For decades, trading was built around a straightforward assumption: better technology would make markets more rational.

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 ...

For decades, the financial industry believed technology would make markets more rational. The logic seemed undeniable.

With growing client expectations and a constantly developing market landscape, Wesley Bray explores the evolution of algorithmic trading, delving into its use cases, the importance of data and trader ...

The landscape of retail trading has shifted more in the last three years than in the previous thirty. AI-driven systems now account for the majority of volume across crypto markets and a growing share ...

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 ...

Alex Gerko’s bold bet on AI has made his trading firm, XTX Markets, one of the most profitable players in the secretive world of algorithmic trading. | World News ...

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 ...