In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Thank you for your thoroughly introduction. Would you please send me the full code to zxmysde@foxmail.com ? I want to analysis more details, i.e, the original definition of var VAE_data, dataset_total_df, etc, which will help me to understand the code more clearly. Thanks!
Thank you for your thoroughly introduction. Would you please send me the full code to zxmysde@foxmail.com ? I want to analysis more details, i.e, the original definition of var VAE_data, dataset_total_df, etc, which will help me to understand the code more clearly. Thanks!