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 am in search of topic for my MS dissertation.
Your article very interesting and touched all the latest development in the area. Request you to provide the code and data for my reference.
Hi Boris
I am in search of topic for my MS dissertation. Your article very interesting and touched all the latest development in the area. Request you to provide the code and data for my reference.
Best Regards, Sijesh. (geeksijmsc@gmail.com)