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.
This looks utterly amazing! I'm still fairly new to all of this, but I think you really might be on to something here and I would love an opportunity to have a play with your code.
Hi Boris,
This looks utterly amazing! I'm still fairly new to all of this, but I think you really might be on to something here and I would love an opportunity to have a play with your code.
Thank you!
Chris