Predicting the Relationship between Stocks and Emotion Factors with GAN

We try to predict the stock market using GAN model, which includes discriminator and generator. We use MLP as the predictor of the GAN which uses the Backpropagation. Besides, we use the Simon function to monitor the study of the model. Using the model, we have gotten the graph of three different companies in our paragraph. In addition, we use our model to predict the figure of we know and compare the error with the figure it is. Finally, we use the formula to calculate the RMSE.