Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
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quantitative-financemachine-learningstock-dataplatformfinancealgorithmic-tradingpythoninvestmentquantquantitative-tradingquant-datasetquant-modelsauto-quantfintechresearch-paperpaperresearchdeep-learning
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{"name":"MIT License","spdxId":"MIT"}
Project Description
An AI quantitative trading platform, aiming to seek and explore the value of AI technology in the quantitative investment field. It contains a complete ML pipeline for data processing, model training, and backtesting, and covers the entire chain of quantitative investment: Alpha exploration, risk modeling, portfolio optimization, and transaction execution functions.