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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Paper Title
STOCK PRICE PREDICTION USING RECURRENT NEURAL NETWORK AND LONG SHORT-TERM MEMORY
Authors
Redhanya S, Kousic R, Anitha S, Jona JB
Keywords
Recurrent Neural Network, Time Stamp, Long Short-Term Memory, Stock Price Prediction.
Abstract
Stock markets and stock markets have a
huge impact on our world. A rise or fall in stock prices determines whether an investor will make a profit. Current forecasting methods use both dynamic and linear algorithms, but the focus is on predicting the stock price of a single company based on the daily open /close prices. The proposed method uses an independent approach. Instead of adapting the data to a particular model, use a deep learning architecture to identify the potential dynamics present in the data. This paper uses two different deep learning architectures for Tata Beverages from Tata Global Beverages Limited, the National Stock Exchange of India, with minimal error. Use recurrent neural networks to predict future value in the short term. Model performance was quantified using percent error.
IJCRT's Publication Details
Unique Identification Number - IJCRT2203411
Paper ID - 214277
Page Number(s) - d625-d627
Pubished in - Volume 10 | Issue 3 | March 2022
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Redhanya S, Kousic R, Anitha S, Jona JB, "STOCK PRICE PREDICTION USING RECURRENT NEURAL NETWORK AND LONG SHORT-TERM MEMORY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 3, pp.d625-d627, March 2022, Available at :http://www.ijcrt.org/papers/IJCRT2203411.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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