Mechanism
Drawdowns compound. A 50% loss needs a 100% gain to recover. Sequence matters because losses early reduce capital, reducing the ability to benefit from later gains.
Leverage amplifies sequence risk. Costs amplify it too.
This is why “average monthly return” is a weak metric compared to drawdown and worst streak.
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.
How it kills accounts
Early losses → reduced capital → emotional stress → size changes → missed recovery → prolonged drawdown → abandonment.
How it kills accounts:
- The rule exists only in your head.
- Stress arrives and you improvise.
- Improvisation becomes inconsistency.
- Inconsistency becomes random results.
- Random results become a slow bleed.
Rule that survives
Size for worst plausible streak, not average month.
Track max drawdown and worst run, not just average.
Survival comes before optimisation.
Rule that survives:
- Write the trigger in observable terms.
- Write the action in one sentence.
- Write the penalty for breaking it.
Example archetype
A system makes +2% per month on average, but suffers occasional -20% clusters. If the cluster arrives early, you’re emotionally and financially crippled. Average didn’t save you.
Tell: if your rule isn’t enforceable, it’s a suggestion. Suggestions don’t survive stress.
Deep dive
What to measure
Measure: worst peak-to-trough drawdown, worst 10-trade sequence, and time to recovery. Those metrics predict behavior under stress.
Glossary: sequence risk, drawdown.
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.