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.
Awesome work! I'd really like to learn more about the work here. Since the code snippets are not fully functional, can you please send me your full code and data? It would be very much appreciated.
My email: renorail@gmail.com
Thank you very much!
Dear Boris,
Awesome work! I'd really like to learn more about the work here. Since the code snippets are not fully functional, can you please send me your full code and data? It would be very much appreciated. My email: renorail@gmail.com Thank you very much!
Best regards, Reno