CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator

نویسندگان

  • Alejandro Rodríguez González
  • Ángel García-Crespo
  • Ricardo Colomo Palacios
  • Fernando Guldrís-Iglesias
  • Juan Miguel Gómez
چکیده

Stock price predictions have been a field of study from several points of view including, among others, artificial intelligence and expert systems. For short-term predictions, the technical indicator relative strength indicator (RSI) has been published in many papers and used worldwide. CAST is presented in this paper. CAST can be seen as a set of solutions for calculating the RSI using artificial intelligence techniques. The improvement is based on the use of feedforward neural networks to calculate the RSI in a more accurate way, which we call the iRSI. This new tool will be used in two scenarios. In the first, it will predict a market – in our case, the Spanish IBEX 35 stock market. In the second, it will predict single-company values pertaining to the IBEX 35. The results are very encouraging and reveal that the CAST can predict the given market as a whole along with individual stock pertaining to

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عنوان ژورنال:
  • Expert Syst. Appl.

دوره 38  شماره 

صفحات  -

تاریخ انتشار 2011