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Spug is a lightweight agent-free automatic operation and maintenance platform designed for small and medium-sized enterprises. It integrates host management, host batch execution, host online terminal, file management, application release and deployment, pipelines, online task planning, configuration center, monitoring, alarm and so on.

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.