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

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A Study on Stock Price Prediction Using LSTM and RNN

Author(s) K. S. Sukrutha, Ananya.M.S, Dheekshitha Jain M.J, Siya Bojamma T N, Sinchana B.N.
Country India
Abstract Stock price prediction remains a critical task in financial markets, influencing investment decisions and portfolio management. This research paper explores the efficacy of Long Short-Term Memory (LSTM) and Recurrent Neural Networks (RNN) in forecasting stock prices.
Keywords Stock price prediction, Deep learning, Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Machine learning, Data visualization, Real-world dataset, Investment decisions
Field Computer Applications
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-24
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.20961
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E-ISSN 2582-2160
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