Contributing¶

How to contribute?¶

Contributions of all kinds are welcome and greatly appreciated. Riskfolio-Lib is an independent open-source project, and community support plays a vital role in its continued development, maintenance, and growth.

Financial Support¶

If you would like to support the long-term sustainability of Riskfolio-Lib, you can contribute financially in any of the following ways:

• Purchase my book Advanced Portfolio Optimization: a Cutting-Edge Quantitative Approach.

• Enroll in my course Portfolio Optimization with Python.

• Become a sponsor through GitHub Sponsors.

• Make a donation via Ko-fi.

• Hire me for consulting services through my LinkedIn or contact me by email Email.

Other Ways to Contribute¶

You can also contribute directly to the project by:

• Improve and expand the documentation.

• Enhance the performance and efficiency of existing code.

• Implement new optimization objectives, risk measures, robust estimation techniques, and other portfolio optimization features.

• Develop additional examples and tutorials using Jupyter notebooks.

• Help expand the test suite by writing and improving tests with pytest.

• Suggest journal articles, research papers, blog posts, or other resources related to portfolio optimization, quantitative finance, machine learning or econometrics that could inspire new features or improvements in Riskfolio-Lib.

Whether you contribute code, documentation, examples, tests, ideas, feedback, financial support, or simply help spread the word about Riskfolio-Lib, your support helps make the project a better tool for the quantitative finance community.

Do you have any questions?¶

If you have any questions related to Riskfolio-Lib, please raise an issue and I will tag it as a question.