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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This seems like a bullshit project given the code is left out and people are requesting/exposing their emails in public issues list #299

Closed schlunsen closed 3 years ago

schlunsen commented 3 years ago

Come on guys!

noconstruct commented 3 years ago

This is a white paper, it wasn't meant to give lazy people a code base. It was meant to inspire people to create. People requesting code and demanding things is why the author of the article does not respond. If any of these people had taken the time to write their own code they would already have their own working Gan. I do, and I won't be sharing my work with lazy ignorant people.