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.
Hi, Boris,
Thank you very much for sharing us your fabulous work!
I really appreciate if you could share the code and data, it will help a lot for understanding and as well as learning.
My email is ducthang170301@gmail.com Best regards, Duc Thang