Showing 3 open source projects for "community"

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    Awesome-Quant

    Awesome-Quant

    A curated list of insanely awesome libraries, packages and resources

    awesome-quant is a curated list (“awesome list”) of libraries, packages, articles, and resources for quantitative finance (“quants”). It includes tools, frameworks, research papers, blogs, datasets, etc. It aims to help people working in algorithmic trading, quant investing, financial engineering, etc., find useful open source or educational resources. Licensed under typical “awesome” list standards.
    Downloads: 5 This Week
    Last Update:
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    Zipline

    Zipline

    Zipline, a Pythonic algorithmic trading library

    ...Please note that Zipline is not a community-led project. Zipline is maintained by the Quantopian engineering team, and we are quite small and often busy.
    Downloads: 0 This Week
    Last Update:
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  • 3
    AlphaPy

    AlphaPy

    Python AutoML for Trading Systems and Sports Betting

    AlphaPy is a Python-based AutoML framework tailored for trading systems and sports betting applications. Built on popular libraries like scikit-learn and pandas, it enables data scientists and speculators to craft predictive models, ensemble strategies, and automated forecasting systems with minimal setup. Run machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost. Generate blended or stacked ensembles. Create models for analyzing the markets with MarketFlow....
    Downloads: 2 This Week
    Last Update:
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