Recurring errors

Repeated error pattern that reduces performance and decision-process reliability.

On this page

Who this is for — Anyone who wants to stop blaming the market and start correcting behaviours that, when repeated, destroy statistical edge.

Recurring errors are plan deviations that keep coming back: early entries, stops moved without criteria, overtrading, missing context filter. The point is not self-judgment, but measurement and correction.

In plain terms — A single mistake can happen; when it returns every week it becomes a fixed cost of your trading.

Bronze prerequisite — Before this lesson: trading-journal, discipline, plan-adherence, trade-lesson. See bronze-path.


How to identify them objectively

You need a simple, repeatable taxonomy:

  • tag every trade with any error;
  • measure frequency and impact in R;
  • distinguish technical error from discipline error;
  • link the error to the process step where it originates.

This data feeds weekly-review and makes improvement verifiable.

Example — Over five weeks, 14 trades appear as "entry without confirmed trigger" for a total of -6.2R. Intervention: no-trade rule if two minimum confirmations from the playbook are missing.


How to reduce them for real

  1. Select at most two priority errors per cycle.
  2. Pair each with a concrete countermeasure.
  3. Insert the countermeasure in checklist.
  4. Verify progress in the feedback-loop.

Card

  • What it is: behaviour not aligned with the plan that tends to repeat.
  • When to use it: in weekly review and daily post-market.
  • Typical mistake: fixing symptoms (outcome) without addressing the process cause.

Silver path — Module: Review. Part of silver-path.