nomi co cs f E & o M l a a n n a r g u e o m J International Journal of Economics & e l n a t n Gallo C, Int J Econ and Manage Sci 2014, 3:1 S o i c t i a ISSN: 2162-6359 e n n r c e t e 10.4172/2162-6359.1000169 s n I Management Sciences DOI: Review article Open-access The Forex Market in Practice: A Computing Approach for Automated Trading Strategies Crescenzio Gallo* Department of Clinical and Experimental Medicine University of Foggia Viale Luigi Pinto 1, 71122 Foggia, Italy *Corresponding author: Crescenzio Gallo, Department of Clinical and Experimental Medicine University of Foggia Viale Luigi Pinto 1, 71122 Foggia, Italy, Tel: +39 0881-588067; E-mail:
[email protected] Received date: June 11, 2014; Accepted date: July 10, 2014; Published date: July 20, 2014 Copyright: © 2014 Gallo C. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited Abstract Prediction of various market indicators is an important issue in finance. This can be accomplished through computer models and related applications. It turned out that artificial models have both great advantages and some limitations for learning the data patterns and predicting future values of the financial phenomenon under analysis. In this paper we analyze the particular financial market called Forex and the way computing models are used to automate trading strategies by making affordable predictions on the evolution of exchange rates between currencies.