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.
This research is incredibly detailed and interesting . Thank you so much for making it available to us. I am a recent graduate engineer and am looking to learn how to use GANs for algorithmic trading. It would be great if you could share your code with me.
Thank you very much for your time in advance.
This research is incredibly detailed and interesting . Thank you so much for making it available to us. I am a recent graduate engineer and am looking to learn how to use GANs for algorithmic trading. It would be great if you could share your code with me. Thank you very much for your time in advance.
Email: tuege.neumann@hotmail.de
Best regard Tüge Neumann