<div>FinHack®, an easily extensible quantitative finance framework, integrates a complete workflow for quantitative investment research in its current version, including data collection, factor computation, factor mining, factor analysis, machine learning, strategy development, and quantitative backtesting. In later stages, it will expand to include more data sources, trading instruments, analytical tools, and practical plugins, aiming to create an open, customizable, and high-level quantitative finance framework to aid Quants and researchers in related fields with their financial research work.</div>
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