Prediction of Telecommunication Company Stock Price using Multiple Linear Regression

Abstract

This research focuses on financial case studies, particularly in the realm of stock trading. The foundation for the case study is a combination of documents from a portfolio data mining project and data directly sourced from the Indonesian Stock Exchange. Prediction, a method for estimating future events based on relational patterns in data, is employed in this context. This method is applied to time-series data, which is numerical in nature, such as dates or attribute dates.