Showing 3 open source projects for "quant"

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    Qlib

    Qlib

    Qlib is an AI-oriented quantitative investment platform

    Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib. With Qlib, users can easily try their ideas to create better Quant investment strategies. At the module level, Qlib is a platform that consists of above components. The components are designed as loose-coupled modules and each component could be used stand-alone.
    Downloads: 3 This Week
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  • 2
    tickflow-stock-panel

    tickflow-stock-panel

    Self-hosted, zero-operation A-share quantitative workbench

    tickflow-stock-panel is a self-hosted quantitative stock workstation for China A-share screening, monitoring, and backtesting. It is aimed at individual retail investors and quant hobbyists who want a local research dashboard rather than a closed commercial terminal. The project uses TickFlow as a data source but is not an official TickFlow product. Its modules include a stock screener, indicator pipeline, backtesting engine, monitoring center, single-stock analysis, concept analysis, industry analysis, and post-market review. ...
    Downloads: 1 This Week
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  • 3
    zvt

    zvt

    Modular quant framework

    For practical trading, a complex algorithm is fragile, a complex algorithm building on a complex facility is more fragile, complex algorithm building on a complex facility by a complex team is more and more fragile. zvt wants to provide a simple facility for building a straightforward algorithm. Technologies come and technologies go, but market insight is forever. Your world is built by core concepts inside you, so it’s you. zvt world is built by core concepts inside the market, so it’s zvt....
    Downloads: 1 This Week
    Last Update:
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