The Central Bank of Iran banned online currency trading through Forex brokers in November 2016. However, some Iranian speculators still trade in the online Forex market. Is this prohibition on Forex trading reasonable? According to reports, the majority of Forex day traders fail and leave the market within six months to a year. Some scholars attribute this failure to the changeable characterist...

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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...

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 previo...

Foreign exchange (Forex) is the global scale trading of currency and the most liquid financial market. Therefore, predicting Forex has been challenged for many years. On the other hand, Artificial Neural Network (ANN) was widely used by researchers as a prediction technique since it can provide the best prediction result. This paper surveys recent literature in the domain of ANN which used to f...

This paper describes the use of Belief Networks for mixedinitiative dialog modeling within the context of the CU FOREX system [1]. CU FOREX is a bilingual hotline for real-time foreign exchange inquiries. Presently, it supports two separate interaction modalities: a direct dialog (DD) interaction, which is systeminitiated for novice users; as well as natural language (NLS) shortcuts, which is u...

The need for intelligent monitoring systems has become a necessity to keep track of the complex forex market. The forex market is difficult to understand by an average individual. However, once the market is broken down into simple terms, the average individual can begin to understand the foreign exchange market and use it as a financial instrument for future investing. This paper is an attempt...

The study contrasts mainstream economics – operating on time scales of hours and days – with behavioural finance, econophysics and high-frequency trading, more applicable to short-term time scales of the order of minutes and seconds. We show how the central theoretical assumption underpinning prevailing economic theories is violated on small time scales. We also demonstrate how an alternative b...