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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 #371

Open thangckt opened 8 months ago

thangckt commented 8 months ago

Hi Boris,

Thank you very much for sharing us your fabulous work! The readme has introduced specificly about the work you've done, but I still have some question about how it exactly works. So I really appreciate if you could share the code, it will help a lot for understanding and as well as learning. My email is dumuc111 at gmail.com.

Many thanks in advance

julien-weinstein commented 7 months ago

Could you send it to me as well? Data scientist at Michigan medicine.

julienw@umich.edu

--many thanks

YamankhetanAI commented 3 months ago

Hi everyone,

I've noticed there is significant interest in Boris Banushev's stock prediction system. I have developed a comprehensive version and would be happy to share more details if you're interested. Please feel free to reach out to me directly at yamankhetan@ymail.com for more information.

Best regards, Yaman Khetan

thangckt commented 3 months ago

If you really want to share, just make a public repo. Otherwise, keep it for yourself.