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Lets assume I made two models for predicting future price of stocks, one trained in RNN and other in MLP (Multi Layer Perceptron) using 10 years (OHLC) of data from SPY with good accuracy. Which algorithm has more chances to give an accurate prediction? The choice of which model to use for training matters far, far less than the specific parameters ...



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