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 very much for sharing us your fabulous work!
The readme has introduced specificly about the work you've done, but I still have some question about how it exactly works. So I really appreciate if you could share the code, it will help a lot for understanding and as well as learning. My email is xiaoxi_lu@foxmai.com.
Hi Boris,
Thank you very much for sharing us your fabulous work! The readme has introduced specificly about the work you've done, but I still have some question about how it exactly works. So I really appreciate if you could share the code, it will help a lot for understanding and as well as learning. My email is xiaoxi_lu@foxmai.com.
Many thanks in advance