Forecasting, Deep Learning, Arima, Goldman Sachs, Data Science.
apparent by simply looking at the raw stock prices. One common approach to using Fourier Transformation for stock price prediction is to decompose the data into different frequency bands and then use each band to make a separate prediction. For example, low-frequency components may be used to