Multiple Stock Prediction Using Deep Learning Network

Stock prediction is a difficult task because the data generated is enormous and is highly non-linear. Modeling such dynamical data require effective modeling technique which can analyze the hidden patterns and underlying dynamics. Neural network which is deep learning algorithms are capable of identifying and exploiting the interactions and patterns existing in a data through a self learning process.


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