UGC Approved Journal no 63975

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

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2107294


Registration ID:
312148

Page Number

c200-c204

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Title

Forecasting and Predicting Stock Value using Machine Learning Techniques

Authors

Abstract

Stock Market is considered the primary indicator of a country’s economic strength and development and it is popular and important topic in financial and academic studies. Stock Market is volatile place since there are no significant to estimate price. Stock price are affected by factor like inflation, economic, growth, etc. It is highly depending upon demand and supply. High demanded stock will increase in price whereas heavily sold stock will decrease in price. Many methods like technical analysis, fundamental analysis, time series analysis and statistical analysis are used to predict the price of stock market but none of this method are proved as a consistently acceptable to predict stock price. In this paper, we implemented Long short-term memory (LSTM) model to predict stock price. LSTM are effectively implemented in forecasting stock price, return. We focus on a certain parameter with a relatively significant impact on a stock price of a company. Although stock price can never be predicted with 100% accuracy due to many factors, this paper aims at proving the efficiency of Long Short-term memory for stock price.

Key Words

Long short-term memory, stock price prediction, machine learning, time series analysis.

Cite This Article

"Forecasting and Predicting Stock Value using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.c200-c204, July-2021, Available :http://www.jetir.org/papers/JETIR2107294.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

"Forecasting and Predicting Stock Value using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppc200-c204, July-2021, Available at : http://www.jetir.org/papers/JETIR2107294.pdf

Publication Details

Published Paper ID: JETIR2107294
Registration ID: 312148
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: c200-c204
Country: bangalore, karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162


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