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.
Thank you for your notebook and I benefit by this . I am a student and very interesting in your work .
Will be grateful if you could share codes and data.
My E-mail: zhuweizhu@buaa.edu.cn
Hi, Boris!
Thank you for your notebook and I benefit by this . I am a student and very interesting in your work . Will be grateful if you could share codes and data. My E-mail: zhuweizhu@buaa.edu.cn
Sincerely, Poppy
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