NYU professor Gordon Ritter constructed an artificial system which he knew would admit a profitable strategy, to see if a machine would find it. Reuters A new academic paper, Machine Learning for ...

Humans and models are usually not good at handling too much information. When the number of factors involved in a decision-making process increases, the modelling of the decision process and its ...

Digital trading has integrated machine learning to shake things up, and shake things up it has, in the manner that traders do market analysis, trend prediction, and strategy execution. Trading is ...

The world of trading is an immensely complex place, with investors deploying a range of different strategies to try and maximise their profits. In this digital age, technology has only furthered the ...

In this chapter, we give an overview of the uses of machine learning for high-frequency trading (HFT) and market microstructure data and problems. Machine learning is a vibrant subfield of computer ...

Forbes contributors publish independent expert analyses and insights. Faculty member at Columbia University. Founder and CEO of OORT. Graph on a trader's computer screen, representing the concept of ...

In terms of the directional movement of bitcoin the currency, 2015 saw near 40% gains making it one of the best performing financial instruments out there. But often traders are seeking greater ...

A new academic paper, Machine Learning for Trading, is the first conclusive study that shows success from having a machine learning-based trading strategy. The author, Gordon Ritter, Adjunct Professor ...

A new academic paper, Machine Learning for Trading, is the first conclusive study that shows success in having a machine learning-based trading strategy. The author, Gordon Ritter, Adjunct Professor ...