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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 #160

Open aithlab opened 4 years ago

aithlab commented 4 years ago

Dear Boris,

Thanks for your awesome project. I'm a graduate student and my research field is time-series data. I think your project could be a great insight to the time-series research field. So I'm trying to test your code, but there are several issues. Could you share your code and data?

Thank you! kteaw0110@korea.ac.kr

rciharry commented 4 years ago

agreed. Let's contribute and enhance this wonderful project. Hi, Boris: can you upload the existing codes and data here. Thanks a lot