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 ...

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 ...

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 ...

One of the top quant researchers in Two Sigma's history is starting his own hedge fund. Hao Zhang pioneered machine learning trading research at Two Sigma, generating billions in profits. Zhang ...

For decades, trading was built around one core belief: speed wins. The faster trader had the advantage. The quicker reaction ...

Compare 13 AI stock trading bots in 2026 for automated stock trading, AI signals, backtesting, quant strategies, and smarter ...

Algorithmic trading is no longer the exclusive domain of niche quantitative firms—it has become the backbone of modern financial markets. I am already seeing the significant impact AI-driven ...

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 ...