International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

AI-Powered Stock Market Analysis with LSTM

Author(s) Shailaja Rautrao, Tejas Raut, Chaitanya Naik, Aniket Mishra, Anuja Chincholkar
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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