Tracking your emotional state and tagging mistakes isn’t about judgment — it’s about building a dataset of your own behavior. Over time, patterns emerge that no P&L statement can reveal.
Why this matters
Two traders can take the exact same setup with opposite results. The difference is usually behavioral — emotional reactivity, impulsive decisions, or rule violations made under pressure. By tagging emotions and mistakes on every trade, you create a record that surfaces these patterns. You start to see which emotional states lead to your best execution and which ones precede your worst trades.Emotional states
During journaling, you’ll tag your emotional state before and after the trade. You can select multiple emotions — most trades involve more than one. Emotions are grouped into three categories based on how they affect your trading, not whether they’re “good” or “bad” feelings. The same categories are used in the Game Plan for consistency.Composed (green)
These emotions support disciplined execution. Trades taken in a composed state tend to have higher Align Scores.Reactive (red)
These emotions signal a state where you are likely to break rules. Trades taken under reactive emotions often involve impulsive decisions or rule violations.Unsettled (amber)
These emotions could go either way. You might execute well or poorly — the outcome depends on your awareness and discipline.Mistake tags
During Step 6 of journaling, you’ll tag any mistakes that occurred during the trade. Select all that apply — or None if the trade was executed cleanly.Entry mistakes
Position & risk mistakes
Exit mistakes
Behavioral mistakes
No mistakes
How patterns emerge
Individual tags on a single trade don’t tell you much. But across 50 or 100 trades, patterns become clear:- “I’m 2x more likely to overtrade when I’m frustrated”
- “My FOMO entries have a 30% lower Align Score than my calm entries”
- “Every time I move my stop loss, the trade loses”
These patterns surface through your Analytics dashboard, where you can filter performance by emotional state and mistake type.