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.
I am Tien Ngo from HUST, VietNam. Your project is really great and inspires me a lot. I am interested in using your idea to construct a portfolio for my project with some other features. But I still have some confuse of code. So can you send me your code so I can learn more about your GAN structure? Thank you a lot.
Hi Boris,
I am Tien Ngo from HUST, VietNam. Your project is really great and inspires me a lot. I am interested in using your idea to construct a portfolio for my project with some other features. But I still have some confuse of code. So can you send me your code so I can learn more about your GAN structure? Thank you a lot.
My email: ngogiatien96@gmail.com
Sincerely, Tien