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borisbanushev / stockpredictionai

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.
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Code access #360

Open Kusarok opened 1 year ago

Kusarok commented 1 year ago

Hello sir, your project is great, may we have access to the code?

gran4 commented 1 year ago

Bro, it does not seem like this guy even looks at this project anymore. It makes sense for him to want to keep the code.