Q
qlib
microsoft/qlib
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.
★47.1kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?A algorithmic-trading/auto-quant tool in the Data & Infrastructure category, built with Python, open-source
Who made it?Maintained by microsoft team, 47.1K⭐ on GitHub, #30 out of 3133 in Data & Infrastructure
Why does it exist?In the Data & Infrastructure space, algorithmic-trading workflows faced efficiency bottlenecks. qlib was built by microsoft to address these auto-quant challenges.
What can it do?Key use cases: deep-learning, finance, fintech
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/microsoft/qlib | 官网 https://qlib.readthedocs.io/en/latest/
🔗 github.com/microsoft/qlib | 官网 https://qlib.readthedocs.io/en/latest/
Topics
algorithmic-tradingauto-quantdeep-learningfinancefintechinvestmentmachine-learningpaperplatformpythonquantquant-datasetquant-modelsquantitative-financequantitative-tradingresearchresearch-paperstock-data