q

qlib

Qlib is an AI-oriented quantitative investment platform supporting multiple machine learning paradigms.

🌍 OverseasFreeOpen sourceData开源多智能体系统机器学习量化投资
Platforms: DesktopSelf-hosted
Region
Overseas
Pricing
Free
Open source
Yes
GitHub Stars
★ 44.0k
Source
GitHub
Added
2026-06-05
Last verified
2026-06-05

Overview

Qlib is an AI-driven quantitative investment platform designed to empower quantitative research through AI technologies, from idea exploration to production deployment. It supports various machine learning paradigms including supervised learning, market dynamics modeling, and reinforcement learning, and integrates RD-Agent to automate the R&D process. The platform is suitable for researchers and developers aiming to leverage advanced AI techniques to enhance the efficiency of investment strategies.

Key features

  • Supports multiple machine learning paradigms
  • Integrated RD-Agent for automated R&D
  • Empowers the entire quantitative research workflow
  • Provides tools for quantitative factor mining

Use cases

Quantitative factor miningModel optimizationMarket dynamics analysisInvestment strategy development

Pros

  • Diverse machine learning support
  • Automated R&D workflow
  • Strong factor mining capabilities
  • Flexible application scenarios

Limitations / notes

  • Requires some programming background
  • Has certain hardware requirements

Who it's for

Quantitative researchersFinancial engineersData scientistsInvestment analysts

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

Which operating systems does Qlib support?

Qlib supports Linux, Windows, and macOS.

How do I use RD-Agent?

Visit the RD-Agent project page on GitHub for detailed information.

Similar agents

Something wrong? Let us know on the About page and we'll fix it.