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ASME Press Select Proceedings

Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17

Editor
C. H. Dagli
C. H. Dagli
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ISBN-10:
0791802655
No. of Pages:
650
Publisher:
ASME Press
Publication date:
2007

In this study, a Jordan∕Elman neural network model is proposed for stock market forecasting using technical trading indicators in order to predict the next day closing price of a particular stock value. The technical indicators chosen to represent the stock characteristics are sampled from independent indicator types, such as trend, mode, momentum and volatility. The training data is obtained from NYSE historical data of TKC stock and QQQQ ETF between 1999 and 2005. With the trained network, 2006 data has been tested and promising results are achieved. For performance evaluation, different buy-sell rules are created using the most common technical...

Abstract
Introduction
Model Design
Test Results
Results and Conclusion
Nomenclature
References
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