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Data Mining to Facilitate the Trading

by Rajesh Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 9
Year of Publication: 2014
Authors: Rajesh Kumar
10.5120/15233-3767

Rajesh Kumar . Data Mining to Facilitate the Trading. International Journal of Computer Applications. 87, 9 ( February 2014), 1-4. DOI=10.5120/15233-3767

@article{ 10.5120/15233-3767,
author = { Rajesh Kumar },
title = { Data Mining to Facilitate the Trading },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 9 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume87/number9/15233-3767/ },
doi = { 10.5120/15233-3767 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:05:27.404167+05:30
%A Rajesh Kumar
%T Data Mining to Facilitate the Trading
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 9
%P 1-4
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Financial sector is always full of insecurity, owing to volatility in the financial sector, most of the investors fails to book the profit. It has been observed in this study that maximum percentage of return of a security or indices follows the Benford's law when price of the security or indices breaks the volume weighted moving average in upper trend. Results of this study can be used by investors in taking intelligent decisions. This model can be used in machine learning, which can facilitate the investors in the decision support system.

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Index Terms

Computer Science
Information Sciences

Keywords

Moving Averages Data mining Classification Genetic algorithm Benford's law

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