How to Get Started with Trading Coach in Your AI Workflow

Trading Coach is a powerful AI agent skill that extends your assistant with new capabilities. 🏆 AI Trading Review Coach — Turn your brokerage CSV into actionable insights for improvement! Automatic FIFO matching positions, 8-dimensional quality score (entry/exit/trend/risk...), 10-dimensional AI insight. Supports mainstream brokerages such as Futu (Chinese/English), Tiger, CITIC, and Huatai. Trigger conditions: Users provide transaction CSV, request analysis of transaction performance, evaluate transaction quality, generate review report, Calculate profit and loss statistics, identify trading pattern problems, "Help me review the transaction", "Analyze my transaction". This guide walks you through installing Trading Coach, configuring it for your setup, and running your first commands — so you can start getting value in minutes.

Step-by-Step Guide

1. 1

   Install Trading Coach: npx clawhub@latest --dir ~/.claude/skills install trading-coach

2. 2

   Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)

3. 3

   Type a natural language request related to finance & investment to trigger Trading Coach

4. 4

   Review the output and refine your prompt for better results

5. 5

   Combine Trading Coach with other skills to build multi-step workflows

Example Prompts

Copy these prompts and use them with your AI agent after installing Trading Coach

More Use Cases for Trading Coach