Deep learning and the stock market

The financial industry has been one of the more enthusiastic exponents of automation in recent years, especially on the trading floor, where algorithmic trading is now commonplace.  Indeed, Commerzbank have been outspoken about their desire to automate 80% of its processes in the coming years.

A sign of the progress being made comes via a recent paper published by the School of Business and Economics at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU).  It shows the potential for algorithms to make extremely profitable investment decisions.

When the algorithm was applied to members of the S&P 500 between 1992 and 2015, the picks generated double digit annual returns, with a particular strength during times of economic turmoil.

AI and capital market data

Read the full story by


Why we deliberately avoid certain types of information Pan European Data Project To Support Medical Research

From our Network

5 Benefits Of Corporate Knowledge Sharing

Machine Learning Process Αnd Scenarios

Leverage Microlearning To Enhance Learning Retention And Engagement

Encouraging Innovation Through Digital Transformation: Reaching Benefits Of Technology In Learning

7 Reasons To Switch From On-Site To Online Training