A Genetic Programming Approach for Optimal Trading Strategies

Authors(3) :-R.Divya, M.Divya, K.Surya

This paper is about an outline for computerized development of information in stock trade strategy. Actions are extracted from information post offered in open content with no explanation. We study the introduced plan by deriving trade strategy base on scientific indicator and impact of the extract actions. The strategy take the structure of policy that merge scientific trade indicator with a consecutively adaptable, and are exposed throughout the utilize of genetic programming. We discovery that the information changeable is frequently incorporated in the best possible trading policy, representing the further charge of information for projecting purpose and validate our future structure for consequentially incorporate reports in stock trade strategy.

Authors and Affiliations

R.Divya
Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
M.Divya
Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India
K.Surya
Dhanalakshmi College of Engineering, Chennai, Tamilnadu, India

Computer applications, evolutionary computing and genetic algorithms, learning, natural language processing, web text analysis.

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Publication Details

Published in : Volume 1 | Issue 2 | March-April 2015
Date of Publication : 2015-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 151-155
Manuscript Number : IJSRSET152253
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

R.Divya, M.Divya, K.Surya, " A Genetic Programming Approach for Optimal Trading Strategies, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.151-155, March-April-2015.
Journal URL : http://ijsrset.com/IJSRSET152253

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