Alpha Skills — Quantitative Factor Research

"Quantitative factor research skills for Cursor. Evaluate factors, run backtests, mine new alpha through natural language."

更新:2026-07-14

说明

# 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.

来源

https://github.com/PatrickJS/awesome-cursorrules/blob/main/rules/alpha-skills-quant-factor-research.mdc

← 返回全部 Skill