Data Science, Stock Price Forecast, Unsupervised Learning, Pattern Recognition, Stumpy.
prices data is a multivariate time series (4-dimensional time series). Taking the rolling mean and applying, for example, the ARIMA model wasn’t considered a good solution, because it will be highly biased. On the other hand, in the beginning, I didn’t want to use rolling mean because I thought