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，
Thank you for your sharing.This is similar to what I am currently working on, and I am eager to get your source code support.My email is: xuexueh120@163.com
I would greatly appreciate it.
Hi Boris， Thank you for your sharing.This is similar to what I am currently working on, and I am eager to get your source code support.My email is: xuexueh120@163.com I would greatly appreciate it.