A Survey on Computer Science Techniques in the FOREX Market: Models and Applications

نویسندگان

  • Diego Aguilar
  • Ildar Z. Batyrshin
  • Oleksiy B. Pogrebnyak
چکیده

In this paper a survey on computer science techniques such as natural language processing, machine learning, data mining, association rules, etc. which are applied on the FOREX market is presented. The main objective of investing in FOREX market is to maximize the profits given a certain period of time. This survey can be useful to researchers in this area, in order to compare and extend previous works.

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عنوان ژورنال:
  • Research in Computing Science

دوره 138  شماره 

صفحات  -

تاریخ انتشار 2017