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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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request_code + dataset #291

Open arrontsai opened 3 years ago

arrontsai commented 3 years ago

Hello, I have read your post on towardsdatascience.com, and it is amazing! Could you share your code and dataset to me for further studying,please? thank you My e-mail adress is xx01478xx@gmail.com

Regards Larry

hank07 commented 3 years ago

Hello, I also liked your post on towardsdatascience. Could please share your complete code with datset at karan.fzr@gmail.com?

Thanks a lot. Karan

aymather commented 2 years ago

Amazing article! Thank you for laying this all out!

I would also love the code and dataset if you could send it to aymather@gmail.com

Much appreciated <3 Alec