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Green Referential Data Base for the Indian Stock Market

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 3
Year of Publication: 2014
Krishna Kumar Singh
Priti Dimri
Soumitra Chakraborty

Krishna Kumar Singh, Priti Dimri and Soumitra Chakraborty. Article: Green Referential Data Base for the Indian Stock Market. International Journal of Computer Applications 89(3):8-11, March 2014. Full text available. BibTeX

	author = {Krishna Kumar Singh and Priti Dimri and Soumitra Chakraborty},
	title = {Article: Green Referential Data Base for the Indian Stock Market},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {3},
	pages = {8-11},
	month = {March},
	note = {Full text available}


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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