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dc.contributor.authorKrishnaprabha, S-
dc.contributor.authorMaheswari J, Meena-
dc.contributor.authorReshma, M-
dc.contributor.authorDivya Lakshmi, J-
dc.date.accessioned2024-12-03T07:58:11Z-
dc.date.available2024-12-03T07:58:11Z-
dc.date.issued2024-09-10-
dc.identifier.issn26767104-
dc.identifier.urihttps://healthinformaticsjournal.com/index.php/IJMI/article/view/594-
dc.description.abstractThis article aims to illustrate the application of Artificial Intelligence (AI) in predicting stock market movements. By employing technical analysis, stock market predictions are simulated using regression machine learning (ML) algorithms. Using historical price data retrieved from Yahoo Finance, these algorithms predict the stock price trend by the close of each business day. Built upon the LSTM model, the neural network discerns patterns within the data sequences, leveraging these patterns to forecast future price movements accurately.en_US
dc.language.isoen_USen_US
dc.publisherIranian Medical Informatics Association (IrMIA)en_US
dc.subjectAIen_US
dc.subjectMLen_US
dc.subjectLSTMen_US
dc.subjectNeural networken_US
dc.subjectStock market predictionen_US
dc.titleINFORMATION TECHNOLOGY SECTORAL INDEX STOCK PRICE PREDICTION USING ARTIFICIAL INTELLIGENCEen_US
dc.typeArticleen_US
Appears in Collections:2.Article (96)

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