An Intelligent Model for Stock Market Prediction

This paper presents an intelligent model for stock market signal prediction using Multi-Layer Perceptron (MLP) Artificial Neural Networks (ANN). Blind source separation technique, from signal processing, is integrated with the learning phase of the constructed baseline MLP ANN to overcome the proble...

Full description

Bibliographic Details
Main Authors: IbrahimM. Hamed, AshrafS. Hussein, MohamedF. Tolba
Format: Article
Language:English
Published: Springer 2012-08-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Online Access:https://www.atlantis-press.com/article/25867998.pdf
_version_ 1811252381163192320
author IbrahimM. Hamed
AshrafS. Hussein
MohamedF. Tolba
author_facet IbrahimM. Hamed
AshrafS. Hussein
MohamedF. Tolba
author_sort IbrahimM. Hamed
collection DOAJ
description This paper presents an intelligent model for stock market signal prediction using Multi-Layer Perceptron (MLP) Artificial Neural Networks (ANN). Blind source separation technique, from signal processing, is integrated with the learning phase of the constructed baseline MLP ANN to overcome the problems of prediction accuracy and lack of generalization. Kullback Leibler Divergence (KLD) is used, as a learning algorithm, because it converges fast and provides generalization in the learning mechanism. Both accuracy and efficiency of the proposed model were confirmed through the Microsoft stock, from wall-street market, and various data sets, from different sectors of the Egyptian stock market. In addition, sensitivity analysis was conducted on the various parameters of the model to ensure the coverage of the generalization issue. Finally, statistical significance was examined using ANOVA test.
first_indexed 2024-04-12T16:33:56Z
format Article
id doaj.art-750be443404a4de7b4a9a3abc2987971
institution Directory Open Access Journal
issn 1875-6883
language English
last_indexed 2024-04-12T16:33:56Z
publishDate 2012-08-01
publisher Springer
record_format Article
series International Journal of Computational Intelligence Systems
spelling doaj.art-750be443404a4de7b4a9a3abc29879712022-12-22T03:25:03ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832012-08-015410.1080/18756891.2012.718108An Intelligent Model for Stock Market PredictionIbrahimM. HamedAshrafS. HusseinMohamedF. TolbaThis paper presents an intelligent model for stock market signal prediction using Multi-Layer Perceptron (MLP) Artificial Neural Networks (ANN). Blind source separation technique, from signal processing, is integrated with the learning phase of the constructed baseline MLP ANN to overcome the problems of prediction accuracy and lack of generalization. Kullback Leibler Divergence (KLD) is used, as a learning algorithm, because it converges fast and provides generalization in the learning mechanism. Both accuracy and efficiency of the proposed model were confirmed through the Microsoft stock, from wall-street market, and various data sets, from different sectors of the Egyptian stock market. In addition, sensitivity analysis was conducted on the various parameters of the model to ensure the coverage of the generalization issue. Finally, statistical significance was examined using ANOVA test.https://www.atlantis-press.com/article/25867998.pdfstock market predictiontechnical indicatorartificial neural networksblind source separation
spellingShingle IbrahimM. Hamed
AshrafS. Hussein
MohamedF. Tolba
An Intelligent Model for Stock Market Prediction
International Journal of Computational Intelligence Systems
stock market prediction
technical indicator
artificial neural networks
blind source separation
title An Intelligent Model for Stock Market Prediction
title_full An Intelligent Model for Stock Market Prediction
title_fullStr An Intelligent Model for Stock Market Prediction
title_full_unstemmed An Intelligent Model for Stock Market Prediction
title_short An Intelligent Model for Stock Market Prediction
title_sort intelligent model for stock market prediction
topic stock market prediction
technical indicator
artificial neural networks
blind source separation
url https://www.atlantis-press.com/article/25867998.pdf
work_keys_str_mv AT ibrahimmhamed anintelligentmodelforstockmarketprediction
AT ashrafshussein anintelligentmodelforstockmarketprediction
AT mohamedftolba anintelligentmodelforstockmarketprediction
AT ibrahimmhamed intelligentmodelforstockmarketprediction
AT ashrafshussein intelligentmodelforstockmarketprediction
AT mohamedftolba intelligentmodelforstockmarketprediction