An artificial neural network (ANN) is trained to generate long/short trading positions for maximizing profit in the copper market with the help of technical analysis. The ANN model uses the information that a simple weighted moving average (WMA) strategy provides. The main objective of the ANN is to compensate the delay that the WMA strategy presents when the market is near a turning point or when it oscillates, avoiding losses when false signals are generated from the WMA strategy. The ANN model outperforms the WMA stategy by 63.5
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