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Python for Finance Cookbook
book

Python for Finance Cookbook

by Eryk Lewinson
January 2020
Beginner to intermediate
432 pages
11h 24m
English
Packt Publishing
Content preview from Python for Finance Cookbook

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It is worth mentioning that backtrader has parameter optimization capabilities, which we present in the code that follows. The code is a modified version of the strategy from this recipe, in which we optimize the number of days in the SMA.

The following list provides details of modifications to the code (we only show the relevant ones, as the bulk of the code is identical to that using bt.Strategy):

  • We add an extra attribute called stop to the class definition—it returns the Terminal portfolio value for each parameter:
def stop(self):        self.log(f'(ma_period = {self.params.ma_period:2d}) --- Terminal Value: {self.broker.getvalue():.2f}')
  • Instead of using cerebro.addstrategy(), we use cerebro.optstrategy(), and provide the ...
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Publisher Resources

ISBN: 9781789618518