Feature Engineering for Multivariate Stock Market Prediction with Python

feature engineering for stock market prediction, multivariate time series modelling

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