🌐 Hawk Trading System 🚀

Hawk Trading is a high-frequency cryptocurrency trading system designed for speed, accuracy, and flexibility.

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✨ Features

• 📈 Real-time market data streaming
• ⚡ High-frequency trading support
• 📊 Order book visualization
• 💼 Trading history and position management
• 📋 Performance analytics
• 🔄 Backtesting capabilities

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🛠️ Installation

1. Clone the repository:

   git clone https://github.com/yourusername/hawk-trading.git
   cd hawk-trading/backend

2. Create and activate a virtual environment:

   python -m venv .venv
   source .venv/bin/activate  # macOS/Linux
   .venv\Scripts\activate     # Windows

3. Install dependencies:

   pip install -r requirements.txt

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▶️ Usage

🎯 Training and Backtesting

To train the model and perform backtesting, run:

python scripts/train_and_backtest.py

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📡 Market Data Retrieval

Before training and backtesting, ensure market data retrieval is properly configured. Verify that the data source provides data with a timestamp column.

Check the data retrieval logic in src/services/market_data_service.py.

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🛑 Error Handling

Encountering this error?

KeyError: "None of ['timestamp'] are in the columns"

Here’s how to resolve it:

1. ✅ Confirm that the data source includes the timestamp column.

2. 🐛 Debug by printing the DataFrame's column names in the get_market_data method:

   print("DataFrame columns:", df.columns)

3. ⚙️ Double-check the data loading logic and format.

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🤝 Contribution

Contributions are welcome! 🙌 Submit your issues or pull requests to help us improve. 🚀

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📜 License

This project is licensed under the MIT License. See the LICENSE file for details. 📄

Happy Trading! 🎉