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.
Congratulations on your nice work. I would appreciate receiving the code and data used in your project once I am learning python and how to apply AI to market forecast. Please use my email cris.b777@gmail.com.
Hi Boris,
Congratulations on your nice work. I would appreciate receiving the code and data used in your project once I am learning python and how to apply AI to market forecast. Please use my email cris.b777@gmail.com.
Thank you.
Kind Regards, Cris