add more comment to make my question clear.

what I want to do is compare multi Indicator to get max one

self.one_pct = bt.indicators.RateOfChange(self.datas[0].close, period=1)
self.two_pct = bt.indicators.RateOfChange(self.datas[1].close, period=1)
self.three_pct = bt.indicators.RateOfChange(self.datas[2].close, period=1)
.....
self.n_pct = bt.indicators.RateOfChange(self.datas[n-1].close, period=1)

what I want to do is find the max one and buy like below

max_stock=findMaxpct()
self.buy(data=max_stock)

how to implement the find_max_pct efficient?

if I have 2 data feeds, google and facebook.

self.google_pct = bt.indicators.RateOfChange(self.datas[0].close, period=1)
self.facebook_pct = bt.indicators.RateOfChange(self.datas[1].close, period=1)

what I want to do is to buy which has bigger pct. like below

 if self.google_pct[0] > self.facebook_pct[0]:
    buy google
else:
   buy facebook

if there are n data feeds, what's the efficient way to find the data feed with max pct?