Moving ahead on the path of AI must include confronting its imperfections with acute awareness. This involves the creation of guardrails at every stage of the AI lifecycle.

Many traders are moving to become algorithmic traders but struggle with the coding of their trading robots. Learn here the fundamentals of algorithmic trading.

As algorithmic trading gains increasing prominence, it becomes imperative for investors to examine the risks that this technology brings to the table. Let’s delve into the primary types of risks ...

Algorithmic bias is everywhere. Our work with dozens of organizations—healthcare providers, insurers, technology companies, and regulators—has taught us that biased algorithms are deployed throughout ...

A standardized version of coding for automated trading programs, called FIXatdl, is starting to gain traction, and that promises to bring traders new and revised algorithms faster.

This contributed piece from Pragma's Curtis Pfeiffer focuses on how there is increasing demand from corporates and other buy-side institutions for algorithmic trading tools. As they sign up to the ...

All early learning of counting and arithmetic is method-based, and hence algorithmic in nature, and all calculations involve computational processes encoded in algorithms.

Optiver, a global tech-focused trading firm that’s dedicated to enhancing the market, has “exciting” news for students with “serious” coding skills. “We’re inviting STEM students to ...