Journal + AI · read-only

AI for Your Day Trading Journal

Stop building spreadsheets—import sessions automatically and ask AI about intraday stats, heatmaps, and which setups to cut.

Quick summary

  1. Journal first: See Day Trading Journal (Don't Build Your Own) for platform fit.
  2. Connect AI: MCP token or on-site chat—same 17 user-scoped tools.
  3. Ask with context: Always get_runtime_context before trade questions.

Key takeaway

TradeJournal.co day traders use MCP or the on-site AI assistant to analyze their own imported intraday trades and stats read-only—without building a custom journal (free trial and included pro trader onboarding).

Start with the right journal page

Day Trading Journal (Don't Build Your Own)

Why building a journal wastes hundreds of hours—use a battle-tested platform instead.

Read guide

Why add AI on top

Session discipline

Review morning vs. afternoon P&L with AI after import.

Setup retirement

Ask which playbooks bleed—backed by your tags.

No custom code

Same 17 MCP tools as every other asset class.

Example prompts (read-only)

  • What is my win rate on closed trades this week?
  • Summarize my dashboard stats for my day-trading portfolio.
  • List trades tagged as opening drive plays.

Connect AI · On-site assistant · Tools reference

MCP tools (summary)

Tool Purpose
get_runtime_context User portfolios, active portfolio, plan flags, privacy rules. Call this first in every session.
list_portfolios Portfolio id and name list for disambiguation.
list_trades Filtered trade list (portfolio, symbol, status, asset, limit, order_by). Open rows include plan targets and nudges.
list_open_trades_by_target_priority Open trades sorted by price/stop target priority with nudge summary.
get_trade Single trade by id with entries, sizing, option context, and plan levels.
update_trade Set or clear price_target / stop_target on a trade (validated).
get_trade_stats Aggregate win rate, profit, and related stats for the user.
get_dashboard_stats High-level public/private trade and post rollups.
list_posts Published posts metadata for the user.
get_post One published post by id.
get_portfolio_stats Per-portfolio performance rollup.
list_media_assets User media library with attribution metadata.
get_media_asset Single media asset by id.
update_media_asset Update media attribution fields (narrow write).
delete_media_asset Delete unreferenced media assets.
audit_portfolio_import_health Read-only import/portfolio health audit.
repair_portfolio_import_health Allowlisted import repairs (confirm required for apply).

FAQ

Use the browser agent for quick post-session review; use MCP in your IDE for deeper workflow integration. Both are read-only.

Start free trial — connect AI to your journal