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I did struggle a little bit, trying to figure our, how many periods should be predicted, in other to get enough data to pass the 1.000.000 mark,
So it was a bit of a "trial and error", and I did finally just chose 100 periods. Needles to say, that the model accuracy becomes somewhat off, when you only have 20 periods of data, and trying to predict 100.
But besides that, working with ARIMA and TS models isn't that frightening, and I did manage to match the provided result which is June 2023!