Abstract
This study aims to determine the share price of Indofood CBP Sukses Makmur TBK (ICBP) using three different methods, namely Long Short-Term Memory (LSTM), Logistic Regression and Support Vector Machine (SVM). Daily stock price data from October 2010 to January 2023 are used for input in this study. The LSTM method is used to predict ICBP's stock price by taking information from several previous periods, while Logistic Regression and SVM are used to predict stock price trends.
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