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TAIEX Forecasting Based on Fuzzy Time Series and Technical Indices Analysis of the Stock Market

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Recent Trends in Applied Artificial Intelligence (IEA/AIE 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7906))

Abstract

This paper presents a new method for forecasting the TAIEX based on fuzzy time series and technical indices analysis of the stock market. Because the proposed method uses both fuzzy time series and technical indices analysis of the stock market to analyze the historical training data in details for forecasting the TAIEX, it can get higher forecasting accuracy rate than the existing methods. The contribution of this paper is that we present a new fuzzy time series forecasting method based on the MACD index, combined with the stochastic line indices (KD indices) to forecast the TAIEX. It gets a higher average forecasting accuracy rate than the existing method for forecasting the TAIEX.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan

    Shyi-Ming Chen & Cheng-Yi Wang

Authors
  1. Shyi-Ming Chen
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  2. Cheng-Yi Wang
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University, 78666, San Marcos, TX, USA

    Moonis Ali

  2. Agent Systems Research Group, Department of Computer Science, Faculty of Sciences, VU University Amsterdam, De Boelelaan 1081, 1081, Amsterdam, HV, The Netherlands

    Tibor Bosse

  3. Interactive Intelligence Group, Department of Intelligent Systems, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands

    Koen V. Hindriks  & Catholijn M. Jonker  & 

  4. Computational Intelligence Group, Department of Computer Science, Faculty of Sciences, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Mark Hoogendoorn

  5. Agent Systems Research Group, Department of Computer Science, Faculty of Sciences, VU University Amsterdam, De Boelelaan 1081, 1081 HV, Amsterdam, The Netherlands

    Jan Treur

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© 2013 Springer-Verlag Berlin Heidelberg

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Chen, SM., Wang, CY. (2013). TAIEX Forecasting Based on Fuzzy Time Series and Technical Indices Analysis of the Stock Market. In: Ali, M., Bosse, T., Hindriks, K.V., Hoogendoorn, M., Jonker, C.M., Treur, J. (eds) Recent Trends in Applied Artificial Intelligence. IEA/AIE 2013. Lecture Notes in Computer Science(), vol 7906. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38577-3_48

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  • DOI: https://doi.org/10.1007/978-3-642-38577-3_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38576-6

  • Online ISBN: 978-3-642-38577-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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