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.
Hello, sorry to ask, but I am really interested in you research. I have some trouble recreating the GAN part for the stock time series. I have tried to find some help elsewhere but I wasn't successful.
Can you please send me the GAN and RL code or at least nudge me in the right direction?
Thank you in advance!
My email is: programiramdotcom@gmail.com
Hello, sorry to ask, but I am really interested in you research. I have some trouble recreating the GAN part for the stock time series. I have tried to find some help elsewhere but I wasn't successful. Can you please send me the GAN and RL code or at least nudge me in the right direction? Thank you in advance! My email is: programiramdotcom@gmail.com