Algorithmic trading revenues hit $10.4B in 2024, growing to $16B by 2030. Discover how AI and infrastructure are transforming ...

Machine learning futures algo trading surges at JP Morgan Peter Ward, global head of futures and options electronic execution at JP Morgan, tells Hayley McDowell that buy-side adoption of its ...

UBS is launching UBS ATS Adaptive Cross, a new approach to matching orders that prioritizes like-minded trading flows within ...

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. This Spotlight Review highlights important emerging issues in this area ...

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 ...

ARK36, the Cyprus-based leading alternative investment digital asset fund, has announced today the launch of a proprietary machine learning-based trading software system, “to improve the way its ...

Algorithmic trading evolved for decades, but Web3 turns it into something entirely new. See how in this op-ed.

MarketAxess has integrated artificial intelligence and machine learning technology to its algorithmic pricing engine for corporate bonds. The fixed income trading platform provider teamed up with AI ...

Machine learning is a type of artificial intelligence (AI) that uses computer algorithms to analyze and learn from data Machine learning algorithms can draw insights from data faster and more ...

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 ...