search

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.
4.08k stars 1.65k forks source link

Request for GAN code #221

Open jguerrerope opened 4 years ago

jguerrerope commented 4 years ago

It was amazing work! your work inspires me a lot. I would like to see the code to learn more about the GAN part.

Thanks jguerreropedev@gmail.com

aminbakhshipour commented 4 years ago

Hi Boris, Nice job! All the things you utilized are so attractive to me. I would be very thankful to get the full code. Many thanks in advance! Best regards, Amin Amin.bakhshipour@gmail.com

maagalamharsha commented 4 years ago

Hi Boris, I really interest in your approach. I am from finance background learning Deep learning. Can you please share me the source of the data you have used I want to try out few new things on top of your work. Please share the data and code to maagalamharsha@gmail.com

Thanks alot Maagalam Harsha Vardhan

ckm4514 commented 4 years ago

Hi Boris, Your work about GAN was fascinating! I am really interested in learning such Deep Learning techniques. Can you please share me the code that you used to analyze the stock data? I would sincerely appreciate your help.

Thanks! Best regards, Kyoungmin Cho ckm4514@gmail.com