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.
Hi Boris,
Super impressive work! And thank you so much for taking the time to put this together.
I'd love to dig more into the code to learn more. Would you mind sending me the code / datasets to aymather@gmail.com
Thanks again! Alec