Slippage and spread are the most underestimated costs in quantitative trading. This article explains what each is, when they hit hardest, and why high-frequency or thinly-traded models can see profitable edges disappear once execution is accounted for.
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.