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Autonomous Forex Trading Agents
In this paper we describe an infrastructure for implementing hybrid intelligent agents with the ability to trade in the Forex Market without requiring human supervision. This infrastructure is composed of three modules. The “Intuition Module”, implemented using an Ensemble Model, is responsible for performing pattern recognition and predicting the direction of the exchange rate. The “A Posterio...
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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...
متن کاملA Neural Network and Web-Based Decision Support System for Forex Forecasting and Trading
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...
متن کاملEvolving Chart Pattern Sensitive Neural Network Based Forex Trading Agents
Though machine learning has been applied to the foreign exchange market for algorithmic trading for quiet some time now, and neural networks(NN) have been shown to yield positive results, in most modern approaches the NN systems are optimized through traditional methods like the backpropagation algorithm for example, and their input signals are price lists, and lists composed of other technical...
متن کاملThe Effect of Exchange Rate Volatility on Iran’s Bilateral Trade in Six Major Countries
The main aim of this study is to investigate the effect of exchange rate uncertainty on trade balance between Iran and countries which are major trading partner of Iran, using the EGARCH method and the ARDL model (to examine the coherency and short- and long-term dynamics of the model). The data used in this paper includes quarterly data in the period of 1995 to 2017 for the real effective exc...
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