Neural network modeling for stock movement prediction, a state of the art
نویسنده
چکیده
This paper proposes an overview of the modeling process of artificial neural networks (ANN) in stock movement prediction. A step-by-step procedure based on the most commonly used methods is presented, showing the difficulties encountered when modeling such neural networks. Other techniques are also mentioned as neural networks are not the only tools used to predict stock movements.
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