Complexity Is Usually an Alibi

Every extra indicator adds degrees of freedom. Degrees of freedom make it easier to rationalize any outcome.

Complexity also increases conflict: more signals disagree, so entries become late and exits become emotional.

Simple doesn’t mean naive. Simple means falsifiable and executable.

Practical framing: the market is a feedback system. Your job is to remove the behaviors that produce the same loss pattern, not to “feel better” about it.

• Turn recurring mistakes into hard gates.
• Reduce degrees of freedom when you’re losing.
• Make the next decision simpler than the last.

Add filters → signals conflict → fewer clean trades → late entries → churn → ‘needs tuning’ → endless tuning → death by attrition.

How it kills accounts:

1. The rule exists only in your head.
2. Stress arrives and you improvise.
3. Improvisation becomes inconsistency.
4. Inconsistency becomes random results.
5. Random results become a slow bleed.

If you can’t state what makes the strategy win and lose, it’s not ready.
Prefer few variables with clear roles.
Complexity must earn its keep with out-of-sample robustness.

Rule that survives:

• Write the trigger in observable terms.
• Write the action in one sentence.
• Write the penalty for breaking it.

You add indicators until you feel ‘safe’. Then you can’t trade because nothing aligns. When you finally do, it’s late. Complexity didn’t reduce risk; it reduced clarity.

Tell: if your rule isn’t enforceable, it’s a suggestion. Suggestions don’t survive stress.

Falsifiability is power

A strategy you can’t falsify is a strategy you can’t improve. The point of rules is to be testable, not impressive.

Related: Data is not neutral.

Glossary: overfitting.

Field checklist

• Write the rule in observable terms: if X, then Y.
• Remove choices under stress. Choices become rationalizations.
• Track the precursor: what state were you in before the mistake?
• Make deviations costly (size down, pause, review).
• Turn lessons into gates, not notes.