In the dynamic global economy, the accuracy in forecasting the foreign currency exchange (Forex) rates or at least predicting the trend correctly is of crucial importance for any future investment. The use of computational intelligence based techniques for forecasting has been proved extremely successful in recent times. In this paper, we developed and investigated three Artificial Neural Netwo...

Foreign Exchange, commonly called Forex, is a form of investment in the non-real sector great demand. Forex marketplace that specializes foreign exchange trading. Technology advancements have made it easy to monitor conditions real time and present them an easyto - understand graphical form. As result, predictions are closely related investment, starting from market sentiment economic technical...

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Support vector machine (SVM) has appeared as a powerful tool for forecasting forex market and demonstrated better performance over other methods, e.g., neural network or ARIMA based model. SVM-based forecasting model necessitates the selection of appropriate kernel function and values of free parameters: regularization parameter and ε– insensitive loss function. In this paper, we investigate th...

In this work we evaluate the notable results of four interrelated successive works ([2–5]) dealing with the classification properties and temporal evolution of foreign exchange rates series (ForEX). The main idea in these works can be conceptualized through the behavior of the exponential divergence curves of financial time series that make a clear distinction for both spatial (between countrie...

This study presents a neural network & web-based decision support system (DSS) for foreign exchange (forex) forecasting and trading decision, which is adaptable to the needs of financial organizations and individual investors. In this study, we integrate the back-propagation neural network (BPNN)based forex rolling forecasting system to accurately predict the change in direction of daily exchan...