prompt

Alpha Skills — Quantitative Factor Research

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

Imported from GitHub · PatrickJS/awesome-cursorrules40k3.4kCC0-1.0
0 installsImported
Save

Install in Claude

Connect Tala's MCP server in Claude, then fetch this skill by slug:

get_skill("alpha-skills-quantitative-factor-research")

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.

Comments (0)

No comments yet — be the first.