Frozen (Fast Research Optimizatin Engine) is an advanced factor-driven quantitative research platform, powered by a sophisticated event-driven backtesting engine and cutting-edge portfolio optimization engine. The framework aims to seamlessly integrate data processing, research analytics, back-testing, and live-trading into a unified pipeline, while standardizing factor research procedures through a systematic and rigorous approach.
The framework covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution, enabling researchers and practitioners to efficiently transform their investment hypotheses into implementable strategies. With Frozen's robust architecture and intuitive interface, users can rapidly prototype, validate, and deploy sophisticated quantitative investment strategies with institutional-grade reliability.
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Simplicity is all you need
Zen of Quant Investment
Our goal is to simplify the quantitative trading process, allowing investors to easily build, test, and deploy their strategies. The platform offers a variety of tools and features, including historical data analysis, factor research, backtesting, and real-time trading. Whether you are an experienced quantitative analyst or a novice investor, Frozen can meet your needs.
With modular design and easy-to-customize interfaces, we make quantitative trading simple and powerful.
P.S. This link is a comprehensive guide towards the application of Frozen, and walks you through the whole research process while using the platform.