Max number of features allowed in Signal0 in adviseLong /Short

Just wondered if there is any chance of increasing the limit from 20? I realise just chucking loads of variables at a machine learning technique is not the right way to go about things, but I find using Signal0 in conjunction with the SIGNALS method a fantastically efficient way of assembling a set of features. I can then open the resulting CSV file in R and quickly test those features with RFE, stabsel, Boruta etc etc. No worries if not possible - even with the 20 limit it's much more efficient than cobbling it all together in R! Thx

The number can be relatively easily increased when using not the next trade result, but the Objective parameter as training target. I've made a notice for a future implementation.

Much appreciated. Thx