Predicting Stock Market Prices Using a Recurrent Neural Network | Michael Hotaling
There is a common belief that market movements are predictable using a number of technical indicators and chart patterns. If such signals do exhibit these fortune-telling properties, they should be detectable by a deep learning neural network and exploitable. In this post, we will examine these possibilities by designing a recurrent neural network in keras-tensorflow and see just how much money we can make.
Predicting Stock Market Prices Using a Recurrent Neural Network | Michael Hotaling
There is a common belief that market movements are predictable using a number of technical indicators and chart patterns. If such signals do exhibit these fortune-telling properties, they should be detectable by a deep learning neural network and exploitable. In this post, we will examine these possibilities by designing a recurrent neural network in keras-tensorflow and see just how much money we can make.
https://michaelhotaling.github.io/blog/stock_market_rnn/