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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21664
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| Paper Title: | Analysing Market factors for Stock Market Prediction using deep learning Techniques |
| Authors Name: | Kavya , Anjali , Aditi Agarwal |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204380
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| Published Paper Id: | IJRTI2506055 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | The stock market is inherently volatile and complex, making accurate prediction a challenging task. Recent advancements in deep learning, particularly Long Short-Term Memory (LSTM) networks, have shown significant promise in modeling sequential data such as stock prices. This paper explores the use of LSTM networks for stock market prediction, focusing on their ability to capture temporal dependencies and non-linear patterns in financial time series. We present an overview of the LSTM architecture and discuss its advantages over traditional methods. Furthermore, a comprehensive literature review is conducted to analyze various implementations and performances of LSTM-based models in stock price forecasting. The goal is to establish a foundation for future research and implementation strategies in financial forecasting using deep learning. |
| Keywords: | Stock Market Prediction, Deep Learning, LSTM, Time Series Forecasting, Financial Data, Machine Learning. |
| Cite Article: | "Analysing Market factors for Stock Market Prediction using deep learning Techniques", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.a484-a488, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506055.pdf |
| Downloads: | 000463 |
| ISSN: |
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: IJRTI2506055
Registration ID:204380
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: a484-a488 Country: Bengaluru, Karnataka, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506055 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506055 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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