Comparative Study of Support Vector Regression and Long Short-Term Memory for Stock Price Prediction

This study aims to compare the performance of two machine learning algorithms, Long Short-Term Memory (LSTM) and Support Vector Regression (SVR), in predicting the stock prices of PT Bank Rakyat Indonesia (BBRI) using daily historical data from January 1, 2020, to January 10, 2025. The data were pro...

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Bibliografiske detaljer

Principais autores:	Aviva Pradasyah, Anna Baita
Format:	Artigo
Sprog:	Inglês
Udgivet:	Politeknik Negeri Batam 2025-08-01
Serier:	Journal of Applied Informatics and Computing
Fag:	bbri, comparative analysis, lstm, stock price, svr
Online adgang:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9425
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