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Short Term Stock Market Prediction by using Hybrid Approach

by Chetan Gondaliya, Ajay Patel, Satyen Parikh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 52
Year of Publication: 2022
Authors: Chetan Gondaliya, Ajay Patel, Satyen Parikh
10.5120/ijca2022921934

Chetan Gondaliya, Ajay Patel, Satyen Parikh . Short Term Stock Market Prediction by using Hybrid Approach. International Journal of Computer Applications. 183, 52 ( Feb 2022), 6-9. DOI=10.5120/ijca2022921934

@article{ 10.5120/ijca2022921934,
author = { Chetan Gondaliya, Ajay Patel, Satyen Parikh },
title = { Short Term Stock Market Prediction by using Hybrid Approach },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2022 },
volume = { 183 },
number = { 52 },
month = { Feb },
year = { 2022 },
issn = { 0975-8887 },
pages = { 6-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number52/32279-2022921934/ },
doi = { 10.5120/ijca2022921934 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:15:11.331088+05:30
%A Chetan Gondaliya
%A Ajay Patel
%A Satyen Parikh
%T Short Term Stock Market Prediction by using Hybrid Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 52
%P 6-9
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays, finance market has become the most prevalent sector in the world. In finance market, the stock market is a main pillar which represent the major economy of the Country. The stock market nature is random which is dependent on the so many factors like fundamental, technical, overseas news, domestic news, Government policies, global demand and supply etc. Therefore, it is necessary consider each factor which are lies under timeline of the forecast. Most of the researcher have just used technical parameters for stock market prediction. It may happen that stock has good technical although it is not giving the good results. On the other side, stock has poor technical but good sentiment, given good result. Nowadays, the most of the peoples are expressing their views on the social media platforms. This news can be taken to process and discover the features which can be used for the stock market predictions. The main aim of this research paper is to develop hybrid model which can be used technical as well as sentiment parameters for stock market prediction in the short-term duration.

References
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Index Terms

Computer Science
Information Sciences

Keywords

ML algorithms Stock market prediction Sentiment analysis Technical analysis Indian stock market short term prediction