Evaluation of Artificial Immune System with Artificial Neural Network for Predicting Bombay Stock Exchange Trends

Journal of Computer Science, Vol. 7, No. 7, pp. 967-972, 2011

6 Pages Posted: 30 Aug 2011

See all articles by M. Gunasekaran

M. Gunasekaran

Department of MCA, Park College of Engineering and Technology

K.S. Ramaswami

Coimbatore Institute of Technology - Department of Mathematics

Date Written: August 30, 2011

Abstract

The purpose of this study is to develop an artificial immune system for recognizing stock market trends and predict upward and downward directions of stock market. This study compared two prediction models, an Artificial Immune System (AIS) and Artificial Neural Network (ANN) for predicting the future index value, trend of Indian stock market and discovers the best prediction model.

AIS is an efficient system for predicting trend due to its high capability of learning and retaining information in memory. Our proposed system was tested using SENSEX (Sensitive Index) data from Bombay Stock Exchange (BSE) of India.

Performance of models have been evaluated on the basis of the simulation results done on MATLAB. Experiments have been performed for both methods on well-known technical indicators and compared their results with SENSEX data.

Artificial Immune System is more efficient than Artificial Neural Network.

Keywords: Artificial immune system, artificial neural network, technical indicators, bombay stock exchange, stock market

Suggested Citation

Gunasekaran, M. and Ramaswami, K.S., Evaluation of Artificial Immune System with Artificial Neural Network for Predicting Bombay Stock Exchange Trends (August 30, 2011). Journal of Computer Science, Vol. 7, No. 7, pp. 967-972, 2011, Available at SSRN: https://ssrn.com/abstract=1919526 or http://dx.doi.org/10.2139/ssrn.1919526

M. Gunasekaran (Contact Author)

Department of MCA, Park College of Engineering and Technology ( email )

Kaniyur(PO)
Coimbatore
Coimbatore, 641659
India

K.S. Ramaswami

Coimbatore Institute of Technology - Department of Mathematics ( email )

Coimbatore
India

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