Objective
To evaluate whether a trading system can remain viable during an extended losing streak, and how risk per trade affects survivability.Setup
- Initial capital: $10,000
- System: positive expectancy
- Win rate: 40%–50%
- Scenario: 20 consecutive losses
- Risk per trade: 1%, 3%, 5%
Key Assumption
Losing streaks of this magnitude, while rare, are statistically possible over a large number of trades. This case focuses on survival, not profitability.Equity Impact
Figure — Impact of risk over 20 consecutive losses [INSERT CHART HERE]Results
After 20 consecutive losses:- 1% risk → ~ -18% drawdown
- 3% risk → ~ -45% drawdown
- 5% risk → ~ -64% drawdown
Interpretation
All systems experience the same sequence of losses. The difference in outcome is entirely determined by risk per trade. At lower risk levels, the system remains structurally intact.At higher risk levels, the same sequence produces critical drawdowns.
Recovery Implications
Drawdown directly impacts recovery requirements:- -18% → +22% needed
- -45% → +82% needed
- -64% → +178% needed
Structural Insight
A trading system does not fail because of losses.It fails when it cannot survive the distribution of those losses.
Conclusion
Extended losing streaks are a natural outcome of probabilistic systems. Risk per trade determines whether these events are:- survivable
- or destructive
Final Insight
The objective is not to avoid losing streaks.It is to ensure the system remains operational when they occur.