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.

59
/ 100
Established

This platform helps quantitative researchers and traders automate the discovery of new trading factors and optimize investment models. You feed it financial market data and research reports, and it provides refined trading factors and optimized models for smarter investment decisions. It's designed for quantitative analysts, hedge fund managers, and financial institutions.

38,683 stars.

Use this if you are a quantitative researcher looking to automate and enhance your workflow for identifying profitable trading strategies and optimizing investment models using AI.

Not ideal if you are a casual investor or do not have a strong background in quantitative finance and programming.

quantitative-trading financial-modeling algorithmic-trading investment-research portfolio-management
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

How are scores calculated?

Stars

38,683

Forks

6,021

Language

Python

License

MIT

Last pushed

Mar 10, 2026

Commits (30d)

0

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