When testing a strategy on historical data, it is beneficial to reserve a time period of historical data for later testing. The initial historical data on which the strategy is generated, tested and optimized is referred to as the IS (In Sample) data. It is also called Training data.
The data set that has been reserved is known as OOS (Out of Sample) data or Trading data. This setup is an important part of the evaluation process because it provides a way to test the strategy on data that has not been a component in the optimization model. As a result, the strategy will not have been influenced in any way by the OOS data and traders will be able to determine how well the system might perform on new data.
EA Studio displays the OOS part of the chart in light green.
The single option lets you choose what amount of the data to use for OOS testing.
The Review panel shows a short summary of the backtest of the in-sample and the out of sample behavior of the strategy.
Here you can see the full data about the In Sample, the Out of Sample and the Complete backtest.