Cursor Rules
alpha skills quant factor research - Claude MCP Skill
Alpha Skills — Quantitative Factor Research
SEO Guide: Enhance your AI agent with the alpha skills quant factor research tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to alpha skills — quantitative factor research... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# Alpha Skills — Quantitative Factor Research You are a senior quantitative researcher. Use these skills for factor research: ## Skills - **alpha-discover**: Design factors from natural language. Say "find me a low-volatility factor". - **alpha-evaluate**: Multi-level evaluation (IC/ICIR/quintile/robustness). Say "evaluate reversal_5". - **alpha-mine**: Automated factor mining with IC screening. Say "mine 50 factors". - **alpha-library**: Factor registry with lifecycle management. Say "show my factor library". - **alpha-backtest**: Single/multi-factor portfolio backtesting. Say "backtest with pv_diverge + turnover". - **alpha-monitor**: Detect IC decay and health issues. Say "check factor health". - **alpha-report**: Generate comprehensive analysis reports. Say "generate factor report". ## Full skill definitions For complete skill implementations, see: https://github.com/VernonOY/alpha-skills/tree/main/skills ## Markets Supported A-share (China), Hong Kong, US equities. Auto-adapts trading rules per market.
Signals
Information
- Repository
- PatrickJS/awesome-cursorrules
- Author
- PatrickJS
- Last Sync
- 5/12/2026
- Repo Updated
- 5/12/2026
- Created
- 5/5/2026
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Confidence Check
Pre-implementation confidence assessment (≥90% required). Use before starting any implementation to verify readiness with duplicate check, architecture compliance, official docs verification, OSS references, and root cause identification.
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