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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 dataset request #257

Closed seyfullah closed 2 years ago

seyfullah commented 3 years ago

Hello,

Your work is very promising. I want to study on it. Could you share your code and dataset. My e-mail adress is stikic@gmail.com

Regards

w1767 commented 2 years ago

Hi Boris, Thank you for sharing this great work.

Could you please share the source code. I am currently doing a PhD in Machine Learning.

My e-mail address is w1767944@my.westminster.ac.uk

Best regards, George

seyfullah commented 2 years ago

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iamvarun-30 commented 1 year ago

Hi Boris, I am a scholar in machine learning . I need to understand the code and the dataset . Can you please help me with that .My email id is varunchoubey9519@gmail.com