Detecting Rule Violations With Simple Flags
Posted: Tue Oct 06, 2026 9:30 am
Detecting Rule Violations With Simple Flags
Most traders know which rules they break, but not how often. A set of flags in your journal measures it.
Create yes-or-no columns for each major rule. Examples: Was the setup valid according to my written rules? Was risk within my per-trade limit? Was the stop placed at the planned level and left alone, or moved? Did I take the trade during an allowed session? Was a high-impact news event outside my no-trade window? Did I stay within my daily trade limit and loss limit?
At entry or exit, mark each flag. Any violation turns the trade into a flagged trade. At review, count flagged trades and compute their results separately from clean trades.
The comparison is often striking. Clean trades might show a positive expectancy of 0.3R, while flagged trades show negative 0.5R. Such a gap converts a vague feeling of needing discipline into a measurable cost per violation.
Look for patterns in violations. Do they cluster after losses, late in the day, on certain pairs, or on certain days? Triggers tell you what to change in your environment.
Set a target: for example, 95 percent clean trades for the month. Track it as seriously as profit.
Avoid self-punishment. The aim is information. Honest flags need a safe, private record.
Practical step: add three violation flags to your journal, and apply them to your last twenty trades.
Most traders know which rules they break, but not how often. A set of flags in your journal measures it.
Create yes-or-no columns for each major rule. Examples: Was the setup valid according to my written rules? Was risk within my per-trade limit? Was the stop placed at the planned level and left alone, or moved? Did I take the trade during an allowed session? Was a high-impact news event outside my no-trade window? Did I stay within my daily trade limit and loss limit?
At entry or exit, mark each flag. Any violation turns the trade into a flagged trade. At review, count flagged trades and compute their results separately from clean trades.
The comparison is often striking. Clean trades might show a positive expectancy of 0.3R, while flagged trades show negative 0.5R. Such a gap converts a vague feeling of needing discipline into a measurable cost per violation.
Look for patterns in violations. Do they cluster after losses, late in the day, on certain pairs, or on certain days? Triggers tell you what to change in your environment.
Set a target: for example, 95 percent clean trades for the month. Track it as seriously as profit.
Avoid self-punishment. The aim is information. Honest flags need a safe, private record.
Practical step: add three violation flags to your journal, and apply them to your last twenty trades.