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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.

An example universal JS application written with the 3REE stack, React + Redux + RethinkDB + Express. A stack for building apps, front and back end, with just Javascript.

  • redux
  • rethinkdb
  • javascript
  • universal