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Market Stock Decisions Based on Morphological Filtering

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Distributed Computing and Artificial Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 79))

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Abstract

In this paper we use a nonlinear processing technique based on mathematical morphology to develop a simple day trading system that automatically decides the timing to commute the marked strategy in terms of sort/long positions. In this short paper we show preliminary results.

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References

  1. Timmons, H.: A London Hedge Fund That Opts for Engineers, Not M.B.A.’s (August 18, 2006)

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  2. Aldridge, I.: High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems. Wiley & Sons, Chichester (2009)

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  3. Serra, J.: Image Analysis and Mathematical Morphology. Academic, New York (1982)

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Author information

Authors and Affiliations

  1. Grup de Tecnologies Digitals, University of Vic, C/ de la Laura, 13, 08500, Vic, España

    Pere Marti-Puig & R. Reig-Bolaño

  2. BISITE, Plaza de la Merced s/n, 37008, Salamanca, España

    J. Bajo & S. Rodriguez

Authors
  1. Pere Marti-Puig
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  2. R. Reig-Bolaño
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  3. J. Bajo
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  4. S. Rodriguez
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Sao Paulo at Sao Carlos, Sao Carlos, SP, Brazil

    Andre Ponce de Leon F. de Carvalho

  2. Department of Computing, Science and Control, Faculty of Science, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Sara Rodríguez-González

  3. Department of Computing, Science and Control, Faculty of Science, University of Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Juan F. De Paz Santana  & Juan M. Corchado Rodríguez  & 

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© 2010 Springer-Verlag Berlin Heidelberg

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Marti-Puig, P., Reig-Bolaño, R., Bajo, J., Rodriguez, S. (2010). Market Stock Decisions Based on Morphological Filtering. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_56

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  • DOI: https://doi.org/10.1007/978-3-642-14883-5_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14882-8

  • Online ISBN: 978-3-642-14883-5

  • eBook Packages: EngineeringEngineering (R0)

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