In this section, the execution process of the introduced model on the datasets corresponding to eight selected stocks is described. Initially, the hyperparameters employed in the predictive models are defined and discussed to ensure transparency and reproducibility of the trials. Subsequently, the evaluation metrics used to measure model efficiency are presented and explained in detail. Finally, the experimental results obtained from applying each model to the individual stocks are reported separately, allowing for a comprehensive comparison of predictive accuracy across models and datasets. Figure 9 illustrates the overall experimental workflow used in this study for stock price prediction. The workflow starts by acquiring actual…