Welcome to the official GitHub repository for Limex DataHub clients and algorithmic trading research examples. Here, you'll find comprehensive tools and guides for quantitative analysis, designed for both Python and R users. Whether you're exploring momentum trading, mean reversion strategies, or other quantitative techniques, our repository serves as a one-stop resource.
- Algorithmic Trading Examples: Jupyter notebooks showcasing practical examples of various algorithmic trading strategies.
- R & Python Clients: Ready-to-use client libraries for integrating Limex DataHub services in your R and Python applications.
- How-To Guides: Step-by-step tutorials on leveraging Limex DataHub data for your quantitative research in Python and R.
- Active Bug Tracker: Utilize the issues section to report bugs, track fixes, and request new features.
Questions or need assistance? Our community and maintainers are here to help. Check out the issues section for support and to connect with fellow researchers.
Contributions are welcome! If you'd like to improve the documentation, add new strategies, or enhance the existing client code, please submit a pull request or create an issue.
Star this repository and watch for updates to keep abreast of new additions and improvements.
Join us in advancing the world of algorithmic trading with Limex DataHub!