If I have two train cycles, but only want to train a certain parameter based on the previous cycle optif, how could that be done, since in train optif is always reset to 1.

In other words, I only want to train exit parameters (SL) in case the previous cycle without SL did return optif > 1.


What is the goal, prevent overfitting by training and don't make unprofitable traincycles / parametervalues profitable by the exit only.