International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 6
November-December 2024
Indexing Partners
AI-Powered Stock Market Analysis with LSTM
Author(s) | Shailaja Rautrao, Tejas Raut, Chaitanya Naik, Aniket Mishra, Anuja Chincholkar |
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Country | India |
Abstract | This paper uses LSTM networks for stock price prediction with Yahoo Finance data, showing its effectiveness in capturing market patterns. An interactive web app is developed for visualizing predictions, aiding investment decisions. |
Keywords | Long Short-Term Memory(LSTM), Machine Learning, Predective Modelling,Data Preprocessing, Investment Strategy |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-11-19 |
Cite This | AI-Powered Stock Market Analysis with LSTM - Shailaja Rautrao, Tejas Raut, Chaitanya Naik, Aniket Mishra, Anuja Chincholkar - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.30563 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.30563 |
Short DOI | https://doi.org/ |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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