Skip to content

Latest commit

 

History

History
56 lines (35 loc) · 2.57 KB

README.md

File metadata and controls

56 lines (35 loc) · 2.57 KB

Algorithmic Trading Bot with Backtesting and Strategy Optimization

📄 Overview

This project is a flexible and efficient trading bot built to execute trades based on various technical analysis strategies, such as Simple Moving Average (SMA), Volume Weighted Average Price (VWAP), and Bollinger Bands. The bot is designed with an emphasis on simplicity and adaptability, making it suitable for different trading environments and market conditions.

🚀 Features

  • Multiple Strategies: Includes strategies like SMA, VWAP, and Bollinger Bands for comprehensive market analysis and trade execution.
  • Backtesting: Supports backtesting strategies using historical market data to evaluate performance and optimize trading settings.
  • Risk Management: Incorporates stop-loss and take-profit mechanisms to mitigate risks and protect investments.
  • Modular Design: Easily customizable and extendable to accommodate new strategies and features.

📁 Project Structure

  • data/: Contains CSV files with historical market data for backtesting and analysis.
  • strategies/: Python scripts implementing various trading strategies.
  • utils/: Helper scripts and functions for data processing and API interactions.
  • config/: Configuration files for customizing bot behavior across different markets and timeframes.

🛠️ Getting Started

Prerequisites

Ensure you have Python installed on your system. You can install the required Python packages by running:

pip install -r requirements.txt

Running a Backtest

To backtest a strategy with historical data, execute the corresponding strategy script:

python Breakout_Strategy.py

Customization and Deployment

  • Modify existing strategy files or create new ones to match your trading objectives.
  • Deploy the bot in live market conditions, with caution and thorough testing.

🔄 Future Enhancements

  • AI Integration: Incorporate AI-driven models for enhanced decision-making and strategy optimization.
  • Exchange Support: Expand support for additional cryptocurrency exchanges and trading platforms.
  • Real-Time Monitoring: Develop features for real-time performance tracking and alert systems.

🤝 Contributing

Contributions are welcome! If you'd like to contribute, please fork the repository, create a new branch for your changes, and submit a pull request. Ensure your contributions are well-documented and adhere to the project's coding standards.

📜 License

This project is licensed under the MIT License. For more details, see the LICENSE file.