UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2105187


Registration ID:
308859

Page Number

b436-b443

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Title

STOCK RETAIL PROJECTION

Abstract

Predicting the stock market is difficult due to its complicated nature in this competitive world. There are many factors like physical behavior, industrial performance, economic factors, etc., which are going to affect the stock price. Due to these factors and a wide range of markets, Predicating Future stock values with high accuracy become tough. As we know that, learning from the past and predicting the future is one of the best things provided by machine learning algorithms for us. Our paper describes how to use machine learning algorithms such as recurrent neural networks (RNN) and, in particular, the Long-Short Term Memory model (LSTM) to forecast stock prices in the future. The central theme of our paper is how we will forecast stock prices and how we will use these algorithms to achieve high precision in forecasting stock prices

Key Words

Recurrent neural network, Long-Short Term Memory, Predication, Neural-Networks, Stock Market, Long-Term dependencies, National Stock Exchange(NSE).

Cite This Article

"STOCK RETAIL PROJECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.b436-b443, May-2021, Available :http://www.jetir.org/papers/JETIR2105187.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"STOCK RETAIL PROJECTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppb436-b443, May-2021, Available at : http://www.jetir.org/papers/JETIR2105187.pdf

Publication Details

Published Paper ID: JETIR2105187
Registration ID: 308859
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: b436-b443
Country: west godavari , andhrapradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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