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---
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license: mit
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tags:
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- crypto
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- price-prediction
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- lstm
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- trading
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library_name: pytorch
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---
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# Crypto Price Predictor V8
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A high-performance LSTM-based cryptocurrency price prediction model with bias correction.
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## Model Details
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### Architecture
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- **Type**: Bidirectional LSTM
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- **Layers**: 2 stacked LSTM layers
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- **Hidden Size**: 64 (auto-detected per model)
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- **Input Features**: 44 technical indicators
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- **Output**: Next hour price prediction
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### Supported Cryptocurrencies
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BTC, ETH, SOL, BNB, XRP, ADA, DOT, LINK, MATIC, AVAX, FTM, NEAR, ATOM, ARB, OP, LTC, DOGE, UNI, SHIB, PEPE
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### Performance
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- **Average MAPE**: < 0.05%
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- **Average MAE**: < 50 USD (varies by price)
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- **Direction Accuracy**: ~65-75%
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## Usage
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### Quick Start
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```python
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from bot_predictor import BotPredictor
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# Initialize
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bot = BotPredictor()
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# Get prediction
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prediction = bot.predict('BTC')
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print(f"Next Hour Price: ${prediction['corrected_price']:.2f}")
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print(f"Direction: {prediction['direction']}")
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print(f"Confidence: {prediction['confidence']*100:.1f}%")
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```
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### Installation
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```bash
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pip install torch torchvision torchaudio
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pip install scikit-learn pandas numpy ccxt
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```
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### Models
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All models are in PyTorch format (.pth files). Download all models to use the full suite.
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### Bias Correction
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Each model includes an automatic bias correction value to account for training/test distribution differences.
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File: `bias_corrections_v8.json`
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## Technical Indicators (44 total)
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- RSI (14, 21)
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- MACD + Signal + Histogram
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- Bollinger Bands (20, 2)
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- ATR (14)
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- CCI (20)
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- Momentum (10)
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- SMA (5, 10, 20, 50)
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- EMA (12, 26)
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- Volume Ratio
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- OHLC-derived features
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## Training Details
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- **Data**: 1000 hourly candles per symbol
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- **Train/Val/Test Split**: 80/10/10
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- **Optimizer**: Adam (LR=0.005)
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- **Loss**: MSE
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- **Batch Size**: 64
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- **Epochs**: 150 (with early stopping)
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- **Dropout**: 0.3
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## Requirements
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```
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torch>=2.0.0
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torchvision
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pandas>=1.5.0
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numpy>=1.23.0
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scikit-learn>=1.2.0
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ccxt>=2.0.0
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huggingface_hub>=0.16.0
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python-dotenv>=1.0.0
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```
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## License
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MIT License
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## Citation
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```
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@software{crypto_predictor_v8,
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title={Crypto Price Predictor V8},
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author={Your Name},
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year={2025},
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url={https://huggingface.co/caizongxun/crypto-price-predictor-v8}
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}
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```
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## Disclaimer
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These models are for educational and research purposes only. Do not use for actual trading without thorough validation.
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## Support
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For issues and questions, please refer to the GitHub repository.
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