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The Implications of Big Data in Indian Stock Market

by Krishna Kumar Singh, Priti Dimri, Krishna Nand Rastogi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 5
Year of Publication: 2014
Authors: Krishna Kumar Singh, Priti Dimri, Krishna Nand Rastogi
10.5120/17368-7892

Krishna Kumar Singh, Priti Dimri, Krishna Nand Rastogi . The Implications of Big Data in Indian Stock Market. International Journal of Computer Applications. 99, 5 ( August 2014), 8-11. DOI=10.5120/17368-7892

@article{ 10.5120/17368-7892,
author = { Krishna Kumar Singh, Priti Dimri, Krishna Nand Rastogi },
title = { The Implications of Big Data in Indian Stock Market },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 5 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number5/17368-7892/ },
doi = { 10.5120/17368-7892 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:28:41.562483+05:30
%A Krishna Kumar Singh
%A Priti Dimri
%A Krishna Nand Rastogi
%T The Implications of Big Data in Indian Stock Market
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 5
%P 8-11
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Big, Unstructured, heterogeneous and temporal data is being generated every second in the stock market and it requires a new school of thought which can not only handles its complexities but also able to help in the future prediction and analytics of the market. Big data analytics is a very promising area and buzz word for the next generation information technologies. Knowledge discovery and future forecasting will not possible without handling the core challenges of big data. Stock market is one of the burning areas where data is growing day by day. Because of these heterogeneity and other complexities of data, big data architecture and design is needed which specifically deals with the stock market data and analyze these heterogeneous data for the future prediction of the market. This paper deals with nature of data generated and required for knowledge discovery & future prediction of the stock market. It also deals with the relevance of big data analytics in the stock market.

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Index Terms

Computer Science
Information Sciences

Keywords

Big Data Stock Market forecasting stock market temporal data big data architecture

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