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In the last method, golden_cross(), we get the stock’s historical data from the last year and extract the closing prices and corresponding dates on lines 80–85, putting them into two lists. We convert those lists into pandas series so they can be used as input for the ta library function, bollinger_mavg(), which generates simple moving averages for the stock. We concatenate the pandas series that contain the price, indicators, and dates into a single dataframe on lines 91–92, and finally call get_last_crossing(), which returns 1 if there was a golden cross, 0 if nothing happened, and -1 for a death cross. If you want to use a golden cross strategy with indicators other than the simple moving average, this documentation for the ta library provides many options, Buy Bitcoin with cash berlin, buy bitcoin in 2011. You are solely responsible for making your own investment decisions. 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