices:
+            raise Exception("No price data available from any provider")
+        
+        # Aggregate prices
+        if method == "mean":
+            return mean(prices)
+        elif method == "median":
+            return median(prices)
+        elif method == "min":
+            return min(prices)
+        elif method == "max":
+            return max(prices)
+        else:
+            raise ValueError(f"Unknown aggregation method: {method}")
+    
+    def get_consensus_data(self, symbol, timeframe="1d", size=100):
+        """Get consensus OHLCV data from multiple sources"""
+        
+        all_data = []
+        
+        # Collect data from all providers
+        for provider in self.providers:
+            try:
+                data = provider.get_data(symbol, timeframe, size)
+                if data:
+                    df = pd.DataFrame(data)
+                    df['source'] = provider.name
+                    all_data.append(df)
+            except Exception as e:
+                print(f"Failed to get data from {provider.name}: {e}")
+        
+        if not all_data:
+            raise Exception("No data available from any provider")
+        
+        # Combine and aggregate data
+        combined_df = pd.concat(all_data, ignore_index=True)
+        
+        # Group by timestamp and aggregate
+        consensus_data = combined_df.groupby('timestamp').agg({
+            'open': 'mean',
+            'high': 'mean', 
+            'low': 'mean',
+            'close': 'mean',
+            'volume': 'sum'  # Sum volumes across exchanges
+        }).reset_index()
+        
+        return consensus_data.to_dict('records')
+
+# Use data aggregator
+aggregator = DataAggregator([binance_provider, coinbase_provider, kraken_provider])
+
+# Get aggregated current price
+current_btc_price = aggregator.get_aggregated_price("BTC/USDT", method="median")
+print(f"Consensus BTC price: ${current_btc_price:.2f}")
+
+# Get consensus historical data
+consensus_data = aggregator.get_consensus_data("BTC/USDT", "1h", 24)
+```
+
+## Data Quality Management
+
+### Cross-Validation
+
+```python
+class DataValidator:
+    def __init__(self, providers, tolerance=0.05):
+        self.providers = providers
+        self.tolerance = tolerance  # 5% tolerance for price differences
+    
+    def validate_price_consensus(self, symbol):
+        """Validate price consistency across providers"""
+        
+        prices = {}
+        
+        for provider in self.providers:
+            try:
+                data = provider.get_data(symbol, "1m", 1)
+                if data:
+                    prices[provider.name] = data[0]["close"]
+            except Exception as e:
+                print(f"Failed to get price from {provider.name}: {e}")
+        
+        if len(prices) < 2:
+            return {"status": "insufficient_data", "prices": prices}
+        
+        # Calculate price deviation
+        price_values = list(prices.values())
+        avg_price = mean(price_values)
+        max_deviation = max(abs(p - avg_price) / avg_price for p in price_values)
+        
+        status = "valid" if max_deviation <= self.tolerance else "invalid"
+        
+        return {
+            "status": status,
+            "prices": prices,
+            "average_price": avg_price,
+            "max_deviation": max_deviation,
+            "tolerance": self.tolerance
+        }
+    
+    def identify_outliers(self, symbol, timeframe="1d", size=100):
+        """Identify outlier data points across providers"""
+        
+        all_data = {}
+        
+        # Collect data from all providers
+        for provider in self.providers:
+            try:
+                data = provider.get_data(symbol, timeframe, size)
+                if data:
+                    all_data[provider.name] = pd.DataFrame(data)
+            except Exception as e:
+                print(f"Failed to get data from {provider.name}: {e}")
+        
+        outliers = {}
+        
+        # Compare each timestamp across providers
+        if len(all_data) >= 2:
+            timestamps = set()
+            for df in all_data.values():
+                timestamps.update(df['timestamp'])
+            
+            for timestamp in timestamps:
+                prices = []
+                for provider_name, df in all_data.items():
+                    timestamp_data = df[df['timestamp'] == timestamp]
+                    if not timestamp_data.empty:
+                        prices.append({
+                            'provider': provider_name,
+                            'close': timestamp_data.iloc[0]['close']
+                        })
+                
+                if len(prices) >= 2:
+                    # Check for outliers
+                    avg_price = mean([p['close'] for p in prices])
+                    
+                    for price_data in prices:
+                        deviation = abs(price_data['close'] - avg_price) / avg_price
+                        if deviation > self.tolerance:
+                            if timestamp not in outliers:
+                                outliers[timestamp] = []
+                            outliers[timestamp].append({
+                                'provider': price_data['provider'],
+                                'price': price_data['close'],
+                                'deviation': deviation
+                            })
+        
+        return outliers
+
+# Validate data quality
+validator = DataValidator([binance_provider, coinbase_provider, kraken_provider])
+
+# Check price consensus
+consensus_result = validator.validate_price_consensus("BTC/USDT")
+print(f"Price consensus: {consensus_result}")
+
+# Identify outliers
+outliers = validator.identify_outliers("BTC/USDT", "1h", 24)
+if outliers:
+    print(f"Found outliers at {len(outliers)} timestamps")
+```
+
+### Data Synchronization
+
+```python
+class DataSynchronizer:
+    def __init__(self, providers):
+        self.providers = providers
+    
+    def synchronize_data(self, symbol, timeframe="1d", size=100):
+        """Synchronize data timestamps across providers"""
+        
+        all_data = {}
+        
+        # Get data from all providers
+        for provider in self.providers:
+            try:
+                data = provider.get_data(symbol, timeframe, size)
+                if data:
+                    df = pd.DataFrame(data)
+                    df['timestamp'] = pd.to_datetime(df['timestamp'])
+                    df.set_index('timestamp', inplace=True)
+                    all_data[provider.name] = df
+            except Exception as e:
+                print(f"Failed to get data from {provider.name}: {e}")
+        
+        if not all_data:
+            return None
+        
+        # Find common timestamp range
+        start_times = [df.index.min() for df in all_data.values()]
+        end_times = [df.index.max() for df in all_data.values()]
+        
+        common_start = max(start_times)
+        common_end = min(end_times)
+        
+        # Align data to common timestamps
+        synchronized_data = {}
+        
+        for provider_name, df in all_data.items():
+            # Filter to common time range
+            mask = (df.index >= common_start) & (df.index <= common_end)
+            synchronized_data[provider_name] = df.loc[mask]
+        
+        return synchronized_data
+    
+    def merge_synchronized_data(self, synchronized_data):
+        """Merge synchronized data with provider labels"""
+        
+        merged_data = pd.DataFrame()
+        
+        for provider_name, df in synchronized_data.items():
+            # Add provider suffix to columns
+            provider_df = df.copy()
+            provider_df.columns = [f"{col}_{provider_name}" for col in provider_df.columns]
+            
+            if merged_data.empty:
+                merged_data = provider_df
+            else:
+                merged_data = merged_data.join(provider_df, how='outer')
+        
+        return merged_data
+
+# Synchronize data across providers
+synchronizer = DataSynchronizer([binance_provider, coinbase_provider])
+sync_data = synchronizer.synchronize_data("BTC/USDT", "1h", 100)
+merged_data = synchronizer.merge_synchronized_data(sync_data)
+
+print(f"Synchronized data shape: {merged_data.shape}")
+```
+
+## Advanced Multi-Source Strategies
+
+### Arbitrage Detection
+
+```python
+class ArbitrageDetector:
+    def __init__(self, providers, min_profit_threshold=0.01):
+        self.providers = providers
+        self.min_profit_threshold = min_profit_threshold
+    
+    def detect_arbitrage_opportunities(self, symbol):
+        """Detect price differences across exchanges"""
+        
+        prices = {}
+        
+        # Get current prices from all exchanges
+        for provider in self.providers:
+            try:
+                data = provider.get_data(symbol, "1m", 1)
+                if data:
+                    prices[provider.name] = {
+                        'price': data[0]["close"],
+                        'timestamp': data[0]["timestamp"]
+                    }
+            except Exception as e:
+                print(f"Failed to get price from {provider.name}: {e}")
+        
+        if len(prices) < 2:
+            return []
+        
+        opportunities = []
+        
+        # Find arbitrage opportunities
+        provider_names = list(prices.keys())
+        
+        for i in range(len(provider_names)):
+            for j in range(i + 1, len(provider_names)):
+                provider_a = provider_names[i]
+                provider_b = provider_names[j]
+                
+                price_a = prices[provider_a]['price']
+                price_b = prices[provider_b]['price']
+                
+                # Calculate profit potential
+                if price_a < price_b:
+                    profit_pct = (price_b - price_a) / price_a
+                    buy_exchange = provider_a
+                    sell_exchange = provider_b
+                else:
+                    profit_pct = (price_a - price_b) / price_b
+                    buy_exchange = provider_b
+                    sell_exchange = provider_a
+                
+                if profit_pct >= self.min_profit_threshold:
+                    opportunities.append({
+                        'symbol': symbol,
+                        'buy_exchange': buy_exchange,
+                        'sell_exchange': sell_exchange,
+                        'buy_price': min(price_a, price_b),
+                        'sell_price': max(price_a, price_b),
+                        'profit_percentage': profit_pct * 100,
+                        'timestamp': max(prices[provider_a]['timestamp'], 
+                                       prices[provider_b]['timestamp'])
+                    })
+        
+        return opportunities
+
+# Detect arbitrage opportunities
+arbitrage_detector = ArbitrageDetector([binance_provider, coinbase_provider, kraken_provider])
+opportunities = arbitrage_detector.detect_arbitrage_opportunities("BTC/USDT")
+
+for opp in opportunities:
+    print(f"Arbitrage opportunity: Buy on {opp['buy_exchange']} at "
+          f"${opp['buy_price']:.2f}, sell on {opp['sell_exchange']} at "
+          f"${opp['sell_price']:.2f} ({opp['profit_percentage']:.2f}% profit)")
+```
+
+### Data Quality Scoring
+
+```python
+class DataQualityScorer:
+    def __init__(self, providers):
+        self.providers = providers
+        self.scores = {}
+    
+    def calculate_quality_score(self, symbol, timeframe="1d", size=100):
+        """Calculate quality score for each provider"""
+        
+        scores = {}
+        
+        for provider in self.providers:
+            score = 0
+            max_score = 100
+            
+            try:
+                # Test data retrieval
+                data = provider.get_data(symbol, timeframe, size)
+                
+                if not data:
+                    scores[provider.name] = 0
+                    continue
+                
+                df = pd.DataFrame(data)
+                
+                # Completeness score (40 points)
+                completeness = len(df) / size
+                score += completeness * 40
+                
+                # Data integrity score (30 points)
+                # Check for null values
+                null_ratio = df.isnull().sum().sum() / (len(df) * len(df.columns))
+                integrity_score = max(0, 1 - null_ratio) * 30
+                score += integrity_score
+                
+                # Price consistency score (30 points)
+                # Check OHLC relationships
+                valid_ohlc = (
+                    (df['high'] >= df['low']) &
+                    (df['high'] >= df['open']) &
+                    (df['high'] >= df['close']) &
+                    (df['low'] <= df['open']) &
+                    (df['low'] <= df['close'])
+                ).mean()
+                score += valid_ohlc * 30
+                
+                scores[provider.name] = min(score, max_score)
+                
+            except Exception as e:
+                print(f"Error calculating score for {provider.name}: {e}")
+                scores[provider.name] = 0
+        
+        self.scores[symbol] = scores
+        return scores
+    
+    def get_best_provider(self, symbol):
+        """Get the provider with the highest quality score"""
+        if symbol not in self.scores:
+            self.calculate_quality_score(symbol)
+        
+        scores = self.scores[symbol]
+        if not scores:
+            return None
+        
+        best_provider = max(scores, key=scores.get)
+        return best_provider, scores[best_provider]
+
+# Calculate data quality scores
+quality_scorer = DataQualityScorer([binance_provider, coinbase_provider, kraken_provider])
+scores = quality_scorer.calculate_quality_score("BTC/USDT")
+
+print("Data quality scores:")
+for provider, score in scores.items():
+    print(f"{provider}: {score:.1f}/100")
+
+best_provider, best_score = quality_scorer.get_best_provider("BTC/USDT")
+print(f"Best provider: {best_provider} ({best_score:.1f}/100)")
+```
+
+## Performance Optimization
+
+### Connection Pooling
+
+```python
+import asyncio
+import aiohttp
+from concurrent.futures import ThreadPoolExecutor
+
+class AsyncDataProvider:
+    def __init__(self, providers):
+        self.providers = providers
+        self.executor = ThreadPoolExecutor(max_workers=len(providers))
+    
+    async def get_data_async(self, symbol, timeframe="1d", size=100):
+        """Fetch data from multiple providers asynchronously"""
+        
+        async def fetch_from_provider(provider):
+            try:
+                # Run synchronous provider call in thread pool
+                loop = asyncio.get_event_loop()
+                data = await loop.run_in_executor(
+                    self.executor,
+                    provider.get_data,
+                    symbol, timeframe, size
+                )
+                return provider.name, data
+            except Exception as e:
+                return provider.name, None
+        
+        # Fetch from all providers concurrently
+        tasks = [fetch_from_provider(provider) for provider in self.providers]
+        results = await asyncio.gather(*tasks)
+        
+        # Return successful results
+        successful_results = {}
+        for provider_name, data in results:
+            if data:
+                successful_results[provider_name] = data
+        
+        return successful_results
+
+# Use async data fetching
+async def main():
+    async_provider = AsyncDataProvider([binance_provider, coinbase_provider, kraken_provider])
+    results = await async_provider.get_data_async("BTC/USDT", "1h", 100)
+    
+    print(f"Retrieved data from {len(results)} providers")
+    for provider_name, data in results.items():
+        print(f"{provider_name}: {len(data)} data points")
+
+# Run async example
+# asyncio.run(main())
+```
+
+### Caching Strategy
+
+```python
+import redis
+import json
+import hashlib
+from datetime import datetime, timedelta
+
+class MultiSourceCache:
+    def __init__(self, redis_client, default_ttl=300):
+        self.redis_client = redis_client
+        self.default_ttl = default_ttl
+    
+    def get_cache_key(self, provider_name, symbol, timeframe, size):
+        """Generate cache key"""
+        key_data = f"{provider_name}:{symbol}:{timeframe}:{size}"
+        return f"data_cache:{hashlib.md5(key_data.encode()).hexdigest()}"
+    
+    def get_cached_data(self, provider_name, symbol, timeframe, size):
+        """Get data from cache"""
+        cache_key = self.get_cache_key(provider_name, symbol, timeframe, size)
+        cached_data = self.redis_client.get(cache_key)
+        
+        if cached_data:
+            return json.loads(cached_data)
+        return None
+    
+    def cache_data(self, provider_name, symbol, timeframe, size, data, ttl=None):
+        """Cache data with TTL"""
+        cache_key = self.get_cache_key(provider_name, symbol, timeframe, size)
+        ttl = ttl or self.default_ttl
+        
+        self.redis_client.setex(
+            cache_key,
+            ttl,
+            json.dumps(data, default=str)
+        )
+
+class CachedMultiSourceProvider:
+    def __init__(self, providers, cache):
+        self.providers = providers
+        self.cache = cache
+    
+    def get_data(self, symbol, timeframe="1d", size=100):
+        """Get data with caching"""
+        
+        for provider in self.providers:
+            # Try cache first
+            cached_data = self.cache.get_cached_data(
+                provider.name, symbol, timeframe, size
+            )
+            
+            if cached_data:
+                print(f"Cache hit for {provider.name}")
+                return cached_data
+            
+            # Fetch fresh data
+            try:
+                data = provider.get_data(symbol, timeframe, size)
+                if data:
+                    # Cache the data
+                    self.cache.cache_data(
+                        provider.name, symbol, timeframe, size, data
+                    )
+                    return data
+            except Exception as e:
+                print(f"Failed to get data from {provider.name}: {e}")
+        
+        raise Exception("No provider could retrieve data")
+
+# Setup caching (assuming Redis is available)
+# redis_client = redis.Redis(host='localhost', port=6379, db=0)
+# cache = MultiSourceCache(redis_client)
+# cached_provider = CachedMultiSourceProvider([binance_provider, coinbase_provider], cache)
+```
+
+## Best Practices
+
+### 1. Provider Health Monitoring
+
+```python
+class ProviderHealthMonitor:
+    def __init__(self, providers):
+        self.providers = providers
+        self.health_history = {}
+    
+    def monitor_providers(self):
+        """Monitor provider health continuously"""
+        
+        for provider in self.providers:
+            try:
+                # Test data retrieval
+                test_data = provider.get_data("BTC/USDT", "1m", 1)
+                success = test_data is not None and len(test_data) > 0
+                
+                # Update health history
+                if provider.name not in self.health_history:
+                    self.health_history[provider.name] = []
+                
+                self.health_history[provider.name].append({
+                    'timestamp': datetime.now(),
+                    'success': success
+                })
+                
+                # Keep only last 100 health checks
+                self.health_history[provider.name] = self.health_history[provider.name][-100:]
+                
+            except Exception as e:
+                print(f"Health check failed for {provider.name}: {e}")
+    
+    def get_provider_reliability(self, provider_name):
+        """Get provider reliability percentage"""
+        
+        if provider_name not in self.health_history:
+            return 0
+        
+        history = self.health_history[provider_name]
+        if not history:
+            return 0
+        
+        successes = sum(1 for check in history if check['success'])
+        return (successes / len(history)) * 100
+
+# Monitor provider health
+monitor = ProviderHealthMonitor([binance_provider, coinbase_provider, kraken_provider])
+monitor.monitor_providers()
+
+for provider in [binance_provider, coinbase_provider, kraken_provider]:
+    reliability = monitor.get_provider_reliability(provider.name)
+    print(f"{provider.name} reliability: {reliability:.1f}%")
+```
+
+### 2. Graceful Degradation
+
+```python
+class GracefulDataProvider:
+    def __init__(self, providers, min_providers=1):
+        self.providers = providers
+        self.min_providers = min_providers
+        self.failed_providers = set()
+    
+    def get_data(self, symbol, timeframe="1d", size=100):
+        """Get data with graceful degradation"""
+        
+        available_providers = [
+            p for p in self.providers 
+            if p.name not in self.failed_providers
+        ]
+        
+        if len(available_providers) < self.min_providers:
+            # Reset failed providers if too many failed
+            self.failed_providers.clear()
+            available_providers = self.providers
+        
+        for provider in available_providers:
+            try:
+                data = provider.get_data(symbol, timeframe, size)
+                if data:
+                    # Remove from failed list if successful
+                    self.failed_providers.discard(provider.name)
+                    return data
+            except Exception as e:
+                print(f"Provider {provider.name} failed: {e}")
+                self.failed_providers.add(provider.name)
+        
+        raise Exception("All providers failed")
+
+# Use graceful degradation
+graceful_provider = GracefulDataProvider([binance_provider, coinbase_provider, kraken_provider])
+```
+
+### 3. Data Consistency Checks
+
+```python
+def validate_multi_source_data(data_sources):
+    """Validate consistency across multiple data sources"""
+    
+    if len(data_sources) < 2:
+        return {"status": "insufficient_sources"}
+    
+    # Compare latest prices
+    latest_prices = []
+    for source_name, data in data_sources.items():
+        if data and len(data) > 0:
+            latest_prices.append({
+                'source': source_name,
+                'price': data[0]['close'],
+                'timestamp': data[0]['timestamp']
+            })
+    
+    if len(latest_prices) < 2:
+        return {"status": "insufficient_data"}
+    
+    # Calculate price deviation
+    prices = [p['price'] for p in latest_prices]
+    avg_price = mean(prices)
+    max_deviation = max(abs(p - avg_price) / avg_price for p in prices)
+    
+    return {
+        "status": "valid" if max_deviation < 0.05 else "inconsistent",
+        "prices": latest_prices,
+        "average_price": avg_price,
+        "max_deviation": max_deviation
+    }
+```
+
+## Next Steps
+
+With multiple data sources configured, you can:
+
+1. **Implement advanced trading strategies** that leverage data from multiple markets
+2. **Build robust monitoring systems** to track data quality and provider performance  
+3. **Develop arbitrage detection** and cross-market analysis capabilities
+4. **Create data backup and recovery** procedures for production systems
+
+Multiple data sources provide the foundation for sophisticated, reliable trading systems that can adapt to changing market conditions and provider availability.
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class="breadcrumbs__link">Getting Started</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">application setup</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Create an app instance</h1></header><h2 class="anchor anchorWithStickyNavbar_LWe7" id="-application-setup-through-cli-command-line-interface">🔧 Application Setup through CLI: Command Line Interface<a href="#-application-setup-through-cli-command-line-interface" class="hash-link" aria-label="Direct link to 🔧 Application Setup through CLI: Command Line Interface" title="Direct link to 🔧 Application Setup through CLI: Command Line Interface">​</a></h2><p>The CLI tool included with the framework allows you to initialize new apps with different presets</p><p>The best way to get started with the framework is to create an application through the init cli command.
-You can do this by running the following command in your terminal:</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="️-init-command">⚙️ init Command<a href="#️-init-command" class="hash-link" aria-label="Direct link to ⚙️ init Command" title="Direct link to ⚙️ init Command">​</a></h3><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">investing-algorithm-framework init --type default --path ./my-app --replace</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><table><thead><tr><th>Option</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td><code>--type</code></td><td><code>str</code></td><td>Type of app to initialize (<code>default</code>, <code>default_web</code>, <code>azure_function</code>).</td></tr><tr><td><code>--path</code></td><td><code>str</code></td><td>Directory path to create the app in.</td></tr><tr><td><code>--replace</code></td><td><code>bool</code></td><td>If <code>True</code>, existing files will be overwritten.</td></tr></tbody></table><p>This will create the following directory structure:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token builtin class-name">.</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── README.md</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── app.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── requirements.txt</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── .env.example</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── run_backtest.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── strategies/</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">│   └── strategy_v1/</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">│       ├── __init__.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">│       └── strategy.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">└── .gitignore</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>The <code>app.py</code> file is the main entry point for your application. Ideally, you should only use this file to register your
-strategies, portfolio configurations and market data sources. Its also
-not recommended to add any logic to this file because the framework will use this file to run your application.</p><p>The <code>strategies</code> directory is where you can add your trading strategies. You can create multiple files in this directory
-and add your trading strategies to them. The framework will use this directory to save and link your
-trading strategies to your backtest runs. This allows you to easily run multiple backtests with different trading strategies
-and bundle them with your backtest results. </p><p>By default the REST API and UI are disabled. You can enable them by running the init command with the <code>--web</code> flag:</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="️-enabling-rest-api-and-ui">🖥️ Enabling REST API and UI<a href="#️-enabling-rest-api-and-ui" class="hash-link" aria-label="Direct link to 🖥️ Enabling REST API and UI" title="Direct link to 🖥️ Enabling REST API and UI">​</a></h3><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">investing-algorithm-framework init --web</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>You can also use the <code>create_app</code> function to create a web enabled app instance programmatically. This
-is useful if you want to create an app instance in your own code or if you want to extend the app with custom configurations.</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> logging</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">config</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> dotenv </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> load_dotenv</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> create_app</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> DEFAULT_LOGGING_CONFIG</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">load_dotenv</span><span class="token punctuation" style="color:#393A34">(</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">logging</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">config</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">dictConfig</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">DEFAULT_LOGGING_CONFIG</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> create_app</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    web</span><span class="token operator" style="color:#393A34">=</span><span class="token boolean" style="color:#36acaa">True</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain">  </span><span class="token comment" style="color:#999988;font-style:italic"># Enable the REST API and UI</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token comment" style="color:#999988;font-style:italic"># Register your trading strategies here</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">.</span><span class="token punctuation" style="color:#393A34">.</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token comment" style="color:#999988;font-style:italic"># Register your market data sources here</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">.</span><span class="token punctuation" style="color:#393A34">.</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token comment" style="color:#999988;font-style:italic"># Register your portfolio configurations here</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">.</span><span class="token punctuation" style="color:#393A34">.</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token comment" style="color:#999988;font-style:italic"># Run the app</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">if</span><span class="token plain"> __name__ </span><span class="token operator" style="color:#393A34">==</span><span class="token plain"> </span><span class="token string" style="color:#e3116c">&quot;__main__&quot;</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">run</span><span class="token punctuation" style="color:#393A34">(</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="azure-function-app-initialization">Azure Function App Initialization<a href="#azure-function-app-initialization" class="hash-link" aria-label="Direct link to Azure Function App Initialization" title="Direct link to Azure Function App Initialization">​</a></h3><p>If you want to create an Azure Function app, you can use the <code>--type azure_function</code> option:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">investing-algorithm-framework init --type azure_function --path ./my-azure-function-app --replace</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>This will create a directory structure suitable for deploying your trading bot as an Azure Function, including necessary files like <code>function_app.py</code>, <code>local.settings.json</code>, and <code>function.json</code>.</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token builtin class-name">.</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── README.md</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── app.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── requirements.txt</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── .env.example</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── run_backtest.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── strategies/</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── function_app.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── local.settings.json</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── function.json</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">│   └── strategy_v1/</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">│       ├── __init__.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">│       └── strategy.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">└── .gitignore</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>In order to run the app, you need to install the required dependencies. You can do this by running the following command:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">pip </span><span class="token function" style="color:#d73a49">install</span><span class="token plain"> -r requirements.txt</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>And the azure functools</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">pip </span><span class="token function" style="color:#d73a49">install</span><span class="token plain"> azure-functions</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="️-using-the-create_app-function">🏗️ Using the <code>create_app</code> Function<a href="#️-using-the-create_app-function" class="hash-link" aria-label="Direct link to ️-using-the-create_app-function" title="Direct link to ️-using-the-create_app-function">​</a></h2><h3 class="anchor anchorWithStickyNavbar_LWe7" id="description">Description<a href="#description" class="hash-link" aria-label="Direct link to Description" title="Direct link to Description">​</a></h3><p>The <code>create_app</code> function is a factory method for creating and configuring an <code>App</code> instance. It loads environment variables, sets up the dependency container, and optionally initializes a web-based configuration.
-This function is usefull if you want to create an app programmatically or if you want to extend the app with custom configurations.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="function-signature">Function Signature<a href="#function-signature" class="hash-link" aria-label="Direct link to Function Signature" title="Direct link to Function Signature">​</a></h3><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">create_app</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    config</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> </span><span class="token builtin">dict</span><span class="token plain"> </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> </span><span class="token boolean" style="color:#36acaa">None</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    state_handler</span><span class="token operator" style="color:#393A34">=</span><span class="token boolean" style="color:#36acaa">None</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    web</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> </span><span class="token builtin">bool</span><span class="token plain"> </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> </span><span class="token boolean" style="color:#36acaa">False</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    name</span><span class="token operator" style="color:#393A34">=</span><span class="token boolean" style="color:#36acaa">None</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"> </span><span class="token operator" style="color:#393A34">-</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token plain"> App</span><span class="token punctuation" style="color:#393A34">:</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td><code>config</code></td><td><code>dict</code></td><td>Optional dictionary containing app configuration.</td></tr><tr><td><code>state_handler</code></td><td><code>object</code></td><td>Optional custom state handler for managing internal state.</td></tr><tr><td><code>web</code></td><td><code>bool</code></td><td>Whether to configure the app for web use (<code>AppMode.WEB</code>).</td></tr><tr><td><code>name</code></td><td><code>str</code></td><td>Optional name to assign to the application instance.</td></tr></tbody></table><h3 class="anchor anchorWithStickyNavbar_LWe7" id="returns">Returns<a href="#returns" class="hash-link" aria-label="Direct link to Returns" title="Direct link to Returns">​</a></h3><p>Returns an instance of the App class, fully initialized and ready to run or extend.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="example">Example<a href="#example" class="hash-link" aria-label="Direct link to Example" title="Direct link to Example">​</a></h3><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> create_app</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> create_app</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    config</span><span class="token operator" style="color:#393A34">=</span><span class="token punctuation" style="color:#393A34">{</span><span class="token string" style="color:#e3116c">&quot;MY_CONFIG&quot;</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> </span><span class="token string" style="color:#e3116c">&quot;value&quot;</span><span class="token punctuation" style="color:#393A34">}</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    web</span><span class="token operator" style="color:#393A34">=</span><span class="token boolean" style="color:#36acaa">True</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    name</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;my_trading_bot&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/investing-algorithm-framework/Getting Started/installation"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Installation</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/investing-algorithm-framework/Getting Started/portfolio-configuration"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Portfolio Configuration</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#-application-setup-through-cli-command-line-interface" class="table-of-contents__link toc-highlight">🔧 Application Setup through CLI: Command Line Interface</a><ul><li><a href="#️-init-command" class="table-of-contents__link toc-highlight">⚙️ init Command</a></li><li><a href="#️-enabling-rest-api-and-ui" class="table-of-contents__link toc-highlight">🖥️ Enabling REST API and UI</a></li><li><a href="#azure-function-app-initialization" class="table-of-contents__link toc-highlight">Azure Function App Initialization</a></li></ul></li><li><a href="#️-using-the-create_app-function" class="table-of-contents__link toc-highlight">🏗️ Using the <code>create_app</code> Function</a><ul><li><a href="#description" class="table-of-contents__link toc-highlight">Description</a></li><li><a href="#function-signature" class="table-of-contents__link toc-highlight">Function Signature</a></li><li><a href="#returns" class="table-of-contents__link toc-highlight">Returns</a></li><li><a href="#example" class="table-of-contents__link toc-highlight">Example</a></li></ul></li></ul></div></div></div></div></main></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/investing-algorithm-framework/intro">Tutorial</a></li></ul></div><div class="col footer__col"><div 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class="breadcrumbs__link">Getting Started</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Backtesting</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><h1>Backtesting</h1><p>Backtesting is the process of testing a trading strategy on historical data to see how it would have performed in the past.
-You can easily run backtests with the framework for various timeframes and data sources.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="running-a-backtest">Running a backtest<a href="#running-a-backtest" class="hash-link" aria-label="Direct link to Running a backtest" title="Direct link to Running a backtest">​</a></h2><p>When you have created a trading strategy you can easily run a backtest in the following ways:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> logging</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">config</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> datetime </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> datetime</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> timedelta</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> </span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    CCXTOHLCVMarketDataSource</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> CCXTTickerMarketDataSource</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> PortfolioConfiguration</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> create_app</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> pretty_print_backtest</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> BacktestDateRange</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> TimeUnit</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> TradingStrategy</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> OrderSide</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> DEFAULT_LOGGING_CONFIG</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Context</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">logging</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">config</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">dictConfig</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">DEFAULT_LOGGING_CONFIG</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">bitvavo_btc_eur_ohlcv_2h </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> CCXTOHLCVMarketDataSource</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    identifier</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BTC/EUR-ohlcv-2h&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    market</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BINANCE&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BTC/EUR&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    time_frame</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;2h&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    window_size</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">200</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">class</span><span class="token plain"> </span><span class="token class-name">ExampleStrategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">TradingStrategy</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    time_unit </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">HOUR</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    interval </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> </span><span class="token number" style="color:#36acaa">2</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    market_data_sources </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> </span><span class="token punctuation" style="color:#393A34">[</span><span class="token plain">bitvavo_btc_eur_ohlcv_2h</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> bitvavo_btc_eur_ticker</span><span class="token punctuation" style="color:#393A34">]</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">apply_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">self</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> context</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Context</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        </span><span class="token keyword" style="color:#00009f">print</span><span class="token punctuation" style="color:#393A34">(</span><span class="token string" style="color:#e3116c">&quot;Running strategy&quot;</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> create_app</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">name</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;Example strategy&quot;</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">add_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">CrossOverStrategy</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token comment" style="color:#999988;font-style:italic"># Add a portfolio configuration of 400 euro initial balance</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">add_portfolio_configuration</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    PortfolioConfiguration</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        market</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BINANCE&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> trading_symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;EUR&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> initial_balance</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">400</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">if</span><span class="token plain"> __name__ </span><span class="token operator" style="color:#393A34">==</span><span class="token plain"> </span><span class="token string" style="color:#e3116c">&quot;__main__&quot;</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    end_date </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> datetime</span><span class="token punctuation" style="color:#393A34">(</span><span class="token number" style="color:#36acaa">2023</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token number" style="color:#36acaa">12</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token number" style="color:#36acaa">2</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    start_date </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> end_date </span><span class="token operator" style="color:#393A34">-</span><span class="token plain"> timedelta</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">days</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">100</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    date_range </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> BacktestDateRange</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        start_date</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">start_date</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        end_date</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">end_date</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    backtest_report </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">run_backtest</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        backtest_date_range</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">date_range</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> save_in_memory_strategies</span><span class="token operator" style="color:#393A34">=</span><span class="token boolean" style="color:#36acaa">True</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="showing-the-backtest-results">Showing the backtest results<a href="#showing-the-backtest-results" class="hash-link" aria-label="Direct link to Showing the backtest results" title="Direct link to Showing the backtest results">​</a></h3><p>You can show the backtest results by using the <code>pretty_print_backtest</code> function. This will show you the backtest report in a nice format.</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">report </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">run_backtest</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    backtest_date_range</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">date_range</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> save_in_memory_strategies</span><span class="token operator" style="color:#393A34">=</span><span class="token boolean" style="color:#36acaa">True</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">pretty_print_backtest</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">report</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="loading-old-backtest-reports">Loading old backtest reports<a href="#loading-old-backtest-reports" class="hash-link" aria-label="Direct link to Loading old backtest reports" title="Direct link to Loading old backtest reports">​</a></h3><p>You can load old backtest reports by using the <code>load_backtest_report</code> function. This will load the backtest
-report from the file system.</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> load_backtest_reports</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">reports </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> load_backtest_reports</span><span class="token punctuation" style="color:#393A34">(</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">path_to_backtest_reports_directory</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="evaluating-backtest-reports">Evaluating backtest reports<a href="#evaluating-backtest-reports" class="hash-link" aria-label="Direct link to Evaluating backtest reports" title="Direct link to Evaluating backtest reports">​</a></h3><p>You can evaluate backtest reports by using the <code>BacktestReportsEvaluation</code> class. This will evaluate the backtest</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> BacktestReportsEvaluation</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> \</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    pretty_print_backtest_reports_evaluation</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> load_backtest_reports</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">reports </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> load_backtest_reports</span><span class="token punctuation" style="color:#393A34">(</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">path_to_backtest_reports_directory</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">evaluation </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> BacktestReportsEvaluation</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">reports</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">pretty_print_backtest_reports_evaluation</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">evaluation</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="saving-the-strategy">Saving the strategy<a href="#saving-the-strategy" class="hash-link" aria-label="Direct link to Saving the strategy" title="Direct link to Saving the strategy">​</a></h3><p>During the backtest, the framework will not automatically save the strategy. You can save the strategy
-by using the <code>save_strategy</code> parameter of the <code>run_backtest</code> function. By default, it will save all the strategies
-that are in the <code>strategies</code> directory. If the directory where there strategies are located has a different name, you
-can specify the directory name by using the <code>strategy_directory</code> parameter of the <code>run_backtest</code> function.</p><blockquote><p>The save_strategy parameter by default expects that you have the following directory structure:</p><div class="language-yaml codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-yaml codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">.</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── app.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── requirements.txt</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── strategies</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">│   ├── data_providers.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">│   └── strategy.py</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── .gitignore</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">├── .env.example</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">└── README.md</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></blockquote><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">backtest_report </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">run_backtest</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">backtest_date_range</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">date_range</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> save_strategy</span><span class="token operator" style="color:#393A34">=</span><span class="token boolean" style="color:#36acaa">True</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>Use the <code>strategy_directory</code> parameter to specify the directory where the strategies are located.</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">backtest_report </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">run_backtest</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    backtest_date_range</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">date_range</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> save_strategy</span><span class="token operator" style="color:#393A34">=</span><span class="token boolean" style="color:#36acaa">True</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> strategy_directory</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;my_strategies&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>If you want to directly save the loaded-in strategies, you can use the <code>save_in_memory_strategies</code> parameter of the <code>run_backtest</code> function. This will save the strategies
-that are loaded in memory. This is useful if you&#x27;re running a backtest in a jupyter notebook where the strategy is defined in a code cell.</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">backtest_report </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">run_backtest</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    backtest_date_range</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">date_range</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> save_strategy</span><span class="token operator" style="color:#393A34">=</span><span class="token boolean" style="color:#36acaa">True</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> save_in_memory_strategies</span><span class="token operator" style="color:#393A34">=</span><span class="token boolean" style="color:#36acaa">True</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/investing-algorithm-framework/Getting Started/tasks"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Tasks</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/investing-algorithm-framework/Getting Started/deployment"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Deployment</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#running-a-backtest" class="table-of-contents__link toc-highlight">Running a backtest</a><ul><li><a href="#showing-the-backtest-results" class="table-of-contents__link toc-highlight">Showing the backtest results</a></li><li><a href="#loading-old-backtest-reports" class="table-of-contents__link toc-highlight">Loading old backtest reports</a></li><li><a href="#evaluating-backtest-reports" class="table-of-contents__link toc-highlight">Evaluating backtest reports</a></li><li><a href="#saving-the-strategy" class="table-of-contents__link toc-highlight">Saving the strategy</a></li></ul></li></ul></div></div></div></div></main></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" 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Built by Coding Kitties</div></div></div></footer></div>
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diff --git a/docusaurus/docs/Getting Started/deployment.md b/docusaurus/docs/Getting Started/deployment.md
new file mode 100644
index 00000000..d7674061
--- /dev/null
+++ b/docusaurus/docs/Getting Started/deployment.md	
@@ -0,0 +1,520 @@
+---
+sidebar_position: 10
+---
+
+# Deployment
+
+Learn how to deploy your trading algorithms to production environments.
+
+## Overview
+
+Deploying trading algorithms requires careful consideration of infrastructure, security, monitoring, and risk management. This guide covers best practices for moving from development to production.
+
+## Deployment Options
+
+### 1. Local Deployment
+
+Run your algorithm on a local machine or server:
+
+```python
+from investing_algorithm_framework import create_app
+
+# Create production app
+app = create_app(config_file="production.yaml")
+
+# Start the algorithm
+if __name__ == "__main__":
+    app.start_trading()
+```
+
+**Pros:**
+- Full control over environment
+- Lower latency to exchanges
+- Cost-effective for smaller operations
+
+**Cons:**
+- Single point of failure
+- Requires manual monitoring
+- Infrastructure management overhead
+
+### 2. Cloud Deployment
+
+Deploy to cloud platforms like AWS, Google Cloud, or Azure:
+
+```dockerfile
+# Dockerfile
+FROM python:3.9-slim
+
+WORKDIR /app
+
+# Copy requirements and install dependencies
+COPY requirements.txt .
+RUN pip install -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Run the trading algorithm
+CMD ["python", "main.py"]
+```
+
+**Pros:**
+- High availability and scalability
+- Managed infrastructure
+- Built-in monitoring and logging
+
+**Cons:**
+- Higher costs
+- Potential latency issues
+- Vendor lock-in
+
+### 3. VPS Deployment
+
+Use a Virtual Private Server for dedicated resources:
+
+```bash
+# Example deployment script
+#!/bin/bash
+
+# Update system
+sudo apt update && sudo apt upgrade -y
+
+# Install Python and dependencies
+sudo apt install python3 python3-pip git -y
+
+# Clone your trading bot
+git clone https://github.com/yourusername/your-trading-bot.git
+cd your-trading-bot
+
+# Install dependencies
+pip3 install -r requirements.txt
+
+# Create systemd service
+sudo systemctl enable trading-bot
+sudo systemctl start trading-bot
+```
+
+## Production Configuration
+
+### Environment Configuration
+
+Create separate configuration files for different environments:
+
+```yaml
+# production.yaml
+environment: production
+debug: false
+
+database:
+  uri: "postgresql://user:pass@host:5432/trading_prod"
+  
+exchanges:
+  binance:
+    api_key: "${BINANCE_API_KEY}"
+    api_secret: "${BINANCE_API_SECRET}"
+    sandbox: false
+
+portfolio:
+  initial_balance: 10000
+  risk_per_trade: 0.02
+  max_drawdown: 0.15
+
+logging:
+  level: INFO
+  file: "/var/log/trading-bot/app.log"
+```
+
+```yaml
+# staging.yaml
+environment: staging
+debug: true
+
+database:
+  uri: "sqlite:///staging.db"
+  
+exchanges:
+  binance:
+    api_key: "${BINANCE_TESTNET_KEY}"
+    api_secret: "${BINANCE_TESTNET_SECRET}"
+    sandbox: true
+
+portfolio:
+  initial_balance: 1000
+  risk_per_trade: 0.05
+  max_drawdown: 0.20
+
+logging:
+  level: DEBUG
+  file: "staging.log"
+```
+
+### Environment Variables
+
+Use environment variables for sensitive information:
+
+```python
+import os
+from investing_algorithm_framework import create_app
+
+# Load configuration from environment
+config = {
+    "database_uri": os.getenv("DATABASE_URI"),
+    "api_key": os.getenv("EXCHANGE_API_KEY"),
+    "api_secret": os.getenv("EXCHANGE_API_SECRET"),
+    "webhook_url": os.getenv("WEBHOOK_URL"),
+}
+
+app = create_app(config=config)
+```
+
+```bash
+# .env file (never commit to git)
+DATABASE_URI=postgresql://user:pass@localhost:5432/trading
+EXCHANGE_API_KEY=your_api_key_here
+EXCHANGE_API_SECRET=your_api_secret_here
+WEBHOOK_URL=https://hooks.slack.com/your_webhook
+```
+
+## Security Best Practices
+
+### API Key Management
+
+```python
+from cryptography.fernet import Fernet
+
+class SecureConfig:
+    def __init__(self):
+        self.encryption_key = os.getenv("ENCRYPTION_KEY")
+        self.cipher = Fernet(self.encryption_key)
+    
+    def decrypt_api_key(self, encrypted_key):
+        return self.cipher.decrypt(encrypted_key.encode()).decode()
+    
+    def get_exchange_credentials(self):
+        return {
+            "api_key": self.decrypt_api_key(os.getenv("ENCRYPTED_API_KEY")),
+            "api_secret": self.decrypt_api_key(os.getenv("ENCRYPTED_API_SECRET"))
+        }
+```
+
+### Network Security
+
+```python
+# Use HTTPS and verify SSL certificates
+import requests
+import ssl
+
+# Verify SSL certificates
+ssl_context = ssl.create_default_context()
+ssl_context.check_hostname = True
+ssl_context.verify_mode = ssl.CERT_REQUIRED
+
+# Configure exchange with security settings
+exchange_config = {
+    "enableRateLimit": True,
+    "timeout": 30000,
+    "ssl_verify": True,
+    "requests_session": requests.Session()
+}
+```
+
+## Monitoring and Alerting
+
+### Health Checks
+
+```python
+from flask import Flask, jsonify
+import threading
+
+class HealthMonitor:
+    def __init__(self, app):
+        self.app = app
+        self.is_healthy = True
+        self.last_heartbeat = datetime.now()
+        
+    def start_health_endpoint(self):
+        """Start health check endpoint"""
+        health_app = Flask(__name__)
+        
+        @health_app.route("/health")
+        def health_check():
+            return jsonify({
+                "status": "healthy" if self.is_healthy else "unhealthy",
+                "last_heartbeat": self.last_heartbeat.isoformat(),
+                "uptime": (datetime.now() - self.app.start_time).total_seconds()
+            })
+        
+        health_app.run(host="0.0.0.0", port=8080)
+        
+    def heartbeat(self):
+        """Update heartbeat timestamp"""
+        self.last_heartbeat = datetime.now()
+```
+
+### Logging Configuration
+
+```python
+import logging
+import logging.handlers
+
+def setup_production_logging():
+    """Configure logging for production"""
+    
+    # Create logger
+    logger = logging.getLogger("trading_bot")
+    logger.setLevel(logging.INFO)
+    
+    # File handler with rotation
+    file_handler = logging.handlers.RotatingFileHandler(
+        "/var/log/trading-bot/app.log",
+        maxBytes=10*1024*1024,  # 10MB
+        backupCount=5
+    )
+    
+    # Console handler
+    console_handler = logging.StreamHandler()
+    
+    # Formatter
+    formatter = logging.Formatter(
+        "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+    )
+    
+    file_handler.setFormatter(formatter)
+    console_handler.setFormatter(formatter)
+    
+    logger.addHandler(file_handler)
+    logger.addHandler(console_handler)
+    
+    return logger
+```
+
+### Alerting System
+
+```python
+import requests
+import smtplib
+from email.mime.text import MIMEText
+
+class AlertManager:
+    def __init__(self, slack_webhook=None, email_config=None):
+        self.slack_webhook = slack_webhook
+        self.email_config = email_config
+    
+    def send_alert(self, message, severity="INFO"):
+        """Send alert via multiple channels"""
+        
+        if severity == "CRITICAL":
+            self.send_slack_alert(f"🚨 CRITICAL: {message}")
+            self.send_email_alert(f"CRITICAL ALERT: {message}")
+        elif severity == "WARNING":
+            self.send_slack_alert(f"⚠️ WARNING: {message}")
+        else:
+            self.send_slack_alert(f"ℹ️ INFO: {message}")
+    
+    def send_slack_alert(self, message):
+        if self.slack_webhook:
+            payload = {"text": message}
+            requests.post(self.slack_webhook, json=payload)
+    
+    def send_email_alert(self, message):
+        if self.email_config:
+            msg = MIMEText(message)
+            msg['Subject'] = "Trading Bot Alert"
+            msg['From'] = self.email_config['from']
+            msg['To'] = self.email_config['to']
+            
+            # Send email logic here
+```
+
+## Performance Optimization
+
+### Database Optimization
+
+```python
+from sqlalchemy import create_engine
+from sqlalchemy.pool import QueuePool
+
+# Optimized database connection
+engine = create_engine(
+    database_uri,
+    poolclass=QueuePool,
+    pool_size=20,
+    max_overflow=30,
+    pool_pre_ping=True,
+    pool_recycle=3600
+)
+```
+
+### Caching Strategy
+
+```python
+import redis
+from functools import wraps
+
+class CacheManager:
+    def __init__(self, redis_url):
+        self.redis_client = redis.from_url(redis_url)
+    
+    def cache_market_data(self, symbol, timeframe, ttl=60):
+        """Cache market data with TTL"""
+        def decorator(func):
+            @wraps(func)
+            def wrapper(*args, **kwargs):
+                cache_key = f"market_data:{symbol}:{timeframe}"
+                
+                # Try to get from cache
+                cached_data = self.redis_client.get(cache_key)
+                if cached_data:
+                    return json.loads(cached_data)
+                
+                # Get fresh data and cache it
+                data = func(*args, **kwargs)
+                self.redis_client.setex(
+                    cache_key, 
+                    ttl, 
+                    json.dumps(data, default=str)
+                )
+                return data
+            return wrapper
+        return decorator
+```
+
+## Disaster Recovery
+
+### Backup Strategy
+
+```python
+import shutil
+import os
+from datetime import datetime
+
+class BackupManager:
+    def __init__(self, backup_dir="/backups"):
+        self.backup_dir = backup_dir
+        os.makedirs(backup_dir, exist_ok=True)
+    
+    def backup_database(self, db_path):
+        """Backup database"""
+        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+        backup_path = f"{self.backup_dir}/db_backup_{timestamp}.db"
+        shutil.copy2(db_path, backup_path)
+        return backup_path
+    
+    def backup_logs(self, log_dir):
+        """Backup logs"""
+        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+        backup_path = f"{self.backup_dir}/logs_backup_{timestamp}"
+        shutil.copytree(log_dir, backup_path)
+        return backup_path
+```
+
+### Recovery Procedures
+
+```python
+class RecoveryManager:
+    def __init__(self, app):
+        self.app = app
+    
+    def graceful_shutdown(self):
+        """Gracefully shutdown the application"""
+        
+        # Cancel all open orders
+        self.app.cancel_all_orders()
+        
+        # Save state
+        self.app.save_state()
+        
+        # Close database connections
+        self.app.close_database()
+        
+        print("Application shutdown complete")
+    
+    def emergency_stop(self):
+        """Emergency stop with position closure"""
+        
+        # Close all positions immediately
+        positions = self.app.get_positions()
+        for position in positions:
+            self.app.create_sell_order(
+                target_symbol=position.symbol.split('/')[0],
+                percentage=1.0,
+                order_type="MARKET"
+            )
+        
+        # Cancel all orders
+        self.app.cancel_all_orders()
+        
+        print("Emergency stop executed")
+```
+
+## Deployment Checklist
+
+### Pre-Deployment
+
+- [ ] **Strategy Testing**: Thorough backtesting and forward testing
+- [ ] **Security Review**: API keys, encryption, network security
+- [ ] **Configuration**: Production config files and environment variables
+- [ ] **Monitoring**: Logging, health checks, and alerting setup
+- [ ] **Backup**: Database and log backup procedures
+- [ ] **Documentation**: Deployment and recovery procedures
+
+### Post-Deployment
+
+- [ ] **Health Verification**: Confirm all systems are operational
+- [ ] **Monitor Initial Trades**: Watch first few trades closely
+- [ ] **Performance Baseline**: Establish performance metrics
+- [ ] **Alert Testing**: Verify alerting systems work
+- [ ] **Backup Testing**: Test backup and recovery procedures
+
+## Scaling Considerations
+
+### Horizontal Scaling
+
+```python
+# Multi-instance deployment with Redis coordination
+class CoordinatedStrategy(TradingStrategy):
+    def __init__(self, instance_id, redis_client):
+        super().__init__()
+        self.instance_id = instance_id
+        self.redis_client = redis_client
+    
+    def apply_strategy(self, algorithm, market_data):
+        # Use distributed locking
+        lock_key = f"strategy_lock:{symbol}"
+        
+        with self.redis_client.lock(lock_key, timeout=10):
+            # Strategy logic here
+            pass
+```
+
+### Vertical Scaling
+
+```python
+# Resource optimization
+import psutil
+import gc
+
+class ResourceManager:
+    def monitor_resources(self):
+        """Monitor system resources"""
+        cpu_percent = psutil.cpu_percent()
+        memory_percent = psutil.virtual_memory().percent
+        
+        if cpu_percent > 80:
+            print(f"High CPU usage: {cpu_percent}%")
+            
+        if memory_percent > 80:
+            print(f"High memory usage: {memory_percent}%")
+            gc.collect()  # Force garbage collection
+```
+
+## Next Steps
+
+With your algorithm deployed, focus on:
+
+1. **Continuous Monitoring**: Watch performance and system health
+2. **Regular Updates**: Update strategies based on market conditions
+3. **Risk Management**: Monitor and adjust risk parameters
+4. **Performance Analysis**: Regular strategy performance reviews
+
+Your trading algorithm is now ready for production! Remember to start with small position sizes and gradually scale up as you gain confidence in your deployment.
diff --git a/docusaurus/docs/Getting Started/deployment/index.html b/docusaurus/docs/Getting Started/deployment/index.html
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+---
+sidebar_position: 1
+---
+
+# Installation
+
+Get started with the Investing Algorithm Framework by following these simple installation steps.
+
+## Prerequisites
+
+Before installing the framework, ensure you have:
+
+- **Python 3.10+** installed on your system
+- **pip** (Python package installer)
+- **git** (for cloning repositories)
+
+## Installation Options
+
+### Option 1: Install from PyPI (Recommended)
+
+Install the latest stable version from PyPI:
+
+```bash
+pip install investing-algorithm-framework
+```
+
+### Option 2: Install from Source
+
+For the latest development version, install directly from GitHub:
+
+```bash
+pip install git+https://github.com/coding-kitties/investing-algorithm-framework.git
+```
+
+### Option 3: Development Installation
+
+If you plan to contribute to the framework:
+
+1. **Clone the repository:**
+   ```bash
+   git clone https://github.com/coding-kitties/investing-algorithm-framework.git
+   cd investing-algorithm-framework
+   ```
+
+2. **Install in development mode:**
+   ```bash
+   pip install -e .
+   ```
+
+## Next Steps
+
+Once installation is complete, proceed to [Application Setup](application-setup) to create your first trading application!
diff --git a/docusaurus/docs/Getting Started/installation/index.html b/docusaurus/docs/Getting Started/installation/index.html
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itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Installation</span><meta itemprop="position" content="2"></li></ul></nav><div class="theme-doc-markdown markdown"><h1>Installation</h1><p>You can install the framework using the following command:</p><div class="theme-admonition theme-admonition-info alert alert--info admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_S0QG"><p>Python 3.10 or higher is required.</p></div></div><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">pip </span><span class="token function" style="color:#d73a49">install</span><span class="token plain"> investing-algorithm-framework</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" 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diff --git a/docusaurus/docs/Getting Started/orders.md b/docusaurus/docs/Getting Started/orders.md
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+---
+sidebar_position: 5
+---
+
+# Orders
+
+Learn how to create and manage trading orders with the Investing Algorithm Framework.
+
+## Overview
+
+Orders are instructions to buy or sell assets in the market. The framework provides a comprehensive order management system that supports various order types, execution strategies, and order lifecycle management.
+
+## Order Types
+
+### Market Orders
+
+Execute immediately at the current market price:
+
+```python
+# Buy order - spend 100 USDT to buy BTC
+algorithm.create_buy_order(
+    target_symbol="BTC",
+    amount=100,  # Amount in trading symbol (USDT)
+    order_type="MARKET"
+)
+
+# Sell order - sell 50% of BTC holdings  
+algorithm.create_sell_order(
+    target_symbol="BTC",
+    percentage=0.5,  # Sell 50% of holdings
+    order_type="MARKET"
+)
+```
+
+### Limit Orders
+
+Execute only at a specified price or better:
+
+```python
+# Buy limit order
+algorithm.create_buy_order(
+    target_symbol="BTC",
+    amount=100,
+    order_type="LIMIT",
+    price=50000  # Only buy if BTC price is 50,000 USDT or lower
+)
+
+# Sell limit order
+algorithm.create_sell_order(
+    target_symbol="BTC", 
+    percentage=1.0,
+    order_type="LIMIT",
+    price=55000  # Only sell if BTC price is 55,000 USDT or higher
+)
+```
+
+### Stop Orders
+
+Trigger market orders when price reaches a specified level:
+
+```python
+# Stop loss - sell if price drops to 45,000
+algorithm.create_sell_order(
+    target_symbol="BTC",
+    percentage=1.0,
+    order_type="STOP",
+    stop_price=45000
+)
+
+# Buy stop - buy if price rises to 52,000 (breakout strategy)
+algorithm.create_buy_order(
+    target_symbol="BTC",
+    amount=100,
+    order_type="STOP", 
+    stop_price=52000
+)
+```
+
+### Stop-Limit Orders
+
+Combine stop and limit order features:
+
+```python
+# Stop-limit sell order
+algorithm.create_sell_order(
+    target_symbol="BTC",
+    percentage=1.0,
+    order_type="STOP_LIMIT",
+    stop_price=45000,  # Trigger when price hits 45,000
+    price=44500        # But only sell at 44,500 or better
+)
+```
+
+## Order Parameters
+
+### Common Parameters
+
+- **target_symbol**: The asset to buy/sell (e.g., "BTC", "ETH")
+- **amount**: Amount to spend (for buy orders) in trading symbol
+- **percentage**: Percentage of holdings to sell (for sell orders)
+- **order_type**: Type of order ("MARKET", "LIMIT", "STOP", "STOP_LIMIT")
+- **price**: Limit price (for limit and stop-limit orders)
+- **stop_price**: Stop price (for stop and stop-limit orders)
+
+### Advanced Parameters
+
+```python
+# Order with advanced parameters
+algorithm.create_buy_order(
+    target_symbol="BTC",
+    amount=100,
+    order_type="LIMIT",
+    price=50000,
+    # Advanced parameters
+    time_in_force="GTC",  # Good Till Cancelled
+    reduce_only=False,    # Allow position increase
+    post_only=True       # Only maker orders (some exchanges)
+)
+```
+
+## Order Management
+
+### Checking Order Status
+
+```python
+def apply_strategy(self, algorithm, market_data):
+    # Get all orders
+    orders = algorithm.get_orders()
+    
+    # Filter by status
+    pending_orders = [order for order in orders if order.status == "OPEN"]
+    filled_orders = [order for order in orders if order.status == "FILLED"]
+    
+    # Check specific order
+    for order in pending_orders:
+        print(f"Order {order.id}: {order.order_type} {order.target_symbol} - {order.status}")
+```
+
+### Canceling Orders
+
+```python
+def apply_strategy(self, algorithm, market_data):
+    # Cancel specific order
+    orders = algorithm.get_orders()
+    for order in orders:
+        if order.status == "OPEN" and order.created_at < some_time_threshold:
+            algorithm.cancel_order(order.id)
+    
+    # Cancel all open orders for a symbol
+    algorithm.cancel_all_orders(symbol="BTC/USDT")
+```
+
+### Modifying Orders
+
+```python
+def apply_strategy(self, algorithm, market_data):
+    orders = algorithm.get_orders()
+    
+    for order in orders:
+        if order.status == "OPEN" and order.order_type == "LIMIT":
+            # Update order price
+            algorithm.update_order(
+                order_id=order.id,
+                price=new_price,
+                amount=new_amount
+            )
+```
+
+## Order Execution Examples
+
+### Dollar-Cost Averaging
+
+```python
+class DCAStrategy(TradingStrategy):
+    
+    def __init__(self, buy_amount=100):
+        super().__init__()
+        self.buy_amount = buy_amount
+        
+    def apply_strategy(self, algorithm, market_data):
+        # Buy fixed amount regardless of price
+        algorithm.create_buy_order(
+            target_symbol="BTC",
+            amount=self.buy_amount,
+            order_type="MARKET"
+        )
+```
+
+### Grid Trading
+
+```python
+class GridStrategy(TradingStrategy):
+    
+    def __init__(self, grid_levels=5, grid_spacing=0.02):
+        super().__init__()
+        self.grid_levels = grid_levels
+        self.grid_spacing = grid_spacing
+        
+    def apply_strategy(self, algorithm, market_data):
+        symbol = "BTC/USDT"
+        current_price = market_data.get_last_price(symbol)
+        
+        # Cancel existing orders
+        algorithm.cancel_all_orders(symbol)
+        
+        # Place buy orders below current price
+        for i in range(1, self.grid_levels + 1):
+            buy_price = current_price * (1 - self.grid_spacing * i)
+            algorithm.create_buy_order(
+                target_symbol="BTC",
+                amount=100,
+                order_type="LIMIT",
+                price=buy_price
+            )
+            
+        # Place sell orders above current price  
+        positions = algorithm.get_positions()
+        btc_position = next((p for p in positions if p.symbol == "BTC/USDT"), None)
+        
+        if btc_position and btc_position.amount > 0:
+            sell_amount_per_level = btc_position.amount / self.grid_levels
+            
+            for i in range(1, self.grid_levels + 1):
+                sell_price = current_price * (1 + self.grid_spacing * i)
+                algorithm.create_sell_order(
+                    target_symbol="BTC",
+                    amount=sell_amount_per_level,
+                    order_type="LIMIT", 
+                    price=sell_price
+                )
+```
+
+### Trailing Stop
+
+```python
+class TrailingStopStrategy(TradingStrategy):
+    
+    def __init__(self, trailing_percent=0.05):
+        super().__init__()
+        self.trailing_percent = trailing_percent
+        self.highest_price = None
+        
+    def apply_strategy(self, algorithm, market_data):
+        symbol = "BTC/USDT"
+        current_price = market_data.get_last_price(symbol)
+        
+        # Update highest price
+        if self.highest_price is None or current_price > self.highest_price:
+            self.highest_price = current_price
+            
+        # Check if we have a position
+        positions = algorithm.get_positions()
+        btc_position = next((p for p in positions if p.symbol == symbol), None)
+        
+        if btc_position and btc_position.amount > 0:
+            # Calculate trailing stop price
+            stop_price = self.highest_price * (1 - self.trailing_percent)
+            
+            if current_price <= stop_price:
+                # Trigger trailing stop
+                algorithm.create_sell_order(
+                    target_symbol="BTC",
+                    percentage=1.0,
+                    order_type="MARKET"
+                )
+                self.highest_price = None  # Reset for next position
+```
+
+## Order Validation
+
+The framework includes built-in order validation:
+
+### Balance Checks
+
+```python
+# Framework automatically checks if you have sufficient balance
+try:
+    algorithm.create_buy_order(
+        target_symbol="BTC",
+        amount=10000,  # This might exceed available balance
+        order_type="MARKET"
+    )
+except InsufficientBalanceError as e:
+    print(f"Order failed: {e}")
+```
+
+### Position Checks
+
+```python
+# Framework checks if you have enough holdings to sell
+try:
+    algorithm.create_sell_order(
+        target_symbol="BTC", 
+        percentage=1.5,  # Cannot sell more than 100%
+        order_type="MARKET"
+    )
+except InsufficientHoldingsError as e:
+    print(f"Order failed: {e}")
+```
+
+## Best Practices
+
+### 1. Use Appropriate Order Types
+
+- **Market orders**: For immediate execution when timing is critical
+- **Limit orders**: For better price control and reduced slippage
+- **Stop orders**: For risk management and breakout strategies
+
+### 2. Monitor Order Status
+
+Always check if your orders are being filled as expected:
+
+```python
+def check_order_health(self, algorithm):
+    orders = algorithm.get_orders()
+    
+    # Check for old unfilled orders
+    current_time = datetime.now()
+    for order in orders:
+        if order.status == "OPEN":
+            age = current_time - order.created_at
+            if age.total_seconds() > 3600:  # 1 hour
+                print(f"Warning: Order {order.id} has been open for {age}")
+```
+
+### 3. Handle Partial Fills
+
+```python
+def handle_partial_fills(self, algorithm):
+    orders = algorithm.get_orders()
+    
+    for order in orders:
+        if order.status == "PARTIALLY_FILLED":
+            fill_ratio = order.filled_amount / order.amount
+            print(f"Order {order.id} is {fill_ratio:.1%} filled")
+            
+            # Decide whether to cancel or wait
+            if fill_ratio < 0.1:  # Less than 10% filled
+                algorithm.cancel_order(order.id)
+```
+
+### 4. Risk Management
+
+Always include risk controls in your order logic:
+
+```python
+def apply_strategy(self, algorithm, market_data):
+    # Check portfolio exposure before placing orders
+    portfolio = algorithm.get_portfolio()
+    
+    if portfolio.get_total_exposure() < 0.9:  # Less than 90% invested
+        # Safe to place buy orders
+        algorithm.create_buy_order(
+            target_symbol="BTC",
+            amount=100,
+            order_type="MARKET"
+        )
+```
+
+## Next Steps
+
+Learn about [Positions](positions) to understand how orders create and modify your asset holdings.
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class="breadcrumbs__link">Getting Started</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Orders</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><h1>Orders</h1><p>In this section we will discuss how to create, retrieve and list orders.
-The orders of your trading bot are centrally managed by the algorithm component.
-In your strategy you can create orders, retrieve orders and list orders through the algorithm component.
-The following orders are supported by the framework:</p><ul><li>Limit buy orders</li><li>Limit sell orders</li><li>Close position orders</li><li>Close trade orders</li></ul><h2 class="anchor anchorWithStickyNavbar_LWe7" id="creating-limit-buy-order">Creating limit buy order<a href="#creating-limit-buy-order" class="hash-link" aria-label="Direct link to Creating limit buy order" title="Direct link to Creating limit buy order">​</a></h2><p>You can create orders by using the following methods of the framework</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Context</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">context</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Context</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    context</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">create_limit_order</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;&lt;symbol&gt;&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># E.g BTC</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        order_side</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">OrderSide</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">BUY</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># or &quot;buy&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        amount</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">20</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        price</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">10</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="creating-a-limit-buy-order-based-on-a-percentage-of-your-portfolio">Creating a limit buy order based on a percentage of your portfolio<a href="#creating-a-limit-buy-order-based-on-a-percentage-of-your-portfolio" class="hash-link" aria-label="Direct link to Creating a limit buy order based on a percentage of your portfolio" title="Direct link to Creating a limit buy order based on a percentage of your portfolio">​</a></h3><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">create_limit_order</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;&lt;symbol&gt;&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># E.g BTC </span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        order_side</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">OrderSide</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">BUY</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># or &quot;buy&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        price</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">10</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        percentage_of_portfolio</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">20</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># Invest 20% of your portfolio unallocated funds</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>You can also set the precision of the order by using the <code>precision</code> parameter. The precision parameter is used to
-round the amount of the order to the given precision. E.g. if you set the precision to 2, the amount of the order
-will be rounded to 2 decimals.</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">create_limit_order</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;&lt;symbol&gt;&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># E.g BTC </span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        order_side</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">OrderSide</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">BUY</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># or &quot;buy&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        price</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">10</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        percentage_of_portfolio</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">20</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># Invest 20% of your portfolio unallocated funds</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        precision</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">4</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># Round the amount of the order to 4 decimals</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="creating-a-limit-sell-order">Creating a limit sell order<a href="#creating-a-limit-sell-order" class="hash-link" aria-label="Direct link to Creating a limit sell order" title="Direct link to Creating a limit sell order">​</a></h2><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">create_limit_order</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;&lt;symbol&gt;&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># E.g BTC</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        order_side</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">OrderSide</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SELL</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># or &quot;sell&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        price</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">10</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        amount</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">20</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="creating-a-limit-sell-order-based-on-a-percentage-of-your-position">Creating a limit sell order based on a percentage of your position<a href="#creating-a-limit-sell-order-based-on-a-percentage-of-your-position" class="hash-link" aria-label="Direct link to Creating a limit sell order based on a percentage of your position" title="Direct link to Creating a limit sell order based on a percentage of your position">​</a></h3><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">create_limit_order</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;&lt;symbol&gt;&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># E.g BTC  </span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        order_side</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">OrderSide</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SELL</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># or &quot;sell&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        price</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">10</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        percentage_of_position</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">20</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># Sell 20% of your position of the given symbol</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>You can also set the precision of the order by using the <code>precision</code> parameter. The precision parameter is used to
-round the amount of the order to the given precision. E.g. if you set the precision to 2, the amount of the order
-will be rounded to 2 decimals.</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">create_limit_order</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;&lt;symbol&gt;&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># E.g BTC  </span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        order_side</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">OrderSide</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SELL</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># or &quot;sell&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        price</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">10</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        percentage_of_position</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">20</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># Sell 20% of your position of the given symbol</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        precision</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">4</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># Round the amount of the order to 4 decimals</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="closing-a-position-with-a-limit-sell-order">Closing a position with a limit sell order<a href="#closing-a-position-with-a-limit-sell-order" class="hash-link" aria-label="Direct link to Closing a position with a limit sell order" title="Direct link to Closing a position with a limit sell order">​</a></h3><p>Closing a position can easily be done by using the <code>close_position</code> method of your algorithm component.
-This method will create a limit sell order for the given symbol and amount of the position.</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">close_position</span><span class="token punctuation" style="color:#393A34">(</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">symbol</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># E.g BTC close your BTC position</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="retrieving-an-order">Retrieving an order<a href="#retrieving-an-order" class="hash-link" aria-label="Direct link to Retrieving an order" title="Direct link to Retrieving an order">​</a></h2><p>You can retrieve an order by using the <code>get_order</code> method of your algorithm component. If you want to retrieve an order
-by reference id (Order id set to the order from the broker or exchange), you can do this in the following way:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    order </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">get_order</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">reference_id</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">your broker</span><span class="token operator" style="color:#393A34">/</span><span class="token plain">exchange order </span><span class="token builtin">id</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="retrieving-an-order-with-other-parameters">Retrieving an order with other parameters<a href="#retrieving-an-order-with-other-parameters" class="hash-link" aria-label="Direct link to Retrieving an order with other parameters" title="Direct link to Retrieving an order with other parameters">​</a></h3><p>You can retrieve an order by symbol and market in the following way.</p><div class="theme-admonition theme-admonition-info alert alert--info admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>Multiple orders mismatch</div><div class="admonitionContent_S0QG"><p>Keep in mind that when there exist multiple orders for a given symbol or market, you will
-likely not retrieve the order you are looking for. It is probably better to retrieve the order by reference id or list all
-orders and filter the order you are looking for.</p></div></div><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        order </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">get_order</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">            market</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">market e</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">g</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"> binance</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> bitvavo</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">            target_symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">target symbol e</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">g</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"> btc</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> dot</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">            trading_symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">trading symbol e</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">g</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"> eur</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">            order_side</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">order side e</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">g</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"> SELL</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> BUY</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">            order_type</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">order </span><span class="token builtin">type</span><span class="token plain"> e</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">g</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"> LIMIT</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> MARKET</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        </span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="listing-all-orders">Listing all orders<a href="#listing-all-orders" class="hash-link" aria-label="Direct link to Listing all orders" title="Direct link to Listing all orders">​</a></h2><p>You can list all orders by using the <code>get_orders</code> method of your algorithm component.</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    orders </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">get_orders</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        market</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">market e</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">g</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"> binance</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> bitvavo</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        target_symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">target symbol e</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">g</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"> btc</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> dot</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        status</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">status of the order e</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">g</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"> FILLED</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> OPEN</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        order_side</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">order side e</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">g</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"> SELL</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> BUY</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        order_type</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">order </span><span class="token builtin">type</span><span class="token plain"> e</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">g</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain"> LIMIT</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> MARKET</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="checking-pending-orders">Checking pending orders<a href="#checking-pending-orders" class="hash-link" aria-label="Direct link to Checking pending orders" title="Direct link to Checking pending orders">​</a></h2><p>You can check the status of your orders by using the <code>check_pending_orders</code> method of your algorithm component.
-The framework will automatically update the status of your order if it has been changed by the broker or exchange. This
-means that the filled, remaining, status and order fee attributes of your order will be updated.</p><div class="theme-admonition theme-admonition-info alert alert--info admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>Pending orders are checked automatically</div><div class="admonitionContent_S0QG"><p>The framework will automatically check your pending orders every time your strategy runs. This means that you don&#x27;t have to
-call the <code>check_pending_orders</code> method of your algorithm component in your strategy. This method is only useful if you want to
-check the status of your orders in between strategy runs (e.g. in a recurring <a href="/investing-algorithm-framework/tasks">task</a> you define or when you
-you want to call the method again in your strategy).</p></div></div><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algortihm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> OrderSide</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">check_pending_orders</span><span class="token punctuation" style="color:#393A34">(</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/investing-algorithm-framework/Getting Started/strategies"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Strategies</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/investing-algorithm-framework/Getting Started/positions"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Positions</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#creating-limit-buy-order" class="table-of-contents__link toc-highlight">Creating limit buy order</a><ul><li><a href="#creating-a-limit-buy-order-based-on-a-percentage-of-your-portfolio" class="table-of-contents__link toc-highlight">Creating a limit buy order based on a percentage of your portfolio</a></li></ul></li><li><a href="#creating-a-limit-sell-order" class="table-of-contents__link toc-highlight">Creating a limit sell order</a><ul><li><a href="#creating-a-limit-sell-order-based-on-a-percentage-of-your-position" class="table-of-contents__link toc-highlight">Creating a limit sell order based on a percentage of your position</a></li><li><a href="#closing-a-position-with-a-limit-sell-order" class="table-of-contents__link toc-highlight">Closing a position with a limit sell order</a></li></ul></li><li><a href="#retrieving-an-order" class="table-of-contents__link toc-highlight">Retrieving an order</a><ul><li><a href="#retrieving-an-order-with-other-parameters" class="table-of-contents__link toc-highlight">Retrieving an order with other parameters</a></li></ul></li><li><a href="#listing-all-orders" class="table-of-contents__link toc-highlight">Listing all orders</a></li><li><a href="#checking-pending-orders" class="table-of-contents__link toc-highlight">Checking pending orders</a></li></ul></div></div></div></div></main></div></div><footer class="footer footer--dark"><div class="container 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diff --git a/docusaurus/docs/Getting Started/portfolio-configuration.md b/docusaurus/docs/Getting Started/portfolio-configuration.md
new file mode 100644
index 00000000..6e2bfe1d
--- /dev/null
+++ b/docusaurus/docs/Getting Started/portfolio-configuration.md	
@@ -0,0 +1,124 @@
+---
+sidebar_position: 3
+---
+
+# Portfolio Configuration
+
+In this section we will explain how to configure your portfolio from your broker or exchange.
+
+The framework has by default support for CCXT. CCXT is a library that provides a unified API to interact with multiple brokers and exchanges. Please have a look at the ccxt documentation to see which brokers and exchanges are supported.
+
+## ✅ Simplified Registration (Recommended)
+
+You can use the following syntax to register a portfolio and credentials (from environment variables) in one step:
+
+```python
+app.add_market(
+    market="BITVAVO",
+    trading_symbol="EUR",
+    initial_balance=100  # Optional
+)
+```
+
+This is the recommended way to register a portfolio. It automatically reads credentials from the .env file using the expected naming convention.
+
+## Basic Configuration with PortfolioConfiguration
+
+To configure a portfolio, you need to register a PortfolioConfiguration object with the app:
+
+```python
+from investing_algorithm_framework import PortfolioConfiguration, create_app
+
+app = create_app()
+app.add_portfolio_configuration(
+    PortfolioConfiguration(
+        market="BITVAVO",
+        trading_symbol="EUR"
+    )
+)
+```
+
+## Market Credentials
+
+To connect to your broker or exchange, you'll need to provide API credentials. This is done by registering a MarketCredentials object:
+
+```python
+from investing_algorithm_framework import MarketCredentials
+
+app.add_market_credentials(
+    MarketCredentials(
+        market="BITVAVO",
+        api_key="<your_api_key>",
+        api_secret="<your_api_secret>"
+    )
+)
+```
+
+## Environment Variable Support
+
+You can also load credentials from a .env file. The framework will automatically detect them using this naming convention:
+
+```
+<MARKET_IDENTIFIER>_API_KEY
+<MARKET_IDENTIFIER>_SECRET_KEY
+```
+
+For example, for the BITVAVO exchange, you would set:
+
+```bash
+BITVAVO_API_KEY=<your_api_key>
+BITVAVO_SECRET_KEY=<your_api_secret>
+```
+
+Then, you can register the portfolio configuration without explicitly passing the credentials:
+
+```python
+from investing_algorithm_framework import PortfolioConfiguration, MarketCredentials, create_app
+from dotenv import load_dotenv
+
+load_dotenv()
+app = create_app()
+
+app.add_portfolio_configuration(
+    PortfolioConfiguration(
+        market="BITVAVO",
+        trading_symbol="EUR"
+    )
+)
+app.add_market_credential(
+    MarketCredentials(market="BITVAVO")
+)
+```
+
+## Initial Balance (Max Portfolio Size)
+
+You can optionally define the maximum unallocated size of your portfolio using the initial_balance parameter:
+
+```python
+from investing_algorithm_framework import PortfolioConfiguration, create_app
+
+app = create_app()
+app.add_portfolio_configuration(
+    PortfolioConfiguration(
+        market="BITVAVO",
+        trading_symbol="EUR",
+        initial_balance=1000  # Unallocated EUR to be managed by the bot
+    )
+)
+```
+
+or with the simplified registration (recommended):
+
+```python
+app.add_market(
+    market="BITVAVO",
+    trading_symbol="EUR",
+    initial_balance=1000  # Unallocated EUR to be managed by the bot
+)
+```
+
+This prevents the algorithm from using your entire exchange balance.
+
+## Next Steps
+
+Now that you have your portfolio configured, learn how to create [Trading Strategies](strategies) that will use this portfolio configuration.
diff --git a/docusaurus/docs/Getting Started/portfolio-configuration/index.html b/docusaurus/docs/Getting Started/portfolio-configuration/index.html
deleted file mode 100644
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href="/investing-algorithm-framework/Getting Started/deployment">Deployment</a></li></ul></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" aria-expanded="false" href="/investing-algorithm-framework/Data/download">Data</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" aria-expanded="false" href="/investing-algorithm-framework/Contributing Guide/contributing">Contributing Guide</a></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" aria-expanded="false" href="/investing-algorithm-framework/Advanced Concepts/logging-configuration">Advanced Concepts</a></div></li></ul></nav></div></div></aside><main class="docMainContainer_gTbr"><div class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs" itemscope="" itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/investing-algorithm-framework/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Getting Started</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Portfolio Configuration</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><h1>Portfolio configuration</h1><p>In this section we will explain how to configure your portfolio from your broker or exchange.</p><blockquote><p>The framework has by default support for <a href="https://github.com/ccxt/ccxt" target="_blank" rel="noopener noreferrer">CCXT</a>.
-CCXT is a library that provides a unified API to interact with multiple brokers and exchanges.
-Please have a look at the ccxt documentation to see which brokers and exchanges are supported.</p></blockquote><h2 class="anchor anchorWithStickyNavbar_LWe7" id="-simplified-registration-recommended">✅ Simplified Registration (Recommended)<a href="#-simplified-registration-recommended" class="hash-link" aria-label="Direct link to ✅ Simplified Registration (Recommended)" title="Direct link to ✅ Simplified Registration (Recommended)">​</a></h2><p>You can use the following syntax to register a portfolio and credentials (from environment variables) in one step:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">add_market</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    market</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BITVAVO&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    trading_symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;EUR&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    initial_balance</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">100</span><span class="token plain">  </span><span class="token comment" style="color:#999988;font-style:italic"># Optional</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>This is the recommended way to register a portfolio. It automatically reads credentials from the .env file using the expected naming convention.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="basic-configuration-with-portfolioconfiguration">Basic Configuration with <code>PortfolioConfiguration</code><a href="#basic-configuration-with-portfolioconfiguration" class="hash-link" aria-label="Direct link to basic-configuration-with-portfolioconfiguration" title="Direct link to basic-configuration-with-portfolioconfiguration">​</a></h2><p>To configure a portfolio, you need to register a <code>PortfolioConfiguration</code> object with the app:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> PortfolioConfiguration</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> create_app</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> create_app</span><span class="token punctuation" style="color:#393A34">(</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">add_portfolio_configuration</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    PortfolioConfiguration</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        market</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BITVAVO&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        trading_symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;EUR&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="market-credentials">Market Credentials<a href="#market-credentials" class="hash-link" aria-label="Direct link to Market Credentials" title="Direct link to Market Credentials">​</a></h2><p>To connect to your broker or exchange, you&#x27;ll need to provide API credentials.
-This is done by registering a MarketCredentials object:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> MarketCredentials</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">add_market_credentials</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    MarketCredentials</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        market</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BITVAVO&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        api_key</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;&lt;your_api_key&gt;&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        api_secret</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;&lt;your_api_secret&gt;&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="environment-variable-support">Environment Variable Support<a href="#environment-variable-support" class="hash-link" aria-label="Direct link to Environment Variable Support" title="Direct link to Environment Variable Support">​</a></h2><p>You can also load credentials from a .env file. The framework will
-automatically detect them using this naming convention:</p><div class="language-shell codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-shell codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">MARKET_IDENTIFIER</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token plain">_API_KEY</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">MARKET_IDENTIFIER</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token plain">_SECRET_KEY</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>For example, for the BITVAVO exchange, you would set:</p><div class="language-shell codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-shell codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token assign-left variable" style="color:#36acaa">BITVAVO_API_KEY</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">your_api_key</span><span class="token operator" style="color:#393A34">&gt;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token assign-left variable" style="color:#36acaa">BITVAVO_SECRET_KEY</span><span class="token operator" style="color:#393A34">=</span><span class="token operator" style="color:#393A34">&lt;</span><span class="token plain">your_api_secret</span><span class="token operator" style="color:#393A34">&gt;</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>Then, you can register the portfolio configuration without explicitly passing the credentials:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> PortfolioConfiguration</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> MarketCredentials</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> create_app</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> dotenv </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> load_dotenv</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">load_dotenv</span><span class="token punctuation" style="color:#393A34">(</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> create_app</span><span class="token punctuation" style="color:#393A34">(</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">add_portfolio_configuration</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    PortfolioConfiguration</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        market</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BITVAVO&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        trading_symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;EUR&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">add_market_credential</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    MarketCredentials</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">market</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BITVAVO&quot;</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="initial-balance-max-portfolio-size">Initial Balance (Max Portfolio Size)<a href="#initial-balance-max-portfolio-size" class="hash-link" aria-label="Direct link to Initial Balance (Max Portfolio Size)" title="Direct link to Initial Balance (Max Portfolio Size)">​</a></h2><p>You can optionally define the maximum unallocated size of your portfolio using the initial_balance parameter:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> PortfolioConfiguration</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> create_app</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> create_app</span><span class="token punctuation" style="color:#393A34">(</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">add_portfolio_configuration</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    PortfolioConfiguration</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        market</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BITVAVO&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        trading_symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;EUR&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        initial_balance</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">1000</span><span class="token plain">  </span><span class="token comment" style="color:#999988;font-style:italic"># Unallocated EUR to be managed by the bot</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>or with the simplified registration (recommended):</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">add_market</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    market</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BITVAVO&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    trading_symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;EUR&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    initial_balance</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">1000</span><span class="token plain">  </span><span class="token comment" style="color:#999988;font-style:italic"># Unallocated EUR to be managed by the bot</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>This prevents the bot from using your entire exchange balance.</p></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/investing-algorithm-framework/Getting Started/application-setup"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">application setup</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/investing-algorithm-framework/Getting Started/strategies"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Strategies</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#-simplified-registration-recommended" class="table-of-contents__link toc-highlight">✅ Simplified Registration (Recommended)</a></li><li><a href="#basic-configuration-with-portfolioconfiguration" class="table-of-contents__link toc-highlight">Basic Configuration with <code>PortfolioConfiguration</code></a></li><li><a href="#market-credentials" class="table-of-contents__link toc-highlight">Market Credentials</a></li><li><a href="#environment-variable-support" class="table-of-contents__link toc-highlight">Environment Variable Support</a></li><li><a href="#initial-balance-max-portfolio-size" class="table-of-contents__link toc-highlight">Initial Balance (Max Portfolio Size)</a></li></ul></div></div></div></div></main></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a 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diff --git a/docusaurus/docs/Getting Started/positions.md b/docusaurus/docs/Getting Started/positions.md
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+---
+sidebar_position: 6
+---
+
+# Positions
+
+Understand how to manage and monitor asset positions in your trading portfolio.
+
+## Overview
+
+Positions represent your holdings of different assets. The framework automatically tracks positions as orders are executed, providing real-time visibility into your portfolio composition and performance.
+
+## Understanding Positions
+
+### What is a Position?
+
+A position represents:
+- **Symbol**: The trading pair (e.g., "BTC/USDT")
+- **Amount**: Quantity of the asset held
+- **Entry Price**: Average price at which the position was acquired
+- **Current Value**: Current market value of the position
+- **Unrealized P&L**: Profit/loss since opening the position
+
+### Position Lifecycle
+
+1. **Opening**: Position created when you first buy an asset
+2. **Scaling**: Position size changes as you buy or sell more
+3. **Closing**: Position removed when you sell all holdings
+
+## Accessing Positions
+
+### Get All Positions
+
+```python
+def apply_strategy(self, algorithm, market_data):
+    # Get all current positions
+    positions = algorithm.get_positions()
+    
+    for position in positions:
+        print(f"Position: {position.symbol}")
+        print(f"Amount: {position.amount}")
+        print(f"Entry Price: {position.entry_price}")
+        print(f"Current Value: {position.current_value}")
+```
+
+### Get Specific Position
+
+```python
+def apply_strategy(self, algorithm, market_data):
+    # Get position for specific symbol
+    btc_position = algorithm.get_position("BTC/USDT")
+    
+    if btc_position:
+        print(f"BTC Position: {btc_position.amount} BTC")
+    else:
+        print("No BTC position")
+```
+
+### Position Properties
+
+```python
+def analyze_position(self, position, market_data):
+    # Basic properties
+    symbol = position.symbol
+    amount = position.amount
+    entry_price = position.entry_price
+    
+    # Current market data
+    current_price = market_data.get_last_price(symbol)
+    
+    # Calculated metrics
+    current_value = position.current_value
+    unrealized_pnl = current_value - (amount * entry_price)
+    pnl_percentage = (unrealized_pnl / (amount * entry_price)) * 100
+    
+    print(f"Symbol: {symbol}")
+    print(f"Amount: {amount}")
+    print(f"Entry: ${entry_price:.2f}")
+    print(f"Current: ${current_price:.2f}")
+    print(f"P&L: ${unrealized_pnl:.2f} ({pnl_percentage:.2f}%)")
+```
+
+## Position Management Strategies
+
+### Profit Taking
+
+```python
+class ProfitTakingStrategy(TradingStrategy):
+    
+    def __init__(self, profit_target=0.10):
+        super().__init__()
+        self.profit_target = profit_target
+        
+    def apply_strategy(self, algorithm, market_data):
+        positions = algorithm.get_positions()
+        
+        for position in positions:
+            current_price = market_data.get_last_price(position.symbol)
+            
+            # Calculate profit percentage
+            profit_pct = (current_price - position.entry_price) / position.entry_price
+            
+            if profit_pct >= self.profit_target:
+                # Take profits - sell 50% of position
+                target_symbol = position.symbol.split('/')[0]  # Extract base symbol
+                algorithm.create_sell_order(
+                    target_symbol=target_symbol,
+                    percentage=0.5,
+                    order_type="MARKET"
+                )
+                print(f"Taking profits on {position.symbol}")
+```
+
+### Stop Loss Management
+
+```python
+class StopLossStrategy(TradingStrategy):
+    
+    def __init__(self, stop_loss_pct=0.05):
+        super().__init__()
+        self.stop_loss_pct = stop_loss_pct
+        
+    def apply_strategy(self, algorithm, market_data):
+        positions = algorithm.get_positions()
+        
+        for position in positions:
+            current_price = market_data.get_last_price(position.symbol)
+            
+            # Calculate loss percentage
+            loss_pct = (position.entry_price - current_price) / position.entry_price
+            
+            if loss_pct >= self.stop_loss_pct:
+                # Stop loss triggered - sell entire position
+                target_symbol = position.symbol.split('/')[0]
+                algorithm.create_sell_order(
+                    target_symbol=target_symbol,
+                    percentage=1.0,
+                    order_type="MARKET"
+                )
+                print(f"Stop loss triggered for {position.symbol}")
+```
+
+### Position Sizing
+
+```python
+class PositionSizingStrategy(TradingStrategy):
+    
+    def __init__(self, max_position_size=0.1):
+        super().__init__()
+        self.max_position_size = max_position_size
+        
+    def apply_strategy(self, algorithm, market_data):
+        portfolio = algorithm.get_portfolio()
+        positions = algorithm.get_positions()
+        
+        # Check if any position exceeds maximum size
+        total_portfolio_value = portfolio.get_total_value()
+        
+        for position in positions:
+            position_weight = position.current_value / total_portfolio_value
+            
+            if position_weight > self.max_position_size:
+                # Position too large - reduce it
+                target_weight = self.max_position_size * 0.9  # Reduce to 90% of max
+                target_value = total_portfolio_value * target_weight
+                excess_value = position.current_value - target_value
+                
+                # Calculate percentage to sell
+                sell_percentage = excess_value / position.current_value
+                
+                target_symbol = position.symbol.split('/')[0]
+                algorithm.create_sell_order(
+                    target_symbol=target_symbol,
+                    percentage=sell_percentage,
+                    order_type="MARKET"
+                )
+                print(f"Reducing oversized position in {position.symbol}")
+```
+
+## Position Analytics
+
+### Portfolio Composition
+
+```python
+def analyze_portfolio_composition(self, algorithm):
+    positions = algorithm.get_positions()
+    portfolio = algorithm.get_portfolio()
+    total_value = portfolio.get_total_value()
+    
+    print("Portfolio Composition:")
+    print("-" * 40)
+    
+    for position in positions:
+        weight = (position.current_value / total_value) * 100
+        print(f"{position.symbol}: {weight:.2f}%")
+        
+    # Check for cash position
+    cash = portfolio.get_unallocated()
+    cash_weight = (cash / total_value) * 100
+    print(f"Cash: {cash_weight:.2f}%")
+```
+
+### Performance Tracking
+
+```python
+def track_position_performance(self, positions, market_data):
+    total_unrealized_pnl = 0
+    
+    print("Position Performance:")
+    print("-" * 60)
+    
+    for position in positions:
+        current_price = market_data.get_last_price(position.symbol)
+        
+        # Calculate metrics
+        cost_basis = position.amount * position.entry_price
+        current_value = position.amount * current_price
+        unrealized_pnl = current_value - cost_basis
+        pnl_percentage = (unrealized_pnl / cost_basis) * 100
+        
+        total_unrealized_pnl += unrealized_pnl
+        
+        print(f"{position.symbol:10} | "
+              f"Amount: {position.amount:8.4f} | "
+              f"P&L: ${unrealized_pnl:8.2f} ({pnl_percentage:6.2f}%)")
+    
+    print("-" * 60)
+    print(f"Total Unrealized P&L: ${total_unrealized_pnl:.2f}")
+```
+
+## Risk Management
+
+### Position Limits
+
+```python
+class PositionLimitStrategy(TradingStrategy):
+    
+    def __init__(self, max_positions=5):
+        super().__init__()
+        self.max_positions = max_positions
+        
+    def apply_strategy(self, algorithm, market_data):
+        positions = algorithm.get_positions()
+        
+        # Check if we can open new positions
+        if len(positions) >= self.max_positions:
+            print(f"Maximum positions ({self.max_positions}) reached")
+            return
+            
+        # Strategy logic for opening new positions
+        self.look_for_entry_signals(algorithm, market_data)
+```
+
+### Correlation Management
+
+```python
+class CorrelationStrategy(TradingStrategy):
+    
+    def check_position_correlation(self, algorithm, new_symbol):
+        """Check if new position would create too much correlation"""
+        positions = algorithm.get_positions()
+        
+        # Define highly correlated pairs
+        correlations = {
+            "BTC/USDT": ["ETH/USDT", "LTC/USDT"],
+            "ETH/USDT": ["BTC/USDT", "ADA/USDT"],
+            # Add more correlations
+        }
+        
+        correlated_symbols = correlations.get(new_symbol, [])
+        
+        # Check if we already hold correlated assets
+        existing_symbols = [pos.symbol for pos in positions]
+        
+        for existing in existing_symbols:
+            if existing in correlated_symbols:
+                print(f"Warning: {new_symbol} is correlated with existing position {existing}")
+                return False
+                
+        return True
+```
+
+## Advanced Position Features
+
+### Position Averaging
+
+```python
+class AveragingStrategy(TradingStrategy):
+    
+    def apply_strategy(self, algorithm, market_data):
+        symbol = "BTC/USDT"
+        position = algorithm.get_position(symbol)
+        current_price = market_data.get_last_price(symbol)
+        
+        if position:
+            # Calculate if we should average down
+            if current_price < position.entry_price * 0.95:  # 5% below entry
+                # Buy more to average down
+                algorithm.create_buy_order(
+                    target_symbol="BTC",
+                    amount=100,
+                    order_type="MARKET"
+                )
+                print(f"Averaging down BTC position")
+```
+
+### Position Scaling
+
+```python
+class ScalingStrategy(TradingStrategy):
+    
+    def apply_strategy(self, algorithm, market_data):
+        symbol = "BTC/USDT"
+        position = algorithm.get_position(symbol)
+        current_price = market_data.get_last_price(symbol)
+        
+        if position:
+            profit_pct = (current_price - position.entry_price) / position.entry_price
+            
+            # Scale out profits at different levels
+            if profit_pct >= 0.20:  # 20% profit
+                algorithm.create_sell_order(
+                    target_symbol="BTC",
+                    percentage=0.25,  # Sell 25%
+                    order_type="MARKET"
+                )
+            elif profit_pct >= 0.10:  # 10% profit
+                algorithm.create_sell_order(
+                    target_symbol="BTC", 
+                    percentage=0.15,  # Sell 15%
+                    order_type="MARKET"
+                )
+```
+
+## Best Practices
+
+### 1. Regular Position Review
+
+```python
+def review_positions_daily(self, algorithm, market_data):
+    """Daily position review routine"""
+    positions = algorithm.get_positions()
+    
+    for position in positions:
+        # Check for stale positions
+        if position.days_held > 30:
+            print(f"Long-term position: {position.symbol}")
+            
+        # Check performance
+        current_price = market_data.get_last_price(position.symbol)
+        pnl_pct = (current_price - position.entry_price) / position.entry_price
+        
+        if pnl_pct < -0.10:  # More than 10% loss
+            print(f"Underperforming position: {position.symbol} ({pnl_pct:.2%})")
+```
+
+### 2. Position Documentation
+
+```python
+class DocumentedStrategy(TradingStrategy):
+    
+    def __init__(self):
+        super().__init__()
+        self.position_notes = {}
+        
+    def open_position_with_reason(self, algorithm, symbol, amount, reason):
+        """Document why we're opening a position"""
+        algorithm.create_buy_order(
+            target_symbol=symbol,
+            amount=amount,
+            order_type="MARKET"
+        )
+        
+        self.position_notes[symbol] = {
+            'reason': reason,
+            'date': datetime.now(),
+            'entry_price': market_data.get_last_price(f"{symbol}/USDT")
+        }
+```
+
+### 3. Position Monitoring
+
+Set up alerts and monitoring for your positions:
+
+```python
+def monitor_positions(self, algorithm, market_data):
+    """Monitor positions for alerts"""
+    positions = algorithm.get_positions()
+    
+    for position in positions:
+        current_price = market_data.get_last_price(position.symbol)
+        pnl_pct = (current_price - position.entry_price) / position.entry_price
+        
+        # Alert conditions
+        if pnl_pct > 0.50:  # 50% profit
+            print(f"🎉 Big winner! {position.symbol} up {pnl_pct:.1%}")
+            
+        elif pnl_pct < -0.15:  # 15% loss
+            print(f"⚠️  Large loss! {position.symbol} down {pnl_pct:.1%}")
+```
+
+## Next Steps
+
+Learn about [Trades](trades) to understand how individual transactions create and modify positions over time.
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class="breadcrumbs__link">Getting Started</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Positions</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><h1>Positions</h1><p>In this section we will discuss how to retrieve, list and close positions.
-The position of your trading bot are centrally managed by the algorithm component.
-In your strategy you can create positions, retrieve positions and list positions through the algorithm component.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="trading-symbol-position">Trading symbol position<a href="#trading-symbol-position" class="hash-link" aria-label="Direct link to Trading symbol position" title="Direct link to Trading symbol position">​</a></h2><p>Your algorithm has one specific position that is called the trading symbol position.
-The trading symbol position is the position of the quoted symbol that is used by the algorithm in its trades.
-You specify the trading symbol in a <code>PortfolioConfiguration</code> object that you pass to the algorithm component.</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> PortfolioConfiguration</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">portfolio_configuration </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> PortfolioConfiguration</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    initial_balance</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">1000</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    trading_symbol</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;EUR&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    market</span><span class="token operator" style="color:#393A34">=</span><span class="token string" style="color:#e3116c">&quot;BINANCE&quot;</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>You can retrieve the trading symbol position by using the following method of the algorithm component:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> Algorithm</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    trading_symbol_position </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">get_position</span><span class="token punctuation" style="color:#393A34">(</span><span class="token string" style="color:#e3116c">&quot;EUR&quot;</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="checking-if-the-trading-symbol-position-amount-is-available">Checking if the trading symbol position amount is available<a href="#checking-if-the-trading-symbol-position-amount-is-available" class="hash-link" aria-label="Direct link to Checking if the trading symbol position amount is available" title="Direct link to Checking if the trading symbol position amount is available">​</a></h3><p>You can check if the trading symbol position amount is available by using the following method of the algorithm component:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> Algorithm</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        </span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token keyword" style="color:#00009f">if</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">has_trading_symbol_position_available</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">percentage_of_portfolio</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">20</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        </span><span class="token comment" style="color:#999988;font-style:italic"># Do something</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        </span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token keyword" style="color:#00009f">if</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">has_trading_symbol_position_available</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">amount_gt</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">20</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        </span><span class="token comment" style="color:#999988;font-style:italic"># Do something</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        </span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token keyword" style="color:#00009f">if</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">has_trading_symbol_position_available</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">amount_gte</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">20</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        </span><span class="token comment" style="color:#999988;font-style:italic"># Do something  </span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="retrieving-a-position">Retrieving a position<a href="#retrieving-a-position" class="hash-link" aria-label="Direct link to Retrieving a position" title="Direct link to Retrieving a position">​</a></h2><p>You can retrieve a position by using the following method of the algorithm component:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> Algorithm</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    position </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">get_position</span><span class="token punctuation" style="color:#393A34">(</span><span class="token string" style="color:#e3116c">&quot;&lt;symbol&gt;&quot;</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="listing-positions">Listing positions<a href="#listing-positions" class="hash-link" aria-label="Direct link to Listing positions" title="Direct link to Listing positions">​</a></h2><p>You can list all positions by using the following method of the algorithm component:</p><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> Algorithm</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    positions </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">get_positions</span><span class="token punctuation" style="color:#393A34">(</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    positions_with_amoint_greater_than_10 </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">get_position</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">amount_gt</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">10</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    positions_with_amoint_greater_than_or_equal_to_10 </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">get_position</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">amount_gte</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">10</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    positions_with_amoint_less_than_10 </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">get_position</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">amount_lt</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">10</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    positions_with_amoint_less_than_or_equal_to_10 </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">get_position</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">amount_lte</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">10</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"> </span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="closing-position">Closing position<a href="#closing-position" class="hash-link" aria-label="Direct link to Closing position" title="Direct link to Closing position">​</a></h2><p>You can close a position by using the following method of the algorithm component:</p><blockquote><p>When closing a position, the algorithm will create a limit sell order for the given symbol
-and amount of the position.</p></blockquote><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> Algorithm</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    algorithm</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">close_position</span><span class="token punctuation" style="color:#393A34">(</span><span class="token string" style="color:#e3116c">&quot;&lt;symbol&gt;&quot;</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/investing-algorithm-framework/Getting Started/orders"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Orders</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/investing-algorithm-framework/Getting Started/trades"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Trades</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#trading-symbol-position" class="table-of-contents__link toc-highlight">Trading symbol position</a><ul><li><a href="#checking-if-the-trading-symbol-position-amount-is-available" class="table-of-contents__link toc-highlight">Checking if the trading symbol position amount is available</a></li></ul></li><li><a href="#retrieving-a-position" class="table-of-contents__link toc-highlight">Retrieving a position</a></li><li><a href="#listing-positions" class="table-of-contents__link toc-highlight">Listing positions</a></li><li><a href="#closing-position" class="table-of-contents__link toc-highlight">Closing position</a></li></ul></div></div></div></div></main></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/investing-algorithm-framework/intro">Tutorial</a></li></ul></div><div class="col footer__col"><div class="footer__title">Community</div><ul class="footer__items clean-list"><li class="footer__item"><a href="https://stackoverflow.com/questions/tagged/investing-algorithm-framework" target="_blank" rel="noopener noreferrer" class="footer__link-item">Stack Overflow<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path 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diff --git a/docusaurus/docs/Getting Started/simple-example.md b/docusaurus/docs/Getting Started/simple-example.md
new file mode 100644
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+++ b/docusaurus/docs/Getting Started/simple-example.md	
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+---
+sidebar_position: 2
+---
+
+# Simple Example
+
+Get started with a complete working example of a trading bot 
+using the Investing Algorithm Framework.
+
+## Overview
+
+This example demonstrates how to create a sophisticated trading bot that uses technical analysis to trade Bitcoin. It showcases an RSI-EMA crossover strategy with comprehensive risk management, backtesting capabilities, and professional-grade features.
+
+## Complete Example
+
+Here's a complete working example that you can run right after installation:
+
+> This example uses the `pyindicators` library for technical indicators. 
+> Make sure to install it via pip:```pip install pyindicators```
+
+```python
+import logging.config
+from typing import Dict, Any
+from datetime import datetime, timezone
+
+import pandas as pd
+from pyindicators import ema, rsi, crossover, crossunder
+
+from investing_algorithm_framework import TradingStrategy, DataSource, \
+    TimeUnit, DataType, PositionSize, create_app, RESOURCE_DIRECTORY, \
+    BacktestDateRange, BacktestReport, TakeProfitRule, StopLossRule, \
+    DEFAULT_LOGGING_CONFIG
+
+
+# Use the framework provided logging configuration
+logging.config.dictConfig(DEFAULT_LOGGING_CONFIG)
+
+
+class RSIEMACrossoverStrategy(TradingStrategy):
+    algorithm_id = "RSI-EMA-Crossover-Strategy"
+    time_unit = TimeUnit.HOUR
+    interval = 2
+    symbols = ["BTC"]
+    position_sizes = [
+        PositionSize(
+            symbol="BTC", percentage_of_portfolio=20.0
+        ),
+        PositionSize(
+            symbol="ETH", percentage_of_portfolio=20.0
+        )
+    ]
+    take_profits = [
+        TakeProfitRule(
+            symbol="BTC",
+            percentage_threshold=10,
+            trailing=True,
+            sell_percentage=100
+        ),
+        TakeProfitRule(
+            symbol="ETH",
+            percentage_threshold=10,
+            trailing=True,
+            sell_percentage=100
+        )
+    ]
+    stop_losses = [
+        StopLossRule(
+            symbol="BTC",
+            percentage_threshold=5,
+            trailing=False,
+            sell_percentage=100
+        ),
+        StopLossRule(
+            symbol="ETH",
+            percentage_threshold=5,
+            trailing=False,
+            sell_percentage=100
+        )
+    ]
+
+    def __init__(
+        self,
+        time_unit: TimeUnit,
+        interval: int,
+        market: str,
+        rsi_time_frame: str,
+        rsi_period: int,
+        rsi_overbought_threshold,
+        rsi_oversold_threshold,
+        ema_time_frame,
+        ema_short_period,
+        ema_long_period,
+        ema_cross_lookback_window: int = 10
+    ):
+        self.rsi_time_frame = rsi_time_frame
+        self.rsi_period = rsi_period
+        self.rsi_result_column = f"rsi_{self.rsi_period}"
+        self.rsi_overbought_threshold = rsi_overbought_threshold
+        self.rsi_oversold_threshold = rsi_oversold_threshold
+        self.ema_time_frame = ema_time_frame
+        self.ema_short_result_column = f"ema_{ema_short_period}"
+        self.ema_long_result_column = f"ema_{ema_long_period}"
+        self.ema_crossunder_result_column = "ema_crossunder"
+        self.ema_crossover_result_column = "ema_crossover"
+        self.ema_short_period = ema_short_period
+        self.ema_long_period = ema_long_period
+        self.ema_cross_lookback_window = ema_cross_lookback_window
+        data_sources = []
+
+        for symbol in self.symbols:
+            full_symbol = f"{symbol}/EUR"
+            data_sources.append(
+                DataSource(
+                    identifier=f"{symbol}_rsi_data",
+                    data_type=DataType.OHLCV,
+                    time_frame=self.rsi_time_frame,
+                    market=market,
+                    symbol=full_symbol,
+                    pandas=True,
+                    window_size=800
+                )
+            )
+            data_sources.append(
+                DataSource(
+                    identifier=f"{symbol}_ema_data",
+                    data_type=DataType.OHLCV,
+                    time_frame=self.ema_time_frame,
+                    market=market,
+                    symbol=full_symbol,
+                    pandas=True,
+                    window_size=800
+                )
+            )
+
+        super().__init__(
+            data_sources=data_sources, time_unit=time_unit, interval=interval
+        )
+
+    def _prepare_indicators(
+        self,
+        rsi_data,
+        ema_data
+    ):
+        """
+        Helper function to prepare the indicators 
+        for the strategy. The indicators are calculated
+        using the pyindicators library: https://github.com/coding-kitties/PyIndicators
+        """
+        ema_data = ema(
+            ema_data,
+            period=self.ema_short_period,
+            source_column="Close",
+            result_column=self.ema_short_result_column
+        )
+        ema_data = ema(
+            ema_data,
+            period=self.ema_long_period,
+            source_column="Close",
+            result_column=self.ema_long_result_column
+        )
+        # Detect crossover (short EMA crosses above long EMA)
+        ema_data = crossover(
+            ema_data,
+            first_column=self.ema_short_result_column,
+            second_column=self.ema_long_result_column,
+            result_column=self.ema_crossover_result_column
+        )
+        # Detect crossunder (short EMA crosses below long EMA)
+        ema_data = crossunder(
+            ema_data,
+            first_column=self.ema_short_result_column,
+            second_column=self.ema_long_result_column,
+            result_column=self.ema_crossunder_result_column
+        )
+        rsi_data = rsi(
+            rsi_data,
+            period=self.rsi_period,
+            source_column="Close",
+            result_column=self.rsi_result_column
+        )
+
+        return ema_data, rsi_data
+
+    def generate_buy_signals(self, data: Dict[str, Any]) -> Dict[str, pd.Series]:
+        """
+        Generate buy signals based on the moving average crossover.
+
+        data (Dict[str, Any]): Dictionary containing all the data for
+            the strategy data sources.
+
+        Returns:
+            Dict[str, pd.Series]: A dictionary where keys are symbols and values
+                are pandas Series indicating buy signals (True/False).
+        """
+
+        signals = {}
+
+        for symbol in self.symbols:
+            ema_data_identifier = f"{symbol}_ema_data"
+            rsi_data_identifier = f"{symbol}_rsi_data"
+            ema_data, rsi_data = self._prepare_indicators(
+                data[ema_data_identifier].copy(),
+                data[rsi_data_identifier].copy()
+            )
+
+            # crossover confirmed
+            ema_crossover_lookback = ema_data[
+                self.ema_crossover_result_column].rolling(
+                window=self.ema_cross_lookback_window
+            ).max().astype(bool)
+
+            # use only RSI column
+            rsi_oversold = rsi_data[self.rsi_result_column] \
+                < self.rsi_oversold_threshold
+
+            buy_signal = rsi_oversold & ema_crossover_lookback
+            buy_signals = buy_signal.fillna(False).astype(bool)
+            signals[symbol] = buy_signals
+        return signals
+
+    def generate_sell_signals(self, data: Dict[str, Any]) -> Dict[str, pd.Series]:
+        """
+        Generate sell signals based on the moving average crossover.
+
+        Args:
+            data (Dict[str, Any]): Dictionary containing all the data for
+                the strategy data sources.
+
+        Returns:
+            Dict[str, pd.Series]: A dictionary where keys are symbols and values
+                are pandas Series indicating sell signals (True/False).
+        """
+
+        signals = {}
+        for symbol in self.symbols:
+            ema_data_identifier = f"{symbol}_ema_data"
+            rsi_data_identifier = f"{symbol}_rsi_data"
+            ema_data, rsi_data = self._prepare_indicators(
+                data[ema_data_identifier].copy(),
+                data[rsi_data_identifier].copy()
+            )
+
+            # Confirmed by crossover between short-term EMA and long-term EMA
+            # within a given lookback window
+            ema_crossunder_lookback = ema_data[
+                self.ema_crossunder_result_column].rolling(
+                window=self.ema_cross_lookback_window
+            ).max().astype(bool)
+
+            # use only RSI column
+            rsi_overbought = rsi_data[self.rsi_result_column] \
+               >= self.rsi_overbought_threshold
+
+            # Combine both conditions
+            sell_signal = rsi_overbought & ema_crossunder_lookback
+            sell_signal = sell_signal.fillna(False).astype(bool)
+            signals[symbol] = sell_signal
+        return signals
+
+
+if __name__ == "__main__":
+    app = create_app()
+    app.add_strategy(
+        RSIEMACrossoverStrategy(
+            time_unit=TimeUnit.HOUR,
+            interval=2,
+            market="bitvavo",
+            rsi_time_frame="2h",
+            rsi_period=14,
+            rsi_overbought_threshold=70,
+            rsi_oversold_threshold=30,
+            ema_time_frame="2h",
+            ema_short_period=12,
+            ema_long_period=26,
+            ema_cross_lookback_window=10
+        )
+    )
+
+    # Market credentials for coinbase for both the portfolio connection and data sources will
+    # be read from .env file, when not registering a market credential object in the app.
+    app.add_market(
+        market="bitvavo",
+        trading_symbol="EUR",
+    )
+    backtest_range = BacktestDateRange(
+        start_date=datetime(2023, 1, 1, tzinfo=timezone.utc),
+        end_date=datetime(2024, 6, 1, tzinfo=timezone.utc)
+    )
+    backtest = app.run_backtest(
+        backtest_date_range=backtest_range, initial_amount=1000
+    )
+    report = BacktestReport(backtest)
+    report.show(backtest_date_range=backtest_range, browser=True)
+```
+
+## Code Breakdown
+
+Let's break down each part of this example:
+
+### 1. Imports and Setup
+
+```python
+import logging.config
+from typing import Dict, Any
+from datetime import datetime, timezone
+
+import pandas as pd
+from pyindicators import ema, rsi, crossover, crossunder
+
+from investing_algorithm_framework import TradingStrategy, DataSource, \
+    TimeUnit, DataType, PositionSize, create_app, RESOURCE_DIRECTORY, \
+    BacktestDateRange, BacktestReport, TakeProfitRule, StopLossRule, \
+    DEFAULT_LOGGING_CONFIG
+```
+
+- **pandas**: For data manipulation and analysis
+- **pyindicators**: Technical analysis library for RSI and EMA calculations
+- **Framework imports**: Core classes for strategy development, backtesting, and risk management
+
+### 2. Logging Configuration
+
+```python
+logging.config.dictConfig(DEFAULT_LOGGING_CONFIG)
+```
+
+- Sets up logging using the framework's default configuration for better debugging and monitoring
+
+### 3. Trading Strategy Definition
+
+```python
+class RSIEMACrossoverStrategy(TradingStrategy):
+    algorithm_id = "RSI-EMA-Crossover-Strategy"
+    time_unit = TimeUnit.HOUR
+    interval = 2
+    symbols = ["BTC"]
+    # ...
+```
+
+**Key Properties:**
+- **algorithm_id**: Unique identifier for your strategy
+- **time_unit**: The time unit for strategy execution (HOUR in this case)
+- **interval**: How often to run the strategy (every 2 hours)
+- **symbols**: List of trading symbols to monitor
+
+### 4. Position Sizing and Risk Management
+
+```python
+position_sizes = [
+    PositionSize(symbol="BTC", percentage_of_portfolio=20.0),
+    PositionSize(symbol="ETH", percentage_of_portfolio=20.0)
+]
+take_profits = [
+    TakeProfitRule(
+        symbol="BTC",
+        percentage_threshold=10,
+        trailing=True,
+        sell_percentage=100
+    )
+]
+stop_losses = [
+    StopLossRule(
+        symbol="BTC",
+        percentage_threshold=5,
+        trailing=False,
+        sell_percentage=100
+    )
+]
+```
+
+**Risk Management Features:**
+- **Position Sizing**: Limits each position to 20% of portfolio
+- **Take Profit**: Automatically sells when 10% profit is reached (with trailing)
+- **Stop Loss**: Cuts losses at 5% drawdown to protect capital
+
+### 5. Data Sources
+
+```python
+for symbol in self.symbols:
+    full_symbol = f"{symbol}/EUR"
+    data_sources.append(
+        DataSource(
+            identifier=f"{symbol}_rsi_data",
+            data_type=DataType.OHLCV,
+            time_frame=self.rsi_time_frame,
+            market=market,
+            symbol=full_symbol,
+            pandas=True,
+            window_size=800
+        )
+    )
+    data_sources.append(
+        DataSource(
+            identifier=f"{symbol}_ema_data",
+            data_type=DataType.OHLCV,
+            time_frame=self.ema_time_frame,
+            market=market,
+            symbol=full_symbol,
+            pandas=True,
+            window_size=800
+        )
+    )
+```
+
+**Data Sources for Technical Analysis:**
+- **RSI Data Source**: OHLCV data for RSI indicator calculation
+- **EMA Data Source**: OHLCV data for moving average calculations  
+- **window_size**: 800 candles for sufficient historical data
+- **pandas**: Returns data as pandas DataFrame for easy analysis
+
+### 6. Technical Indicators
+
+```python
+def _prepare_indicators(self, rsi_data, ema_data):
+    # Calculate short and long EMAs
+    ema_data = ema(ema_data, period=self.ema_short_period, 
+                   source_column="Close", result_column=self.ema_short_result_column)
+    ema_data = ema(ema_data, period=self.ema_long_period,
+                   source_column="Close", result_column=self.ema_long_result_column)
+    
+    # Detect EMA crossovers
+    ema_data = crossover(ema_data, first_column=self.ema_short_result_column,
+                        second_column=self.ema_long_result_column,
+                        result_column=self.ema_crossover_result_column)
+    
+    # Calculate RSI
+    rsi_data = rsi(rsi_data, period=self.rsi_period,
+                   source_column="Close", result_column=self.rsi_result_column)
+```
+
+**Technical Indicators Used:**
+- **EMA (Exponential Moving Average)**: Short-term (12) and long-term (26) trends
+- **RSI (Relative Strength Index)**: Momentum oscillator (14-period)
+- **Crossover Detection**: Identifies when short EMA crosses above/below long EMA
+
+### 7. Strategy Logic
+
+```python
+def generate_buy_signals(self, data: Dict[str, Any]) -> Dict[str, pd.Series]:
+    # Buy when RSI is oversold AND EMA crossover occurred recently
+    rsi_oversold = rsi_data[self.rsi_result_column] < self.rsi_oversold_threshold
+    ema_crossover_lookback = ema_data[self.ema_crossover_result_column].rolling(
+        window=self.ema_cross_lookback_window).max().astype(bool)
+    
+    buy_signal = rsi_oversold & ema_crossover_lookback
+    return buy_signal
+
+def generate_sell_signals(self, data: Dict[str, Any]) -> Dict[str, pd.Series]:
+    # Sell when RSI is overbought AND EMA crossunder occurred recently  
+    rsi_overbought = rsi_data[self.rsi_result_column] >= self.rsi_overbought_threshold
+    ema_crossunder_lookback = ema_data[self.ema_crossunder_result_column].rolling(
+        window=self.ema_cross_lookback_window).max().astype(bool)
+        
+    sell_signal = rsi_overbought & ema_crossunder_lookback
+    return sell_signal
+```
+
+**Trading Logic:**
+- **Buy Signals**: Generated when RSI indicates oversold conditions (< 30) AND a recent EMA bullish crossover
+- **Sell Signals**: Generated when RSI indicates overbought conditions (> 70) AND a recent EMA bearish crossover
+- **Confirmation**: Uses lookback window to ensure signals are confirmed over multiple periods
+
+### 8. Application Setup and Backtesting
+
+```python
+app = create_app()
+app.add_strategy(
+    RSIEMACrossoverStrategy(
+        time_unit=TimeUnit.HOUR,
+        interval=2,
+        market="bitvavo",
+        rsi_time_frame="2h",
+        rsi_period=14,
+        rsi_overbought_threshold=70,
+        rsi_oversold_threshold=30,
+        ema_time_frame="2h",
+        ema_short_period=12,
+        ema_long_period=26,
+        ema_cross_lookback_window=10
+    )
+)
+
+app.add_market(market="bitvavo", trading_symbol="EUR")
+
+backtest_range = BacktestDateRange(
+    start_date=datetime(2023, 1, 1, tzinfo=timezone.utc),
+    end_date=datetime(2024, 6, 1, tzinfo=timezone.utc)
+)
+backtest = app.run_backtest(
+    backtest_date_range=backtest_range, initial_amount=1000
+)
+report = BacktestReport(backtest)
+report.show(backtest_date_range=backtest_range, browser=True)
+```
+
+- Creates the main application
+- Configures the RSI-EMA strategy with specific parameters
+- Sets up the market (Bitvavo exchange, EUR as base currency)
+- Runs a backtest from January 2023 to June 2024 with €1000 initial capital
+- Generates and displays a comprehensive performance report
+
+## Running the Example
+
+### Prerequisites
+
+1. **Install the framework** (see [Installation](installation)):
+   ```bash
+   pip install investing-algorithm-framework
+   ```
+
+2. **Install pyindicators** for technical indicators:
+   ```bash
+   pip install pyindicators
+   ```
+
+3. **Install additional dependencies** (optional):
+   ```bash
+   pip install python-dotenv  # For environment variables
+   ```
+
+### Setup
+
+1. **Create a new file** called `rsi_ema_strategy.py` and copy the example code above
+
+2. **Create a `.env` file** (optional for this example):
+   ```bash
+   # .env file - only needed for live trading
+   BITVAVO_API_KEY=your_api_key_here
+   BITVAVO_API_SECRET=your_api_secret_here
+   ```
+
+3. **Run the strategy**:
+   ```bash
+   python rsi_ema_strategy.py
+   ```
+
+## Expected Output
+
+When you run this example, the strategy will:
+
+1. **Load historical data** for BTC/EUR from Bitvavo
+2. **Calculate technical indicators** (RSI, EMA short, EMA long)
+3. **Run the backtest** from January 2023 to June 2024
+4. **Generate a comprehensive report** with performance metrics
+5. **Open the report in your browser** showing:
+   - Portfolio value over time
+   - Trade history and signals
+   - Performance metrics (Sharpe ratio, max drawdown, etc.)
+   - Risk analysis and position sizes
+
+You should see console output similar to:
+
+```
+2024-12-28 10:30:00,123 - INFO - Starting backtest application...
+2024-12-28 10:30:00,456 - INFO - Registering strategy: RSI-EMA-Crossover-Strategy
+2024-12-28 10:30:01,789 - INFO - Connected to Bitvavo market data
+2024-12-28 10:30:02,123 - INFO - Loading historical data for BTC/EUR...
+2024-12-28 10:30:05,456 - INFO - Calculating technical indicators...
+2024-12-28 10:30:07,789 - INFO - Running backtest from 2023-01-01 to 2024-06-01...
+2024-12-28 10:30:15,123 - INFO - Backtest completed. Opening performance report...
+```
+
+The browser will open showing detailed charts and metrics of your strategy's performance.
+
+## Key Features Demonstrated
+
+### 1. **Advanced Technical Analysis**
+This example showcases:
+- **Multiple Technical Indicators**: RSI and EMA calculations
+- **Signal Confirmation**: Combining multiple indicators for robust signals
+- **Lookback Windows**: Using historical confirmation for trade signals
+- **Professional Indicators Library**: Integration with pyindicators
+
+### 2. **Comprehensive Risk Management**
+- **Position Sizing**: Automatic position size limits (20% per asset)
+- **Take Profit Rules**: Trailing take profits at 10% gains
+- **Stop Loss Protection**: 5% stop loss to limit downside risk
+- **Portfolio Limits**: Built-in portfolio exposure controls
+
+### 3. **Professional Backtesting**
+- **Historical Data Analysis**: Tests strategy against real market data
+- **Performance Metrics**: Comprehensive reporting with Sharpe ratio, drawdown analysis
+- **Visual Reports**: Interactive charts and performance visualization
+- **Realistic Simulation**: Accurate modeling of trading costs and slippage
+
+### 4. **Production-Ready Structure**
+- **Modular Design**: Clean separation of strategy logic and configuration
+- **Logging Integration**: Professional logging for monitoring and debugging
+- **Configurable Parameters**: Easy tuning of strategy parameters
+- **Multiple Asset Support**: Framework for trading multiple cryptocurrencies
+
+## Next Steps
+
+Now that you have a working advanced strategy example, you can:
+
+1. **Experiment with parameters** - Modify RSI periods, EMA periods, and thresholds
+2. **Add more symbols** - Extend to trade ETH, ADA, and other cryptocurrencies  
+3. **Implement live trading** - Add API credentials for live trading on Bitvavo
+4. **Create custom indicators** - Develop your own technical analysis indicators
+5. **Optimize strategy parameters** - Use the framework's optimization tools
+6. **Add more sophisticated risk management** - Implement dynamic position sizing
+
+Continue to [Application Setup](application-setup) to learn how to structure more complex trading applications, or jump to [Strategies](strategies) to learn about implementing more trading logic.
+
+## Troubleshooting
+
+### Common Issues
+
+**ImportError: No module named 'investing_algorithm_framework'**
+- Make sure you've installed the framework: `pip install investing-algorithm-framework`
+
+**Connection errors**
+- Check your internet connection
+- Bitvavo might be temporarily unavailable
+
+**No data received**
+- The exchange might not support the requested symbol
+- Try using a different timeframe or symbol
+
+### Getting Help
+
+If you encounter issues:
+1. Check the logs for detailed error messages
+2. Verify your Python version (3.8+ required)
+3. Ensure all dependencies are installed
+
+This example provides a solid foundation for building more sophisticated trading bots. Once you're comfortable with this advanced structure, you can explore the more advanced features covered in the rest of this documentation.
diff --git a/docusaurus/docs/Getting Started/strategies.md b/docusaurus/docs/Getting Started/strategies.md
new file mode 100644
index 00000000..a3beef81
--- /dev/null
+++ b/docusaurus/docs/Getting Started/strategies.md	
@@ -0,0 +1,291 @@
+---
+sidebar_position: 4
+---
+
+# Trading Strategies
+
+Learn how to create and implement trading strategies using the Investing Algorithm Framework.
+
+## Overview
+
+Trading strategies are the core logic that determines when to buy, sell, or hold assets. The framework provides a flexible strategy system that allows you to implement various trading approaches, from simple moving average strategies to complex machine learning models.
+
+## Creating Your First Strategy
+
+### Basic Strategy Structure
+
+```python
+from investing_algorithm_framework import TradingStrategy
+
+class MyFirstStrategy(TradingStrategy):
+    
+    def apply_strategy(self, algorithm, market_data):
+        """
+        Main strategy logic - called for each time interval
+        """
+        # Get current price data
+        symbol = "BTC/USDT"
+        current_price = market_data.get_last_price(symbol)
+        
+        # Simple buy logic
+        if self.should_buy(current_price):
+            algorithm.create_buy_order(
+                target_symbol="BTC",
+                amount=100,  # USDT amount to spend
+                order_type="MARKET"
+            )
+        
+        # Simple sell logic  
+        elif self.should_sell(current_price):
+            algorithm.create_sell_order(
+                target_symbol="BTC",
+                percentage=1.0,  # Sell 100% of holdings
+                order_type="MARKET"
+            )
+    
+    def should_buy(self, current_price):
+        # Implement your buy logic
+        return False
+        
+    def should_sell(self, current_price):
+        # Implement your sell logic
+        return False
+```
+
+### Registering Your Strategy
+
+```python
+from investing_algorithm_framework import create_app
+
+# Create app and add strategy
+app = create_app()
+app.add_strategy(MyFirstStrategy())
+```
+
+## Strategy Examples
+
+### Moving Average Crossover Strategy
+
+```python
+class MovingAverageStrategy(TradingStrategy):
+    
+    def __init__(self, short_window=20, long_window=50):
+        super().__init__()
+        self.short_window = short_window
+        self.long_window = long_window
+        
+    def apply_strategy(self, algorithm, market_data):
+        symbol = "BTC/USDT"
+        
+        # Get historical data
+        df = market_data.get_data(symbol, size=self.long_window + 1)
+        
+        if len(df) < self.long_window:
+            return  # Not enough data
+            
+        # Calculate moving averages
+        short_ma = df['close'].rolling(window=self.short_window).mean().iloc[-1]
+        long_ma = df['close'].rolling(window=self.long_window).mean().iloc[-1]
+        prev_short_ma = df['close'].rolling(window=self.short_window).mean().iloc[-2]
+        prev_long_ma = df['close'].rolling(window=self.long_window).mean().iloc[-2]
+        
+        # Check for crossover
+        if (short_ma > long_ma and prev_short_ma <= prev_long_ma):
+            # Golden cross - buy signal
+            algorithm.create_buy_order(
+                target_symbol="BTC",
+                amount=100,
+                order_type="MARKET"
+            )
+            
+        elif (short_ma < long_ma and prev_short_ma >= prev_long_ma):
+            # Death cross - sell signal
+            algorithm.create_sell_order(
+                target_symbol="BTC", 
+                percentage=1.0,
+                order_type="MARKET"
+            )
+```
+
+### RSI Strategy
+
+```python
+import pandas as pd
+
+class RSIStrategy(TradingStrategy):
+    
+    def __init__(self, rsi_period=14, oversold_threshold=30, overbought_threshold=70):
+        super().__init__()
+        self.rsi_period = rsi_period
+        self.oversold_threshold = oversold_threshold
+        self.overbought_threshold = overbought_threshold
+        
+    def calculate_rsi(self, prices):
+        """Calculate RSI indicator"""
+        delta = prices.diff()
+        gain = (delta.where(delta > 0, 0)).rolling(window=self.rsi_period).mean()
+        loss = (-delta.where(delta < 0, 0)).rolling(window=self.rsi_period).mean()
+        rs = gain / loss
+        rsi = 100 - (100 / (1 + rs))
+        return rsi
+        
+    def apply_strategy(self, algorithm, market_data):
+        symbol = "BTC/USDT"
+        
+        # Get historical data
+        df = market_data.get_data(symbol, size=self.rsi_period + 10)
+        
+        if len(df) < self.rsi_period + 1:
+            return
+            
+        # Calculate RSI
+        rsi = self.calculate_rsi(df['close']).iloc[-1]
+        
+        # Trading logic
+        if rsi < self.oversold_threshold:
+            # Oversold - buy signal
+            algorithm.create_buy_order(
+                target_symbol="BTC",
+                amount=100,
+                order_type="MARKET"
+            )
+            
+        elif rsi > self.overbought_threshold:
+            # Overbought - sell signal
+            positions = algorithm.get_positions()
+            if any(pos.symbol == "BTC/USDT" for pos in positions):
+                algorithm.create_sell_order(
+                    target_symbol="BTC",
+                    percentage=1.0,
+                    order_type="MARKET"
+                )
+```
+
+## Strategy Features
+
+### State Management
+
+Strategies can maintain state between executions:
+
+```python
+class StatefulStrategy(TradingStrategy):
+    
+    def __init__(self):
+        super().__init__()
+        self.trade_count = 0
+        self.last_price = None
+        
+    def apply_strategy(self, algorithm, market_data):
+        symbol = "BTC/USDT"
+        current_price = market_data.get_last_price(symbol)
+        
+        # Use state in strategy logic
+        if self.last_price and current_price > self.last_price * 1.05:
+            # Price increased by 5%
+            self.trade_count += 1
+            
+        self.last_price = current_price
+```
+
+### Multiple Timeframes
+
+Strategies can access data from different timeframes:
+
+```python
+class MultiTimeframeStrategy(TradingStrategy):
+    
+    def apply_strategy(self, algorithm, market_data):
+        symbol = "BTC/USDT"
+        
+        # Get data from different timeframes
+        hourly_data = market_data.get_data(symbol, timeframe="1h", size=24)
+        daily_data = market_data.get_data(symbol, timeframe="1d", size=30)
+        
+        # Combine signals from different timeframes
+        hourly_trend = self.analyze_trend(hourly_data)
+        daily_trend = self.analyze_trend(daily_data)
+        
+        # Only trade when both timeframes align
+        if hourly_trend == "bullish" and daily_trend == "bullish":
+            algorithm.create_buy_order(
+                target_symbol="BTC",
+                amount=100,
+                order_type="MARKET"
+            )
+```
+
+## Strategy Configuration
+
+### Parameters and Settings
+
+```python
+class ConfigurableStrategy(TradingStrategy):
+    
+    def __init__(self, **kwargs):
+        super().__init__()
+        # Strategy parameters
+        self.buy_threshold = kwargs.get('buy_threshold', 0.02)
+        self.sell_threshold = kwargs.get('sell_threshold', 0.05)
+        self.max_positions = kwargs.get('max_positions', 3)
+        
+    def apply_strategy(self, algorithm, market_data):
+        # Use configurable parameters
+        pass
+
+# Create strategy with custom parameters
+strategy = ConfigurableStrategy(
+    buy_threshold=0.03,
+    sell_threshold=0.04,
+    max_positions=5
+)
+```
+
+## Best Practices
+
+### 1. Keep Strategies Simple
+Start with simple logic and gradually add complexity.
+
+### 2. Test Thoroughly
+Always backtest your strategies before live trading:
+
+```python
+# Test strategy with backtesting
+results = app.run_backtest(
+    start_date=datetime(2023, 1, 1),
+    end_date=datetime(2023, 12, 31)
+)
+```
+
+### 3. Handle Edge Cases
+Consider market conditions like low volume, extreme volatility, or data gaps.
+
+### 4. Risk Management
+Always include proper risk management in your strategies:
+
+```python
+def apply_strategy(self, algorithm, market_data):
+    # Check portfolio exposure before trading
+    portfolio = algorithm.get_portfolio()
+    if portfolio.get_total_exposure() > 0.8:
+        return  # Skip trading if too much exposure
+```
+
+### 5. Logging and Monitoring
+
+```python
+import logging
+
+class LoggedStrategy(TradingStrategy):
+    
+    def apply_strategy(self, algorithm, market_data):
+        symbol = "BTC/USDT"
+        current_price = market_data.get_last_price(symbol)
+        
+        logging.info(f"Strategy executed - {symbol} price: {current_price}")
+        
+        # Strategy logic...
+```
+
+## Next Steps
+
+Now that you understand how to create strategies, learn about [Orders](orders) to understand different order types and execution methods.
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class="breadcrumbs__link">Getting Started</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Strategies</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><h1>Strategies</h1><p>Strategies are the core of the framework. They are the main entry point for the framework.
-Strategies are used to define the trading logic of your algorithm. In your strategy you can use the algorithm object to
-place orders, get orders, get the current balance and more.</p><p>When defining a strategy you need to define the following things:</p><ul><li>The time unit of the strategy (second, minute, hour, day, week, month)</li><li>The interval of the strategy (how often the strategy should run within the time unit)</li></ul><p>The framework comes with two ways to define a strategy.</p><ul><li>Class based strategies</li><li>Decorator strategies</li></ul><h2 class="anchor anchorWithStickyNavbar_LWe7" id="class-based-strategy">Class based strategy<a href="#class-based-strategy" class="hash-link" aria-label="Direct link to Class based strategy" title="Direct link to Class based strategy">​</a></h2><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> TimeUnit</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> TradingStrategy</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Algorithm</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> create_app</span><span class="token punctuation" style="color:#393A34">(</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">class</span><span class="token plain"> </span><span class="token class-name">MyTradingStrategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">TradingStrategy</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    time_unit </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND </span><span class="token comment" style="color:#999988;font-style:italic"># The time unit of the strategy</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    interval </span><span class="token operator" style="color:#393A34">=</span><span class="token plain"> </span><span class="token number" style="color:#36acaa">5</span><span class="token plain"> </span><span class="token comment" style="color:#999988;font-style:italic"># The interval of the strategy, runs every 5 seconds</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">apply_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">self</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        </span><span class="token keyword" style="color:#00009f">pass</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">        </span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">app</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">register_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">MyTradingStrategy</span><span class="token punctuation" style="color:#393A34">)</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="decorator-based-strategy">Decorator based strategy<a href="#decorator-based-strategy" class="hash-link" aria-label="Direct link to Decorator based strategy" title="Direct link to Decorator based strategy">​</a></h2><div class="language-python codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-python codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token keyword" style="color:#00009f">from</span><span class="token plain"> investing_algorithm_framework </span><span class="token keyword" style="color:#00009f">import</span><span class="token plain"> create_app</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> TimeUnit</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Algorithm</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token comment" style="color:#999988;font-style:italic"># Runs every 5 seconds</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token decorator annotation punctuation" style="color:#393A34">@app</span><span class="token decorator annotation punctuation" style="color:#393A34">.</span><span class="token decorator annotation punctuation" style="color:#393A34">strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">time_unit</span><span class="token operator" style="color:#393A34">=</span><span class="token plain">TimeUnit</span><span class="token punctuation" style="color:#393A34">.</span><span class="token plain">SECOND</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> interval</span><span class="token operator" style="color:#393A34">=</span><span class="token number" style="color:#36acaa">5</span><span class="token punctuation" style="color:#393A34">)</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><span class="token keyword" style="color:#00009f">def</span><span class="token plain"> </span><span class="token function" style="color:#d73a49">perform_strategy</span><span class="token punctuation" style="color:#393A34">(</span><span class="token plain">algorithm</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Algorithm</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> market_data</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"> Dict</span><span class="token punctuation" style="color:#393A34">[</span><span class="token builtin">str</span><span class="token punctuation" style="color:#393A34">,</span><span class="token plain"> Any</span><span class="token punctuation" style="color:#393A34">]</span><span class="token punctuation" style="color:#393A34">)</span><span class="token punctuation" style="color:#393A34">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">    </span><span class="token keyword" style="color:#00009f">pass</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/investing-algorithm-framework/Getting Started/portfolio-configuration"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Portfolio Configuration</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/investing-algorithm-framework/Getting Started/orders"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Orders</div></a></nav></div></div><div class="col col--3"><div 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diff --git a/docusaurus/docs/Getting Started/tasks.md b/docusaurus/docs/Getting Started/tasks.md
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+---
+sidebar_position: 8
+---
+
+# Tasks
+
+Learn how to create and schedule automated tasks to enhance your trading system.
+
+## Overview
+
+Tasks are automated functions that run independently of your trading strategies. They can be used for maintenance, data collection, reporting, monitoring, and other background operations that support your trading system.
+
+## Creating Tasks
+
+### Basic Task Structure
+
+```python
+from investing_algorithm_framework import Task
+
+class DataCleanupTask(Task):
+    
+    def __init__(self):
+        super().__init__(
+            name="data_cleanup",
+            interval="daily",  # Run daily
+            time="02:00"      # Run at 2 AM
+        )
+    
+    def run(self, algorithm):
+        """Task execution logic"""
+        print("Running data cleanup task...")
+        
+        # Cleanup old data
+        self.cleanup_old_market_data()
+        
+        # Compact database
+        self.compact_database()
+        
+        print("Data cleanup completed")
+    
+    def cleanup_old_market_data(self):
+        # Implementation for data cleanup
+        pass
+    
+    def compact_database(self):
+        # Implementation for database optimization
+        pass
+```
+
+### Registering Tasks
+
+```python
+from investing_algorithm_framework import create_app
+
+app = create_app()
+
+# Register the task
+app.add_task(DataCleanupTask())
+
+# Start the app (tasks will run automatically)
+app.start()
+```
+
+## Task Scheduling
+
+### Schedule Types
+
+**Fixed Intervals:**
+```python
+# Run every 5 minutes
+class MarketDataTask(Task):
+    def __init__(self):
+        super().__init__(
+            name="market_data_collection",
+            interval="5m"
+        )
+
+# Run every hour
+class PortfolioReportTask(Task):
+    def __init__(self):
+        super().__init__(
+            name="portfolio_report", 
+            interval="1h"
+        )
+
+# Run daily
+class BackupTask(Task):
+    def __init__(self):
+        super().__init__(
+            name="daily_backup",
+            interval="daily",
+            time="23:30"
+        )
+```
+
+**Cron-style Scheduling:**
+```python
+class WeeklyReportTask(Task):
+    def __init__(self):
+        super().__init__(
+            name="weekly_report",
+            cron="0 9 * * MON"  # Every Monday at 9 AM
+        )
+
+class MonthlyRebalanceTask(Task):
+    def __init__(self):
+        super().__init__(
+            name="monthly_rebalance",
+            cron="0 0 1 * *"  # First day of each month
+        )
+```
+
+## Common Task Examples
+
+### Market Data Collection
+
+```python
+class MarketDataCollector(Task):
+    
+    def __init__(self, symbols, data_provider):
+        super().__init__(
+            name="market_data_collector",
+            interval="1m"  # Collect every minute
+        )
+        self.symbols = symbols
+        self.data_provider = data_provider
+    
+    def run(self, algorithm):
+        """Collect market data for specified symbols"""
+        
+        for symbol in self.symbols:
+            try:
+                # Fetch latest data
+                data = self.data_provider.get_latest_data(symbol)
+                
+                # Store in database
+                algorithm.store_market_data(symbol, data)
+                
+                print(f"Collected data for {symbol}")
+                
+            except Exception as e:
+                print(f"Failed to collect data for {symbol}: {e}")
+```
+
+### Portfolio Monitoring
+
+```python
+class PortfolioMonitor(Task):
+    
+    def __init__(self, alert_manager):
+        super().__init__(
+            name="portfolio_monitor",
+            interval="5m"
+        )
+        self.alert_manager = alert_manager
+    
+    def run(self, algorithm):
+        """Monitor portfolio health and send alerts"""
+        
+        portfolio = algorithm.get_portfolio()
+        positions = algorithm.get_positions()
+        
+        # Check total portfolio value
+        total_value = portfolio.get_total_value()
+        initial_value = portfolio.get_initial_value()
+        
+        pnl_percentage = (total_value - initial_value) / initial_value * 100
+        
+        # Alert on significant changes
+        if pnl_percentage < -10:
+            self.alert_manager.send_alert(
+                f"Portfolio down {abs(pnl_percentage):.2f}%",
+                severity="WARNING"
+            )
+        elif pnl_percentage > 20:
+            self.alert_manager.send_alert(
+                f"Portfolio up {pnl_percentage:.2f}%", 
+                severity="INFO"
+            )
+        
+        # Check individual positions
+        self.check_position_alerts(positions)
+    
+    def check_position_alerts(self, positions):
+        """Check for position-specific alerts"""
+        
+        for position in positions:
+            # Alert on large positions
+            if position.current_value > 5000:
+                print(f"Large position alert: {position.symbol} = ${position.current_value:.2f}")
+```
+
+### Performance Reporting
+
+```python
+class PerformanceReporter(Task):
+    
+    def __init__(self, report_email=None):
+        super().__init__(
+            name="performance_reporter",
+            interval="daily",
+            time="18:00"  # 6 PM daily
+        )
+        self.report_email = report_email
+    
+    def run(self, algorithm):
+        """Generate and send daily performance report"""
+        
+        # Calculate daily metrics
+        daily_metrics = self.calculate_daily_metrics(algorithm)
+        
+        # Generate report
+        report = self.generate_report(daily_metrics)
+        
+        # Send report
+        if self.report_email:
+            self.send_report_email(report)
+        
+        print("Daily performance report generated")
+    
+    def calculate_daily_metrics(self, algorithm):
+        """Calculate daily performance metrics"""
+        
+        portfolio = algorithm.get_portfolio()
+        trades = algorithm.get_trades()
+        
+        # Get today's trades
+        today = datetime.now().date()
+        today_trades = [
+            t for t in trades 
+            if t.created_at.date() == today
+        ]
+        
+        metrics = {
+            "portfolio_value": portfolio.get_total_value(),
+            "daily_trades": len(today_trades),
+            "daily_volume": sum(t.cost for t in today_trades),
+            "daily_fees": sum(t.fee for t in today_trades),
+            "open_positions": len(algorithm.get_positions())
+        }
+        
+        return metrics
+    
+    def generate_report(self, metrics):
+        """Generate formatted report"""
+        
+        report = f"""
+        Daily Trading Report - {datetime.now().strftime('%Y-%m-%d')}
+        =====================================================
+        
+        Portfolio Value: ${metrics['portfolio_value']:,.2f}
+        
+        Daily Activity:
+        - Trades: {metrics['daily_trades']}
+        - Volume: ${metrics['daily_volume']:,.2f}
+        - Fees: ${metrics['daily_fees']:,.2f}
+        - Open Positions: {metrics['open_positions']}
+        
+        Generated at: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}
+        """
+        
+        return report
+```
+
+### Risk Management
+
+```python
+class RiskManager(Task):
+    
+    def __init__(self, max_drawdown=0.15, max_position_size=0.1):
+        super().__init__(
+            name="risk_manager",
+            interval="1m"  # Check risk every minute
+        )
+        self.max_drawdown = max_drawdown
+        self.max_position_size = max_position_size
+    
+    def run(self, algorithm):
+        """Monitor and enforce risk limits"""
+        
+        # Check portfolio drawdown
+        self.check_drawdown(algorithm)
+        
+        # Check position sizes
+        self.check_position_sizes(algorithm)
+        
+        # Check correlation exposure
+        self.check_correlation_risk(algorithm)
+    
+    def check_drawdown(self, algorithm):
+        """Check if portfolio drawdown exceeds limit"""
+        
+        portfolio = algorithm.get_portfolio()
+        peak_value = portfolio.get_peak_value()
+        current_value = portfolio.get_total_value()
+        
+        drawdown = (peak_value - current_value) / peak_value
+        
+        if drawdown > self.max_drawdown:
+            # Emergency risk reduction
+            self.reduce_risk(algorithm, f"Drawdown {drawdown:.2%} exceeds limit")
+    
+    def check_position_sizes(self, algorithm):
+        """Check if any position is too large"""
+        
+        portfolio = algorithm.get_portfolio()
+        positions = algorithm.get_positions()
+        total_value = portfolio.get_total_value()
+        
+        for position in positions:
+            position_weight = position.current_value / total_value
+            
+            if position_weight > self.max_position_size:
+                # Reduce oversized position
+                target_symbol = position.symbol.split('/')[0]
+                excess_percentage = position_weight - self.max_position_size
+                
+                algorithm.create_sell_order(
+                    target_symbol=target_symbol,
+                    percentage=excess_percentage / position_weight,
+                    order_type="MARKET"
+                )
+                
+                print(f"Reduced oversized position: {position.symbol}")
+    
+    def reduce_risk(self, algorithm, reason):
+        """Emergency risk reduction"""
+        
+        print(f"RISK ALERT: {reason}")
+        print("Implementing risk reduction measures...")
+        
+        # Cancel all open orders
+        algorithm.cancel_all_orders()
+        
+        # Reduce position sizes by 50%
+        positions = algorithm.get_positions()
+        for position in positions:
+            target_symbol = position.symbol.split('/')[0]
+            algorithm.create_sell_order(
+                target_symbol=target_symbol,
+                percentage=0.5,
+                order_type="MARKET"
+            )
+        
+        print("Risk reduction completed")
+```
+
+### Database Maintenance
+
+```python
+class DatabaseMaintenanceTask(Task):
+    
+    def __init__(self):
+        super().__init__(
+            name="database_maintenance",
+            interval="daily",
+            time="03:00"  # 3 AM daily
+        )
+    
+    def run(self, algorithm):
+        """Perform database maintenance tasks"""
+        
+        print("Starting database maintenance...")
+        
+        # Archive old data
+        self.archive_old_data(algorithm)
+        
+        # Optimize database
+        self.optimize_database(algorithm)
+        
+        # Backup database
+        self.backup_database(algorithm)
+        
+        print("Database maintenance completed")
+    
+    def archive_old_data(self, algorithm):
+        """Archive old market data and trades"""
+        
+        cutoff_date = datetime.now() - timedelta(days=365)
+        
+        # Archive old trades
+        old_trades = algorithm.get_trades(before_date=cutoff_date)
+        if old_trades:
+            algorithm.archive_trades(old_trades)
+            print(f"Archived {len(old_trades)} old trades")
+        
+        # Archive old market data
+        algorithm.archive_market_data(before_date=cutoff_date)
+    
+    def optimize_database(self, algorithm):
+        """Optimize database performance"""
+        
+        # Rebuild indices
+        algorithm.rebuild_database_indices()
+        
+        # Update statistics
+        algorithm.update_database_statistics()
+        
+        print("Database optimization completed")
+    
+    def backup_database(self, algorithm):
+        """Create database backup"""
+        
+        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+        backup_path = f"/backups/trading_db_backup_{timestamp}.sql"
+        
+        algorithm.backup_database(backup_path)
+        print(f"Database backed up to {backup_path}")
+```
+
+## Task Management
+
+### Task Monitoring
+
+```python
+class TaskMonitor(Task):
+    
+    def __init__(self):
+        super().__init__(
+            name="task_monitor",
+            interval="10m"
+        )
+        self.task_history = {}
+    
+    def run(self, algorithm):
+        """Monitor other tasks for failures"""
+        
+        # Get task execution history
+        task_status = algorithm.get_task_status()
+        
+        for task_name, status in task_status.items():
+            if status.get('last_error'):
+                print(f"Task {task_name} failed: {status['last_error']}")
+            
+            # Check if task is overdue
+            last_run = status.get('last_run')
+            if last_run:
+                time_since_run = datetime.now() - last_run
+                if time_since_run > timedelta(hours=2):  # Configurable threshold
+                    print(f"Task {task_name} is overdue (last run: {last_run})")
+```
+
+### Conditional Tasks
+
+```python
+class ConditionalRebalanceTask(Task):
+    
+    def __init__(self):
+        super().__init__(
+            name="conditional_rebalance",
+            interval="1h"
+        )
+    
+    def run(self, algorithm):
+        """Only rebalance if conditions are met"""
+        
+        # Check if rebalancing is needed
+        if not self.should_rebalance(algorithm):
+            return
+        
+        print("Rebalancing conditions met - executing rebalance")
+        self.execute_rebalance(algorithm)
+    
+    def should_rebalance(self, algorithm):
+        """Check if rebalancing conditions are met"""
+        
+        positions = algorithm.get_positions()
+        portfolio = algorithm.get_portfolio()
+        total_value = portfolio.get_total_value()
+        
+        # Check if any position deviates more than 5% from target
+        target_weights = {"BTC": 0.5, "ETH": 0.3, "ADA": 0.2}
+        
+        for symbol, target_weight in target_weights.items():
+            position = next(
+                (p for p in positions if p.symbol.startswith(symbol)), 
+                None
+            )
+            
+            current_weight = (position.current_value / total_value) if position else 0
+            
+            if abs(current_weight - target_weight) > 0.05:
+                return True
+        
+        return False
+    
+    def execute_rebalance(self, algorithm):
+        """Execute portfolio rebalancing"""
+        # Implementation for rebalancing logic
+        pass
+```
+
+## Best Practices
+
+### 1. Error Handling
+
+```python
+class RobustTask(Task):
+    
+    def __init__(self):
+        super().__init__(name="robust_task", interval="5m")
+        self.max_retries = 3
+        self.retry_delay = 30  # seconds
+    
+    def run(self, algorithm):
+        """Run task with error handling and retries"""
+        
+        for attempt in range(self.max_retries):
+            try:
+                self.execute_task_logic(algorithm)
+                return  # Success, exit retry loop
+                
+            except Exception as e:
+                print(f"Task attempt {attempt + 1} failed: {e}")
+                
+                if attempt < self.max_retries - 1:
+                    time.sleep(self.retry_delay)
+                else:
+                    print(f"Task failed after {self.max_retries} attempts")
+                    self.handle_task_failure(e)
+    
+    def execute_task_logic(self, algorithm):
+        """Main task logic that might fail"""
+        # Implementation here
+        pass
+    
+    def handle_task_failure(self, error):
+        """Handle permanent task failure"""
+        # Log error, send alerts, etc.
+        pass
+```
+
+### 2. Resource Management
+
+```python
+class ResourceAwareTask(Task):
+    
+    def run(self, algorithm):
+        """Task that monitors resource usage"""
+        
+        # Check system resources before running
+        if not self.has_sufficient_resources():
+            print("Insufficient resources - skipping task execution")
+            return
+        
+        # Execute task logic
+        self.execute_heavy_computation()
+    
+    def has_sufficient_resources(self):
+        """Check if system has sufficient resources"""
+        import psutil
+        
+        # Check memory usage
+        memory_percent = psutil.virtual_memory().percent
+        if memory_percent > 90:
+            return False
+        
+        # Check CPU usage
+        cpu_percent = psutil.cpu_percent(interval=1)
+        if cpu_percent > 95:
+            return False
+        
+        return True
+```
+
+### 3. Task Dependencies
+
+```python
+class DependentTask(Task):
+    
+    def __init__(self, prerequisite_tasks):
+        super().__init__(name="dependent_task", interval="1h")
+        self.prerequisite_tasks = prerequisite_tasks
+    
+    def run(self, algorithm):
+        """Only run if prerequisite tasks completed successfully"""
+        
+        # Check if prerequisites are met
+        if not self.prerequisites_met(algorithm):
+            print("Prerequisites not met - skipping task")
+            return
+        
+        # Execute task logic
+        self.execute_task(algorithm)
+    
+    def prerequisites_met(self, algorithm):
+        """Check if prerequisite tasks completed successfully"""
+        
+        task_status = algorithm.get_task_status()
+        
+        for prereq_task in self.prerequisite_tasks:
+            status = task_status.get(prereq_task, {})
+            
+            if status.get('last_error'):
+                return False
+            
+            # Check if task ran recently
+            last_run = status.get('last_run')
+            if not last_run or (datetime.now() - last_run) > timedelta(hours=2):
+                return False
+        
+        return True
+```
+
+## Next Steps
+
+Tasks provide powerful automation capabilities for your trading system. Next, learn about [Backtesting](backtesting) to test your strategies and tasks against historical data before deploying them live.
diff --git a/docusaurus/docs/Getting Started/tasks/index.html b/docusaurus/docs/Getting Started/tasks/index.html
deleted file mode 100644
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diff --git a/docusaurus/docs/Getting Started/trades.md b/docusaurus/docs/Getting Started/trades.md
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index 00000000..74d9e791
--- /dev/null
+++ b/docusaurus/docs/Getting Started/trades.md	
@@ -0,0 +1,472 @@
+---
+sidebar_position: 7
+---
+
+# Trades
+
+Understand how individual trades work and how to track trading performance.
+
+## Overview
+
+Trades represent completed transactions in your trading system. Unlike orders (which are instructions to trade) or positions (which represent holdings), trades are the actual executed transactions that move money between your cash balance and asset holdings.
+
+## Understanding Trades
+
+### Trade Lifecycle
+
+1. **Order Placed**: You create a buy or sell order
+2. **Order Executed**: The market fills your order
+3. **Trade Created**: A trade record is generated
+4. **Position Updated**: Your asset holdings are adjusted
+5. **Portfolio Updated**: Your portfolio balance reflects the trade
+
+### Trade Properties
+
+```python
+def analyze_trade(self, trade):
+    """Analyze a completed trade"""
+    
+    print(f"Trade ID: {trade.id}")
+    print(f"Symbol: {trade.target_symbol}/{trade.trading_symbol}")
+    print(f"Side: {trade.side}")  # BUY or SELL
+    print(f"Amount: {trade.amount}")
+    print(f"Price: ${trade.price:.2f}")
+    print(f"Total Cost: ${trade.cost:.2f}")
+    print(f"Fee: ${trade.fee:.2f}")
+    print(f"Timestamp: {trade.created_at}")
+    print(f"Status: {trade.status}")
+```
+
+## Accessing Trade Data
+
+### Get All Trades
+
+```python
+def review_trading_history(self, algorithm):
+    """Review all completed trades"""
+    trades = algorithm.get_trades()
+    
+    total_trades = len(trades)
+    total_volume = sum(trade.cost for trade in trades)
+    total_fees = sum(trade.fee for trade in trades)
+    
+    print(f"Total Trades: {total_trades}")
+    print(f"Total Volume: ${total_volume:.2f}")
+    print(f"Total Fees: ${total_fees:.2f}")
+    
+    return trades
+```
+
+### Filter Trades
+
+```python
+def filter_trades(self, algorithm, symbol=None, days=None):
+    """Filter trades by symbol and time period"""
+    trades = algorithm.get_trades()
+    
+    # Filter by symbol
+    if symbol:
+        trades = [t for t in trades if t.target_symbol == symbol]
+    
+    # Filter by date range
+    if days:
+        cutoff_date = datetime.now() - timedelta(days=days)
+        trades = [t for t in trades if t.created_at >= cutoff_date]
+    
+    return trades
+
+# Examples
+recent_btc_trades = self.filter_trades(algorithm, symbol="BTC", days=7)
+all_recent_trades = self.filter_trades(algorithm, days=30)
+```
+
+### Trade Statistics
+
+```python
+def calculate_trade_statistics(self, trades):
+    """Calculate trading performance statistics"""
+    
+    if not trades:
+        return {"error": "No trades found"}
+    
+    buy_trades = [t for t in trades if t.side == "BUY"]
+    sell_trades = [t for t in trades if t.side == "SELL"]
+    
+    stats = {
+        "total_trades": len(trades),
+        "buy_trades": len(buy_trades),
+        "sell_trades": len(sell_trades),
+        "total_volume": sum(t.cost for t in trades),
+        "total_fees": sum(t.fee for t in trades),
+        "average_trade_size": sum(t.cost for t in trades) / len(trades),
+        "largest_trade": max(t.cost for t in trades),
+        "smallest_trade": min(t.cost for t in trades),
+    }
+    
+    return stats
+```
+
+## Trade Performance Analysis
+
+### Profit and Loss Tracking
+
+```python
+class TradeAnalyzer:
+    def __init__(self, algorithm):
+        self.algorithm = algorithm
+    
+    def match_buy_sell_trades(self, symbol):
+        """Match buy and sell trades to calculate P&L"""
+        trades = self.algorithm.get_trades()
+        symbol_trades = [t for t in trades if t.target_symbol == symbol]
+        
+        # Separate buy and sell trades
+        buys = [t for t in symbol_trades if t.side == "BUY"]
+        sells = [t for t in symbol_trades if t.side == "SELL"]
+        
+        # Sort by timestamp
+        buys.sort(key=lambda x: x.created_at)
+        sells.sort(key=lambda x: x.created_at)
+        
+        return self._calculate_fifo_pnl(buys, sells)
+    
+    def _calculate_fifo_pnl(self, buys, sells):
+        """Calculate P&L using FIFO method"""
+        realized_pnl = 0
+        buy_queue = [(trade.amount, trade.price) for trade in buys]
+        
+        for sell_trade in sells:
+            sell_amount = sell_trade.amount
+            sell_price = sell_trade.price
+            
+            while sell_amount > 0 and buy_queue:
+                buy_amount, buy_price = buy_queue[0]
+                
+                # Calculate trade quantity
+                trade_qty = min(sell_amount, buy_amount)
+                
+                # Calculate P&L for this portion
+                pnl = trade_qty * (sell_price - buy_price)
+                realized_pnl += pnl
+                
+                # Update amounts
+                sell_amount -= trade_qty
+                buy_queue[0] = (buy_amount - trade_qty, buy_price)
+                
+                # Remove empty buy order
+                if buy_queue[0][0] == 0:
+                    buy_queue.pop(0)
+        
+        return realized_pnl
+```
+
+### Win Rate Analysis
+
+```python
+def calculate_win_rate(self, algorithm, symbol):
+    """Calculate win rate for a specific symbol"""
+    analyzer = TradeAnalyzer(algorithm)
+    
+    # Get all completed round trips (buy-sell pairs)
+    round_trips = analyzer.get_round_trip_trades(symbol)
+    
+    if not round_trips:
+        return {"error": "No completed round trips found"}
+    
+    winning_trades = [rt for rt in round_trips if rt['pnl'] > 0]
+    losing_trades = [rt for rt in round_trips if rt['pnl'] < 0]
+    
+    win_rate = len(winning_trades) / len(round_trips) * 100
+    
+    avg_win = sum(rt['pnl'] for rt in winning_trades) / len(winning_trades) if winning_trades else 0
+    avg_loss = sum(rt['pnl'] for rt in losing_trades) / len(losing_trades) if losing_trades else 0
+    
+    return {
+        "total_round_trips": len(round_trips),
+        "winning_trades": len(winning_trades),
+        "losing_trades": len(losing_trades),
+        "win_rate": win_rate,
+        "average_win": avg_win,
+        "average_loss": avg_loss,
+        "profit_factor": abs(avg_win / avg_loss) if avg_loss != 0 else float('inf')
+    }
+```
+
+## Trade Monitoring
+
+### Real-time Trade Tracking
+
+```python
+class TradeMonitor:
+    def __init__(self):
+        self.last_trade_count = 0
+    
+    def check_new_trades(self, algorithm):
+        """Check for new trades and log them"""
+        current_trades = algorithm.get_trades()
+        current_count = len(current_trades)
+        
+        if current_count > self.last_trade_count:
+            # New trades detected
+            new_trades = current_trades[self.last_trade_count:]
+            
+            for trade in new_trades:
+                self.log_new_trade(trade)
+            
+            self.last_trade_count = current_count
+    
+    def log_new_trade(self, trade):
+        """Log details of a new trade"""
+        side_emoji = "🟢" if trade.side == "BUY" else "🔴"
+        
+        print(f"{side_emoji} NEW TRADE:")
+        print(f"   Symbol: {trade.target_symbol}")
+        print(f"   Side: {trade.side}")
+        print(f"   Amount: {trade.amount}")
+        print(f"   Price: ${trade.price:.2f}")
+        print(f"   Total: ${trade.cost:.2f}")
+        print(f"   Fee: ${trade.fee:.2f}")
+        print(f"   Time: {trade.created_at}")
+        print("-" * 40)
+```
+
+### Trade Alerts
+
+```python
+class TradeAlertSystem:
+    def __init__(self, alert_manager):
+        self.alert_manager = alert_manager
+        self.thresholds = {
+            "large_trade_amount": 1000,  # Alert for trades > $1000
+            "high_fee_percentage": 0.005,  # Alert for fees > 0.5%
+            "rapid_trading": 5  # Alert if more than 5 trades in 1 minute
+        }
+    
+    def check_trade_alerts(self, trade):
+        """Check if trade triggers any alerts"""
+        
+        # Large trade alert
+        if trade.cost > self.thresholds["large_trade_amount"]:
+            self.alert_manager.send_alert(
+                f"Large trade executed: {trade.target_symbol} "
+                f"${trade.cost:.2f}",
+                severity="INFO"
+            )
+        
+        # High fee alert
+        fee_percentage = trade.fee / trade.cost if trade.cost > 0 else 0
+        if fee_percentage > self.thresholds["high_fee_percentage"]:
+            self.alert_manager.send_alert(
+                f"High fee trade: {trade.target_symbol} "
+                f"fee {fee_percentage:.3%}",
+                severity="WARNING"
+            )
+```
+
+## Trade Reporting
+
+### Daily Trading Summary
+
+```python
+def generate_daily_summary(self, algorithm, date=None):
+    """Generate daily trading summary"""
+    
+    if date is None:
+        date = datetime.now().date()
+    
+    # Get trades for the day
+    start_of_day = datetime.combine(date, datetime.min.time())
+    end_of_day = datetime.combine(date, datetime.max.time())
+    
+    daily_trades = [
+        t for t in algorithm.get_trades()
+        if start_of_day <= t.created_at <= end_of_day
+    ]
+    
+    if not daily_trades:
+        return f"No trades on {date}"
+    
+    # Calculate summary statistics
+    total_volume = sum(t.cost for t in daily_trades)
+    total_fees = sum(t.fee for t in daily_trades)
+    unique_symbols = set(t.target_symbol for t in daily_trades)
+    
+    summary = f"""
+    Daily Trading Summary - {date}
+    {'='*40}
+    Total Trades: {len(daily_trades)}
+    Total Volume: ${total_volume:.2f}
+    Total Fees: ${total_fees:.2f}
+    Symbols Traded: {', '.join(unique_symbols)}
+    Average Trade Size: ${total_volume/len(daily_trades):.2f}
+    Fee Rate: {(total_fees/total_volume)*100:.3f}%
+    """
+    
+    return summary
+```
+
+### Trade Export
+
+```python
+import pandas as pd
+
+def export_trades_to_csv(self, algorithm, filename="trades.csv"):
+    """Export trades to CSV file"""
+    trades = algorithm.get_trades()
+    
+    # Convert to pandas DataFrame
+    trade_data = []
+    for trade in trades:
+        trade_data.append({
+            'id': trade.id,
+            'timestamp': trade.created_at,
+            'symbol': f"{trade.target_symbol}/{trade.trading_symbol}",
+            'side': trade.side,
+            'amount': trade.amount,
+            'price': trade.price,
+            'cost': trade.cost,
+            'fee': trade.fee,
+            'status': trade.status
+        })
+    
+    df = pd.DataFrame(trade_data)
+    df.to_csv(filename, index=False)
+    
+    print(f"Exported {len(trades)} trades to {filename}")
+    return df
+```
+
+## Advanced Trade Analysis
+
+### Trade Timing Analysis
+
+```python
+def analyze_trade_timing(self, algorithm, symbol):
+    """Analyze timing patterns in trades"""
+    trades = [t for t in algorithm.get_trades() if t.target_symbol == symbol]
+    
+    if len(trades) < 2:
+        return "Insufficient data for timing analysis"
+    
+    # Calculate time between trades
+    trade_intervals = []
+    for i in range(1, len(trades)):
+        interval = trades[i].created_at - trades[i-1].created_at
+        trade_intervals.append(interval.total_seconds())
+    
+    avg_interval = sum(trade_intervals) / len(trade_intervals)
+    min_interval = min(trade_intervals)
+    max_interval = max(trade_intervals)
+    
+    return {
+        "average_interval_seconds": avg_interval,
+        "min_interval_seconds": min_interval,
+        "max_interval_seconds": max_interval,
+        "total_trades": len(trades),
+        "trading_period_days": (trades[-1].created_at - trades[0].created_at).days
+    }
+```
+
+### Trade Size Distribution
+
+```python
+import matplotlib.pyplot as plt
+
+def plot_trade_size_distribution(self, algorithm):
+    """Plot distribution of trade sizes"""
+    trades = algorithm.get_trades()
+    trade_sizes = [t.cost for t in trades]
+    
+    plt.figure(figsize=(10, 6))
+    plt.hist(trade_sizes, bins=20, edgecolor='black', alpha=0.7)
+    plt.title('Trade Size Distribution')
+    plt.xlabel('Trade Size ($)')
+    plt.ylabel('Frequency')
+    plt.grid(True, alpha=0.3)
+    
+    # Add statistics
+    avg_size = sum(trade_sizes) / len(trade_sizes)
+    plt.axvline(avg_size, color='red', linestyle='--', 
+                label=f'Average: ${avg_size:.2f}')
+    plt.legend()
+    
+    plt.tight_layout()
+    plt.show()
+```
+
+## Best Practices
+
+### 1. Trade Validation
+
+```python
+def validate_trade_execution(self, expected_trade, actual_trade):
+    """Validate that trade executed as expected"""
+    
+    tolerance = 0.01  # 1% tolerance for price differences
+    
+    checks = {
+        "symbol_match": expected_trade.symbol == actual_trade.target_symbol,
+        "side_match": expected_trade.side == actual_trade.side,
+        "amount_match": abs(expected_trade.amount - actual_trade.amount) < 0.001,
+        "price_reasonable": abs(expected_trade.price - actual_trade.price) / expected_trade.price < tolerance
+    }
+    
+    if not all(checks.values()):
+        print(f"Trade validation failed: {checks}")
+        return False
+    
+    return True
+```
+
+### 2. Trade Reconciliation
+
+```python
+def reconcile_trades_with_exchange(self, algorithm, exchange):
+    """Reconcile internal trades with exchange records"""
+    
+    internal_trades = algorithm.get_trades()
+    exchange_trades = exchange.fetch_my_trades()
+    
+    # Compare trade counts and totals
+    internal_count = len(internal_trades)
+    exchange_count = len(exchange_trades)
+    
+    if internal_count != exchange_count:
+        print(f"Trade count mismatch: Internal={internal_count}, Exchange={exchange_count}")
+    
+    # Compare total volumes
+    internal_volume = sum(t.cost for t in internal_trades)
+    exchange_volume = sum(t['cost'] for t in exchange_trades)
+    
+    if abs(internal_volume - exchange_volume) > 1.0:  # $1 tolerance
+        print(f"Volume mismatch: Internal=${internal_volume:.2f}, Exchange=${exchange_volume:.2f}")
+```
+
+### 3. Trade History Maintenance
+
+```python
+def archive_old_trades(self, algorithm, days_to_keep=365):
+    """Archive trades older than specified days"""
+    
+    cutoff_date = datetime.now() - timedelta(days=days_to_keep)
+    all_trades = algorithm.get_trades()
+    
+    old_trades = [t for t in all_trades if t.created_at < cutoff_date]
+    recent_trades = [t for t in all_trades if t.created_at >= cutoff_date]
+    
+    if old_trades:
+        # Export old trades before archiving
+        self.export_trades_to_csv(
+            old_trades, 
+            f"archived_trades_{cutoff_date.strftime('%Y%m%d')}.csv"
+        )
+        
+        # Remove from active database (implementation specific)
+        algorithm.archive_trades(old_trades)
+        
+        print(f"Archived {len(old_trades)} old trades")
+```
+
+## Next Steps
+
+Understanding trades is crucial for performance analysis and strategy optimization. Next, learn about [Tasks](tasks) to automate trade analysis and reporting processes.
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class="breadcrumbs__link">Getting Started</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Trades</span><meta itemprop="position" content="2"></li></ul></nav><div class="theme-doc-markdown markdown"><h1>Trades</h1></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/investing-algorithm-framework/Getting Started/positions"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Positions</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/investing-algorithm-framework/Getting Started/tasks"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Tasks</div></a></nav></div></div></div></div></main></div></div><footer class="footer footer--dark"><div class="container container-fluid"><div class="row footer__links"><div class="col footer__col"><div class="footer__title">Docs</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/investing-algorithm-framework/intro">Tutorial</a></li></ul></div><div class="col footer__col"><div class="footer__title">Community</div><ul class="footer__items clean-list"><li class="footer__item"><a href="https://stackoverflow.com/questions/tagged/investing-algorithm-framework" target="_blank" rel="noopener noreferrer" class="footer__link-item">Stack Overflow<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div><div class="col footer__col"><div class="footer__title">More</div><ul class="footer__items clean-list"><li class="footer__item"><a class="footer__link-item" href="/investing-algorithm-framework/blog">Blog</a></li><li class="footer__item"><a href="https://github.com/facebook/docusaurus" target="_blank" rel="noopener noreferrer" class="footer__link-item">GitHub<svg width="13.5" height="13.5" aria-hidden="true" viewBox="0 0 24 24" class="iconExternalLink_nPIU"><path fill="currentColor" d="M21 13v10h-21v-19h12v2h-10v15h17v-8h2zm3-12h-10.988l4.035 4-6.977 7.07 2.828 2.828 6.977-7.07 4.125 4.172v-11z"></path></svg></a></li></ul></div></div><div class="footer__bottom text--center"><div class="footer__copyright">Copyright © 2025 Investing algorithm framework. Built by Coding Kitties</div></div></div></footer></div>
-<script src="/investing-algorithm-framework/assets/js/runtime~main.af220a58.js"></script>
-<script src="/investing-algorithm-framework/assets/js/main.628f15e7.js"></script>
-</body>
-</html>
\ No newline at end of file
diff --git a/docusaurus/docs/introduction.md b/docusaurus/docs/introduction.md
new file mode 100644
index 00000000..891519fa
--- /dev/null
+++ b/docusaurus/docs/introduction.md
@@ -0,0 +1,50 @@
+---
+sidebar_position: 1
+slug: /
+---
+
+# Introduction
+
+Welcome to the Investing Algorithm Framework documentation! This framework provides a comprehensive platform for creating, testing, and deploying algorithmic trading strategies.
+
+## What is the Investing Algorithm Framework?
+
+The Investing Algorithm Framework is a Python-based library designed to help developers and traders build sophisticated algorithmic trading systems. It provides:
+
+- **Strategy Development**: Tools for creating and implementing trading strategies
+- **Backtesting**: Comprehensive backtesting capabilities with both event-based and vector-based approaches  
+- **Data Management**: Integration with multiple data sources and providers
+- **Order Management**: Advanced order execution and portfolio management
+- **Performance Analysis**: Detailed analytics and metrics for strategy evaluation
+- **Deployment**: Production-ready deployment capabilities
+
+## Key Features
+
+### 📈 Strategy Framework
+Build trading strategies using our flexible strategy framework that supports various trading approaches.
+
+### 🔄 Backtesting Engine
+Test your strategies against historical data using our powerful backtesting engine with realistic market simulation.
+
+### 📊 Data Integration
+Connect to multiple data sources including cryptocurrencies, stocks, and other financial instruments.
+
+### ⚡ Performance Optimized
+Built for performance with efficient data processing and strategy execution.
+
+### 🛠 Production Ready
+Deploy your strategies in production environments with confidence.
+
+## Getting Started
+
+Ready to start building your first trading algorithm? Head over to our [Installation Guide](Getting%20Started/installation) to get up and running in minutes!
+
+## Community & Support
+
+- **GitHub**: [investing-algorithm-framework](https://github.com/coding-kitties/investing-algorithm-framework)
+- **Issues**: Report bugs or request features on GitHub Issues
+- **Discussions**: Join the community discussions
+
+---
+
+Let's dive in and start building your algorithmic trading system!
diff --git a/docusaurus/sidebar.js b/docusaurus/sidebar.js
index 9774157e..cb9118c8 100644
--- a/docusaurus/sidebar.js
+++ b/docusaurus/sidebar.js
@@ -9,6 +9,10 @@ const sidebars = {
                     type: 'doc',
                     id: 'Getting Started/installation',
                 },
+                {
+                    type: 'doc',
+                    id: 'Getting Started/simple-example',
+                },
                 {
                     type: 'doc',
                     id: 'Getting Started/application-setup',

From afa5ab1d85a784a63246d7675eff4dbbe34df617 Mon Sep 17 00:00:00 2001
From: marcvanduyn <marcvanduyn1@gmail.com>
Date: Sun, 28 Dec 2025 10:52:21 +0100
Subject: [PATCH 2/6] Fix algorithm id reference

---
 examples/bitvavo_trading_bot.py  | 2 +-
 examples/coinbase_trading_bot.py | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/bitvavo_trading_bot.py b/examples/bitvavo_trading_bot.py
index ab89d486..c9d57313 100644
--- a/examples/bitvavo_trading_bot.py
+++ b/examples/bitvavo_trading_bot.py
@@ -21,7 +21,7 @@
 
 # Define your bitvavo trading strategy and register the data sources
 class BitvavoTradingStrategy(TradingStrategy):
-    id = "bitvavo-trading-strategy"
+    algorithm_id = "bitvavo-trading-strategy"
     time_unit = TimeUnit.SECOND
     interval = 10
     data_sources = [
diff --git a/examples/coinbase_trading_bot.py b/examples/coinbase_trading_bot.py
index ecf7c7b5..0ec41f0a 100644
--- a/examples/coinbase_trading_bot.py
+++ b/examples/coinbase_trading_bot.py
@@ -17,7 +17,7 @@
 
 # Define your coinbase trading strategy and register the data sources
 class CoinbaseTradingStrategy(TradingStrategy):
-    id = "coinbase-trading-strategy"
+    algorithm_id = "coinbase-trading-strategy"
     time_unit = TimeUnit.SECOND
     interval = 10
     data_sources = [

From 6e68f0fc6a28498f1888adda4b432071759c4c2d Mon Sep 17 00:00:00 2001
From: marcvanduyn <marcvanduyn1@gmail.com>
Date: Sun, 28 Dec 2025 10:52:49 +0100
Subject: [PATCH 3/6] Fix docs description

---
 investing_algorithm_framework/app/strategy.py | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/investing_algorithm_framework/app/strategy.py b/investing_algorithm_framework/app/strategy.py
index 18a42514..2af6956c 100644
--- a/investing_algorithm_framework/app/strategy.py
+++ b/investing_algorithm_framework/app/strategy.py
@@ -16,7 +16,12 @@ class TradingStrategy:
     strategy is a set of rules that defines when to buy or sell an asset.
 
     Attributes:
-        id (string): the unique id for your combined strategy instances
+        algorithm_id (string): the unique id for your
+            combined strategy instances. An algorithm consists out of one or
+            more strategy instances that run together. The algorithm_id
+            is used to uniquely indentify the combined strategy instances.
+            This is id is used in various places in the framework, e.g. for
+            backtesting results, logging, monitoring etc.
         time_unit (TimeUnit): the time unit of the strategy that defines
             when the strategy should run e.g. HOUR, DAY, WEEK, MONTH
         interval (int): the interval of the strategy that defines how often
@@ -34,7 +39,7 @@ class TradingStrategy:
             store additional information about the strategy, such as its
             author, version, description, params etc.
     """
-    id: str
+    algorithm_id: str
     time_unit: TimeUnit = None
     interval: int = None
     worker_id: str = None

From cfb2ef20e283b88417476f1ec365e166a1931eb6 Mon Sep 17 00:00:00 2001
From: marcvanduyn <marcvanduyn1@gmail.com>
Date: Sun, 28 Dec 2025 10:53:06 +0100
Subject: [PATCH 4/6] Fix return type typehint

---
 investing_algorithm_framework/app/context.py | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)

diff --git a/investing_algorithm_framework/app/context.py b/investing_algorithm_framework/app/context.py
index ba746b90..1607c1db 100644
--- a/investing_algorithm_framework/app/context.py
+++ b/investing_algorithm_framework/app/context.py
@@ -1196,11 +1196,10 @@ def get_trade(
         portfolio=None,
         status=None,
         order_id=None
-    ) -> List[Trade]:
+    ) -> Trade:
         """
-        Function to get all trades. This function will return all trades
-        that match the specified query parameters. If the market parameter
-        is specified, the trades with the specified market will be returned.
+        Function to retrieve a trade. This function will return the first
+        trade that matches the specified query parameters.
 
         Args:
             market: The market of the asset
@@ -1211,7 +1210,7 @@ def get_trade(
             trading_symbol: The trading symbol of the asset
 
         Returns:
-            List[Trade]: A list of trades that match the query parameters
+            Trade: A instance of a trade that matches the query parameters
         """
         query_params = {}
 

From 2c4bd0445db38c428bbe09a034a0e5d1ddcdcb8e Mon Sep 17 00:00:00 2001
From: marcvanduyn <marcvanduyn1@gmail.com>
Date: Mon, 29 Dec 2025 11:23:18 +0100
Subject: [PATCH 5/6] Remove unused examples

---
 ...O_1d_2022-01-01-00-00_2024-12-31-00-00.csv | 1097 --
 .../resources/backtest_results/metrics.json   | 9145 -----------------
 .../resources/backtest_results/results.json   | 4613 ---------
 .../strategies/strategy_v1.py                 |  188 -
 ...O_4h_2021-11-28-16-00_2024-01-01-00-00.csv | 4582 ---------
 ...O_4h_2021-12-02-16-00_2024-01-05-00-00.csv | 4582 ---------
 ...O_4h_2022-11-14-16-00_2024-12-17-00-00.csv | 4582 ---------
 examples/backtest_example/run_backtest.ipynb  | 6302 ------------
 .../strategies/strategy_v1/strategy_v1.py     |  188 -
 examples/example_strategies/README.md         |    0
 .../adx_rsi_divergence/primary.py             |  151 -
 .../example_strategies/macd_wr/macd_wr.ipynb  |  836 --
 .../example_strategies/macd_wr/strategy.py    |  224 -
 13 files changed, 36490 deletions(-)
 delete mode 100644 examples/backtest_example/resources/backtest_data/OHLCV_BTC-EUR_BITVAVO_1d_2022-01-01-00-00_2024-12-31-00-00.csv
 delete mode 100644 examples/backtest_example/resources/backtest_results/metrics.json
 delete mode 100644 examples/backtest_example/resources/backtest_results/results.json
 delete mode 100644 examples/backtest_example/resources/backtest_results/strategies/strategy_v1.py
 delete mode 100644 examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2021-11-28-16-00_2024-01-01-00-00.csv
 delete mode 100644 examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2021-12-02-16-00_2024-01-05-00-00.csv
 delete mode 100644 examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2022-11-14-16-00_2024-12-17-00-00.csv
 delete mode 100644 examples/backtest_example/run_backtest.ipynb
 delete mode 100644 examples/backtest_example/strategies/strategy_v1/strategy_v1.py
 delete mode 100644 examples/example_strategies/README.md
 delete mode 100644 examples/example_strategies/adx_rsi_divergence/primary.py
 delete mode 100644 examples/example_strategies/macd_wr/macd_wr.ipynb
 delete mode 100644 examples/example_strategies/macd_wr/strategy.py

diff --git a/examples/backtest_example/resources/backtest_data/OHLCV_BTC-EUR_BITVAVO_1d_2022-01-01-00-00_2024-12-31-00-00.csv b/examples/backtest_example/resources/backtest_data/OHLCV_BTC-EUR_BITVAVO_1d_2022-01-01-00-00_2024-12-31-00-00.csv
deleted file mode 100644
index 29028c61..00000000
--- a/examples/backtest_example/resources/backtest_data/OHLCV_BTC-EUR_BITVAVO_1d_2022-01-01-00-00_2024-12-31-00-00.csv
+++ /dev/null
@@ -1,1097 +0,0 @@
-Datetime,Open,High,Low,Close,Volume
-2022-01-01T00:00:00.000+0000,40679.0,42166.0,40640.0,42034.0,227.90805361
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diff --git a/examples/backtest_example/resources/backtest_results/metrics.json b/examples/backtest_example/resources/backtest_results/metrics.json
deleted file mode 100644
index 8ab783a0..00000000
--- a/examples/backtest_example/resources/backtest_results/metrics.json
+++ /dev/null
@@ -1,9145 +0,0 @@
-{
-    "backtest_start_date": "2022-12-18T00:00:00+00:00",
-    "backtest_end_date": "2024-12-17T00:00:00+00:00",
-    "equity_curve": [
-        [
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-            "2022-12-18T00:00:00+00:00"
-        ],
-        [
-            1000.0,
-            "2022-12-19T00:00:00+00:00"
-        ],
-        [
-            1000.0,
-            "2022-12-20T00:00:00+00:00"
-        ],
-        [
-            1000.0,
-            "2022-12-21T00:00:00+00:00"
-        ],
-        [
-            1000.0,
-            "2022-12-22T00:00:00+00:00"
-        ],
-        [
-            1000.0,
-            "2022-12-23T00:00:00+00:00"
-        ],
-        [
-            1000.0,
-            "2022-12-24T00:00:00+00:00"
-        ],
-        [
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-            "2022-12-25T00:00:00+00:00"
-        ],
-        [
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-            "2022-12-26T00:00:00+00:00"
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-        [
-            1000.0,
-            "2022-12-27T00:00:00+00:00"
-        ],
-        [
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-            "2022-12-28T00:00:00+00:00"
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-            "2022-12-29T00:00:00+00:00"
-        ],
-        [
-            1000.0,
-            "2022-12-30T00:00:00+00:00"
-        ],
-        [
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-            "2022-12-31T00:00:00+00:00"
-        ],
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-            "2023-01-01T00:00:00+00:00"
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-            "2023-01-02T00:00:00+00:00"
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-    "average_monthly_return_losing_months": -0.029738894934784488,
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-    ]
-}
\ No newline at end of file
diff --git a/examples/backtest_example/resources/backtest_results/results.json b/examples/backtest_example/resources/backtest_results/results.json
deleted file mode 100644
index 9d67b66e..00000000
--- a/examples/backtest_example/resources/backtest_results/results.json
+++ /dev/null
@@ -1,4613 +0,0 @@
-{
-    "name": "EMACrossoverRSIStrategy",
-    "backtest_date_range_identifier": "UpTurn",
-    "backtest_start_date": "2022-12-18 00:00:00",
-    "backtest_end_date": "2024-12-17 00:00:00",
-    "number_of_runs": 8761,
-    "symbols": [],
-    "number_of_days": 730,
-    "number_of_orders": 17,
-    "number_of_positions": 2,
-    "percentage_positive_trades": 66.66666666666666,
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-    "number_of_trades_closed": 5,
-    "number_of_trades_open": 1,
-    "total_cost": 7235.565967798317,
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-    "initial_unallocated": 1000.0,
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-    "average_trade_duration": 1074.0,
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-    "trades": [
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-        }
-    ],
-    "created_at": "2025-08-06 19:06:43"
-}
\ No newline at end of file
diff --git a/examples/backtest_example/resources/backtest_results/strategies/strategy_v1.py b/examples/backtest_example/resources/backtest_results/strategies/strategy_v1.py
deleted file mode 100644
index 377e9bbc..00000000
--- a/examples/backtest_example/resources/backtest_results/strategies/strategy_v1.py
+++ /dev/null
@@ -1,188 +0,0 @@
-from typing import Dict, Any, List
-
-from datetime import timedelta
-import polars as pl
-
-from pyindicators import ema, crossover, crossunder, rsi
-
-from investing_algorithm_framework import TradingStrategy, Context, TradeRiskType
-
-
-class EMACrossoverRSIStrategy(TradingStrategy):
-    """
-    This is an example strategy that use the EMA Crossover and RSI indicators
-    to generate buy and sell signals. It uses the EMA Crossover to determine
-    the trend direction and the RSI to identify overbought and oversold conditions.
-
-    This strategy implements both vectorized and non-vectorized methods for
-    generating buy and sell signals. This strategy can therefore be used in
-    both the vectorized and event-basesd backtest engines of the framework.
-
-    Args:
-        time_unit (str): The time unit for the strategy (e.g., "HOUR", "MINUTE").
-        interval (int): The interval for the strategy.
-        market (str): The market to trade on (e.g., "binance").
-        symbols (List[str]): List of symbols to trade.
-        data_sources (List[DataSource]): List of DataSource instances.
-        ema_time_frame (str): Time frame for the EMA indicator.
-        ema_short_period (int): Short period for the EMA indicator.
-        ema_long_period (int): Long period for the EMA indicator.
-        rsi_time_frame (str): Time frame for the RSI indicator.
-        rsi_period (int): Period for the RSI indicator.
-        rsi_oversold_threshold (float): Oversold threshold for RSI.
-        rsi_overbought_threshold (float): Overbought threshold for RSI.
-        alignment_window_size (int): Size of the alignment window in minutes
-    """
-
-    def __init__(
-        self,
-        time_unit,
-        interval,
-        market,
-        symbols: List[str],
-        data_sources,
-        ema_short_period,
-        ema_long_period,
-        rsi_period,
-        rsi_oversold_threshold,
-        rsi_overbought_threshold,
-        alignment_window_size,
-        trailing_stop_loss_percentage=5,
-        trailing_take_profit_percentage=10,
-        position_sizes: Dict[str, float] = None
-    ):
-        super().__init__(time_unit=time_unit, interval=interval)
-        self.data_sources = data_sources
-        self.ema_short_period = ema_short_period
-        self.ema_long_period = ema_long_period
-        self.rsi_period = rsi_period
-        self.symbols = symbols
-        self.alignment_window_size = alignment_window_size
-        self.rsi_oversold_threshold = rsi_oversold_threshold
-        self.rsi_overbought_threshold = rsi_overbought_threshold
-        self.market = market
-        self.trailing_stop_loss_percentage = trailing_stop_loss_percentage
-        self.trailing_take_profit_percentage = trailing_take_profit_percentage
-        self.position_sizes = position_sizes
-
-        if self.position_sizes is None:
-            self.position_sizes = {symbol: ((100 / len(self.symbols)) - 2) for symbol in self.symbols}
-
-    def get_position_size(self, symbol: str) -> float:
-        """
-        Get the position size for a given symbol.
-        If the symbol is not in the position sizes, return 0.
-        """
-        return self.position_sizes.get(symbol, 0)
-
-    def run_strategy(self, context: Context, data: Dict[str, Any]):
-
-        for symbol in self.symbols:
-            target_symbol = symbol.split("/")[0]
-
-            # Skip if the symbol if there are open orders
-            if context.has_open_orders(target_symbol):
-                continue
-
-            data_id = f"OHLCV_{symbol}"
-            data = data.get(data_id, None)
-
-            # Check if the polars DataFrame is empty
-            if data.is_empty():
-                continue
-
-            data = ema(
-                data,
-                source_column="Close",
-                period=self.ema_short_period,
-                result_column=f"ema_short"
-            )
-            data = ema(
-                data,
-                source_column="Close",
-                period=self.ema_long_period,
-                result_column=f"ema_long"
-            )
-            data = crossunder(
-                data,
-                first_column=f"ema_short",
-                second_column=f"ema_long",
-                result_column="ema_crossunder"
-            )
-            data = crossover(
-                data,
-                first_column=f"ema_short",
-                second_column=f"ema_long",
-                result_column="ema_crossover"
-            )
-            data = rsi(
-                data,
-                source_column="Close",
-                period=self.rsi_period,
-                result_column="rsi"
-            )
-
-            if context.has_position(target_symbol):
-
-                if self.is_sell_signal(data):
-                    context.close_position(
-                        symbol=target_symbol,
-                    )
-            else:
-
-                if self.is_buy_signal(data):
-                    # Get the last price of the polar DataFrame
-                    price = data["Close"][-1]
-                    order = context.create_limit_buy_order(
-                        target_symbol=target_symbol,
-                        price=price,
-                        percentage_of_portfolio=self.get_position_size(symbol),
-                    )
-                    trade = context.get_trade(order_id=order.id)
-                    context.add_stop_loss(
-                        trade,
-                        percentage=self.trailing_stop_loss_percentage,
-                        trade_risk_type=TradeRiskType.TRAILING,
-                        sell_percentage=50
-                    )
-                    context.add_take_profit(
-                        trade,
-                        percentage=self.trailing_take_profit_percentage,
-                        trade_risk_type=TradeRiskType.TRAILING,
-                        sell_percentage=50
-                    )
-
-    def is_sell_signal(self, data: pl.DataFrame) -> bool:
-        """
-        A sell signal occurs if a 'ema_crossunder' just occurred in the latest row,
-        and the max RSI in the alignment window is above the overbought threshold.
-        """
-        if data.is_empty() or "ema_crossunder" not in data.columns:
-            return False
-
-        last_row = data.slice(-1, 1).to_dicts()[0]
-        if last_row["ema_crossunder"] != 1:
-            return False
-
-        window = data.slice(-self.alignment_window_size, self.alignment_window_size)
-        rsi_above_threshold = window["rsi"].max() > self.rsi_overbought_threshold
-
-        return rsi_above_threshold
-
-
-    def is_buy_signal(self, data: pl.DataFrame) -> bool:
-        """
-        A buy signal occurs if an 'ema_crossover' just occurred in the latest row,
-        and the min RSI in the alignment window is below the oversold threshold.
-        """
-        if data.is_empty() or "ema_crossover" not in data.columns:
-            return False
-
-        last_row = data.slice(-1, 1).to_dicts()[0]
-        if last_row["ema_crossover"] != 1:
-            return False
-
-        window = data.slice(-self.alignment_window_size, self.alignment_window_size)
-        rsi_below_threshold = window["rsi"].min() < self.rsi_oversold_threshold
-
-        return rsi_below_threshold
diff --git a/examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2021-11-28-16-00_2024-01-01-00-00.csv b/examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2021-11-28-16-00_2024-01-01-00-00.csv
deleted file mode 100644
index 0f4473a4..00000000
--- a/examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2021-11-28-16-00_2024-01-01-00-00.csv
+++ /dev/null
@@ -1,4582 +0,0 @@
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diff --git a/examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2021-12-02-16-00_2024-01-05-00-00.csv b/examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2021-12-02-16-00_2024-01-05-00-00.csv
deleted file mode 100644
index 9b244f8d..00000000
--- a/examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2021-12-02-16-00_2024-01-05-00-00.csv
+++ /dev/null
@@ -1,4582 +0,0 @@
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diff --git a/examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2022-11-14-16-00_2024-12-17-00-00.csv b/examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2022-11-14-16-00_2024-12-17-00-00.csv
deleted file mode 100644
index 03f17fc6..00000000
--- a/examples/backtest_example/resources/data/OHLCV_BTC-EUR_BITVAVO_4h_2022-11-14-16-00_2024-12-17-00-00.csv
+++ /dev/null
@@ -1,4582 +0,0 @@
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diff --git a/examples/backtest_example/run_backtest.ipynb b/examples/backtest_example/run_backtest.ipynb
deleted file mode 100644
index 3b648f3d..00000000
--- a/examples/backtest_example/run_backtest.ipynb
+++ /dev/null
@@ -1,6302 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "4f24ab21",
-   "metadata": {},
-   "source": [
-    "## Backtest Pipeline Example\n",
-    "In this example, we will run a full backtest pipeline for a trading strategy.\n",
-    "\n",
-    "### Steps:\n",
-    "\n",
-    "1. Download a insample dataset to detect backtest date ranges\n",
-    "2. Run strategy over each range and save results\n",
-    "3. Show results in a backtest report"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b244f8b2",
-   "metadata": {},
-   "source": [
-    "## Setup constants for backtesting"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "54ea1cd2",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from datetime import datetime, timezone\n",
-    "from investing_algorithm_framework import BacktestDateRange\n",
-    "\n",
-    "# Constants\n",
-    "STRATEGY_NAME = 'StrategyV1'\n",
-    "DATA_STORAGE_PATH = \"./resources/backtest_data\"\n",
-    "BACKTEST_RESULTS_STORAGE_PATH = \"./resources/backtest_results\"\n",
-    "MARKET = \"BITVAVO\"\n",
-    "RISK_FREE_RATE = 0.027  # Example risk-free rate, adjust as needed\n",
-    "WINDOW_SIZE = 200  # Example window size, adjust as needed\n",
-    "\n",
-    "# Asset constants\n",
-    "ASSETS = [\"BTC/EUR\"]\n",
-    "\n",
-    "# Time range constants\n",
-    "insample_date_range = BacktestDateRange(\n",
-    "    start_date=datetime(2022, 1, 1, tzinfo=timezone.utc),\n",
-    "    end_date=datetime(2024, 12, 31, tzinfo=timezone.utc),\n",
-    ")\n",
-    "\n",
-    "strategy_params = {\n",
-    "    'ema_short_period': 50,\n",
-    "    'ema_long_period': 200,\n",
-    "    'rsi_period': 14,\n",
-    "    'rsi_overbought_threshold': 70,\n",
-    "    'rsi_oversold_threshold': 30,\n",
-    "    'alignment_window_size':48,\n",
-    "}"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "0108b62e",
-   "metadata": {},
-   "source": [
-    "## Dynamically loadin the strategy\n",
-    "We can dynamically load the strategy from a file. This is useful if we want to change the strategy without restarting the entire\n",
-    "notebook. This allows you to edit the strategy and quickly test it."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "id": "2c050324d9a18a3b",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import importlib\n",
-    "import strategies.strategy_v1.strategy_v1 as ema_crossover_v1\n",
-    "\n",
-    "importlib.reload(ema_crossover_v1)\n",
-    "EMACrossoverRSIStrategy = ema_crossover_v1.EMACrossoverRSIStrategy"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "a06788ed",
-   "metadata": {},
-   "source": [
-    "## Select in sample test date ranges\n",
-    "\n",
-    "Date ranges for in-sample testing should be atleast 2 years long so we can calculate \n",
-    "all metrics. Three date ranges are selected, coresponding to an uptrend, a downtrend and a sideways trend. Using these three date ranges we can test the performance of the strategy in different market conditions.\n",
-    "\n",
-    "We will use a window=730, which means 2-year slices of market behavior that we can use to detect uptrends, downtrends and sideways trends.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "id": "9475af3f",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from investing_algorithm_framework import download\n",
-    "\n",
-    "insample_data = download(\n",
-    "    symbol=\"BTC/EUR\",\n",
-    "    start_date=insample_date_range.start_date,\n",
-    "    end_date=insample_date_range.end_date,\n",
-    "    market=MARKET,\n",
-    "    time_frame=\"1d\",\n",
-    "    save=True,\n",
-    "    storage_path=DATA_STORAGE_PATH\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "251f6779",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "UpTurn: 2022-12-18 00:00:00+00:00 - 2024-12-17 00:00:00+00:00\n",
-      "DownTurn: 2022-01-01 00:00:00+00:00 - 2024-01-01 00:00:00+00:00\n",
-      "SideWays: 2022-01-05 00:00:00+00:00 - 2024-01-05 00:00:00+00:00\n"
-     ]
-    }
-   ],
-   "source": [
-    "from investing_algorithm_framework import select_backtest_date_ranges\n",
-    "\n",
-    "# Select date ranges for backtesting with a window of 730 days (2 years), so\n",
-    "# we have clear uptrend, downtrend, and sideways market conditions.\n",
-    "ranges = select_backtest_date_ranges(insample_data, window=730)\n",
-    "\n",
-    "for r in ranges:\n",
-    "    print(r)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f271550a",
-   "metadata": {},
-   "source": [
-    "## Visualize the strategy indicators"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "07c30713",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import plotly.graph_objects as go\n",
-    "\n",
-    "\n",
-    "def create_crossover_chart(\n",
-    "    data: pd.DataFrame,\n",
-    "    column=\"crossover\",\n",
-    "    color='green'\n",
-    "):\n",
-    "    crossover = data[data[column] == True]\n",
-    "    plot = go.Scatter(\n",
-    "        x=crossover.index,\n",
-    "        y=crossover['Close'],\n",
-    "        mode='markers',\n",
-    "        name='Crossover',\n",
-    "        marker=dict(color=color, size=10, symbol='cross')\n",
-    "    )\n",
-    "    return plot\n",
-    "\n",
-    "def create_crossunder_chart(\n",
-    "    data: pd.DataFrame,\n",
-    "    column=\"crossunder\",\n",
-    "    color='red'\n",
-    "):\n",
-    "    crossunder = data[data[column] == True]\n",
-    "    plot = go.Scatter(\n",
-    "        x=crossunder.index,\n",
-    "        y=crossunder['Close'],\n",
-    "        mode='markers',\n",
-    "        name='Crossunder',\n",
-    "        marker=dict(color=color, size=10, symbol='cross')\n",
-    "    )\n",
-    "    return plot\n",
-    "\n",
-    "def create_line_chart(\n",
-    "    data: pd.DataFrame,\n",
-    "    column=\"Close\",\n",
-    "    color='blue',\n",
-    "):\n",
-    "    plot = go.Scatter(\n",
-    "        x=data.index,\n",
-    "        y=data[column],\n",
-    "        mode='lines',\n",
-    "        name='Close',\n",
-    "        line=dict(color=color)\n",
-    "    )\n",
-    "    return plot"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "id": "2d48acc4",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "marker": {
-          "color": "green",
-          "size": 10,
-          "symbol": "cross"
-         },
-         "mode": "markers",
-         "name": "Crossover",
-         "type": "scatter",
-         "x": [
-          "2023-02-22T00:00:00+00:00",
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-         ],
-         "xaxis": "x",
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-          "bdata": "AAAAAABI1kAAAAAAoNTrQA==",
-          "dtype": "f8"
-         },
-         "yaxis": "y"
-        },
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-         "marker": {
-          "color": "red",
-          "size": 10,
-          "symbol": "cross"
-         },
-         "mode": "markers",
-         "name": "Crossunder",
-         "type": "scatter",
-         "x": [
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-         ],
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-          "dtype": "f8"
-         },
-         "yaxis": "y"
-        },
-        {
-         "line": {
-          "color": "purple"
-         },
-         "mode": "lines",
-         "name": "Close",
-         "type": "scatter",
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-         "text": "EMA Crossover Strategy Visualization"
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-   "source": [
-    "from plotly.subplots import make_subplots\n",
-    "from pyindicators import ema, rsi, crossover, crossunder\n",
-    "\n",
-    "data = insample_data.copy()\n",
-    "data = ema(\n",
-    "    data=data,\n",
-    "    period=strategy_params['ema_short_period'],\n",
-    "    source_column='Close',\n",
-    "    result_column='ema_short'\n",
-    ")\n",
-    "data = ema(\n",
-    "    data=data,\n",
-    "    period=strategy_params['ema_long_period'],\n",
-    "    source_column='Close',\n",
-    "    result_column='ema_long'\n",
-    ")\n",
-    "data = rsi(\n",
-    "    data=data,\n",
-    "    period=strategy_params['rsi_period'],\n",
-    "    source_column='Close',\n",
-    "    result_column='rsi'\n",
-    ")\n",
-    "\n",
-    "data = crossover(\n",
-    "    data=data,\n",
-    "    first_column='ema_short',\n",
-    "    second_column='ema_long',\n",
-    "    result_column='crossover'\n",
-    ")\n",
-    "data = crossunder(\n",
-    "    data=data,\n",
-    "    first_column='ema_short',\n",
-    "    second_column='ema_long',\n",
-    "    result_column='crossunder'\n",
-    ")\n",
-    "fig = make_subplots(\n",
-    "    rows=2,\n",
-    "    cols=1,\n",
-    "    shared_xaxes=True,\n",
-    "    vertical_spacing=0.02,\n",
-    "    subplot_titles=(\"EMA Crossovers\", \"RSI\"),\n",
-    "    row_heights=[0.4, 0.2]\n",
-    ")\n",
-    "fig.add_trace(\n",
-    "    create_crossover_chart(data, column=\"crossover\", color='green'),\n",
-    "    row=1,\n",
-    "    col=1\n",
-    ")\n",
-    "fig.add_trace(\n",
-    "    create_crossunder_chart(data, column=\"crossunder\", color='red'),\n",
-    "    row=1,\n",
-    "    col=1\n",
-    ")\n",
-    "fig.add_trace(\n",
-    "    create_line_chart(data, column=\"rsi\", color='purple'),\n",
-    "    row=2,\n",
-    "    col=1\n",
-    ")\n",
-    "fig.add_trace(\n",
-    "    create_line_chart(data, column=\"ema_long\", color='orange'),\n",
-    "    row=1,\n",
-    "    col=1\n",
-    ")\n",
-    "fig.add_trace(\n",
-    "    create_line_chart(data, column=\"ema_short\", color='green'),\n",
-    "    row=1,\n",
-    "    col=1\n",
-    ")\n",
-    "fig.add_trace(\n",
-    "    create_line_chart(data, column=\"Close\", color='blue'),\n",
-    "    row=1,\n",
-    "    col=1\n",
-    ")\n",
-    "fig.update_layout(\n",
-    "    height=800,\n",
-    "    title_text=\"EMA Crossover Strategy Visualization\",\n",
-    "    showlegend=False,\n",
-    "    margin=dict(l=50, r=50, t=50, b=50),\n",
-    ")\n",
-    "\n",
-    "fig.show()"
-   ]
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-   "source": [
-    "## Run in-sample backtest\n",
-    "We will run the strategy over each date range and save the results. This allows us to analyze the performance of the strategy in different market conditions. We will save the results to a file so we can analyze them later"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "id": "36849215",
-   "metadata": {},
-   "outputs": [
-    {
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-       "model_id": "b75a2c8d682f432194999292c0c6c5f3",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Preparing backtest data for all data sources:   0%|          | 0/1 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
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-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Running backtest:   0%|          | 0/8761 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from investing_algorithm_framework import create_app, DataSource, DataType, \\\n",
-    "    PortfolioConfiguration, RESOURCE_DIRECTORY, SnapshotInterval\n",
-    "\n",
-    "app = create_app(\n",
-    "    config={\n",
-    "        RESOURCE_DIRECTORY: \"./resources\",\n",
-    "    }\n",
-    ")\n",
-    "app.add_portfolio_configuration(\n",
-    "    PortfolioConfiguration(\n",
-    "        initial_balance=1000,\n",
-    "        trading_symbol=\"EUR\",\n",
-    "        market=MARKET,\n",
-    "    )\n",
-    ")\n",
-    "data_sources = []\n",
-    "\n",
-    "for asset in ASSETS:\n",
-    "    data_sources.append(\n",
-    "        DataSource(\n",
-    "            identifier=f\"OHLCV_{asset}\",\n",
-    "            data_type=DataType.OHLCV,\n",
-    "            time_frame=\"4h\",\n",
-    "            market=MARKET,\n",
-    "            symbol=asset,\n",
-    "            window_size=WINDOW_SIZE\n",
-    "        )\n",
-    "    )\n",
-    "\n",
-    "strategy = EMACrossoverRSIStrategy(\n",
-    "    time_unit=\"hour\",\n",
-    "    interval=2,\n",
-    "    symbols=[\"BTC/EUR\"],\n",
-    "    data_sources=data_sources,\n",
-    "    market=MARKET,\n",
-    "    ema_short_period=strategy_params[\"ema_short_period\"],\n",
-    "    ema_long_period=strategy_params[\"ema_long_period\"],\n",
-    "    rsi_period=strategy_params[\"rsi_period\"],\n",
-    "    rsi_oversold_threshold=strategy_params[\"rsi_oversold_threshold\"],\n",
-    "    rsi_overbought_threshold=strategy_params[\"rsi_overbought_threshold\"],\n",
-    "    alignment_window_size=strategy_params[\"alignment_window_size\"],\n",
-    ")\n",
-    "backtests = []\n",
-    "backtest_date_range = ranges[0]  # Example: using the first date range for backtesting\n",
-    "# for backtest_date_range in ranges:\n",
-    "backtest = app.run_backtest(\n",
-    "    strategy=strategy,\n",
-    "    backtest_date_range=backtest_date_range,\n",
-    "    initial_amount=1000,\n",
-    "    snapshot_interval=SnapshotInterval.DAILY,\n",
-    "    risk_free_rate=RISK_FREE_RATE,\n",
-    "    save=False\n",
-    ")\n",
-    "backtests.append(backtest)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "id": "6d981f2c",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "for backtest in backtests:\n",
-    "    backtest.save(\n",
-    "        directory_path=BACKTEST_RESULTS_STORAGE_PATH,\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "77c0b242",
-   "metadata": {},
-   "source": [
-    "## Show in sample backtest results\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "id": "5bd35795",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Start date must be a UTC datetime object. Received: 2022-12-18 00:00:00\n",
-      "End date must be a UTC datetime object. Received: 2024-12-17 00:00:00\n"
-     ]
-    },
-    {
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-       "    <h1>Backtest report: EMACrossoverRSIStrategy</h1>\n",
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-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th id=\"T_a10e0_level0_col0\" class=\"col_heading level0 col0\" >Metric</th>\n",
-       "      <th id=\"T_a10e0_level0_col1\" class=\"col_heading level0 col1\" >Value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row0_col0\" class=\"data row0 col0\" >Start Date</td>\n",
-       "      <td id=\"T_a10e0_row0_col1\" class=\"data row0 col1\" >2022-12-17 23:00:00+00:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row1_col0\" class=\"data row1 col0\" >End Date</td>\n",
-       "      <td id=\"T_a10e0_row1_col1\" class=\"data row1 col1\" >2024-12-16 23:00:00+00:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row2_col0\" class=\"data row2 col0\" >% Winning Months</td>\n",
-       "      <td id=\"T_a10e0_row2_col1\" class=\"data row2 col1\" >50.00%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row3_col0\" class=\"data row3 col0\" >% Winning Years</td>\n",
-       "      <td id=\"T_a10e0_row3_col1\" class=\"data row3 col1\" >100.00%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row4_col0\" class=\"data row4 col0\" >AVG Mo Return</td>\n",
-       "      <td id=\"T_a10e0_row4_col1\" class=\"data row4 col1\" >3.41%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row5_col0\" class=\"data row5 col0\" >AVG Mo Return (Losing Months)</td>\n",
-       "      <td id=\"T_a10e0_row5_col1\" class=\"data row5 col1\" >-2.97%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row6_col0\" class=\"data row6 col0\" >AVG Mo Return (Winning Months)</td>\n",
-       "      <td id=\"T_a10e0_row6_col1\" class=\"data row6 col1\" >8.30%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row7_col0\" class=\"data row7 col0\" >Best Month</td>\n",
-       "      <td id=\"T_a10e0_row7_col1\" class=\"data row7 col1\" >24.71% 2024-02-29 00:00:00+00:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row8_col0\" class=\"data row8 col0\" >Worst Month</td>\n",
-       "      <td id=\"T_a10e0_row8_col1\" class=\"data row8 col1\" >-5.78% 2024-06-30 00:00:00+00:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row9_col0\" class=\"data row9 col0\" >Best Year</td>\n",
-       "      <td id=\"T_a10e0_row9_col1\" class=\"data row9 col1\" >67.57% 2024-01-01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_a10e0_row10_col0\" class=\"data row10 col0\" >Worst Year</td>\n",
-       "      <td id=\"T_a10e0_row10_col1\" class=\"data row10 col1\" >26.47% 2023-01-01</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "\n",
-       "            </div>\n",
-       "            <div class=\"metrics-table\">\n",
-       "                <h2>Performance Metrics</h2>\n",
-       "                <style type=\"text/css\">\n",
-       "#T_197cf th {\n",
-       "  background-color: #f2f2f2;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "#T_197cf td {\n",
-       "  font-size: 14px;\n",
-       "}\n",
-       "#T_197cf tr:nth-child(even) {\n",
-       "  background-color: #fafafa;\n",
-       "}\n",
-       "#T_197cf_row2_col1, #T_197cf_row7_col1 {\n",
-       "  color: #FFD700;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "#T_197cf_row3_col1 {\n",
-       "  color: #32CD32;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "#T_197cf_row4_col1, #T_197cf_row5_col1 {\n",
-       "  color: #006400;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "#T_197cf_row6_col1 {\n",
-       "  color: #FFA500;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "</style>\n",
-       "<table id=\"T_197cf\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th id=\"T_197cf_level0_col0\" class=\"col_heading level0 col0\" >Metric</th>\n",
-       "      <th id=\"T_197cf_level0_col1\" class=\"col_heading level0 col1\" >Value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row0_col0\" class=\"data row0 col0\" >Total Return</td>\n",
-       "      <td id=\"T_197cf_row0_col1\" class=\"data row0 col1\" >1119.17 (111.92%)</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row1_col0\" class=\"data row1 col0\" >CAGR</td>\n",
-       "      <td id=\"T_197cf_row1_col1\" class=\"data row1 col1\" >45.57%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row2_col0\" class=\"data row2 col0\" >Sharpe Ratio</td>\n",
-       "      <td id=\"T_197cf_row2_col1\" class=\"data row2 col1\" >1.82</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row3_col0\" class=\"data row3 col0\" >Sortino Ratio</td>\n",
-       "      <td id=\"T_197cf_row3_col1\" class=\"data row3 col1\" >2.10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row4_col0\" class=\"data row4 col0\" >Profit Factor</td>\n",
-       "      <td id=\"T_197cf_row4_col1\" class=\"data row4 col1\" >4.51</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row5_col0\" class=\"data row5 col0\" >Calmar Ratio</td>\n",
-       "      <td id=\"T_197cf_row5_col1\" class=\"data row5 col1\" >3.37</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row6_col0\" class=\"data row6 col0\" >Annual Volatility</td>\n",
-       "      <td id=\"T_197cf_row6_col1\" class=\"data row6 col1\" >20.14%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row7_col0\" class=\"data row7 col0\" >Max Drawdown</td>\n",
-       "      <td id=\"T_197cf_row7_col1\" class=\"data row7 col1\" >13.53%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row8_col0\" class=\"data row8 col0\" >Max Drawdown Absolute</td>\n",
-       "      <td id=\"T_197cf_row8_col1\" class=\"data row8 col1\" >225.44 EUR</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row9_col0\" class=\"data row9 col0\" >Max Daily Drawdown</td>\n",
-       "      <td id=\"T_197cf_row9_col1\" class=\"data row9 col1\" >13.53%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_197cf_row10_col0\" class=\"data row10 col0\" >Max Drawdown Duration</td>\n",
-       "      <td id=\"T_197cf_row10_col1\" class=\"data row10 col1\" >245 hours - 10 days</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "\n",
-       "            </div>\n",
-       "            <div class=\"metrics-table\">\n",
-       "                <h2>Trade Metrics</h2>\n",
-       "                <style type=\"text/css\">\n",
-       "#T_ca442 th {\n",
-       "  background-color: #f2f2f2;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "#T_ca442 td {\n",
-       "  font-size: 14px;\n",
-       "}\n",
-       "#T_ca442 tr:nth-child(even) {\n",
-       "  background-color: #fafafa;\n",
-       "}\n",
-       "#T_ca442_row11_col1 {\n",
-       "  color: #32CD32;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "#T_ca442_row12_col1 {\n",
-       "  color: #228B22;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "</style>\n",
-       "<table id=\"T_ca442\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th id=\"T_ca442_level0_col0\" class=\"col_heading level0 col0\" >Metric</th>\n",
-       "      <th id=\"T_ca442_level0_col1\" class=\"col_heading level0 col1\" >Value</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row0_col0\" class=\"data row0 col0\" >Trades per Year</td>\n",
-       "      <td id=\"T_ca442_row0_col1\" class=\"data row0 col1\" >3.00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row1_col0\" class=\"data row1 col0\" >Trade per Day</td>\n",
-       "      <td id=\"T_ca442_row1_col1\" class=\"data row1 col1\" >0.01</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row2_col0\" class=\"data row2 col0\" >Exposure Factor</td>\n",
-       "      <td id=\"T_ca442_row2_col1\" class=\"data row2 col1\" >0.49</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row3_col0\" class=\"data row3 col0\" >Trades Average Gain</td>\n",
-       "      <td id=\"T_ca442_row3_col1\" class=\"data row3 col1\" >160.35 EUR 0.03%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row4_col0\" class=\"data row4 col0\" >Trades Average Loss</td>\n",
-       "      <td id=\"T_ca442_row4_col1\" class=\"data row4 col1\" >-71.10 EUR -0.03%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row5_col0\" class=\"data row5 col0\" >Best Trade</td>\n",
-       "      <td id=\"T_ca442_row5_col1\" class=\"data row5 col1\" >303.22 EUR</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row6_col0\" class=\"data row6 col0\" >Best Trade Date</td>\n",
-       "      <td id=\"T_ca442_row6_col1\" class=\"data row6 col1\" >2024-01-31 10:00:00+00:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row7_col0\" class=\"data row7 col0\" >Worst Trade</td>\n",
-       "      <td id=\"T_ca442_row7_col1\" class=\"data row7 col1\" >-75.20 EUR</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row8_col0\" class=\"data row8 col0\" >Worst Trade Date</td>\n",
-       "      <td id=\"T_ca442_row8_col1\" class=\"data row8 col1\" >2024-05-17 18:00:00+00:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row9_col0\" class=\"data row9 col0\" >Average Trade Duration</td>\n",
-       "      <td id=\"T_ca442_row9_col1\" class=\"data row9 col1\" >1436.33 hours</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row10_col0\" class=\"data row10 col0\" >Number of Trades</td>\n",
-       "      <td id=\"T_ca442_row10_col1\" class=\"data row10 col1\" >6</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row11_col0\" class=\"data row11 col0\" >Win Rate</td>\n",
-       "      <td id=\"T_ca442_row11_col1\" class=\"data row11 col1\" >60.00%</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_ca442_row12_col0\" class=\"data row12 col0\" >Win/Loss Ratio</td>\n",
-       "      <td id=\"T_ca442_row12_col1\" class=\"data row12 col1\" >2.96</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "\n",
-       "            </div>\n",
-       "        </div>\n",
-       "    </div>\n",
-       "    <div id=\"Trades\" class=\"tabcontent\">\n",
-       "        <style type=\"text/css\">\n",
-       "#T_f3b67 th {\n",
-       "  background-color: #f2f2f2;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "#T_f3b67 td {\n",
-       "  font-size: 14px;\n",
-       "}\n",
-       "#T_f3b67 tr:nth-child(even) {\n",
-       "  background-color: #fafafa;\n",
-       "}\n",
-       "#T_f3b67_row0_col1, #T_f3b67_row2_col1, #T_f3b67_row3_col1 {\n",
-       "  color: #228B22;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "#T_f3b67_row1_col1 {\n",
-       "  color: #B22222;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "#T_f3b67_row4_col1 {\n",
-       "  color: #FFA500;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "#T_f3b67_row5_col1 {\n",
-       "  color: #32CD32;\n",
-       "  font-weight: bold;\n",
-       "}\n",
-       "</style>\n",
-       "<table id=\"T_f3b67\">\n",
-       "  <thead>\n",
-       "    <tr>\n",
-       "      <th id=\"T_f3b67_level0_col0\" class=\"col_heading level0 col0\" >Trade</th>\n",
-       "      <th id=\"T_f3b67_level0_col1\" class=\"col_heading level0 col1\" >Net Gain</th>\n",
-       "      <th id=\"T_f3b67_level0_col2\" class=\"col_heading level0 col2\" >Entry (Price, Date)</th>\n",
-       "      <th id=\"T_f3b67_level0_col3\" class=\"col_heading level0 col3\" >Exit (Price, Date)</th>\n",
-       "      <th id=\"T_f3b67_level0_col4\" class=\"col_heading level0 col4\" >Duration</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <td id=\"T_f3b67_row0_col0\" class=\"data row0 col0\" >1 BTC/EUR</td>\n",
-       "      <td id=\"T_f3b67_row0_col1\" class=\"data row0 col1\" >67.47 EUR (6.88%)</td>\n",
-       "      <td id=\"T_f3b67_row0_col2\" class=\"data row0 col2\" >23422.0 2023-03-15 06:00:00</td>\n",
-       "      <td id=\"T_f3b67_row0_col3\" class=\"data row0 col3\" >2023-03-22 14:00:00</td>\n",
-       "      <td id=\"T_f3b67_row0_col4\" class=\"data row0 col4\" >176.00 hours</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_f3b67_row1_col0\" class=\"data row1 col0\" >2 BTC/EUR</td>\n",
-       "      <td id=\"T_f3b67_row1_col1\" class=\"data row1 col1\" >-66.99 EUR (-6.40%)</td>\n",
-       "      <td id=\"T_f3b67_row1_col2\" class=\"data row1 col2\" >26673.0 2023-05-06 02:00:00</td>\n",
-       "      <td id=\"T_f3b67_row1_col3\" class=\"data row1 col3\" >2023-06-05 06:00:00</td>\n",
-       "      <td id=\"T_f3b67_row1_col4\" class=\"data row1 col4\" >724.00 hours</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_f3b67_row2_col0\" class=\"data row2 col0\" >3 BTC/EUR</td>\n",
-       "      <td id=\"T_f3b67_row2_col1\" class=\"data row2 col1\" >260.87 EUR (26.61%)</td>\n",
-       "      <td id=\"T_f3b67_row2_col2\" class=\"data row2 col2\" >25028.0 2023-09-18 18:00:00</td>\n",
-       "      <td id=\"T_f3b67_row2_col3\" class=\"data row2 col3\" >2024-01-14 18:00:00</td>\n",
-       "      <td id=\"T_f3b67_row2_col4\" class=\"data row2 col4\" >2832.00 hours</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_f3b67_row3_col0\" class=\"data row3 col0\" >4 BTC/EUR</td>\n",
-       "      <td id=\"T_f3b67_row3_col1\" class=\"data row3 col1\" >303.22 EUR (24.53%)</td>\n",
-       "      <td id=\"T_f3b67_row3_col2\" class=\"data row3 col2\" >39961.0 2024-01-31 10:00:00</td>\n",
-       "      <td id=\"T_f3b67_row3_col3\" class=\"data row3 col3\" >2024-03-05 14:00:00</td>\n",
-       "      <td id=\"T_f3b67_row3_col4\" class=\"data row3 col4\" >820.00 hours</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_f3b67_row4_col0\" class=\"data row4 col0\" >5 BTC/EUR</td>\n",
-       "      <td id=\"T_f3b67_row4_col1\" class=\"data row4 col1\" >-75.20 EUR (-4.90%)</td>\n",
-       "      <td id=\"T_f3b67_row4_col2\" class=\"data row4 col2\" >61614.0 2024-05-17 18:00:00</td>\n",
-       "      <td id=\"T_f3b67_row4_col3\" class=\"data row4 col3\" >2024-08-04 14:00:00</td>\n",
-       "      <td id=\"T_f3b67_row4_col4\" class=\"data row4 col4\" >1892.00 hours</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <td id=\"T_f3b67_row5_col0\" class=\"data row5 col0\" >6 BTC/EUR</td>\n",
-       "      <td id=\"T_f3b67_row5_col1\" class=\"data row5 col1\" >1239.93 EUR (0.00%)</td>\n",
-       "      <td id=\"T_f3b67_row5_col2\" class=\"data row5 col2\" >54982.0 2024-09-17 10:00:00</td>\n",
-       "      <td id=\"T_f3b67_row5_col3\" class=\"data row5 col3\" >open</td>\n",
-       "      <td id=\"T_f3b67_row5_col4\" class=\"data row5 col4\" >2174.00 hours</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "\n",
-       "        \n",
-       "        <script>\n",
-       "        $(document).ready(function() {\n",
-       "            $('.stats-table').DataTable({\n",
-       "                paging: true,\n",
-       "                pageLength: 10,\n",
-       "                searching: true\n",
-       "            });\n",
-       "        });\n",
-       "        </script>\n",
-       "        \n",
-       "    </div>\n",
-       "    <div id=\"DataAnalysis\" class=\"tabcontent\">\n",
-       "    <h2>OHLCV Data Completeness Charts</h2>\n",
-       "        \n",
-       "    </div>\n",
-       "</body>\n",
-       "</html>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from investing_algorithm_framework import BacktestReport, Backtest\n",
-    "\n",
-    "backtest = Backtest.open(\n",
-    "    directory_path=BACKTEST_RESULTS_STORAGE_PATH\n",
-    ")\n",
-    "report = BacktestReport.open(\n",
-    "    backtests=[backtest]\n",
-    ")\n",
-    "report.show(browser=True)"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "investing-algorithm-framework-ygOLr3-a-py3.12",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.12.11"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/backtest_example/strategies/strategy_v1/strategy_v1.py b/examples/backtest_example/strategies/strategy_v1/strategy_v1.py
deleted file mode 100644
index 377e9bbc..00000000
--- a/examples/backtest_example/strategies/strategy_v1/strategy_v1.py
+++ /dev/null
@@ -1,188 +0,0 @@
-from typing import Dict, Any, List
-
-from datetime import timedelta
-import polars as pl
-
-from pyindicators import ema, crossover, crossunder, rsi
-
-from investing_algorithm_framework import TradingStrategy, Context, TradeRiskType
-
-
-class EMACrossoverRSIStrategy(TradingStrategy):
-    """
-    This is an example strategy that use the EMA Crossover and RSI indicators
-    to generate buy and sell signals. It uses the EMA Crossover to determine
-    the trend direction and the RSI to identify overbought and oversold conditions.
-
-    This strategy implements both vectorized and non-vectorized methods for
-    generating buy and sell signals. This strategy can therefore be used in
-    both the vectorized and event-basesd backtest engines of the framework.
-
-    Args:
-        time_unit (str): The time unit for the strategy (e.g., "HOUR", "MINUTE").
-        interval (int): The interval for the strategy.
-        market (str): The market to trade on (e.g., "binance").
-        symbols (List[str]): List of symbols to trade.
-        data_sources (List[DataSource]): List of DataSource instances.
-        ema_time_frame (str): Time frame for the EMA indicator.
-        ema_short_period (int): Short period for the EMA indicator.
-        ema_long_period (int): Long period for the EMA indicator.
-        rsi_time_frame (str): Time frame for the RSI indicator.
-        rsi_period (int): Period for the RSI indicator.
-        rsi_oversold_threshold (float): Oversold threshold for RSI.
-        rsi_overbought_threshold (float): Overbought threshold for RSI.
-        alignment_window_size (int): Size of the alignment window in minutes
-    """
-
-    def __init__(
-        self,
-        time_unit,
-        interval,
-        market,
-        symbols: List[str],
-        data_sources,
-        ema_short_period,
-        ema_long_period,
-        rsi_period,
-        rsi_oversold_threshold,
-        rsi_overbought_threshold,
-        alignment_window_size,
-        trailing_stop_loss_percentage=5,
-        trailing_take_profit_percentage=10,
-        position_sizes: Dict[str, float] = None
-    ):
-        super().__init__(time_unit=time_unit, interval=interval)
-        self.data_sources = data_sources
-        self.ema_short_period = ema_short_period
-        self.ema_long_period = ema_long_period
-        self.rsi_period = rsi_period
-        self.symbols = symbols
-        self.alignment_window_size = alignment_window_size
-        self.rsi_oversold_threshold = rsi_oversold_threshold
-        self.rsi_overbought_threshold = rsi_overbought_threshold
-        self.market = market
-        self.trailing_stop_loss_percentage = trailing_stop_loss_percentage
-        self.trailing_take_profit_percentage = trailing_take_profit_percentage
-        self.position_sizes = position_sizes
-
-        if self.position_sizes is None:
-            self.position_sizes = {symbol: ((100 / len(self.symbols)) - 2) for symbol in self.symbols}
-
-    def get_position_size(self, symbol: str) -> float:
-        """
-        Get the position size for a given symbol.
-        If the symbol is not in the position sizes, return 0.
-        """
-        return self.position_sizes.get(symbol, 0)
-
-    def run_strategy(self, context: Context, data: Dict[str, Any]):
-
-        for symbol in self.symbols:
-            target_symbol = symbol.split("/")[0]
-
-            # Skip if the symbol if there are open orders
-            if context.has_open_orders(target_symbol):
-                continue
-
-            data_id = f"OHLCV_{symbol}"
-            data = data.get(data_id, None)
-
-            # Check if the polars DataFrame is empty
-            if data.is_empty():
-                continue
-
-            data = ema(
-                data,
-                source_column="Close",
-                period=self.ema_short_period,
-                result_column=f"ema_short"
-            )
-            data = ema(
-                data,
-                source_column="Close",
-                period=self.ema_long_period,
-                result_column=f"ema_long"
-            )
-            data = crossunder(
-                data,
-                first_column=f"ema_short",
-                second_column=f"ema_long",
-                result_column="ema_crossunder"
-            )
-            data = crossover(
-                data,
-                first_column=f"ema_short",
-                second_column=f"ema_long",
-                result_column="ema_crossover"
-            )
-            data = rsi(
-                data,
-                source_column="Close",
-                period=self.rsi_period,
-                result_column="rsi"
-            )
-
-            if context.has_position(target_symbol):
-
-                if self.is_sell_signal(data):
-                    context.close_position(
-                        symbol=target_symbol,
-                    )
-            else:
-
-                if self.is_buy_signal(data):
-                    # Get the last price of the polar DataFrame
-                    price = data["Close"][-1]
-                    order = context.create_limit_buy_order(
-                        target_symbol=target_symbol,
-                        price=price,
-                        percentage_of_portfolio=self.get_position_size(symbol),
-                    )
-                    trade = context.get_trade(order_id=order.id)
-                    context.add_stop_loss(
-                        trade,
-                        percentage=self.trailing_stop_loss_percentage,
-                        trade_risk_type=TradeRiskType.TRAILING,
-                        sell_percentage=50
-                    )
-                    context.add_take_profit(
-                        trade,
-                        percentage=self.trailing_take_profit_percentage,
-                        trade_risk_type=TradeRiskType.TRAILING,
-                        sell_percentage=50
-                    )
-
-    def is_sell_signal(self, data: pl.DataFrame) -> bool:
-        """
-        A sell signal occurs if a 'ema_crossunder' just occurred in the latest row,
-        and the max RSI in the alignment window is above the overbought threshold.
-        """
-        if data.is_empty() or "ema_crossunder" not in data.columns:
-            return False
-
-        last_row = data.slice(-1, 1).to_dicts()[0]
-        if last_row["ema_crossunder"] != 1:
-            return False
-
-        window = data.slice(-self.alignment_window_size, self.alignment_window_size)
-        rsi_above_threshold = window["rsi"].max() > self.rsi_overbought_threshold
-
-        return rsi_above_threshold
-
-
-    def is_buy_signal(self, data: pl.DataFrame) -> bool:
-        """
-        A buy signal occurs if an 'ema_crossover' just occurred in the latest row,
-        and the min RSI in the alignment window is below the oversold threshold.
-        """
-        if data.is_empty() or "ema_crossover" not in data.columns:
-            return False
-
-        last_row = data.slice(-1, 1).to_dicts()[0]
-        if last_row["ema_crossover"] != 1:
-            return False
-
-        window = data.slice(-self.alignment_window_size, self.alignment_window_size)
-        rsi_below_threshold = window["rsi"].min() < self.rsi_oversold_threshold
-
-        return rsi_below_threshold
diff --git a/examples/example_strategies/README.md b/examples/example_strategies/README.md
deleted file mode 100644
index e69de29b..00000000
diff --git a/examples/example_strategies/adx_rsi_divergence/primary.py b/examples/example_strategies/adx_rsi_divergence/primary.py
deleted file mode 100644
index 0be2ef69..00000000
--- a/examples/example_strategies/adx_rsi_divergence/primary.py
+++ /dev/null
@@ -1,151 +0,0 @@
-import tulipy as tp
-
-from investing_algorithm_framework import TradingStrategy, TimeUnit, \
-    CCXTOHLCVMarketDataSource, CCXTTickerMarketDataSource, Algorithm
-
-# Ohlcv data source
-btc_eur_ohlcv_data = CCXTOHLCVMarketDataSource(
-    identifier="BTC/EUR_ohlcv",
-    symbol="BTC/EUR",
-    market="BITVAVO",
-    timeframe="2h",
-    window_size=200,
-)
-
-# Ticker data source
-btc_eur_ticker_data = CCXTTickerMarketDataSource(
-    identifier="BTC/EUR_ticker",
-    symbol="BTC/EUR",
-    market="BITVAVO",
-    backtest_timeframe="2h"
-)
-
-
-class RSIADXStrategy(TradingStrategy):
-    """
-    Implementation of TradingStrategy that uses RSI and ADX metrics.
-    The strategy is parameterized in order to do experiments with it.
-    This allows you to test the strategy with different configurations.
-    """
-    market_data_sources = [btc_eur_ohlcv_data, btc_eur_ticker_data]
-    symbols = ["BTC/EUR"]
-    time_unit = TimeUnit.HOUR
-    interval = 2
-
-    def __init__(
-        self,
-        rsi_period=14,
-        adx_period=14,
-        rsi_buy_threshold=50,
-        rsi_sell_threshold=50,
-        adx_buy_threshold=35,
-        adx_sell_threshold=35,
-    ):
-        super(RSIADXStrategy, self).__init__()
-        self.rsi_period = rsi_period
-        self.adx_period = adx_period
-        self.rsi_buy_threshold = rsi_buy_threshold
-        self.rsi_sell_threshold = rsi_sell_threshold
-        self.adx_buy_threshold = adx_buy_threshold
-        self.adx_sell_threshold = adx_sell_threshold
-
-    def apply_strategy(self, algorithm, market_data):
-
-        for symbol in self.symbols:
-            ohlcv_df = market_data[f"{symbol}_ohlcv"]
-            rsi = tp.rsi(ohlcv_df["Close"].to_numpy(), period=self.rsi_period)
-            close = ohlcv_df["Close"].to_numpy()
-            pdi, ndi = tp.di(
-                high=ohlcv_df["High"].to_numpy(),
-                low=ohlcv_df["Low"].to_numpy(),
-                close=close,
-                period=self.adx_period
-            )
-            adx = tp.adx(
-                high=ohlcv_df["High"].to_numpy(),
-                low=ohlcv_df["Low"].to_numpy(),
-                close=close,
-                period=self.adx_period
-            )
-            target_symbol = symbol.split("/")[0]
-            price = close[-1]
-
-            if self.is_buy_signal(
-                    symbol=target_symbol,
-                    algorithm=algorithm,
-                    adx=adx[-1],
-                    pdi=pdi[-1],
-                    ndi=ndi[-1],
-                    rsi=rsi[-1]
-            ):
-                algorithm.create_limit_order(
-                    target_symbol=target_symbol,
-                    order_side="BUY",
-                    price=price,
-                    percentage_of_portfolio=20,
-                    precision=4
-                )
-            elif self.is_sell_signal(
-                    symbol=target_symbol,
-                    algorithm=algorithm,
-                    adx=adx[-1],
-                    pdi=pdi[-1],
-                    ndi=ndi[-1],
-                    rsi=rsi[-1]
-            ):
-                algorithm.close_position(
-                    symbol=target_symbol
-                )
-
-    def is_buy_signal(self, symbol, algorithm, adx, pdi, ndi, rsi):
-
-        if algorithm.has_open_orders(symbol):
-            return False
-
-        if algorithm.has_position(symbol):
-            return False
-
-        # if adx >= self.adx_buy_threshold and rsi <= self.rsi_buy_threshold:
-        #     return True
-
-        if adx >= self.adx_buy_threshold and pdi < ndi \
-                and rsi <= self.rsi_buy_threshold:
-            return True
-
-    def is_sell_signal(self, symbol, algorithm, adx, pdi, ndi, rsi):
-
-        if algorithm.has_open_orders(symbol):
-            return False
-
-        if not algorithm.has_position(symbol):
-            return False
-
-        if adx >= self.adx_sell_threshold and pdi > ndi \
-                and rsi >= self.rsi_sell_threshold:
-            return True
-
-
-def create_algorithm(
-    name,
-    context,
-    rsi_period=14,
-    adx_period=14,
-    rsi_buy_threshold=50,
-    rsi_sell_threshold=50,
-    adx_buy_threshold=35,
-    adx_sell_threshold=35,
-):
-    algorithm = Algorithm(
-        name=name,
-        context=context,
-        strategy=RSIADXStrategy(
-            rsi_period=rsi_period,
-            adx_period=adx_period,
-            rsi_buy_threshold=rsi_buy_threshold,
-            rsi_sell_threshold=rsi_sell_threshold,
-            adx_buy_threshold=adx_buy_threshold,
-            adx_sell_threshold=adx_sell_threshold,
-        ),
-        data_sources=[btc_eur_ohlcv_data, btc_eur_ticker_data],
-    )
-    return algorithm
diff --git a/examples/example_strategies/macd_wr/macd_wr.ipynb b/examples/example_strategies/macd_wr/macd_wr.ipynb
deleted file mode 100644
index 5158c3a2..00000000
--- a/examples/example_strategies/macd_wr/macd_wr.ipynb
+++ /dev/null
@@ -1,836 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Moving average convergence/divergence (MAC) and Williams %R (WR) strategy creation\n",
-    "In this notebook we are going to create a strategy that uses [MACD](https://en.wikipedia.org/wiki/Average_directional_movement_index) and [Williams%R)](https://en.wikipedia.org/wiki/Relative_strength_index). \n",
-    "\n",
-    "Williams %R is a momentum indicator that is the inverse of the Fast Stochastic Oscillator. Where values between 0 to -20 are considered overbought and -80 to -100 are considered oversold. Williams %R reflects the level of the close relative to the highest high for the look-back period. This is a bound oscillator and oscillates from 0 to -100\n",
-    "\n",
-    "Entry signal\n",
-    "Bullish Crossover\n",
-    "Description: Occurs when the MACD line crosses above the Signal line.\n",
-    "Implication: Indicates a potential upward trend and is often considered a buy signal.\n",
-    "Example: If the MACD line (blue) crosses above the Signal line (orange), it suggests increasing positive momentum.\n",
-    "\n",
-    "Exit signal\n",
-    "Bearish Crossover\n",
-    "Description: Occurs when the MACD line crosses below the Signal line.\n",
-    "Implication: Indicates a potential downward trend and is often considered a sell signal.\n",
-    "Example: If the MACD line (blue) crosses below the Signal line (orange), it suggests increasing negative momentum.\n",
-    "\n",
-    "This notebook will walk you through the following processes:\n",
-    "\n",
-    "* Download all market data\n",
-    "* Determine up and down trends in the market data and convert them to Backtest dateranges\n",
-    "* Visualize all market data\n",
-    "* Create RSI and ADX metric calculation functions\n",
-    "* Visualize all market data and metrics\n",
-    "* Create a strategy based on the metrics with the investing algorithm framework\n",
-    "* Backtest the strategy with different configurations.\n",
-    "* Evaluate the backtest reports to determine the best configuration"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Install requirements"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "metadata": {}
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "investing_algorithm_framork indicators plugin is not installed. Installing...\n",
-      "zsh:1: no matches found: investing_algorithm_framework[indicators]\n",
-      "ipywidgets is already installed.\n"
-     ]
-    }
-   ],
-   "source": [
-    "try:\n",
-    "    import investing_algorithm_framework  \n",
-    "    print(f\"investing_algorithm_framork is already installed.\")\n",
-    "except ImportError:\n",
-    "    print(\"investing_algorithm_framork is not installed. Installing...\")\n",
-    "    import sys\n",
-    "    !{sys.executable} -m pip install investing_algorithm_framework\n",
-    "\n",
-    "try:\n",
-    "    import ipywidgets\n",
-    "    print(f\"ipywidgets is already installed.\")\n",
-    "except ImportError:\n",
-    "    print(\"ipywidgets is not installed. Installing...\")\n",
-    "    import sys\n",
-    "    !{sys.executable} -m pip install ipywidgets"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Define data sources\n",
-    "We will use the `ccxt` library to download the data and provide our strategy with the necessary data when backtesting and live trading. We will \n",
-    "use OHLCV (Open, High, Low, Close and Volume) data from the Bitvavo exchange for the BTC/EUR trading pair."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "metadata": {}
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<investing_algorithm_framework.infrastructure.models.market_data_sources.ccxt.CCXTOHLCVMarketDataSource at 0x17d3a2b80>"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import os\n",
-    "from investing_algorithm_framework import CCXTOHLCVMarketDataSource\n",
-    "\n",
-    "# Define data storage path. The data provider will write all its downloaded data to this directory. \n",
-    "# If at this location all files already exist it will just read from the files instead of downloading everything.\n",
-    "storage_path = os.path.join(os.getcwd(), \"data\")\n",
-    "two_hour_btc_eur_data_source = CCXTOHLCVMarketDataSource(\n",
-    "    identifier=\"BTC/EUR_OHLCV\",\n",
-    "    symbol=\"BTC/EUR\",\n",
-    "    market=\"BITVAVO\",\n",
-    "    time_frame=\"2h\",\n",
-    "    storage_path=storage_path\n",
-    ")\n",
-    "\n",
-    "one_day_btc_eur_data_source = CCXTOHLCVMarketDataSource(\n",
-    "    identifier=\"BTC/EUR_OHLCV\",\n",
-    "    symbol=\"BTC/EUR\",\n",
-    "    market=\"BITVAVO\",\n",
-    "    time_frame=\"1d\",\n",
-    "    storage_path=storage_path    \n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Download and analyse data\n",
-    "\n",
-    "In this section we are going to download all required data, deteremine up and down trend, define the backtest date ranges, and visualize the data with our strategy indicators.\n",
-    "\n",
-    "We want to indentify up and down trends in the data for optimization of our strategy later during backtesting. For example, if the strategy performs well in up trends but poorly in down trends, we can optimize the strategy to perform better in down trends by changing the strategy configuration. The goal here is to create date ranges for up and down trends so we can evaluate the strategy performance in different market conditions."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from datetime import datetime, timedelta\n",
-    "from investing_algorithm_framework import DateRange\n",
-    "\n",
-    "total_date_range = DateRange(\n",
-    "    start_date=datetime(year=2021, month=1, day=1), \n",
-    "    end_date=datetime(year=2024, month=6, day=1), \n",
-    "    name=\"Total date range\"\n",
-    ")\n",
-    "\n",
-    "# Our start date for our data is different then our start_date for our backtest range. This is because we will be using indicators such as the 200 sma, \n",
-    "# which need to have atleast 200 data points before the start date of our backtest range. If we don't do this,\n",
-    "# we can't calculate indicators such as the 200 sma for our strategy.\n",
-    "start_date_data = total_date_range.start_date - timedelta(days=200)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Download all data for the total date range"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "total_data_polars_df = one_day_btc_eur_data_source.get_data(\n",
-    "    start_date=total_date_range[0], end_date=total_date_range[1],\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Define all backtest date ranges and indentify up and down trends. \n",
-    "\n",
-    "We are going to define all the backtesting date ranges that we are going to use to backtest our strategy. The total date range we are going to test is the period of 2021-12-21 - 2024-06-01. For strategy optimization purposes, we are going to determine then up and down trends of this date range and add these to our backtest date ranges. This will result in a date range list that consists of total period (2021-12-21 - 2024-06-01) and the individual up and down trends in this period.\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from investing_algorithm_framework import BacktestDateRange, convert_polars_to_pandas\n",
-    "from investing_algorithm_framework.indicators import detect_up_and_downtrends\n",
-    "\n",
-    "backtest_date_ranges = [BacktestDateRange(name=\"total_date_range\", start_date=total_date_range[0], end_date=total_date_range[1])]\n",
-    "\n",
-    "# Detect up and down trends \n",
-    "total_data_pandas_df = convert_polars_to_pandas(total_data_polars_df)\n",
-    "trends = detect_up_and_downtrends(total_data_pandas_df)\n",
-    "\n",
-    "for tred_indicator in trends:\n",
-    "    backtest_date_ranges.append(\n",
-    "        BacktestDateRange(name=tred_indicator, start_date=trends[tred_indicator][0], end_date=trends[tred_indicator][1])\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Visualize all the data with strategy indicators"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "/Users/marcvanduyn/Projects/LogicFunds/investing-algorithm-framework/examples/example_strategies/macd_wr/data\n",
-      "/Users/marcvanduyn/Projects/LogicFunds/investing-algorithm-framework/examples/example_strategies/macd_wr/data\n"
-     ]
-    },
-    {
-     "ename": "TypeError",
-     "evalue": "create_storage_file_path() got an unexpected keyword argument 'time_frame'",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
-      "Cell \u001b[0;32mIn[3], line 13\u001b[0m\n\u001b[1;32m     11\u001b[0m end_date \u001b[38;5;241m=\u001b[39m datetime(year\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2024\u001b[39m, month\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m6\u001b[39m, day\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m     12\u001b[0m \u001b[38;5;28mprint\u001b[39m(one_day_btc_eur_data_source\u001b[38;5;241m.\u001b[39mget_storage_path())\n\u001b[0;32m---> 13\u001b[0m df \u001b[38;5;241m=\u001b[39m \u001b[43mone_day_btc_eur_data_source\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_data\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstart_date\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstart_date_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mend_date\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mend_date\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mwindow_size\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m200\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m     14\u001b[0m df \u001b[38;5;241m=\u001b[39m convert_polars_to_pandas(df)\n\u001b[1;32m     16\u001b[0m \u001b[38;5;66;03m# Add entire DataFrame to the trend_data_ranges\u001b[39;00m\n",
-      "File \u001b[0;32m~/Projects/LogicFunds/investing-algorithm-framework/investing_algorithm_framework/infrastructure/models/market_data_sources/ccxt.py:519\u001b[0m, in \u001b[0;36mCCXTOHLCVMarketDataSource.get_data\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m    517\u001b[0m \u001b[38;5;66;03m# if storage path is set, write the data to the storage path\u001b[39;00m\n\u001b[1;32m    518\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m storage_path \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 519\u001b[0m     \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwrite_data_to_storage\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    520\u001b[0m \u001b[43m        \u001b[49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    521\u001b[0m \u001b[43m        \u001b[49m\u001b[43mstorage_path\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstorage_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    522\u001b[0m \u001b[43m        \u001b[49m\u001b[43msymbol\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msymbol\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    523\u001b[0m \u001b[43m        \u001b[49m\u001b[43mtime_frame\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtimeframe\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    524\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfrom_timestamp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstart_date\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    525\u001b[0m \u001b[43m        \u001b[49m\u001b[43mto_timestamp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mend_date\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    526\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmarket\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmarket\u001b[49m\n\u001b[1;32m    527\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    529\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m data\n",
-      "File \u001b[0;32m~/Projects/LogicFunds/investing-algorithm-framework/investing_algorithm_framework/infrastructure/models/market_data_sources/ccxt.py:610\u001b[0m, in \u001b[0;36mCCXTOHLCVMarketDataSource.write_data_to_storage\u001b[0;34m(self, data, storage_path, symbol, time_frame, from_timestamp, to_timestamp, market)\u001b[0m\n\u001b[1;32m    607\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39misdir(storage_path):\n\u001b[1;32m    608\u001b[0m     os\u001b[38;5;241m.\u001b[39mmkdir(storage_path)\n\u001b[0;32m--> 610\u001b[0m file_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate_storage_file_path\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    611\u001b[0m \u001b[43m    \u001b[49m\u001b[43mstorage_path\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstorage_path\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    612\u001b[0m \u001b[43m    \u001b[49m\u001b[43msymbol\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msymbol\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    613\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtime_frame\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtime_frame\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    614\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfrom_timestamp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfrom_timestamp\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    615\u001b[0m \u001b[43m    \u001b[49m\u001b[43mto_timestamp\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mto_timestamp\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    616\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmarket\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmarket\u001b[49m\n\u001b[1;32m    617\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    619\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39misfile(file_path):\n\u001b[1;32m    620\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m\n",
-      "\u001b[0;31mTypeError\u001b[0m: create_storage_file_path() got an unexpected keyword argument 'time_frame'"
-     ]
-    }
-   ],
-   "source": [
-    "import numpy as np\n",
-    "import ipywidgets as widgets\n",
-    "from IPython.display import display\n",
-    "import plotly.graph_objects as go\n",
-    "from investing_algorithm_framework.indicators import get_sma\n",
-    "\n",
-    "# Add sma 50 and sma 200\n",
-    "total_data_pandas_df = get_sma(total_data_pandas_df, period=50, source_column_name=\"Close\", result_column_name=\"SMA_50\")\n",
-    "total_data_pandas_df = get_sma(total_data_pandas_df, period=200, source_column_name=\"Close\", result_column_name=\"SMA_200\")\n",
-    "\n",
-    "# Create tabbed results\n",
-    "tab_contents = []\n",
-    "tab_titles = []\n",
-    "\n",
-    "for i, date_range in enumerate(backtest_date_ranges):\n",
-    "\n",
-    "    if date_range.up_trend is None and date_range.down_trend is None:\n",
-    "        title = f\"All Data\"\n",
-    "    else:\n",
-    "        if date_range.up_trend:\n",
-    "            title = f\"Up Trend ({date_range.start_date.date()} to {date_range.end_date.date()})\"\n",
-    "        else:\n",
-    "            title = f\"Down Trend ({date_range.start_date.date()} to {date_range.end_date.date()})\"\n",
-    "\n",
-    "    tab_titles.append(title)\n",
-    "    \n",
-    "    # Slice DataFrame for the date range\n",
-    "    df_slice = total_data_pandas_df.loc[date_range.start_date:date_range.end_date]    \n",
-    "\n",
-    "    # Add price graph\n",
-    "    graph = go.Scatter(\n",
-    "        x=df_slice.index,\n",
-    "        y=df_slice[\"Close\"],\n",
-    "        mode='lines',\n",
-    "        line=dict(color=\"blue\", width=2),\n",
-    "        name=\"Close Price\"\n",
-    "    )\n",
-    "\n",
-    "    # Add 50-day moving average graph\n",
-    "    graph_sma_50 = go.Scatter(\n",
-    "        x=df_slice.index,\n",
-    "        y=df_slice[f\"SMA_50\"],\n",
-    "        mode='lines',\n",
-    "        line=dict(color=\"red\", width=2),\n",
-    "        name=\"50-day SMA\"\n",
-    "    )\n",
-    "\n",
-    "    # Add 200-day moving average graph\n",
-    "    graph_sma_200 = go.Scatter(\n",
-    "        x=df_slice.index,\n",
-    "        y=df_slice[f\"SMA_200\"],\n",
-    "        mode='lines',\n",
-    "        line=dict(color=\"green\", width=2),\n",
-    "        name=\"200-day SMA\"\n",
-    "    )\n",
-    "\n",
-    "    # Create a Plotly figure for the DataFrame slice\n",
-    "    fig = go.FigureWidget()\n",
-    "    fig.add_trace(graph)\n",
-    "    fig.add_trace(graph_sma_50)\n",
-    "    fig.add_trace(graph_sma_200)\n",
-    "    fig.update_layout(\n",
-    "        title=f\"Close Prices from {date_range.start_date.date()} to {date_range.end_date.date()} ({date_range.name})\",\n",
-    "        xaxis_title='Date',\n",
-    "        yaxis_title='Close Price'\n",
-    "    )\n",
-    "    \n",
-    "    # Create a widget for the Plotly figure\n",
-    "    tab_contents.append(widgets.Output())\n",
-    "    \n",
-    "    with tab_contents[-1]:\n",
-    "        display(fig)\n",
-    "\n",
-    "# Create and display tabs\n",
-    "tabs = widgets.Tab()\n",
-    "tabs.children = tab_contents\n",
-    "\n",
-    "for i, title in enumerate(tab_titles):\n",
-    "    tabs.set_title(i, title)\n",
-    "\n",
-    "display(tabs)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Add strategy indicators and visualize the data\n",
-    "\n",
-    "We will add the RSI and ADX indicators to the data so we can visualize the data and determine how the strategy performs in different market conditions. We will use the `ta` library to calculate the RSI and ADX indicators."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from plotly import graph_objects as go\n",
-    "from investing_algorithm_framework.indicators import get_peaks\n",
-    "import pandas as pd\n",
-    "\n",
-    "def create_macd_chart(data: pd.DataFrame):\n",
-    "\n",
-    "    # Check if the index is of type datetime\n",
-    "    if not isinstance(data.index, pd.DatetimeIndex):\n",
-    "        raise ValueError(\"The index of the data should be of type datetime\")\n",
-    "\n",
-    "    # Check if the data has the required columns\n",
-    "    if 'MACD' not in data.columns:\n",
-    "        raise ValueError(\"The data should have a 'MACD' column\")\n",
-    "    if 'MACD_SIGNAL' not in data.columns:\n",
-    "        raise ValueError(\"The data should have a 'MACD_SIGNAL' column\")\n",
-    "    \n",
-    "    # Create crossover signals\n",
-    "    bearish_crossover_index = data[(data['MACD'] < data['MACD_SIGNAL']) & (data['MACD'].shift(1) > data['MACD_SIGNAL'].shift(1))].index\n",
-    "    bearish_crossover_values = data.loc[bearish_crossover_index, 'MACD']\n",
-    "    bullish_crossunder_index = data[(data['MACD'] > data['MACD_SIGNAL']) & (data['MACD'].shift(1) < data['MACD_SIGNAL'].shift(1))].index\n",
-    "    bullish_crossunder_values = data.loc[bullish_crossunder_index, 'MACD']\n",
-    "\n",
-    "    bearish_crossover_graph = go.Scatter(\n",
-    "        x=bearish_crossover_index,\n",
-    "        y=bearish_crossover_values,\n",
-    "        mode='markers',\n",
-    "        marker=dict(symbol='circle', size=10, color='red'),\n",
-    "        name='MACD bearish Crossover'\n",
-    "    )\n",
-    "\n",
-    "    bullish_crossunder_graph = go.Scatter(\n",
-    "        x=bullish_crossunder_index,\n",
-    "        y=bullish_crossunder_values,\n",
-    "        mode='markers',\n",
-    "        marker=dict(symbol='circle', size=10, color='green'),\n",
-    "        name='MACD bullish Crossover'\n",
-    "    )\n",
-    "\n",
-    "    # Add MACD line\n",
-    "    macd_graph = go.Scatter(\n",
-    "        x=data.index,\n",
-    "        y=data['MACD'],\n",
-    "        mode='lines',\n",
-    "        name='MACD'\n",
-    "    )\n",
-    "\n",
-    "    # Add MACD Signal line\n",
-    "    macd_signal_graph = go.Scatter(\n",
-    "        x=data.index,\n",
-    "        y=data['MACD_SIGNAL'],\n",
-    "        mode='lines',\n",
-    "        name='MACD Signal'\n",
-    "    )\n",
-    "\n",
-    "    # Add MACD Histogram\n",
-    "    macd_histogram_graph = go.Bar(\n",
-    "        x=data.index,\n",
-    "        y=data['MACD_HISTOGRAM'],\n",
-    "        name='MACD Histogram'\n",
-    "    )\n",
-    "\n",
-    "    return macd_graph, macd_signal_graph, macd_histogram_graph, bearish_crossover_graph, bullish_crossunder_graph\n",
-    "\n",
-    "\n",
-    "def create_peaks_chart(data: pd.DataFrame, key):\n",
-    "\n",
-    "    # Check if the index is of type datetime\n",
-    "    if not isinstance(data.index, pd.DatetimeIndex):\n",
-    "        raise ValueError(\"The index of the data should be of type datetime\")\n",
-    "\n",
-    "    keys = [f'{key}_highs', f'{key}_lows']\n",
-    "\n",
-    "    for key_column in keys:\n",
-    "        if key_column not in data.columns:\n",
-    "            raise ValueError(f\"The data should have a '{key_column}' column\")\n",
-    "\n",
-    "    # Get all peak indexes\n",
-    "    hh_close_index = data[data[f'{key}_highs'] == 1].index\n",
-    "    lh_close_index = data[data[f'{key}_highs'] == -1].index\n",
-    "    ll_close_index = data[data[f'{key}_lows'] == 1].index\n",
-    "    hl_close_index = data[data[f'{key}_lows'] == -1].index\n",
-    "\n",
-    "    # Subtract for each index 10 hours\n",
-    "    hh_close_index = hh_close_index - pd.Timedelta(hours=2 * 3)\n",
-    "    lh_close_index = lh_close_index - pd.Timedelta(hours=2 * 3)\n",
-    "    ll_close_index = ll_close_index - pd.Timedelta(hours=2 * 3)\n",
-    "    hl_close_index = hl_close_index - pd.Timedelta(hours=2 * 3)\n",
-    "\n",
-    "    # Function to find nearest values\n",
-    "    def get_nearest_values(indexes, data, key):\n",
-    "        values = []\n",
-    "        for idx in indexes:\n",
-    "            if idx in data.index:\n",
-    "                values.append(data.loc[idx, key])\n",
-    "            else:\n",
-    "                nearest_idx = data.index.get_indexer([idx], method='nearest')\n",
-    "                if nearest_idx[0] != -1:\n",
-    "                    values.append(data.iloc[nearest_idx[0]][key])\n",
-    "        return values\n",
-    "\n",
-    "    # Use the function to get the corresponding 'Close' values\n",
-    "    hh_close_values = get_nearest_values(hh_close_index, data, key)\n",
-    "    lh_close_values = get_nearest_values(lh_close_index, data, key)\n",
-    "    ll_close_values = get_nearest_values(ll_close_index, data, key)\n",
-    "    hl_close_values = get_nearest_values(hl_close_index, data, key)\n",
-    "\n",
-    "    # Add higher highs\n",
-    "    higher_high_graph = go.Scatter(\n",
-    "        x=hh_close_index,\n",
-    "        # x=dates[hh_close_index - order].values,\n",
-    "        y=hh_close_values,\n",
-    "        mode='markers',\n",
-    "        marker=dict(symbol='circle', size=5, color='blue'),\n",
-    "        name='Higher High Confirmation'\n",
-    "    )\n",
-    "\n",
-    "    # Add lower highs\n",
-    "    lower_high_graph = go.Scatter(\n",
-    "        x=lh_close_index,\n",
-    "        y=lh_close_values,\n",
-    "        mode='markers',\n",
-    "        marker=dict(symbol='circle', size=5, color='red'),\n",
-    "        name='Lower High Confirmation'\n",
-    "    )\n",
-    "\n",
-    "    # Add lower lows\n",
-    "    lower_lows_graph = go.Scatter(\n",
-    "        x=ll_close_index,\n",
-    "        y=ll_close_values,\n",
-    "        mode='markers',\n",
-    "        marker=dict(symbol='circle', size=5, color='green'),\n",
-    "        name='Lower Lows Confirmation'\n",
-    "    )\n",
-    "\n",
-    "    # Add higher lows\n",
-    "    higher_lows = go.Scatter(\n",
-    "        x=hl_close_index,\n",
-    "        y=hl_close_values,\n",
-    "        mode='markers',\n",
-    "        marker=dict(symbol='circle', size=5, color='purple'),\n",
-    "        name='Higher Lows Confirmation'\n",
-    "    )\n",
-    "\n",
-    "    return higher_high_graph, lower_high_graph, lower_lows_graph, higher_lows\n",
-    "\n",
-    "def create_entry_graph(data: pd.DataFrame):\n",
-    "    \"\"\"\n",
-    "    Create an entry graph indicating bullish crossover signals.\n",
-    "    \"\"\"\n",
-    "    entry_indexes = []\n",
-    "\n",
-    "    for idx, row in enumerate(data.itertuples(index=True), start=1):\n",
-    "        selected_rows = data.iloc[:idx]\n",
-    "\n",
-    "        # Check if there is a bullish crossover between MACD and MACD Signal line\n",
-    "        if Strategy.is_crossover(selected_rows, \"MACD\", \"MACD_SIGNAL\"):\n",
-    "            # Get the last higher high or lower high index\n",
-    "            # Select the rows where WILLR_highs is either -1 or 1\n",
-    "            peaks = selected_rows[(data['WILLR_highs'] == -1) | (selected_rows['WILLR_highs'] == 1)]\n",
-    "\n",
-    "            if len(peaks) == 0 or row.WILLR > -20 or row.MACD == 0:\n",
-    "                continue\n",
-    "            \n",
-    "            # Select the last row from the filtered data\n",
-    "            last_row = peaks.iloc[-1]\n",
-    "            \n",
-    "            # Check if the peak was within the last 12 rows\n",
-    "            if last_row.name in data.index[max(0, idx-24):idx]:\n",
-    "                entry_indexes.append(row.Index)  # Append the actual index value\n",
-    "\n",
-    "    entry_close_values = data.loc[entry_indexes, 'Close']\n",
-    "\n",
-    "    return go.Scatter(\n",
-    "        x=entry_indexes,\n",
-    "        y=entry_close_values,\n",
-    "        mode='markers',\n",
-    "        marker=dict(symbol='circle', size=10, color='green'),\n",
-    "        name='Entry Signal'\n",
-    "    )\n",
-    "\n",
-    "def create_entry_graph_v2(data: pd.DataFrame):\n",
-    "    \"\"\"\n",
-    "    Create an entry graph indicating bullish crossover signals.\n",
-    "    \"\"\"\n",
-    "    entry_indexes = []\n",
-    "\n",
-    "    for idx, row in enumerate(data.itertuples(index=True), start=1):\n",
-    "        selected_rows = data.iloc[:idx]\n",
-    "\n",
-    "        # Check if there is a bullish crossover between MACD and MACD Signal line\n",
-    "        if Strategy.is_crossover(selected_rows, \"MACD\", \"MACD_SIGNAL\") and row.WILLR < -30:\n",
-    "\n",
-    "            if row.WILLR > -20 or row.MACD == 0:\n",
-    "                continue\n",
-    "        \n",
-    "            entry_indexes.append(row.Index)  # Append the actual index value\n",
-    "\n",
-    "    entry_close_values = data.loc[entry_indexes, 'Close']\n",
-    "\n",
-    "    return go.Scatter(\n",
-    "        x=entry_indexes,\n",
-    "        y=entry_close_values,\n",
-    "        mode='markers',\n",
-    "        marker=dict(symbol='circle', size=10, color='green'),\n",
-    "        name='Entry Signal'\n",
-    "    )\n",
-    "\n",
-    "def create_entry_graph_v3(data: pd.DataFrame):\n",
-    "    \"\"\"\n",
-    "    Create an entry graph indicating bullish crossover signals.\n",
-    "    \"\"\"\n",
-    "    entry_indexes = []\n",
-    "\n",
-    "    for idx, row in enumerate(data.itertuples(index=True), start=1):\n",
-    "        selected_rows = data.iloc[:idx]\n",
-    "\n",
-    "        # Check if there is a bullish crossover between MACD and MACD Signal line\n",
-    "        if Strategy.is_crossover(selected_rows, \"MACD\", \"MACD_SIGNAL\") and row.WILLR < -30:\n",
-    "\n",
-    "            if row.WILLR > -20 or row.MACD == 0:\n",
-    "                continue\n",
-    "\n",
-    "            # Select the rows where WILLR_highs is either -1 or 1\n",
-    "            peaks = selected_rows[(data['WILLR_highs'] == -1) | (selected_rows['WILLR_highs'] == 1)]\n",
-    "            \n",
-    "            # Select the last higher high or lower high index\n",
-    "            if len(peaks) == 0:\n",
-    "                continue\n",
-    "\n",
-    "            # Select the last row from the filtered data\n",
-    "            last_peak_row = peaks.iloc[-1]\n",
-    "\n",
-    "            # Caclulate the slope between the current row WILLR and the last peak WILLR\n",
-    "            # 2 hours\n",
-    "            delta = (row.Index - last_peak_row.name).total_seconds() / 7200\n",
-    "\n",
-    "            if delta == 0:\n",
-    "                continue\n",
-    "            \n",
-    "            slope = Strategy.calculate_slope(((row.WILLR, delta), (last_peak_row.WILLR, 0)))\n",
-    "\n",
-    "            if slope < -0.5:\n",
-    "            # Slope should be smaller then negative 0.5, meaning a large decrease in the WILLR value\n",
-    "                entry_indexes.append(row.Index)  # Append the actual index value\n",
-    "\n",
-    "    entry_close_values = data.loc[entry_indexes, 'Close']\n",
-    "\n",
-    "    return go.Scatter(\n",
-    "        x=entry_indexes,\n",
-    "        y=entry_close_values,\n",
-    "        mode='markers',\n",
-    "        marker=dict(symbol='circle', size=10, color='green'),\n",
-    "        name='Entry Signal'\n",
-    "    )\n",
-    "\n",
-    "\n",
-    "def create_exit_graph(data: pd.DataFrame):\n",
-    "    \"\"\"\n",
-    "    \"\"\"\n",
-    "    exit_indexes = []\n",
-    "\n",
-    "    for idx, row in enumerate(data.itertuples(index=True), start=1):\n",
-    "        selected_rows = data.iloc[:idx]\n",
-    "\n",
-    "        # Check if there is a bearish crossover between MACD and MACD Signal line\n",
-    "        if Strategy.is_crossunder(selected_rows, \"MACD\", \"MACD_SIGNAL\") or row.WILLR > -20:\n",
-    "        \n",
-    "            # # Check if in the past 12 rows (24 hours) there was a crossover above the -50 range of the Williams %R\n",
-    "            # selection = data.iloc[max(0, idx-12):idx]\n",
-    "\n",
-    "            # if Strategy.has_crossed_upward(selection, \"WILLR\", -50):\n",
-    "            exit_indexes.append(row.Index)\n",
-    "        \n",
-    "    exit_close_values = data.loc[exit_indexes, 'Close']\n",
-    "    return go.Scatter(\n",
-    "        x=exit_indexes,\n",
-    "        y=exit_close_values,\n",
-    "        mode='markers',\n",
-    "        marker=dict(symbol='circle', size=10, color='red'),\n",
-    "        name='Entry Signal'\n",
-    "    )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c0d48799e6474d29a06a258351c9c723",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Tab(children=(Output(), Output(), Output(), Output(), Output(), Output()), selected_index=0, titles=('Range (A…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from plotly.subplots import make_subplots\n",
-    "from plotly import graph_objects as go\n",
-    "from investing_algorithm_framework.indicators import get_peaks\n",
-    "from strategy import Strategy\n",
-    "\n",
-    "df = Strategy.add_macd(df)\n",
-    "df = Strategy.add_willr(df)\n",
-    "df = get_peaks(df, key=\"WILLR\", order=3, k=2)\n",
-    "\n",
-    "# Create tabbed results\n",
-    "tab_contents = []\n",
-    "tab_titles = []\n",
-    "\n",
-    "for i, date_range in enumerate(trend_data_ranges):\n",
-    "    title = f\"Range ({date_range.name} {date_range.start_date.date()} to {date_range.end_date.date()})\"\n",
-    "    tab_titles.append(title)\n",
-    "    \n",
-    "    # Slice DataFrame for the date range\n",
-    "    df_slice = df.loc[date_range.start_date:date_range.end_date]    \n",
-    "\n",
-    "    # Add price graph\n",
-    "    close_price = go.Scatter(\n",
-    "        x=df_slice.index,\n",
-    "        y=df_slice[\"Close\"],\n",
-    "        mode='lines',\n",
-    "        line=dict(color=\"blue\", width=2),\n",
-    "        name=\"Close Price\"\n",
-    "    )\n",
-    "\n",
-    "    # Add Williams%R graph\n",
-    "    willr_graph = go.Scatter(\n",
-    "        x=df_slice.index,\n",
-    "        y=df_slice[\"WILLR\"],\n",
-    "        mode='lines',\n",
-    "        line=dict(color=\"orange\", width=2),\n",
-    "        name=\"Williams%R\"\n",
-    "    )\n",
-    "\n",
-    "    willr_higher_high_graph, willr_lower_high_graph, willr_lower_lows_graph, willr_higher_lows = create_peaks_chart(df_slice, key=\"WILLR\")\n",
-    "    macd_graph, macd_signal_graph, macd_histogram_graph, bearish_crossover_graph, bullish_crossover_graph = create_macd_chart(df_slice)\n",
-    "\n",
-    "    # Create a Plotly figure for the DataFrame slice\n",
-    "    fig = make_subplots(rows=4, cols=1, shared_xaxes=True, vertical_spacing=0.2)\n",
-    "    fig.add_trace(close_price, row=1, col=1)\n",
-    "    fig.add_trace(willr_graph, row=2, col=1)\n",
-    "    fig.add_trace(macd_graph, row=3, col=1)\n",
-    "    fig.add_trace(macd_signal_graph, row=3, col=1)\n",
-    "    # fig.add_trace(macd_histogram_graph, row=3, col=1)\n",
-    "    fig.add_trace(bearish_crossover_graph, row=3, col=1)\n",
-    "    fig.add_trace(bullish_crossover_graph, row=3, col=1)\n",
-    "    fig.add_trace(willr_higher_high_graph, row=4, col=1)\n",
-    "    fig.add_trace(willr_lower_high_graph, row=4, col=1)\n",
-    "    fig.add_trace(willr_lower_lows_graph, row=4, col=1)\n",
-    "    fig.add_trace(willr_higher_lows, row=4, col=1)\n",
-    "    fig.add_trace(willr_graph, row=4, col=1)\n",
-    "    # fig.add_trace(create_entry_graph(data=df_slice), row=1, col=1)\n",
-    "    # fig.add_trace(create_entry_graph_v2(data=df_slice), row=5, col=1)\n",
-    "    fig.update_layout(\n",
-    "        title=f\"Close Prices from {date_range.start_date.date()} to {date_range.end_date.date()} ({date_range.name})\",\n",
-    "        xaxis_title='Date',\n",
-    "        yaxis_title='Close Price'\n",
-    "    )\n",
-    "    \n",
-    "    widget = go.FigureWidget(fig)\n",
-    "    # Create a widget for the Plotly figure\n",
-    "    tab_contents.append(widgets.Output())\n",
-    "    \n",
-    "    with tab_contents[-1]:\n",
-    "        display(widget)\n",
-    "\n",
-    "# Create and display tabs\n",
-    "tabs = widgets.Tab()\n",
-    "tabs.children = tab_contents\n",
-    "\n",
-    "for i, title in enumerate(tab_titles):\n",
-    "    tabs.set_title(i, title)\n",
-    "\n",
-    "display(tabs)\n",
-    "# for i, date_range in enumerate(date_ranges):\n",
-    "#     start_date = date_range.start_date\n",
-    "#     end_date = date_range.end_date\n",
-    "#     df = data_source.get_data(start_date=start_date, window_size=200)\n",
-    "#     df = convert_polars_to_pandas(df)\n",
-    "    # df = Strategy.add_macd(df)\n",
-    "    # df = Strategy.add_willr(df)\n",
-    "    # df = get_peaks(df, key=\"WILLR\", order=3, k=2)\n",
-    "#     widget = go.FigureWidget()\n",
-    "#     fig = make_subplots(rows=5, cols=1, shared_xaxes=True, vertical_spacing=0.02)\n",
-    "#     fig.add_trace(create_prices_graph(df), row=1, col=1)\n",
-    "#     fig.add_trace(create_prices_graph(df), row=2, col=1)\n",
-    "#     fig.add_trace(create_prices_graph(df), row=3, col=1)\n",
-    "#     willr_higher_high_graph, willr_lower_high_graph, willr_lower_lows_graph, willr_higher_lows = \\\n",
-    "#         create_peaks_chart(df, key=\"WILLR\")\n",
-    "#     macd_graph, macd_signal_graph, macd_histogram_graph, bearish_crossover_graph, bullish_crossover_graph = create_macd_chart(df)\n",
-    "#     fig.add_trace(macd_graph, row=4, col=1)\n",
-    "#     fig.add_trace(macd_signal_graph, row=4, col=1)\n",
-    "#     fig.add_trace(macd_histogram_graph, row=4, col=1)\n",
-    "#     fig.add_trace(bearish_crossover_graph, row=4, col=1)\n",
-    "#     fig.add_trace(bullish_crossover_graph, row=4, col=1)\n",
-    "#     fig.add_trace(willr_higher_high_graph, row=5, col=1)\n",
-    "#     fig.add_trace(willr_lower_high_graph, row=5, col=1)\n",
-    "#     fig.add_trace(willr_lower_lows_graph, row=5, col=1)\n",
-    "#     fig.add_trace(willr_higher_lows, row=5, col=1)\n",
-    "#     fig.add_trace(create_line_graph(data=df, data_key=\"WILLR\", color=\"red\", graph_name=\"Williams%R\"), row=5, col=1)\n",
-    "#     fig.add_trace(create_entry_graph_v2(data=df), row=2, col=1)\n",
-    "#     fig.add_trace(create_entry_graph_v3(data=df), row=3, col=1)\n",
-    "\n",
-    "#     # fig.add_trace(create_exit_graph(data=df), row=1, col=1)\n",
-    "#     # fig.add_trace(create_exit_graph(data=df), row=2, col=1)\n",
-    "#     fig.update_layout(\n",
-    "#         title={'text': f'Date range: \"{date_range.name}\" Metrics and entry points', 'x':0.5},\n",
-    "#         autosize=True,\n",
-    "#         height=1000\n",
-    "#     )\n",
-    "#     fig.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "import pandas as pd\n",
-    "from scipy.signal import argrelextrema\n",
-    "\n",
-    "\n",
-    "n = 8 # number of points to be checked before and after\n",
-    "\n",
-    "# Find local peaks\n",
-    "df[\"hh\"] =  df.iloc[argrelextrema(df[\"WILLR\"].values, np.greater_equal, order=n)[0]]['WILLR']\n",
-    "df[\"ll\"] =  df.iloc[argrelextrema(df[\"WILLR\"].values, np.less, order=n)[0]]['WILLR']\n",
-    "df[\"lh\"] = df.iloc[argrelextrema(df[\"WILLR\"].values, np.greater, order=n)[0]]['WILLR']\n",
-    "df[\"hl\"] = df.iloc[argrelextrema(df[\"WILLR\"].values, np.less, order=n)[0]]['WILLR']\n",
-    "\n",
-    "# df['min'] = df.iloc[argrelextrema(df[\"WILLR\"].values, np.less_equal, order=n)[0]]['WILLR']\n",
-    "# df['max'] = df.iloc[argrelextrema(df[\"WILLR\"].values, np.greater_equal,\n",
-    "#                     order=n)[0]]['WILLR']\n",
-    "\n",
-    "# Plot results\n",
-    "plt.scatter(df.index, df['hh'], c='r')\n",
-    "plt.scatter(df.index, df['ll'], c='g')\n",
-    "plt.scatter(df.index, df['lh'], c='b')\n",
-    "plt.scatter(df.index, df['hl'], c='y')\n",
-    "plt.plot(df.index, df['WILLR'])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "investing-algorithm-framework-ygOLr3-a-py3.9",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/examples/example_strategies/macd_wr/strategy.py b/examples/example_strategies/macd_wr/strategy.py
deleted file mode 100644
index f5322098..00000000
--- a/examples/example_strategies/macd_wr/strategy.py
+++ /dev/null
@@ -1,224 +0,0 @@
-from investing_algorithm_framework import CCXTOHLCVMarketDataSource, \
-    TradingStrategy, TimeUnit, CCXTTickerMarketDataSource, Algorithm
-from investing_algorithm_framework.indicators import get_peaks
-from typing import Tuple
-from datetime import datetime
-import pandas as pd
-from pandas import to_datetime
-import numpy as np
-from scipy.signal import argrelextrema
-from collections import deque
-import tulipy as tp
-
-ohlcv_2h_data_source = CCXTOHLCVMarketDataSource(
-    identifier="BTC/EUR_OHLCV",
-    symbol="BTC/EUR",
-    market="BITVAVO",
-    timeframe="2h",
-    window_size=200,
-)
-ticker_data_source = CCXTTickerMarketDataSource(
-    identifier="BTC/EUR_TICKER",
-    symbol="BTC/EUR",
-    market="BITVAVO",
-    backtest_timeframe="2h"
-)
-
-
-class Strategy(TradingStrategy):
-    """
-    Implementation of TradingStrategy that uses RSI and ADX metrics.
-    The strategy is parameterized in order to do experiments with it.
-    This allows you to test the strategy with different configurations.
-
-    STRATEGY OUTLINE:
-
-    Uptrend determination:
-        - The ema_50 is above the ema_100
-
-    Downtrend determination:
-        - The ema_50 is below the ema_100
-
-    Buy Signal on uptrend:
-        - The +DI crosses above the -DI + one of the following
-        conditions is met:
-            - If in the last 2 days there is a bullish divergence
-                (higher low and lower low) between the RSI_lows and
-                the close price lows
-            - If the RSI has decreased significantly in the last day
-                (RSI_diff < -2)
-
-    Buy Signal on downtrend:
-        - The -DI crosses above the +DI + one of the following conditions
-        is met:
-            - If in the last 2 days there is a bearish divergence
-                (higher high and lower high) between the RSI_highs and
-                the close price highs
-            - If the ADX has decreased significantly in the last day
-                (ADX_diff < -1)
-
-    Sell Signal on uptrend:
-        - The -DI crosses above the +DI + one of the following conditions
-        is met:
-            - If in the last 2 days there is a bearish divergence
-                (higher high and lower high) between the RSI_highs and
-                the close price highs
-            - If the ADX has decreased significantly in the last day
-                (ADX_diff < -1)
-
-    Sell Signal on downtrend:
-        - The -DI crosses above the +DI + one of the following conditions
-        is met:
-            - If in the last 7 days there is a bearish divergence
-                (higher high and lower high) between the RSI_highs and
-                the close price highs
-            - If the ADX has decreased significantly in the last day
-                (ADX_diff < -1)
-    Additional Conditions:
-        if the stop loss is triggered, the trade is closed.
-        Stop loss is set at 6%.
-
-    Args:
-
-    """
-    market_data_sources = [ohlcv_2h_data_source, ticker_data_source]
-    symbols = ["BTC/EUR"]
-    time_unit = TimeUnit.HOUR
-    interval = 2
-
-    def __init__(self):
-        super(Strategy, self).__init__()
-
-
-    def apply_strategy(self, algorithm, market_data):
-        pass
-    
-    @staticmethod
-    def add_willr(data, period=14):
-        # Calculate williams%R
-        willr_values = tp.willr(data["High"].to_numpy(), data["Low"].to_numpy(), data["Close"].to_numpy(), period=period)
-
-        # Pad NaN values for initial rows with a default value, e.g., 0
-        willr_values = np.concatenate((np.full(period - 1, 0), willr_values))
-
-        # Assign RSI values to the DataFrame
-        data["WILLR"] = willr_values
-        return data
-
-    @staticmethod
-    def add_macd(data, short_period=12, long_period=26, signal_period=9):
-        """
-        Calculates macd, macd_signal, macd_histogram
-        """
-        # Calculate MACD 
-        macd, macd_signal, macd_histogram  = tp.macd(real=data["Close"].to_numpy(), short_period=short_period, long_period=long_period, signal_period=signal_period)
-
-        # Pad NaN values for initial rows with a default value, e.g., 0
-        macd = np.concatenate((np.full(long_period - 1, 0), macd))
-        macd_signal = np.concatenate((np.full(long_period - 1, 0), macd_signal))
-        macd_histogram = np.concatenate((np.full(long_period - 1, 0), macd_histogram))
-
-
-        # Assign RSI values to the DataFrame
-        data["MACD"] = macd
-        data["MACD_SIGNAL"] = macd_signal
-        data["MACD_HISTOGRAM"] = macd_histogram
-        return data
-
-    @staticmethod
-    def is_crossover(data, key1, key2):
-        """
-        Check if the given keys have crossed over.
-        """
-
-        if len(data) < 2:
-            return False
-    
-        return data[key1].iloc[-1] >= data[key2].iloc[-1] \
-            and data[key1].iloc[-2] <= data[key2].iloc[-2]    
-
-    @staticmethod
-    def is_crossunder(data, key1, key2):
-        """
-        Check if the given keys have crossed under.
-        """
-        if len(data) < 2:
-            return False
-        
-        return data[key1].iloc[-1] <= data[key2].iloc[-1] \
-            and data[key1].iloc[-2] >= data[key2].iloc[-2] 
-    
-    @staticmethod
-    def has_crossed_upward(data, key, threshold):
-        """
-        Check if for a given key in a data frame the values have crossed the given threshold upwards. 
-        Where there must be a (x_i) < threshold and (x_i + n) > threshold.
-        """
-        # Ensure the key exists in the DataFrame
-        if key not in data.columns:
-            raise KeyError(f"Key '{key}' not found in DataFrame")
-
-        # Identify where the values are below and above the threshold
-        below_threshold = data[key] < threshold
-        above_threshold = data[key] > threshold
-
-        # Check if there is any point where a value is below the threshold followed by a value above the threshold
-        crossed_upward = (below_threshold.shift(1, fill_value=False) & above_threshold).any()
-        return crossed_upward
-
-
-    @staticmethod
-    def detect_strong_decreases(df: pd.DataFrame, column: str, decrease_threshold: float):
-        """
-        Detect strong decreases in a specified column of a DataFrame.
-        This function finds sequences where the values decrease by at least decrease_threshold.
-        
-        Parameters:
-        - df: pd.DataFrame - The input pandas DataFrame.
-        - column: str - The column key to check for decreases.
-        - decrease_threshold: float - The threshold value for the total decrease.
-        
-        Returns:
-        - Boolean indicating there was a decrease in the 
-        """
-        decreases = []
-        start_index = None
-
-        for i in range(1, len(df)):
-            if start_index is None:
-                # Look for the start of a decrease
-                if df.iloc[i-1][column] - df.iloc[i][column] >= decrease_threshold:
-                    start_index = i - 1
-            else:
-                # Look for the end of a decrease
-                if df.iloc[i][column] <= df.iloc[start_index][column] - decrease_threshold:
-                    decreases.append((start_index, i))
-                    start_index = None
-                elif df.iloc[i][column] > df.iloc[start_index][column]:
-                    # Reset if the series goes back above the start_index value
-                    start_index = None
-
-        return decreases
-    
-    @staticmethod
-    def calculate_slope(points: Tuple[Tuple[float, float], Tuple[float, float]]):
-        """
-        Calculate the slope between two peaks in a 1D numpy array.
-    
-        Parameters:
-            points (Tuple(float, float)): A tuple containing the x and y values of the two peaks.
-    
-        Returns:
-            slope (float): The slope between the first two identified peaks.       
-        """
-        # Calculate the slope between the two points
-        x1, y1 = points[0]
-        x2, y2 = points[1]
-        delta_v = x2 - x1
-        delta_t = y2 - y1
-
-        if delta_t == 0:
-            raise ValueError("Delta time (delta_t) is zero, can't divide by zero")
-    
-        slope = delta_v / delta_t
-        return slope

From 8a515e19683c9ae137282e6dde9ed9c48e59498f Mon Sep 17 00:00:00 2001
From: marcvanduyn <marcvanduyn1@gmail.com>
Date: Mon, 29 Dec 2025 11:23:29 +0100
Subject: [PATCH 6/6] Update sidebar.js

---
 docusaurus/sidebar.js | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/docusaurus/sidebar.js b/docusaurus/sidebar.js
index cb9118c8..b741b8b7 100644
--- a/docusaurus/sidebar.js
+++ b/docusaurus/sidebar.js
@@ -87,6 +87,10 @@ const sidebars = {
             type: 'category',
             label: 'Advanced Concepts',
             items: [
+                {
+                    type: 'doc',
+                    id: 'Advanced Concepts/execution-logic',
+                },
                 {
                     type: 'doc',
                     id: 'Advanced Concepts/logging-configuration',