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 amazing for your results for stock market modeling and prediction using advanced techniques such as GAN, LSTM, CNN.
Might you send me the full code to reproduce your result on my side?
Email: Milad.fa7@hotmail.com
Best regards.
Hi, Boris
I am amazing for your results for stock market modeling and prediction using advanced techniques such as GAN, LSTM, CNN. Might you send me the full code to reproduce your result on my side? Email: Milad.fa7@hotmail.com Best regards.