Jesse · on-site agent · session auth

Jesse: TradeJournal On-Site AI Trading Assistant

Chat with Jesse about your win rate, setups, and journals inside tradejournal.co—no mcp.json, no token in the browser. Same mcp_services tools as external MCP. Why Jesse?

Chat with Jesse

Ask about win rate, setups, or stats while logged in—no MCP config file.

  • Same tools as MCP
  • Session auth only
  • Requires AI Assist / Pro
Open Jesse
TradeJournal on-site AI assistant answering a question about trade statistics

Quick summary

  1. Open Jesse: Open chat with Jesse while logged in (AI Assist / Pro required).
  2. No MCP token: Session auth only—ideal when you are not in Cursor or Claude Desktop.
  3. Same tools: Jesse calls get_runtime_context, stats, and trade tools—user-scoped v1.

Key takeaway

Jesse is TradeJournal.co's on-site AI assistant, named for Jesse Livermore; logged-in subscribers ask questions about their own trades and stats via session authentication and the same read-only tool layer as MCP, without configuring an external MCP client (14-day free trial and included pro trader onboarding with subscription).

Example questions to ask

  • What is my win rate on closed trades this month?
  • List my last 10 trades in my active portfolio.
  • Summarize my dashboard stats.
  • Which published posts do I have?

Prefer external AI? See Connect AI for MCP tokens or the full MCP guide.

Frequently asked questions

Log in, ensure you have AI Assist (Pro), then open TradeJournal chat or the stars icon in the navbar. The agent API is available at /chat/agent/ for integrated UIs.

Use Jesse for quick browser questions. Use MCP when you want your IDE or desktop AI (Cursor, Claude) to pull journal data into a longer workflow.

We named Jesse for Jesse Livermore, the legendary tape reader who stressed honest record-keeping, pivotal-point discipline, and learning from your own results. See the Meet Jesse page for his story.

No. v1 is read-only—same as MCP.

Start free trial — claim onboarding

Import trades, then ask real questions about your data.