Before revision:  It is found that traditional factors should almost always be included in the feature matrix and moving average rotations of the data can provide important gains for various forecasting targets  .
After revision:  It is found that traditional factors should almost always be included as predictors and moving average rotations of the data can provide important gains for various forecasting targets .