Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
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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.