Spotware—the team behind the multi-asset trading platform cTrader—has unveiled cTrader 5.4, a major release chock-full of ...

But learning algorithmic trading effectively isn’t just about picking up a few Python tricks or reading a financial blog here and there. It requires a structured approach, discipline, and hands ...

Spotware, the developer of the cTrader multi-asset trading platform has launched an essential update with the introduction of ...

The History Of Algorithmic Trading From the mid-2000s to 2010, algorithmic trading expanded significantly due to advances in computing power and data analytics.

About the course Gain valuable insights into the diverse components, strategies and challenges of algorithmic and quantitative trading. This highly informative learning event will equip participants ...

The regulator has updated its Q&As on Mifid II and Mifir market structure topics to clarify guidance on automated trading functionalities and compliance when using third party systems.

The average European trader accesses 5.6 algorithmic suites, which is 1.5 fewer than in the U.S. Larger European buy-side traders average closer to nine broker tools vs. 3.5 for the smallest rivals.

The global algorithmic trading market has demonstrated remarkable growth, expanding from $16.02 billion in 2022 to $18.06 billion in 2023, with a Compound Annual Growth Rate (CAGR) of 12.7%.

According to the report, the algorithmic trading market was valued at $17.0 billion in 2023, and is estimated to reach $65.2 billion by 2032, growing at a CAGR of 15.9% from 2024 to 2032.

An automated trading system commonly used by institutional investors to buy and sell shares in large transactions at the best possible price while minimising the subsequent market volatility.