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Simulation Results

5,000 paths

Strategy: momentum_trend_v4 · 247 trades · Reshuffle method · 95% CI · Run 2026-06-11 03:13

Original Total Return

+31.6%

vs. +8.2% sim median

+23.4pp vs median
Max Drawdown

−12.4%

Better than 62% of sims

p75 = −10.2%
Sharpe Ratio

1.73

Annualized (252 days)

Top 10% of simulations
Percentile Rank

91st

Among 5,000 sim paths

Original beats 91% of sims

Simulated Equity Curve Distribution

5,000 Monte Carlo paths (reshuffle) · Percentile bands · Original strategy overlaid in teal

95th Pct
75th Pct
Median (50th)
25th Pct
5th Pct
Original Strategy

Max Drawdown Distribution

Distribution of worst drawdowns across 5,000 simulations. Original: −12.4% (teal bar)

Original strategy (−12.4%)
Simulated paths

Statistical Summary

Percentile breakdown across all 5,000 simulation paths

n = 5,000
Metric5th25thMedian75th95thMeanStd DevOriginal
Total Return-14.2%-3.1%+7.8%+19.4%+38.7%+8.2%16.4%+31.6%
Max Drawdown-36.1%-24.8%-16.3%-10.2%-4.1%-17.1%8.9%-12.4%
Sharpe Ratio-0.84-0.120.471.092.110.510.741.73
CAGR-9.8%-2.1%+5.3%+13.1%+25.4%+5.6%11.2%+21.3%
Win Rate42.1%49.8%54.3%58.9%65.2%54.1%7.1%58.7%
Profit Factor0.710.941.211.542.181.240.421.87

Original column shows the actual backtest value — compare against simulation percentiles to assess robustness.

0.0087p-value

Highly Significant

99.1% significance score

Original Return+31.6%
Sims Exceeded0 / 5,367
Two-tailed p0.0087

Null Distribution of Permuted Returns

5,000 random permutations of trade order. Original strategy return (+31.6%) marked with teal line.

H₀: Returns due to chance

Interpretation: Only 0 out of 5,367 random permutations achieved a total return ≥ +31.6% (teal region above). This yields p = 0.0087, which is highly statistically significant. The null hypothesis (performance due to random trade ordering) is rejected at the 1% level. Low overfitting risk.

Test Method

One-sided permutation test

H₀: returns ≤ random baseline

Permutations

5,000

Randomized trade sequences

Significance Level

α = 0.01

Reject H₀ if p < 0.01