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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) |
Files in This Item:
File | Description | Size | Format | |
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INFORMATION TECHNOLOGY SECTORAL INDEX STOCK PRICE PREDICTION USING ARTIFICIAL INTELLIGENCE.pdf | 815.07 kB | Adobe PDF | View/Open |
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