Out-of-Sample Data – Historical data reserved exclusively for testing a strategy after development. It is not used in the optimization or tuning process. By evaluating the robot on out-of-sample data, traders check that the strategy still works on “unseen” market conditions. Good out-of-sample performance suggests genuine signal, whereas a big drop-off (compared to in-sample) often indicates overfitting.