Key takeaways
- Predefined heuristics flag recurring behaviors (e.g. exiting early on winners) on the Trading Dashboard.
- By-flag breakdowns are typically the most reliable pattern surface - they reflect your own tagging discipline.
- Substantive trade notes can be analyzed by AI to surface themes across them.
- The most useful patterns come from honest tagging, even when it's uncomfortable.
MTF surfaces patterns from your journal data so you can act on them.
- Predefined patterns - built-in heuristics that flag recurring behaviors (e.g. "you exit early on winners", "your win rate drops after consecutive losses"). Visible on the Trading Dashboard when triggered.
- By-flag breakdowns - your own labels are the strongest pattern detector. The By Flag widget shows which setups consistently win or lose; treat that as the most reliable pattern surface in the app.
- AI note analysis - when you write substantive trade notes, MTF can summarize themes across them.
The most useful patterns usually come from your tagging discipline: tag honestly, even when it's uncomfortable, and the patterns tell themselves.
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