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Reseach Article

Predicting Closing Stock Price using Artificial Neural Network and Adaptive Neuro Fuzzy Inference System (ANFIS): The Case of the Dhaka Stock Exchange

by Mustain Billah, Sajjad Waheed, Abu Hanifa
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 129 - Number 11
Year of Publication: 2015
Authors: Mustain Billah, Sajjad Waheed, Abu Hanifa
10.5120/ijca2015906952

Mustain Billah, Sajjad Waheed, Abu Hanifa . Predicting Closing Stock Price using Artificial Neural Network and Adaptive Neuro Fuzzy Inference System (ANFIS): The Case of the Dhaka Stock Exchange. International Journal of Computer Applications. 129, 11 ( November 2015), 1-5. DOI=10.5120/ijca2015906952

@article{ 10.5120/ijca2015906952,
author = { Mustain Billah, Sajjad Waheed, Abu Hanifa },
title = { Predicting Closing Stock Price using Artificial Neural Network and Adaptive Neuro Fuzzy Inference System (ANFIS): The Case of the Dhaka Stock Exchange },
journal = { International Journal of Computer Applications },
issue_date = { November 2015 },
volume = { 129 },
number = { 11 },
month = { November },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume129/number11/23114-2015906952/ },
doi = { 10.5120/ijca2015906952 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:23:06.215119+05:30
%A Mustain Billah
%A Sajjad Waheed
%A Abu Hanifa
%T Predicting Closing Stock Price using Artificial Neural Network and Adaptive Neuro Fuzzy Inference System (ANFIS): The Case of the Dhaka Stock Exchange
%J International Journal of Computer Applications
%@ 0975-8887
%V 129
%N 11
%P 1-5
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Stock market prediction plays a vital rule in taking financial decisions. Various factors affecting the stock market makes stock prediction somewhat complex and difficult. Different data mining techniques such as Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS) etc are being widely used for predicting stock prices of different stock exchange cases. But there is no good work on stock prediction using ANN and ANFIS for Bangladesh Stock Markets. The goal of this paper is to find out an efficient soft computing technique for Dhaka Stock Exchange (DSE) closing data prediction. In this paper, ANN and ANFIS have been applied on different companies previous data such as opening price, highest price, lowest price, total share traded. The day end closing price of stock is the outcome of ANN and ANFIS model. Our experiment shows that, ANFIS is more effective and efficient technique to predict Dhaka Stock exchange (DSE) data.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Network (ANN) Adaptive Neuro-Fuzzy Inference System (Anfis) Stock prediction DSE Grameenphone