Now I know if I use the actual walk forward optimizer it will optimize a pre determined amount of data lets say 14 days and then apply those settings to a test period lets say 7 days. I understand that it will optimize my variables for the 14 days and apply those values to the following 7 day period and spit out a value.
But why when I change no settings and don't have it try to optimize anything it will show a increased value as the end result?
Now if I change the time periods from the 28 to 28 to 14 to 7 or 21 and 14 the end number does change. I guess my question is why isn't my end result with walk forward using the settings I used for optimization not exactly the same as a back test with the optimized settings?
Comment