Predict cryptocurrency prices using historical data and machine learning models.
This repository employs machine learning algorithms to forecast the future prices of various altcoins based on historical chart movements. It incorporates technical indicators, diverse models, and evaluation metrics to enhance prediction accuracy.
- Historical data analysis
- Technical indicator integration
- Machine learning models (LSTM, ARIMA, etc.)
- Evaluation metrics for model performance
- Prediction visualization
- Clone the repository.
- Install the required dependencies.
- Obtain historical cryptocurrency data.
- Explore provided notebooks/scripts for training models and making predictions.
Follow the detailed documentation to set up the environment, preprocess data, train models, and evaluate predictions.
Contributions are welcome! Feel free to improve existing models, add features, or enhance documentation. Open issues for suggestions and bug fixes.
This project provides predictions and insights based on historical data; it does not guarantee future performance. Use the information wisely in cryptocurrency trading.
This project is licensed under MIT License.