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Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence

by Mohammad Badrul Alam Miah, Md. Zakir Hossain, Md. Amjad Hossain, Md. Muzahidul Islam
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 3
Year of Publication: 2015
Authors: Mohammad Badrul Alam Miah, Md. Zakir Hossain, Md. Amjad Hossain, Md. Muzahidul Islam
10.5120/19516-1136

Mohammad Badrul Alam Miah, Md. Zakir Hossain, Md. Amjad Hossain, Md. Muzahidul Islam . Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence. International Journal of Computer Applications. 111, 3 ( February 2015), 5-9. DOI=10.5120/19516-1136

@article{ 10.5120/19516-1136,
author = { Mohammad Badrul Alam Miah, Md. Zakir Hossain, Md. Amjad Hossain, Md. Muzahidul Islam },
title = { Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 3 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number3/19516-1136/ },
doi = { 10.5120/19516-1136 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:52.989811+05:30
%A Mohammad Badrul Alam Miah
%A Md. Zakir Hossain
%A Md. Amjad Hossain
%A Md. Muzahidul Islam
%T Price Prediction of Stock Market using Hybrid Model of Artificial Intelligence
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 3
%P 5-9
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today, investment by purchasing stock-share constitutes the greater part of economic exchange of countries and a considerable amount of capital is exchanged through the stock markets in the whole world. But one of the most important problems is finding efficient ways to summarize and visualize the stock market data to individual or institutions useful information about the market behavior for investment decision. This research proposes an intelligent stock market forecasting system using the ability of neural network and fuzzy inference system to discover patterns in nonlinear and chaotic systems. This research with a probe in a sample of the whole population of the study involves the data financial record of BEXIMCO Ltd. which is member of Chittagong stock exchange, Bangladesh, aims at the prediction of stock price. The prediction was done by a nonlinear fuzzy-neural network model using exogenous variable of stock market.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence (AI) Artificial Neural Network (ANN) Feed Froward Network Prediction Back Propagation Fuzzy Logic Stock Market and Share.

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