Release v1.0.2
I am excited to announce the release of version 1.0.2 of the Genetic Algorithm for Trading Strategy Optimization project.
What's New
- Improved performance in multi-process parallel computation
- Enhanced dynamic strategy generation
- Bug fixes and stability improvements
Key Features
This release maintains all the core features of our project:
- Genetic algorithm optimization for trading strategies
- Optimization of strategy parameters and trading pair selection
- Support for setting maximum open trades
- Multi-process parallel computation
- Dynamic strategy generation and evaluation
- Saving of best individuals from each generation
- Configurable optimization parameters
- Optional data downloading before running the algorithm
- Checkpointing and ability to resume from the latest checkpoint
Installation
Please refer to the README.md file for detailed installation instructions.
Usage
Basic usage:
python main.py
For more options and examples, please check the Usage section in the README.md file.
Community
Join our community channels for updates, discussions, and support:
Feedback and Contributions
We welcome your feedback and contributions. Please submit issues or pull requests on our GitHub repository.
Disclaimer
This project is for educational and research purposes only. It does not constitute investment advice. Users are responsible for any risks associated with using this project for actual trading.