Incorporating artificial neural networks into a rule-based financial trading system

This paper discusses the incorporation of artificial neural networks (ANNs) into a rule-based financial trading system to enhance and improve trading profitability. It discusses the advantages of artificial neural nets over traditional rule-based-only systems. It also introduces an ideal ANN rule-based financial trading system that can incorporate technical, fundamental and chart analyses into the financial trading decision-making process, which may improve the probability of trading success. Each of the analysis methods is discussed in the context of its incorporation into an ANN-based system.<
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