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This project provides an end-to-end workflow for researching and validating systematic trading strategies using historical market data. It is suitable for learning algorithmic trading concepts, rapid ...

Universal Pairs Trading System A Python backtesting framework for statistical arbitrage on cointegrated asset pairs. Implements mean-reversion signal generation, ATR-based risk management, and ...

PyBroker: Algorithmic trading in Python with Machine Learning. Grab the Python code from GitHub: Key features: • Free historical data • Includes walk forward analysis • A super-fast backtesting engine ...

Lumibot unifies backtesting and live trading under one roof — running the exact same Python strategy code across stocks, options, crypto, futures, and forex. What sets it apart? Its AI agent runtime ...

Learn essential Nmap commands for network scanning, port discovery, and OS detection. Complete guide with examples and a ...