Data Science, Stock Price Forecast, Unsupervised Learning, Pattern Recognition, Stumpy.
finding patterns in the multi-dimensional time series It requires a lot of computational power because it is most likely that one of the dimensions will be just a random walk. And we have to identify it somehow. Also, we have to choose the minimum amount of dimensions that we can use to identify