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Reseach Article

Algorithmic Trading (AT) - Framework for Futuristic Intelligent Human Interaction with Small Investors

by Archit Bansal, Archit Bansal, Anshul Pachouri
journal cover thumbnail
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 21
Year of Publication: 2010
Authors: Archit Bansal, Archit Bansal, Anshul Pachouri
10.5120/71-660

Archit Bansal, Archit Bansal, Anshul Pachouri . Algorithmic Trading (AT) - Framework for Futuristic Intelligent Human Interaction with Small Investors. International Journal of Computer Applications. 1, 21 ( February 2010), 1-5. DOI=10.5120/71-660

@article{ 10.5120/71-660,
author = { Archit Bansal, Archit Bansal, Anshul Pachouri },
title = { Algorithmic Trading (AT) - Framework for Futuristic Intelligent Human Interaction with Small Investors },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 21 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number21/71-660/ },
doi = { 10.5120/71-660 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:47:26.204149+05:30
%A Archit Bansal
%A Archit Bansal
%A Anshul Pachouri
%T Algorithmic Trading (AT) - Framework for Futuristic Intelligent Human Interaction with Small Investors
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 21
%P 1-5
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Algorithmic trading has become more popular with large institutional investors these days. Big investment giants and top corporate notches are taking undue advantage of these algorithms over small investors. The one of the most critical factor which is limiting small investors to use these algorithms is lack of interactive user interface. This paper proposes a framework for intelligent interaction of these trading algorithms with the user which maintains required user adaptability, modeling and knowledge sharing in the coming future. Further the paper discuss about the various trading algorithms, their areas of concern and its likely impact on the market presently and in coming future.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Algorithmic Trading Volume Weighted Average Price Time Weighted Average Price Direct market access trading agents Market-on-Close