Applications of Artificial Intelligence in Financial Markets

Ankit Srivastava, Bhushan Thakare, Dr. Hemant Deshmukh

Abstract


The aim of artificial intelligence is to develop the
machines that perform the tasks in a similar way to humans.
Another aim of Artificial Intelligence is to understand the
actions whether it occurs in humans, machines or
animals. .Thus, artificial intelligence is getting attention in
science and engineering fields. Artificial intelligence ways
have intensive application in several fields like drugs, games,
transportation, or serious business. This paper deals with
knowledge domain problems – interconnection of computing
and finance. During this paper, we tend to review the
likelihood of applying 2 well-known techniques neural
network and data processing in financial market prediction.
As neural network is in a position to extract helpful data from
an enormous information set and data processing is
additionally able to predict future behaviours and trends.
Therefore, a mix of each these techniques may build the
prediction a lot of reliable.


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References


Schoeneburg, E.(1990), “Stock Price Prediction Using Neural Networks:

A Project Report”,Neurocomputing, vol. 2, pp. 17-27.

International Journal of Artificial Intelligence & Applications (IJAIA),

Vol.4, No.1, January 2013.

http://www.ijarcce.com/upload/2015/november-15/IJARCCE%2072.pdf

http://aircconline.com/ijaia/V4N1/4113ijaia09.pdf.

http://econpapers.repec.org/article/prfjournl/v_3a6_3ay_3a2012_3ai_3a1

_3ap_3a62-76.html.

http://www.thearling.com/text/dmwhite/dmwhite.htm.

http://academic.csuohio.edu/fuy/Pub/pot97.pdf.

http://searchnetworking.techtarget.com/definition/neural-network.

https://en.wikipedia.org/wiki/Artificial_neural_network.

http://shodhganga.inflibnet.ac.in/bitstream/10603/6897/13/13_chapter%2

pdf.


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