AI / Machine Learningbeginner
Out-of-Sample Period
Definition
The out-of-sample period is historical data held back from strategy development and used after parameters are frozen to validate that the strategy generalises beyond its training data. Out-of-sample performance is the closest backtest-stage analogue of expected live results.