I was wondering how people determine the optimal values when backtesting 4 or more variables. For 2 variables, I thought that the 3D map is a great way to find optimal values. 4 or more variables get kind of tricky though. I always had problems picturing the 4th or 5th dimension, let alone modeling it on the computer . Im trying to identify a set of values that has a nice range of profitable results for each variable to help reduce curve fitting. Thanks for the help guys!