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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.
EmotionWhen to tag
ConfidentClear conviction in the setup based on your rules
FocusedFully engaged, locked into the process
PatientWilling to wait for the right setup, no urgency
CalmRelaxed, no emotional charge — operating from routine

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.
EmotionWhen to tag
AnxiousUncertainty about the trade, second-guessing your plan
FrustratedIrritation from prior losses, missed entries, or market behavior
FearfulWorry about loss, hesitation to pull the trigger or hold the position
ImpulsiveActing before thinking, skipping your checklist
AngryEmotional reaction — often precedes revenge trades
Revenge-drivenTaking a trade specifically to recover a prior loss, not because the setup is there
Revenge-driven is the most important emotion to tag honestly. It maps directly to the revenge trading mistake tag. When you flag this feeling, you create a direct signal connecting emotion → mistake → outcome that no other metric captures.

Unsettled (amber)

These emotions could go either way. You might execute well or poorly — the outcome depends on your awareness and discipline.
EmotionWhen to tag
ExcitedElevated energy — can lead to oversizing or chasing trades
BoredLow engagement, prone to forcing setups for stimulation
UncertainNot sure about the setup but trading anyway
DistractedAttention elsewhere — multitasking, fatigue, or external noise
IndifferentGoing through the motions without real commitment
Be honest, not aspirational. Tag what you actually felt, not what you think you should have felt. The value is in the accuracy of the data over time.

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

TagDescription
Early EntryEntered before your setup fully confirmed
Late EntryWaited too long — chased the move after confirmation
FOMO EntryFear of missing out drove the entry, not your rules

Position & risk mistakes

TagDescription
Oversized PositionPosition size exceeded your risk rules
Moved Stop LossAdjusted stop loss after entry in a way that increased risk
No Stop LossEntered without a defined stop loss

Exit mistakes

TagDescription
Exited Too EarlyClosed the position before your target or exit criteria were met
Held Too LongStayed in the trade past your exit signal or invalidation point

Behavioral mistakes

TagDescription
Revenge TradingTook the trade to recover from a prior loss, not because the setup was there
OvertradingTook more trades than your plan allowed for the session

No mistakes

TagDescription
NoneThe trade was executed according to plan with no rule violations

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.
The goal is simple: tag honestly now so your data can coach you later.