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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 #146

Open richardminh opened 4 years ago

richardminh commented 4 years ago

Hi, Boris

I am amazing for your results for stock market modelling and prediction using advanced techniques such as GAN, LSTM, CNN.

Might you send me full code to reproduce your result on my side?

Best regards.

richardminh commented 4 years ago

Hi, Boris Would you send me your source code? If you want milestone, I can create immediately. My mail is dinhfreedom@outlook.com, so please respond to me. Best Regards.

SaeedBohlooli commented 4 years ago

Can you please send me the code as well?