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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 and data request #266

Closed Fab92 closed 3 years ago

noconstruct commented 3 years ago

Stop opening and closing the issue. Boris isn’t going to send you the full code, he would loose his advantage. You need to learn on your own, you won’t regret it. I am currently seeing a 1% profit on good days with my gekko intergration of his gan.I won’t be sharing my code either as there are a lot of ups and downs with my implementation. Also this is more than enough with some research to get it partially working.

Fab92 commented 3 years ago

Thank you for your reply, I didn’t want to chase him. I definitely won’t regret learning it on my own. Thanks again!