Most trading tools record what happened to price. An emotional trading app is designed to record what happened to the decision maker. It helps answer questions a broker statement cannot: Was the entry planned? Did a previous loss affect size? Did confidence come from preparation or from a recent win?

The goal is not to turn every trade into a long diary entry. The goal is to capture enough context that repeated patterns become visible.

Start with four fields

For every trade, record four things alongside entry, exit, and P&L:

  • Plan: What setup or reason qualified the trade?
  • State: Calm, rushed, fearful, frustrated, bored, or overconfident?
  • Execution: Did you follow the planned entry, size, stop, and target?
  • Review: What would you repeat or change next time?

Use your own language, but keep the categories consistent. “Felt weird,” “not sure,” and “bad market” are hard to review because they do not describe a decision.

Focus on actions, not emotions alone

Emotion is not a problem to eliminate. Fear may stop you from taking an oversized trade. Confidence may help you execute a well-tested setup. The useful question is whether the feeling changed your actions in a way that was outside the plan.

For example, “rushed” becomes useful when it is paired with “entered before confirmation.” “Frustrated” becomes useful when it is paired with “doubled size after a loss.” That connection turns a feeling into evidence you can review.

Keep tags deliberately small

Begin with five or six tags. Good starting tags include FOMO, revenge, hesitation, boredom, overconfidence, and rule break. After several weeks, remove tags that never lead to a useful action and add only those that reflect a real recurring pattern.

Too many tags create the appearance of detail without making reviews better. A short list you use honestly is more valuable than a perfect taxonomy you abandon after three days.

Review weekly, not emotionally after each trade

One trade may be noise. A group of trades with the same trigger is information. During a weekly review, filter for a tag and compare:

  • planned risk versus actual risk;
  • time of day and market conditions;
  • rule adherence;
  • average result; and
  • whether the same feeling led to the same mistake.

This review works especially well beside a trading journal template and a post-trade routine.

PnL App is built for this kind of review: the numbers, the plan, and the decision context sit together so that a vague feeling can become a specific pattern to work on. This is education, not investment advice.