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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Volume 10 | Issue 3
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Paper Title
Stock Market Analysis And Prediction
Authors
  Amith Holla,  Gopal Sharma,  Aakash Prasad

Abstract
A stock is a kind of investment that represents an ownership share in a company. The market is saturated with countless options of stocks and choosing the right ones for good business and financial opportunities requires a knowledge of the past trends and various other factors which makes it hard to analyze them using traditional data processing applications. With the advent of technologies like data science, extraction and analysis of these sets of data are made possible. These extracted datasets from the huge data pools of the stock market can be used to predict future trends by the use of machine learning, specifically recurring neural networks. As the stock data is in the form of a time series model the intent of this project is to use LSTM model for prediction and provide a web app service which extracts, analyses, predicts and visualizes stock information into a much generally accessible lingo.

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Publication Details
Unique Identification Number - IJEDR2201013
Page Number(s) - 71-74
Pubished in - Volume 10 | Issue 1 | March 2022
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Amith Holla,  Gopal Sharma,  Aakash Prasad,   "Stock Market Analysis And Prediction", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.10, Issue 1, pp.71-74, March 2022, Available at :http://www.ijedr.org/papers/IJEDR2201013.pdf
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