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Abstract: In this paper we study data from financial markets using an information- theory tool that we call the normalised Mutual Information Rate show how to use it to infer the underlying network structure of interrelations in foreign currency exchange rates stock indices of 14 countries world- wide. From 1998 HSN is using internet trading software system ( client terminal, brokerage system. Though machine learning has been applied to the foreign exchange market for algorithmic trading for quiet some time now 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.
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