According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

Opinions expressed by Digital Journal contributors are their own. The investing space in 2024 is full of sophisticated tools to simplify the complexities of trading, presenting advanced investors with ...

Algorithmic trading, often called algo trading, has quietly transformed the way financial markets operate. What was once the domain of large global hedge funds and investment banks is now increasingly ...

Buyside firms have begun using artificial intelligence to support investment analysis and boost operational efficiency, but aren’t ready yet to hand over execution decisions even as some test AI in ...

Quantitative trading relies on a data-driven approach using mathematical models to analyze market behavior. Instead of relying on instinct or opinion, it uses measurable signals based on statistics ...

While it was once something only Wall Street players could afford, algorithmic trading is now accessible to smaller investors and startups. Algorithmic trading is when you use computer programs to ...

The ongoing generative AI boom has brought automation technology back into the spotlight across several sectors, and for the world of institutional investing, the rise of the machines has helped to ...

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 ...

Independent investors often use the terms "algorithmic trading" and "AI trading" interchangeably, but the two are actually completely different. One isn’t better than the other—in the same way that an ...

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 ...