Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/5308
Title: INFORMATION TECHNOLOGY SECTORAL INDEX STOCK PRICE PREDICTION USING ARTIFICIAL INTELLIGENCE
Authors: Krishnaprabha, S
Maheswari J, Meena
Reshma, M
Divya Lakshmi, J
Keywords: AI
ML
LSTM
Neural network
Stock market prediction
Issue Date: 10-Sep-2024
Publisher: Iranian Medical Informatics Association (IrMIA)
Abstract: This 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.
URI: https://healthinformaticsjournal.com/index.php/IJMI/article/view/594
ISSN: 26767104
Appears in Collections:2.Article (96)

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