Use Case
Quantitative trading knowledge is a powerful AI agent skill that extends your assistant with new capabilities. Quantitative trading knowledge and skills. Including multi-factor stock selection, technical indicators, classic strategies (double moving average, grid trading, breakout strategy), arbitrage strategies, backtesting framework (Backtrader), risk indicators, etc. Used to answer questions related to quantitative trading, stock analysis, strategy suggestions, etc. This guide walks you through installing Quantitative trading knowledge, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Quantitative trading knowledge: npx clawhub@latest --dir ~/.claude/skills install quant-trading
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to finance & investment to trigger Quantitative trading knowledge
Review the output and refine your prompt for better results
Combine Quantitative trading knowledge with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Quantitative trading knowledge
Help me get started with Quantitative trading knowledge
What can Quantitative trading knowledge do for my finance & investment workflow?
Show me an example of using Quantitative trading knowledge
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install quant-tradingOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install quant-tradingβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/quant-trading/π‘Extract and place the folder at the path above, then restart your agent.