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alpha-skills-quant-factor-research — Cursor rule: what it does

Sets up Cursor as a quantitative researcher to design, evaluate, and backtest alpha factors. Supports US, Hong Kong, and China A-share equity markets.

Install into Cursor · Manually: put the files in place All methods and platforms ↓
.cursor/rules/alpha-skills-quant-factor-research.mdc
Open on GitHub

What alpha-skills-quant-factor-research does

The rule configures Cursor for quantitative factor workflows. It covers designing factors from natural language prompts with alpha-discover, evaluating metrics like IC and ICIR with alpha-evaluate, and running factor mining with alpha-mine. Factor registration and lifecycle tracking are handled by alpha-library.

For portfolio testing, alpha-backtest runs single-factor or multi-factor backtests, while alpha-monitor checks IC decay. Trading rules adapt automatically depending on whether you target US equities, Hong Kong, or Chinese A-shares.

Complete implementations for each routine live in https://github.com/VernonOY/alpha-skills/tree/main/skills. The rule itself only sets the system prompt and workflow routing inside the editor.

What it helps with

  • design alpha factors using natural language requests
  • evaluate factor performance through IC, ICIR, and quintile analysis
  • mine factors automatically using IC screening thresholds
  • run multi-factor portfolio backtests
  • monitor factor health and identify IC decay

Example prompts for the agent

  • Find me a low-volatility factor
  • Evaluate reversal_5 and check quintile returns
  • Backtest with pv_diverge + turnover

How to install alpha-skills-quant-factor-research

Manually: put the files in place

.cursor/rules/alpha-skills-quant-factor-research.mdc

Frontmatter: description, globs, alwaysApply

Step by step, with commands for each platform: Cursor rules: .mdc files, four modes and what replaced .cursorrules

Questions about alpha-skills-quant-factor-research

How do you install alpha-skills-quant-factor-research in Cursor?

Place the rule file at .cursor/rules/alpha-skills-quant-factor-research.mdc in your project root.

Which stock markets are supported?

It supports US equities, Hong Kong stocks, and China A-shares, adjusting trading rules for each market.

Where are the actual factor skill implementations located?

The rule routes commands inside Cursor, while the full implementations reside in https://github.com/VernonOY/alpha-skills/tree/main/skills.

Source text

alpha-skills-quant-factor-research.mdc · CC0-1.0
---
description: "Quantitative factor research skills for Cursor. Evaluate factors, run backtests, mine new alpha through natural language."
globs: **/*
alwaysApply: false
---
# 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.

© PatrickJS · CC0-1.0 · PatrickJS/awesome-cursorrules

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