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, I developed a trading bot to perform automated trades for me. However, I am not satisfied with the strategies I have developed so far. I would like to look into deep reinforcement learning as an option. Could you please share your code here: tonmoyroy001@gmail.com. Thanks a lot in advance!
Hi, I developed a trading bot to perform automated trades for me. However, I am not satisfied with the strategies I have developed so far. I would like to look into deep reinforcement learning as an option. Could you please share your code here: tonmoyroy001@gmail.com. Thanks a lot in advance!