To start the calculations, click Run after you create and save the workspace. The progress bars will indicate the progress of the calculations.
The first progress bar, Evaluating sub-cluster features, shows the group (Index) of sub-cluster the program is working with and the parameter line number.
The second progress bar, Processing data, shows the data file used in the calculation.
The third progress bar, Applying Target and Stop, shows which profit target and stop-loss pair is applied in terms of their position in the T/S file.
Useful information about the learning process is found below the progress bars.
The main cluster type is shown. The percent of calculations completed is displayed and that takes into account all parameter lines.
The deep learning efficiency can be low, average, high and very high. If percent completed is more than 75% and efficiency remains low, this should be a warning that it may be advisable to terminate running and consider changing parameters.
Total features tested refers to extracted features and Total accepted features refers to strategies identified from the extracted features. These numbers should much at the end of the calculations.
Total predictions is related to the number of signals generated by accepted strategies.
The above information allows the user to evaluate progress in real-time and to decide whether to continue or abort to save development time.
Clicking Abort terminates the calculations. No results are saved in this case.