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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 Request #233

Open zahrabashir98 opened 3 years ago

zahrabashir98 commented 3 years ago

Hi Boris, thanks for this great repo! I was wondering if you could share your code with me, so I can better understand some sections that are ambiguous for me.

This is my email: zahrabashir77@gmail.com

Best wishes, Zahra

lizf1898 commented 3 years ago

Hi Boris: Thanks for your amazing research and sharing it to the public. Would it be possible to also get a copy of your final code used for this to be able to study it more detail?

This is my email: lizf1898@gmail.com

Best wishes, Lizf