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 hope you are doing well, could you send me a data and code to my email address, n.aghaebrahim@gmail.com.
Also, please let me know how you got your data?
Hi Boris,
I hope you are doing well, could you send me a data and code to my email address, n.aghaebrahim@gmail.com. Also, please let me know how you got your data?
Best regards,