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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: May 2026
Volume 11 | Issue 5
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 120
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| Paper Title: | Stock Market Prediction Using Long Short-Term Memory (LSTM) Networks |
| Authors Name: | Arpash Singh , Dhruv Rathi , Hardik Kapil |
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IJRTI_211668
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| Published Paper Id: | IJRTI2604203 |
| Published In: | Volume 11 Issue 4, April-2026 |
| DOI: | |
| Abstract: | Stabilizations of stock market prices vary rapidly, and the market is unpredictable and hard to forecast the prices; therefore, the need for robust time-varying models like the LSTM. To enhance the quality of prediction, this study uses several financial features to feed the model with more information and richer features. It performs the required preprocessing, including data cleaning, data normalization, and the generation of time windows to make sure that the dataset is prepared well to be trained in the LSTM architecture. A stacked LSTM network is then trained to know both the short-term and long-term changes in the price in the market. The model performance is measured by RMSE, MAE, and R² in order to obtain a clear and precise measurement of performance in terms of prediction accuracy. The results indicate that LSTM is better than traditional models like ARIMA and linear regression because it is more appropriate for predicting stocks in a stock market. |
| Keywords: | Stock market prediction, long short-term memory (LSTM), deep learning, financial data analysis, Python programming, and machine learning techniques. |
| Cite Article: | "Stock Market Prediction Using Long Short-Term Memory (LSTM) Networks", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b492-b497, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604203.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2604203
Registration ID:211668
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier):
Page No: b492-b497 Country: Meerut, Uttar Pradesh, India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604203 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604203 |
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ISSN: 2456-3315
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