Feature Engineering for Multivariate Stock Market Prediction with Python
Multivariate forecasting models do not rely exclusively on historical time series data but use additional features (multivariate = multiple input variables) such as moving averages or momentum indicators. The underlying assumption is that various variables increase the accuracy of a forecast by helping the model identify patterns in the historical … Read more