| ---
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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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|
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| A high-performance LSTM-based cryptocurrency price prediction model with bias correction.
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|
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| ## Model Details
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|
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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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|
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| ### Quick Start
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|
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| ```python
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| from bot_predictor import BotPredictor
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|
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| # Initialize
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| bot = BotPredictor()
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|
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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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|
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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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|
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| All models are in PyTorch format (.pth files). Download all models to use the full suite.
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|
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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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|
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| ## Technical Indicators (44 total)
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|
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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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|
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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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| ```
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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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|
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| ## License
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|
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| MIT License
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|
|
| ## Citation
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|
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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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|
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| ## Support
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| For issues and questions, please refer to the GitHub repository.
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|
