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 ...

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 ...

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 ...

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.

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 ...

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 ...

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 ...

Editor’s Note: Imagine this: You spot a stock idea you love – maybe from one of my premium services – and you wish you could amplify its profit potential. That’s exactly what TradeSmith’s newest ...

AI and machine learning technologies are helping to legitimize the NFT market by combating wash trading and plagiarism. The nonfungible token (NFT) market can return to its glory days as a ...

In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...