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 hope you are doing well!
I would live to thank you for sharing your valuable knowledge.
My name is Neaam Hariri and I'm computer science senior student! I'm currently working on my senior project that is related to stock forecasting. We will really appreciate it if you could share the code and dataset with us neaamhariri@protonmail.com
Hello Dear Dr. Banushev,
I hope you are doing well! I would live to thank you for sharing your valuable knowledge. My name is Neaam Hariri and I'm computer science senior student! I'm currently working on my senior project that is related to stock forecasting. We will really appreciate it if you could share the code and dataset with us neaamhariri@protonmail.com
Thank you Neaam Hariri