In this paper. we propose utilizing machine learning methods to determine the expected aggregated stock market risk premium based on online investor sentiment and employing the multifold forward-validation method to select the relevant hyperparameters. Our empirical studies provide strong evidence that some machine learning methods. such as extreme gradient boosting or random forest. https://jeepworldes.shop/product-category/christmas/