Bitcoin Price Predictor

An advanced deep learning model for predicting Bitcoin prices using LSTM neural networks and technical analysis.

🚀 Features

• Real-time Bitcoin price data fetching via yfinance
• Advanced technical indicators (MA, RSI, MACD)
• LSTM neural network with dropout and batch normalization
• Comprehensive visualization suite
• Multiple performance metrics

📊 Latest Model Performance

Metric	Value
MSE	51,790,828
RMSE	7,334
MAE	4,434
R² Score	0.863
Accuracy	91.67%

🛠️ Installation

Clone repository

git clone https://github.com/yourusername/bitcoin-price-predictor.git

cd bitcoin-price-predictor

Install dependencies

pip install -e .

Basic Usage

python -m bitcoin_predictor.main

Advanced Configuration

python -m bitcoin_predictor.main \
    --symbol BTC-USD \
    --period max \
    --sequence-length 60 \
    --batch-size 32 \
    --epochs 100

Running tests:

python -m unittest discover bitcoin_predictor/tests

Visualizations

The model generates several visualizations in the visualizations directory:

• Training history plots
• Prediction vs Actual comparisons
• Feature correlation heatmaps
• Error distribution analysis
• Rolling metrics plots

Dependencies

• numpy
• pandas
• scikit-learn
• tensorflow
• yfinance
• matplotlib
• seaborn
• python-graphviz

Logging

The project uses Python's logging framework. Logs are stored in the logs directory with timestamped filenames.

Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

License

This project is licensed under AGPL-3.0