A strategy I'm testing has 15 variables which is proving to be difficult for my machine to handle (8 cores, 16GB RAM). Even when just using 1/2 month of hourly data causes my IDE and python to crash from lack of memory. This is with
bt.Cerebro(stdstats=False). Regardless of what I set
optdatas to, it still crashes out.
Is there a way to save data to the harddrive maybe and then run the optimization loops against that cached copy? I think a feature like that could be helpful in cutting down on the preload required for future runs on the same data.