A machine learning-based trading bot that predicts binary price movements (up/down) for Bitcoin using XGBoost.
The bot analyzes historical BTC/USD price data with technical indicators to forecast the next price direction.
- 📊 Technical indicators:
- SMA (Simple Moving Average)
- RSI (Relative Strength Index)
- ATR (Average True Range)
- VWAP (Volume Weighted Average Price)
- MACD (Moving Average Convergence Divergence)
- Support & Resistance levels
- 🤖 XGBoost classifier for binary prediction (price up vs. down)
- Python
- Pandas
- XGBoost
- pandas-ta (Technical Analysis library)
- Historical Bitcoin price data (OHLCV format)
The model predicts whether the next candle's closing price will be:
- 📈 Up (1)
- 📉 Down (0)
This is a classification problem rather than regression — focused purely on direction, not magnitude.
- Load historical OHLCV Bitcoin data.
- Generate technical indicators.
- Engineer features for supervised learning.
- Train XGBoost classifier.
- Output probability-based directional prediction.
- Hyperparameter tuning
- Cross-validation with walk-forward testing
- Live API integration
- Risk management system
- Trade execution automation
This project is for educational purposes only.
Cryptocurrency trading involves substantial risk and is not financial advice.
If you find this useful and want to support continued development: 👉 https://www.patreon.com/c/GarbageCode
