During the creation process, a continuous set of years must be chosen for the initial backtest of your model. We recommend using years leading up to the present day for models intended to be taken live.
Each period of the backtest will use out-of-sample data with respect to the sample data used to train the model. Typically at any given point in time, the in-sample data of the model is the previous 8 years of data.
We generally recommend backtesting at least 8 years when possible.
The training frequency sets the interval at which the underlying statistical models are trained with new data. Increasing this frequency will result in more up to date data being included in the in-sample data. The computation required is increased which will incur a higher cost though.