How-to · Business Operations · By ClawHub Community

How to use Quantitative Research in your AI agent

Install and use the Quantitative Research skill in Claude Code, Cursor, Codex, Gemini CLI, OpenCode, and Windsurf — with sample prompts.

What you'll get

This skill helps you research and validate trading strategies using professional quantitative methods. Whether you're testing a momentum strategy, evaluating factor models, or analyzing market patterns, it applies rigorous statistical testing to separate real opportunities from noise. It's built with the skepticism of veteran quant researchers who've seen beautiful backtests fail in real markets.

Step 1 — Get the skill source URL

The Quantitative Research skill lives at:

Open ↗

Step 2 — Add it to your AI agent

Copy one of these prompts and paste it into your AI tool. The agent will fetch and install the skill for you.

Claude Code

Add the agent skill from https://clawhub.ai/zhengxinjipai/quantitative-research to my project.

Cursor

Install this agent skill: https://clawhub.ai/zhengxinjipai/quantitative-research

Codex

Add this skill to .codex/skills/: https://clawhub.ai/zhengxinjipai/quantitative-research

Gemini CLI

Add the skill at https://clawhub.ai/zhengxinjipai/quantitative-research to my .gemini/skills/ directory.

OpenCode

Install this agent skill from https://clawhub.ai/zhengxinjipai/quantitative-research

Windsurf

Add this skill: https://clawhub.ai/zhengxinjipai/quantitative-research

Step 3 — Try these prompts

Once the skill is installed, ask your AI things like:

  • Testing a trading idea and need to know if it actually works or just looks good on paper
  • Validate an investment strategy before putting real money behind it
  • Building a portfolio and want to understand the statistical edge of different approaches
  • Analyzing market patterns or signals and need rigorous statistical validation

What this skill does

  • Backtests trading strategies with proper methodology to avoid common pitfalls like look-ahead bias
  • Validates alpha signals and investment hypotheses using statistical measures like Sharpe ratios and t-statistics
  • Analyzes factor models and portfolio construction approaches
  • Tests statistical arbitrage strategies and pairs trading setups
  • Detects market regimes and evaluates strategy robustness across different market conditions
SkillQuantitative Research
Made byClawHub Community
CategoryBusiness Operations
SourceView original ↗