Python financial-machine-learning

Open-source Python projects categorized as financial-machine-learning
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Topics: Machine Learning Python algorithmic-trading Investing Trading
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Top 3 Python financial-machine-learning Projects

  • mlfinlab

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

    • Project mention: mlfinlab: open source library maintained by hudson and thames though much of the content has moved to a subscription model. Idea is to implement academic research in python code and aggregate it as a package. Sources from [Journal of financial data s | /r/algoprojects | 2023-11-21

  • hyperdrive

    algorithmic trading using machine learning (by suchak1)

    • Project mention: hyperdrive: NEW Other Models - star count:108.0 | /r/algoprojects | 2023-12-09

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  • fold

    🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of magnitude speed-up, combined with flexibility and rigour. This is an internal project - documentation is not updated anymore and substantially differ from the current API. (by dream-faster)

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Python financial-machine-learning related posts

  • hyperdrive: NEW Other Models - star count:108.0

    1 project | /r/algoprojects | 9 Dec 2023

  • hyperdrive: NEW Other Models - star count:108.0

    1 project | /r/algoprojects | 8 Dec 2023

  • hyperdrive: NEW Other Models - star count:108.0

    1 project | /r/algoprojects | 7 Dec 2023

  • Show HN: Fast Adaptive ML for Time-Series Forecasting

    1 project | news.ycombinator.com | 25 Apr 2023

Index

What are some of the best open-source financial-machine-learning projects in Python? This list will help you:

Project Stars
1 mlfinlab 3,787
2 hyperdrive 137
3 fold 87

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