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Green Referential Data Base for the Indian Stock Market

by Krishna Kumar Singh, Priti Dimri, Soumitra Chakraborty
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 3
Year of Publication: 2014
Authors: Krishna Kumar Singh, Priti Dimri, Soumitra Chakraborty

Krishna Kumar Singh, Priti Dimri, Soumitra Chakraborty . Green Referential Data Base for the Indian Stock Market. International Journal of Computer Applications. 89, 3 ( March 2014), 8-11. DOI=10.5120/15480-4197

@article{ 10.5120/15480-4197,
author = { Krishna Kumar Singh, Priti Dimri, Soumitra Chakraborty },
title = { Green Referential Data Base for the Indian Stock Market },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 3 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { },
doi = { 10.5120/15480-4197 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:08:16.710960+05:30
%A Krishna Kumar Singh
%A Priti Dimri
%A Soumitra Chakraborty
%T Green Referential Data Base for the Indian Stock Market
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 3
%P 8-11
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

A traditional database methodology has been used in the Indian stock market. Forecasting of the market is not only based on the prices of the stocks but also on other integrated information like socio-economic factors, prices, politics etc. Changing data format and its behavior requires a new methodology to handle and integrate. Investments solely depend upon efficiency and accuracy of the data. Data required for the stock market decision making process is generated from every event and all events have its own impact on the market. Irrespective of the nature of the event and its format, market requires data integration of all kind. Because of acute scarcity of natural resources, processing of the stock market data requires green methodologies which contribute to save energy, power, time, space etc. Fractal behavior of the market shows repetition of the stock prices again and again. Large amount of space, time, power etc have been utilized to store and process these repetitive data. Referential data base is one of the answers to this problem. This paper proposes referential data base for the stock market prices without compromising efficiency and accuracy for market forecasting methods.

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Index Terms

Computer Science
Information Sciences


Stock Market Forecasting Referential database Green methodologies.