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  Published Paper Details:

  Paper Title

STOCK PRICE PREDICTION USING LONG SHORT-TERM MEMORY

  Authors

  Sharrath M,  Jerome Francis D,  Ilam Tamil Keeran K.M,  Kulasai Muthu Raman M

  Keywords

Python,Google colab,Machine learing with lstm,Operting system

  Abstract


In the finance world stock trading is one of the most important activities. Stock market prediction is an act of trying to determine the future value of a stock other financial instrument traded on a financial exchange. This paper explains the prediction of a stock using Machine Learning. The technical and fundamental or the time series analysis is used by the most of the stockbrokers while making the stock predictions. The programming language is used to predict the stock market using machine learning is Python. In this paper, we propose a Machine Learning approach that will be trained from the available stocks data and gain intelligence and then uses the acquired knowledge for an accurate prediction. In this context this study uses a machine learning technique called Long Short-Term Memory (LSTM) to predict stock prices for the large and small capitalizations.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT22A6418

  Paper ID - 221849

  Page Number(s) - d428-d431

  Pubished in - Volume 10 | Issue 6 | June 2022

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Sharrath M,  Jerome Francis D,  Ilam Tamil Keeran K.M,  Kulasai Muthu Raman M,   "STOCK PRICE PREDICTION USING LONG SHORT-TERM MEMORY", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 6, pp.d428-d431, June 2022, Available at :http://www.ijcrt.org/papers/IJCRT22A6418.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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