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.
Thanks a lot for your amazing work!
I genuinely appreciate if you could share the code, it would be very helpful for the project I am currently working on. My email is shuhan.liu.99@gmail.com
Hi Boris,
Thanks a lot for your amazing work! I genuinely appreciate if you could share the code, it would be very helpful for the project I am currently working on. My email is shuhan.liu.99@gmail.com
Many thanks in advance, Shuhan