search

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.
4.25k stars 1.67k forks source link

Want to Learn more! #276

Open tradingfinance opened 3 years ago

tradingfinance commented 3 years ago

Hello Boris,

I am extremely interested in your Stock prediction AI especially how you engineered your features and your GAN. It would be a pleasure to see your code and it would help me learn a lot!

My email is mrozenvvv@gmail.com

Thank you for your time.

CodingWookie commented 3 years ago

If you can share the info with me as well, that would be welcome. Djdeko@gmail.com.

Please and thank you!

JasonKinghorn commented 3 years ago

If you could share it with me also it would help me out with a school project.

Thanks

jason.m.kinghorn@gmail.com