This post considers a simpler model based on some widely used technical indicators in combination with Long-Short-Term Memory networks (LSTM) applied to an example of somewhat more volatile financial time series such as cryptocurrency. For a brief background on LSTM networks and their application to financial time series see another post and references within.

This post uses deep learning in combination with technical indicators and PCA to model, forecast financial time series.

This first post points out some recent academic research advances in artificial intelligence (AI) in the financial field.

This project aims at the application of some machine learning algorithms to large financial data analysis ,modeling and forecasting within h2o.ai framework.

Part one: Some widely used machine learning algorithms with application to stock market prediction.