In the dynamic realm of modern trading, technological advancements are revolutionizing the buying and selling of assets. This article aims to provide readers, particularly those in the tech industry, ...

Global financial markets are entering a new era of digital transformation, one in which data-driven analysis and algorithmic trading are no longer optional tools but core elements of modern investing.

Futures Trading Algorithms involve using automated computer programs to conduct trades in the futures markets. These algorithms evaluate market data and autonomously make trading decisions, aiming to ...

Algorithm trading firms, also known as quantitative trading firms, are financial organizations that use sophisticated algorithms and mathematical models to make investment decisions in financial ...

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 ...

We spoke with Viktoria Dolzhenko, an expert with over a decade of experience developing complex systems, about her new book, Algorithmic Trading Systems and Strategies: A New Approach: Design, Build, ...

Even 20 years after their mainstream adoption, algorithmic trading continues to challenge regulators and compliance teams. It's not just that it is inherently complex, but the pace of change and ...

Algorithmic trading is often presented as a structured process: build a strategy, test it on historical data, and automate execution. In reality, each step involves deeper layers of complexity that ...

On 26 February 2026, the European Securities and Markets Authority (ESMA) published a new Supervisory Briefing on Algorithmic Trading in the EU. The briefing draws heavily on insights from ESMA’s 2022 ...

On 22 August 2025, the Financial Conduct Authority (“FCA”) published its high level observations following a multi-firm review of algorithmic trading controls. During the review, the FCA assessed a ...