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A New Trial for Improving the Traditional Technical Analysis in the Stock Markets

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3213))

Abstract

The use of soft computing techniques such as NNs, GAs, etc. in the financial market has recently become one of the most exciting and promising application areas. In this paper, we propose a new decision support system (DSS) for dealing stocks which improves the traditional technical analysis by using GAs. Further, we also briefly touch upon our recent trial of regarding the utilization of NNs for this objective. Several computer simulation results confirm the effectiveness of the proposed DSS.

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References

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Authors and Affiliations

  1. Information Science, Osaka Kyoiku University, 582-8582, Japan

    Norio Baba & Tomoko Kawachi

Authors
  1. Norio Baba
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  2. Tomoko Kawachi
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Baba, N., Kawachi, T. (2004). A New Trial for Improving the Traditional Technical Analysis in the Stock Markets. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3213. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30132-5_62

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  • DOI: https://doi.org/10.1007/978-3-540-30132-5_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23318-3

  • Online ISBN: 978-3-540-30132-5

  • eBook Packages: Springer Book Archive

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