Trading, Quant, Recurrent Neural Network, Machine Learning, Stock Market.
dense network into a binary gradient movement. As an experiment, this accuracy is actually currently used in my cost function as: cost = (1-Accuracy) + tf.losses.mean_squared_error(labels, final_predictions) where the label is the normalized price, and final_predictions are the normalized actual