Heuristic trading strategy optimizer and tester. Uses backtrader for the actual simulation, deap for genetic algorithm-based optimization and a plug-in based strategy for ease of use and flexibility supporting external plugins using python-built in plugin system.

Adrena is a leverage trading perpetuals exchange on the Solana blockchain focusing on the gamification and competitiveness of trading.

This project is an algorithmic trading system that uses technical analysis tools to make trading decisions. It is built in C# and integrates with the NinjaTrader platform for executing trades. Algorithmic trading involves using automated systems to execute trading strategies in the financial markets.

ProfitBot is an automated trading system that uses advanced algorithms to maximize profits. It monitors market conditions, executes trades based on predefined criteria, and adapts to changing financial environments to enhance traders' profitability and efficiency.

Discover the trading in Python with many strategies, including deep learning approaches. TradingInPython is an open software platform that empowers traders with advanced tools for stock market analysis and trading strategies. Leverage data-driven insights and automate your trading decisions with an open, flexible solution.

Es un **bot de trading automático** para criptomonedas, que combina una interfaz gráfica intuitiva (PyQt5) con lógica de trading profesional.

加密货币行情策略报警系统, Cryptocurrency Market Strategy Alert System

ProfitBot-is-an-automated-trading-system-that-uses-advanced-algorithms-to-maximize-profits.-It-monitors-market-conditions,-executes-trades-based-on-predefined-criteria,-and-adapts-to-changing-financial-environments-to-enhance-traders'-profitability-and-efficiency.

ProfitBot-is-an-automated-trading-system-that-uses-advanced-algorithms-to-maximize-profits.-It-monitors-market-conditions,-executes-trades-based-on-predefined-criteria,-and-adapts-to-changing-financial-environments-to-enhance-traders'-profitability-and-efficiency.

Exploration of trading using Deep Q-Networks (DQN).