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
Cite This	A Study on Stock Price Prediction Using LSTM and RNN - K. S. Sukrutha, Ananya.M.S, Dheekshitha Jain M.J, Siya Bojamma T N, Sinchana B.N. - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20961
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.20961
Short DOI	https://doi.org/gtwmrd

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