Journal + AI · read-only

AI for Prop Firm Evaluation Prep

Use your real journal data in AI to stress-test daily loss, trailing drawdown, and consistency—not generic chat advice.

Topstep Daily Loss (Data Playbook) MCP hub

Quick summary

  1. Journal first: See Topstep Daily Loss (Data Playbook) 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 helps prop firm candidates analyze their own imported trades with user-scoped AI (MCP or on-site assistant) for drawdown discipline, consistency, and stats—pair with our prop-firm data playbooks for firm-specific rules.

Start with the right journal page

Topstep Daily Loss (Data Playbook)

Data-driven guide to Topstep-style daily loss limits—pair with AI review of your journal.

Read guide

Why add AI on top

Drawdown paths

Ask AI about worst session MAE vs. your firm floor.

Consistency

Review largest green day as % of profit in your data.

Firm playbooks

Cross-link Topstep, Apex, and other Zipper guides.

Example prompts (read-only)

  • What was my largest losing day in the last 30 closed trades?
  • Show trade stats for my evaluation portfolio.
  • How many trading days had profit over 40% of total profit?

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

No. AI helps you review your own historical behavior read-only; passing still requires discipline and following firm rules.

See our prop-firm data pages (e.g. Topstep daily loss, Apex trailing drawdown) linked from the MCP hub.

Also see: Topstep daily loss data · Apex trailing drawdown

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