borisbanushev / stockpredictionai

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.
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Please help with GAN code. #217

Open netsalesbg-ltd opened 4 years ago

netsalesbg-ltd commented 4 years ago

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

dr-vasima-khan commented 3 years ago

Hi Boris, Nice job. This was extremely useful. I would be very thankful to get the full code. Many thanks in advance Regards.. Dr Vasima Khan