This repository contains Jupyter notebooks for backtesting various trading strategies. The goal is to analyze historical market data, evaluate different strategies, and refine them based on performance metrics.
- Implementation of multiple trading strategies
- Performance evaluation using key metrics (Sharpe ratio, drawdown, etc.)
- Data handling and preprocessing for backtesting
- Visualization of backtest results
This project is licensed under the MIT License.
This repository is for educational and research purposes only. It does not constitute financial advice or recommendations.