Out-of-Sample Testing

Also known as: in sample out of sample, oos

Out-of-sample testing reserves a slice of history the strategy never saw, then tests on it only after the strategy is finalised — the discipline that catches overfitting. A real edge survives on unseen data; one that shines in-sample but dies out-of-sample was memorising noise. Touch the out-of-sample set only once.