Застосування методів машинного навчання до прогнозування часових фінансових рядів

Abstract

In this study, machine learning algorithms for time series forecasting were considered. In the course of the work, software was developed for forecasting the number of Microsoft shares sold per day. The performance of the trained models was also evaluated by graphically presenting the prediction results together with the actual values of the number of shares sold.