# The Mistake Field - Logging Errors to Stop Repeating Them

> The mistake field in your trading journal is the most direct path from behavioral error identification to behavioral change. Here is how to use it effectively.

**Tags:** mistakes, journaling, discipline, error-tracking
**URL:** https://traderjournal.app/trading-psychology/the-mistake-field-logging-errors-stop-repeating

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# The Mistake Field - Logging Errors to Stop Repeating Them

Every trading journal has a notes field. Far fewer traders maintain a dedicated mistake field - a specific place to log what they did wrong on each trade, separate from general notes.

This distinction matters more than it might seem.

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## Why a Separate Mistake Field

The mistake field does three things that a combined notes field cannot do as effectively:

**Forces binary categorization.** A trade either has a mistake or it does not. This creates clarity. A winning trade that broke a rule is a mistake. A losing trade that followed the plan correctly is not a mistake.

**Creates a filterable dataset.** When mistakes are in a dedicated field, you can filter your trade history for "trades with logged mistakes" and analyze them as a group. From a combined notes field, you would have to manually search and read every entry to extract this data.

**Builds a mistake vocabulary.** When you name your mistakes consistently ("moved stop," "early entry," "sized up without calculation"), your mistakes become categorizable. Over time, you can see which mistake is most frequent and which is most costly.

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## How to Use the Mistake Field

**Log a mistake on every trade that had one.** Do not wait until the trade closes. Log it as soon as you are aware of what you did.

**Be specific.** "Made a mistake" is not useful. "Entered on the 5-minute candle before waiting for the 15-minute confirmation candle to close" is useful. Specificity is what makes the mistake reviewable and correctable.

**Log the absence of mistakes too.** When a trade has no mistakes, leave the mistake field blank or write "None - clean execution." This creates a complete dataset: some trades have mistakes, some do not. The comparison is your analytical tool.

**Do not only log losing trades.** This is a critical error. A trade that broke a rule but won by luck is still a mistake. Logging only losing trades creates the false impression that losses = mistakes and wins = correct execution. The star rating system and mistake field should reflect execution quality, not outcome.

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## Monthly Mistake Review

At the end of each month, filter your journal for trades with logged mistakes. For each mistake type, count:

- How many times did this mistake occur?
- What was the total financial cost of trades with this mistake vs their average expected outcome?

The most frequent mistake and the most costly mistake may be different things. Prioritize interventions on the costliest mistake, even if it is not the most frequent.

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## The Intervention Design

Once you have identified a recurring, costly mistake, design a specific intervention:

**Mistake:** "Entered before 15-minute candle close" (15 occurrences, average cost $45 per occurrence, total cost $675 in 90 days)

**Intervention:** Add to pre-trade checklist: "Is the 15-minute candle closed?" Do not enter unless the answer is yes.

**Verification:** For the next 30 trades, track whether this mistake recurs. If it disappears from the mistake log, the intervention worked. If it persists, the intervention needs redesign.

This systematic approach to mistake-to-intervention-to-verification is how trading behavior actually improves.

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Trader Journal's Trade Detail page includes a dedicated mistake field on every trade.

Download at android.traderjournal.app or ios.traderjournal.app.