quantskills
Open-source quant skills for AI Agents, covering data, factor research, and trade automation.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 2.0k
- Source
- skill-github
- Repository
- github.com/quantskills/quantskills
Overview
QuantSkills is an open quantitative community project initiated by PandaAI, designed to provide AI Agents with discoverable, installable, verifiable, and composable quant capabilities. It includes data interfaces, factor research toolkits, market analysis, risk monitoring, strategy backtesting, investment research models, and more. With these skills, AI Agents can perform efficient data processing, factor generation, strategy backtesting, and trade automation. Suitable for developers and researchers requiring quantitative analysis and trade automation.
Capabilities
- ▪Data interfaces and data warehouse management
- ▪Factor research and screening
- ▪Market and asset analysis
- ▪Risk monitoring and alerting
- ▪Strategy backtesting and trading tools
- ▪Investment research models and reproducible studies
Use cases
Setup
Use skill-template to create a Skill, or use agent-template to create an Agent, then submit to the registry.
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
How do I create a new Skill?
Create and submit using the skill-template template.
How do I join the community?
Read the community guidelines and start discussions by joining the repository.
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