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:
Thanks for your amazing research and sharing it to the public. Would it be possible to also get a copy of your final code used for this to be able to study it more detail?
Hi Boris: Thanks for your amazing research and sharing it to the public. Would it be possible to also get a copy of your final code used for this to be able to study it more detail?
This is my email: lizf1898@gmail.com
Best wishes, Lizf