Applying talib "all_all_ta_features" throws an error in Strategy

[adamjbradley]

Or should I just apply to the df prior to passing it to the Backtest call?

class SprayAndPray(Strategy):
  def init(self):
    def ApplyAllIndicators(data):
      print(data.df)
      data.df = add_all_ta_features(data.df, open="Open", high="High", low="Low", close="Close", volume="Volume", fillna=True)
      return ApplyAllIndicators(data)
  
  self.I(ApplyAllIndicators, self.data)

  def next(self):
  ...

[kernc]

Or should I just apply to the df prior to passing it to the Backtest call?

That would be better. Since it's generated on-the-fly, Strategy.data.df cannot be assigned to in the way you expect.

[adamjbradley]

Thank you!

[BradKML]

@adamjbradley as a note from the future, does this include "candle sticks" (medium frequency) or just only momentum (slow trades)?