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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 For Research Purpose #325

Open Dotafterfootball opened 2 years ago

Dotafterfootball commented 2 years ago

Hi Boris,

I am Andy YANG from Msc DSML, NUS. Your project is really great and inspires me a lot. I want to use your idea with my feature data to construct a portfolio for my project. But I still have some code questions about the Generator and Discriminator part. So can you send me your code so I can learn more about your GAN structure? I'd appreciate it a lot.

My email: e0548912@u.nus.edu

Sincerely, Andy

ShobithChandran commented 2 years ago

Hi Boris,

I am Andy YANG from Msc DSML, NUS. Your project is really great and inspires me a lot. I want to use your idea with my feature data to construct a portfolio for my project. But I still have some code questions about the Generator and Discriminator part. So can you send me your code so I can learn more about your GAN structure? I'd appreciate it a lot.

My email: e0548912@u.nus.edu

Sincerely, Andy

do you have the complete code....would you pls sent me the code

my id :- cshobithknambiar@gmail.com