Agent Trading Journal — AI skill for Claude Code
AI trading journal MCP server: Claude Code, Codex or any MCP agent logs trades from chart screenshots, checks them against your own strategy rules, imports MT5/TradingView, and shows R-based stats in.
How to install Agent Trading Journal
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open smizxe/agent-trading-journal and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Agent Trading Journal does
AI trading journal MCP server: Claude Code, Codex or any MCP agent logs trades from chart screenshots, checks them against your own strategy rules, imports MT5/TradingView, and shows R-based stats in a local dashboard.
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README
Agent Trading Journal: an AI trading journal (MCP server) for Claude Code and Codex
[](https://www.npmjs.com/package/agent-trading-journal) [](https://github.com/smizxe/agent-trading-journal/actions/workflows/test.yml) [](LICENSE) [](https://modelcontextprotocol.io) [](package.json)
**Works with:** Claude Code · Codex CLI · Claude Desktop · Cursor · Windsurf · any MCP client — **Markets:** forex, futures, stocks, crypto — **Imports:** MetaTrader 4/5, TradingView, IBKR, NinjaTrader, Tradovate and more
**A trading journal your AI agent writes for you.** Paste a chart screenshot into Claude Code, Codex or any MCP client. The agent reads it, fills in *your* strategy's fields, checks the trade against *your* rules, logs it, and attaches the image. A local dashboard shows what's working.
No forms, no LLM API key, no account. Everything stays on your machine in one SQLite file.
 Dashboard with generated demo data (`npx agent-trading-journal demo`). Not a real account.
Why this exists
Most "AI trading journals" are a web form plus a chatbot that reads your numbers afterwards. Two problems follow:
- Logging is the bottleneck. People stop journaling because entering trades by hand is tedious.
- Generic fields measure nothing specific. "Setup: A/B/C" doesn't tell you whether your rules work.
Here the agent is the data-entry clerk, and the journal is shaped by an onboarding interview about how *you* trade:
| Typical AI journal | Agent Trading Journal | |
|---|---|---|
| Who enters trades | You, in a form | Your agent, from screenshots (or a b |
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