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 ...

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

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 ...

"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 ...

Two important architectures are Artificial Neural Networks and Long Short-Term Memory networks. LSTM networks are especially ...

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 ...

SAN FRANCISCO, Oct. 02, 2025 (GLOBE NEWSWIRE) -- Market volatility, unpredictable news cycles, and emotional trading decisions have left many searching for smarter and more consistent solutions.

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 ...

Bloomberg recently introduced Intraday BVAL (IBVAL) Front Office, a pricing service featuring a machine learning-based system capable of delivering pricing for fixed income securities every 15 seconds ...

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