Forecasting, Deep Learning, Arima, Goldman Sachs, Data Science.
different frequencies and amplitudes. By applying Fourier Transformation to stock market data, we can decompose the data into its component frequencies and examine how they contribute to the overall pattern. This can help us to identify trends, cycles, and other patterns in the data that may not be