Trading used to be about gut feelings and reading charts. Traders sat at desks watching screens, trying to spot patterns that ...

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

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 ...

"It's an arms race to be able to consume the right kind of data in the right kind of way to be able to make the right ...

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 ...

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 ...

UBS has developed a state-of-the-art machine learning (ML) technique to search for patterns in data that skew the outcome of passive order placement on equities venues towards higher fill rates, lower ...

At the Bloomberg Investment Management Summit 2025 in Singapore, the breakout session ‘Intelligent Automation for Front ...

Compliance professionals face the daunting task of making sense of mounds of data, alerts, and shifting regulations. The power of AI and machine learning (ML), as evidenced by the text-generating ...

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 ...