TradeBricks is a powerful yet intuitive low-code platform that democratizes algorithmic trading. Our visual drag-and-drop interface allows anyone—from beginners to experienced traders—to design, backtest, and optimize sophisticated trading strategies without writing a single line of code.
- No Coding Required: Build complex strategies using visual blocks
- Real Market Data: Backtest with accurate, split-adjusted historical data
- Instant Feedback: See performance metrics and trade visualizations immediately
- Learn As You Build: Perfect for learning algorithmic trading concepts
- Drag-and-Drop Interface: Easily place and connect strategy components
- Modular Building Blocks: Technical indicators, entry/exit signals, and order execution
- Real-Time Validation: Instant feedback on strategy structure and completeness
- High-Quality Financial Data: Real historical data from multiple reliable sources
- Split-Adjusted Prices: Accurate handling of stock splits and dividends
- Performance Metrics: Detailed analytics including return, drawdown, and trade statistics
- Interactive Visualizations: Charts showing equity curve, trade entries/exits, and more
- Stocks: Major US-listed companies like AAPL, MSFT, GOOGL, AMZN
- Cryptocurrencies: Major tokens including ETH, BTC, and ERC-20 tokens
- Automatic Split Adjustment: Historical prices correctly reflect corporate actions
- Pre-built Strategies: Moving average crossovers, RSI-based systems, and more
- Customizable Parameters: Easily adjust periods, thresholds, and other settings
- Learning Resources: Understand the logic behind successful trading approaches
- Node.js (v16+)
- npm or yarn
- MongoDB (local or Atlas)
# Clone the repository
git clone https://github.com/AdityaK-github/TradeBricks.git
cd TradeBricks
# Install backend dependencies
cd backend
npm install
# Install frontend dependencies
cd ../frontend
npm installCreate a .env file in the backend directory:
PORT=3000
MONGODB_URI=your_mongodb_connection_string
MARKET_DATA_API_KEY=your_alpha_vantage_api_key # Optional but recommended
# Start the backend server (from backend directory)
npm run dev
# Start the frontend development server (from frontend directory)
npm run devNavigate to http://localhost:5173 in your browser to start using TradeBricks!
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Start a New Strategy:
- Click "New Strategy" on the dashboard
- Give your strategy a name and description
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Build Your Logic:
- Drag a "Market Data" block onto the canvas (your data source)
- Add technical indicators (like Moving Averages, RSI, or MACD)
- Add comparison blocks to create trading signals
- Add order execution blocks to define entries and exits
- Connect blocks by dragging from outputs to inputs
-
Save Your Strategy:
- Click "Save Strategy" to store your design
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Select Your Strategy:
- Choose from your saved strategies in the sidebar
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Configure Backtest Parameters:
- Select an asset (stock or cryptocurrency)
- Set date range for the backtest
- Define initial capital
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Run and Analyze:
- Click "Run Backtest" to process your strategy against historical data
- View performance metrics including total return, drawdown, and win rate
- Analyze the equity curve and individual trades on the chart
- Export results or make strategy adjustments
- Modify indicator parameters (e.g., changing a 50-day MA to a 200-day MA)
- Adjust entry and exit conditions
- Compare multiple parameter sets to find the optimal combination
TradeBricks uses multiple high-quality data sources to ensure accurate backtesting:
- Primary Source: Alpha Vantage API with split-adjusted prices
- Secondary Source: Yahoo Finance API (fallback)
- Coverage: Major US stocks with adjustments for splits and dividends
- Primary Source: CryptoCompare API
- Secondary Source: Yahoo Finance (fallback)
- Token Support: Native crypto and ERC-20 tokens by address
- Prices are checked against expected ranges for major assets
- Split events are correctly accounted for in historical data
- Price anomalies are detected and reported before backtesting
- Market Data: Historical OHLCV (Open, High, Low, Close, Volume) data
- Custom Data: Import your own datasets (coming soon)
- Moving Averages: Simple, Exponential, Weighted
- Oscillators: RSI, Stochastic, MACD
- Volatility: Bollinger Bands, ATR
- Volume: OBV, Volume Profile
- Comparisons: Greater than, Less than, Crosses above/below
- Logic: AND, OR, NOT conditions
- Filters: Time-based, Volatility-based
- Market Orders: Buy/Sell at market price
- Position Sizing: Fixed amount, Percentage of capital
- Risk Management: Stop-loss, Take-profit
- React + TypeScript: Strong typing for reliable codebase
- ReactFlow: Powers the visual strategy builder
- Chart.js: Creates interactive performance visualizations
- TailwindCSS: Modern, responsive styling
- Dark Mode: Easy on the eyes during long strategy sessions
- Node.js + Express: Fast, scalable API server
- TypeScript: Type-safe backend code
- MongoDB: Flexible storage for strategies and backtests
- Market Data APIs: Multiple integrated data providers
- Backtest Engine: Efficient simulation of strategy performance
The platform supports various technical analysis concepts:
- Trend Following: Moving average systems, breakouts
- Mean Reversion: Overbought/oversold conditions
- Volatility-Based: Trading based on market volatility
- Multi-factor: Combining multiple signals for robust strategies
TradeBricks comes pre-loaded with example strategies:
- Golden Cross: 50/200 day moving average crossover system
- RSI Reversals: Trading oversold and overbought conditions
- Bollinger Band Reversals: Mean-reversion strategy
- MACD Momentum: Trend-following approach with momentum confirmation
- Paper Trading: Test strategies in real-time without financial risk
- Strategy Marketplace: Share and discover community-created strategies
- Advanced Optimization: Machine learning-based parameter optimization
- Extended Data Sources: Forex, futures, options, and alternative data
- Custom Blocks: Create your own strategy components
We welcome contributions to TradeBricks!
TradeBricks is released under the MIT License. See the LICENSE file for details.
Built with ❤️ by the AlgoManiacs Team
TradeBricks - Democratizing Algorithmic Trading