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.
Thank you for this amazing notebook. I would kindly request you to send the full code to pushpanjali.banik@gmail.com and if you could send the .csv file as well along. I am practising trading predictions and your work seems to cover in depth.
I would be obliged if you could send the requested code for this project.
Thank you for this amazing notebook. I would kindly request you to send the full code to pushpanjali.banik@gmail.com and if you could send the .csv file as well along. I am practising trading predictions and your work seems to cover in depth.
I would be obliged if you could send the requested code for this project.
Best Regards Anjali Banik