A single backtest tells you what a model did. A Monte Carlo simulation tells you what it could plausibly have done. This article explains the method, the questions it answers, and how darwintIQ's evaluation philosophy aligns with it.
Skewness and kurtosis describe the shape of a return distribution beyond its mean and standard deviation. This article explains what each captures, why averages can mislead, and how darwintIQ uses higher-moment information when evaluating trading models.