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 appreciate your knowlegde and work very much.
Is it possible that i can have access to your code, os i can learn more about the used solution in your prediction.
Thank you in advance and best regards,
Arend de Jonge (ADutchTourist)
Hello Boris,
I appreciate your knowlegde and work very much. Is it possible that i can have access to your code, os i can learn more about the used solution in your prediction.
Thank you in advance and best regards, Arend de Jonge (ADutchTourist)