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How to Utilize Big Data for Business Intelligence in the Stock Market

by Walaa Bajunaid, Maram Meccawy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 9
Year of Publication: 2017
Authors: Walaa Bajunaid, Maram Meccawy
10.5120/ijca2017914112

Walaa Bajunaid, Maram Meccawy . How to Utilize Big Data for Business Intelligence in the Stock Market. International Journal of Computer Applications. 166, 9 ( May 2017), 13-16. DOI=10.5120/ijca2017914112

@article{ 10.5120/ijca2017914112,
author = { Walaa Bajunaid, Maram Meccawy },
title = { How to Utilize Big Data for Business Intelligence in the Stock Market },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 9 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 13-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number9/27697-2017914112/ },
doi = { 10.5120/ijca2017914112 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:13:15.039289+05:30
%A Walaa Bajunaid
%A Maram Meccawy
%T How to Utilize Big Data for Business Intelligence in the Stock Market
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 9
%P 13-16
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Big Data plays a vital role in the stock market, especially for traders who need real-time information. Due to the bulk and nature of such data, several data mining technologies have been developed and employed in their collection, classification, storage and analysis, putting them in a form that is useful to traders. In the stock market, big data is useful in fundamental and technical analysis as it captures both historical trends as well as market sentiment. This paper discusses the possible uses of big data for business intelligence by investors in the stock market.

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Index Terms

Computer Science
Information Sciences

Keywords

Finance Big Data Business Intelligence Stock Market Prediction Decision making.

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