Emotions
Track emotional context before and after the trade
Emotions are part of the journal model, not a separate note. That makes it possible to analyze how confidence, fear, focus, or frustration affect execution and results.
01Section
Trade-level logging
Trades can store emotions, confidence level, good confluences, lesson learned, what went well, and what could be better.
02Section
Aggregation
Each state shows its closed-trade sample, wins and losses, average P&L, net P&L, and win rate. Outcome labels identify helpful, costly, mixed, and developing patterns from the results instead of judging the emotion name.
03Section
Filters
Filter the page by account and 30-day, 90-day, or all-time history. Sort states by average P&L, net P&L, win rate, or frequency.
04Section
Behavior review
TheProfitPath AI reviews the current account and date range, identifies the strongest and costliest repeated states, flags weak or fragmented samples, and suggests specific next actions. AI coaching requires Premium.