A Neural Network and Web-Based Decision Support System for Forex Forecasting and Trading

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3327)


This study presents a neural network & web-based decision support system (DSS) for foreign exchange (forex) forecasting and trading decision, which is adaptable to the needs of financial organizations and individual investors. In this study, we integrate the back-propagation neural network (BPNN)- based forex rolling forecasting system to accurately predict the change in direction of daily exchange rates, and the Web-based forex trading decision support system to obtain forecasting data and provide some investment decision suggestions for financial practitioners. This research reveals the structure of the DSS by the description of an integrated framework, and meantime we find that the DSS is integrated, user-oriented by its implementation, and practical applications reveal that this DSS demonstrates very high forecasting accuracy and its trading recommendations are reliable.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  1. 1.Department of Management SciencesCity University of Hong KongKowloon, Hong Kong
  2. 2.Institute of Systems Science, Academy of Mathematics and Systems SciencesChinese Academy of SciencesBeijingChina
  3. 3.School of Management, Graduate School of Chinese Academy of SciencesChinese Academy of SciencesBeijingChina
  4. 4.Institute of Policy and Planning SciencesUniversity of TsukubaTsukuba, IbarakiJapan

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