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.
Hi boris, your project has intrigued me a lot. And i want to see all the features that you have used, specially the code used during fundamental analysis. would love it if you share the source code with me, I was working on a similar model and your work has helped me a lot.
email:-Saatvik1213@gmail.com
Hi boris, your project has intrigued me a lot. And i want to see all the features that you have used, specially the code used during fundamental analysis. would love it if you share the source code with me, I was working on a similar model and your work has helped me a lot. email:-Saatvik1213@gmail.com