A fully developed and backtested stock trading strategy built in Python. The strategy includes clearly defined entry/exit rules, position sizing, and risk management. Delivered with modular, well-documented code, visual performance analytics (equity curve, drawdown, etc.), and key metrics like Sharpe ratio and win rate. Ready for integration with data providers or brokers via API (e.g., Alpaca, Interactive Brokers).

A custom-built options trading strategy implemented in Python, designed with detailed logic for entry/exit, strike selection, expiry handling, and risk/reward management. The deliverable includes historical backtesting using options chain data, Greeks-based analysis, and performance metrics. Delivered with clean code, comprehensive documentation, and optional integration support for live trading environments.