Overview: Forex books help traders understand how currencies react to economic data, policy decisions, and global events.The books strengthen the readers’ techn ...

In this and future posts, I thought it might be useful to provide some real-world applications of machine learning in a trading context. Because machine learning is such a broad topic, I am going to ...

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 ...

Chris Sparrow, head of research, and Melinda Bui, director of trading analytics, at LiquidMetrix explain how applying domain knowledge to its database of client orders can create features that help ...

Trading used to be about gut feelings and reading charts. Traders sat at desks watching screens, trying to spot patterns that meant prices would go up or down. That world exists still but machines can ...

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 ...

Briefly describe your firm, and your own professional background? Quantology Capital Management is a leading French asset manager specializing in quantitative finance. We manage three listed ...

MACHINE-LEARNING is beginning to shake up finance. A subset of artificial intelligence (AI) that excels at finding patterns and making predictions, it used to be the preserve of technology firms. The ...

MOUNTAIN VIEW, Calif., Jan. 22, 2020 /PRNewswire-PRWeb/ -- The New York Institute of Finance (NYIF) and Google Cloud announced a new Machine Learning for Trading Specialization available exclusively ...

Artificial intelligence has become a core component across trading desks, data platforms, and execution systems in the crypto ...