Log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/los...
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install skill-trading-journalOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install skill-trading-journalβ 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/skill-trading-journal/π‘Extract and place the folder at the path above, then restart your agent.
Category
πFinance & InvestmentPlatforms
What Trading Journal can do for your AI workflow
Log every trade with full directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,621+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Trading Journal
Help me get started with Trading Journal
Explains what Trading Journal does, walks through the setup, and runs a quick demo based on your current project
Use Trading Journal to log every trade with full context (thesis, entry, exit, PnL, emotio...
Invokes Trading Journal with the right parameters and returns the result directly in the conversation
What can I do with Trading Journal in my finance & investment workflow?
Lists the top use cases for Trading Journal, with example commands for each scenario
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Trading Journal extends your AI assistant with the ability to log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/los... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Trading Journal as its underlying capability.
Trading Journal works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Trading Journal once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Trading Journal, copy the skill folder to `~/.claude/skills/skill-trading-journal/` for use across all your projects, or `.claude/skills/skill-trading-journal/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/skill-trading-journal` or just describe your goal and the AI will pick it up automatically.
Trading Journal has been installed 1,621 times, making it one of the more actively used skills in the Finance & Investment category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/skill-trading-journal/ for personal use (all projects), or .claude/skills/skill-trading-journal/ for project-specific use. Restart your AI client, then invoke with /skill-trading-journal or let the AI discover it automatically.
Trading Journal supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Trading Journal is free to install. Check the repository for licensing information.
Log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/los...
Trading Coach
π AI Trading Review Coach β 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".
Trading
Trading analysis and education. Technical analysis, chart patterns, risk management, and position sizing for stocks, forex, and crypto.
Trading Research
Automate my finance & investment tasks using Trading Journal
Identifies repetitive steps in your workflow and sets up Trading Journal to handle them automatically
Trading Journal is categorized under Finance & Investment. These skills help AI agents perform specialized tasks in this domain.
Binance cryptocurrency trading research, technical analysis, and position management. Triggers on requests for crypto prices, market data, trading analysis, DCA planning, position sizing, whale activity, or any trading research questions about Bitcoin, altcoins, or crypto markets.