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MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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Machine Learning Financial Laboratory (mlfinlab)

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MLFinLab is a python package based on the research of Dr. Marcos Lopez de Prado (QuantResearch.org) in his new books Advances in Financial Machine Learning, Machine Learning for Asset Managers, as well as various implementations from the Journal of Financial Data Science. This implementation started out as a spring board for a research project in the Masters in Financial Engineering programme at WorldQuant University and has grown into a mini research group called Hudson and Thames Quantitative Research (not affiliated with the university).

The following is the online documentation for the package: read-the-docs

Sponsors and Donating


A special thank you to our sponsors! If you would like to become a sponsor and help support our research, please sign up on Patreon.

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Getting Started

Please find all of the supporting documentation needed here: ReadTheDocs

Contact us

We have recently opened access to our Slack channel to help form a community and encourage contributions.

Looking forward to hearing from you!

License

This project is licensed under an all rights reserved licence.

LICENSE.txt file for details.

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MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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