Vittorio Nuti, Global Head of LD & FX Algo Trading at Deutsche Bank discusses some of the key issues regarding Market Impact.
A new study from Coalition Greenwich finds that the disruptions caused by the COVID-19 crisis may have long-term effects on the behavior of FX market participants.
Technology has improved to the point where algo trading is fast becoming the norm.
By Howard Grubb and Stephan von Massenbach, Directors at Modular FX Services
The Bank for International Settlements (BIS) has released one of the most detailed reports produced to date exploring the drivers and implications of the rising use of Execution Algorithms (EAs) in FX markets.
This Python for Finance tutorial introduces you to algorithmic trading, and much more. Among the hottest programming languages for finance, you’ll find R and Python, alongside languages such as C++, C#, and Java.
Algorithmic trading has proliferated across global FX markets over the past decade. Today, roughly 20% of the institutional foreign exchange trading volume is now executed through algos. FX algo usage is following that of the equities market – where algos currently account for more than half of all equity trading volume. So what’s behind all this algo growth?
Most interaction with wholesale FX market venues will involve the use of some form of decision “algorithm”, in addition to those services that are traditionally thought of as “automated execution algorithms”. It is essential to design these systems for safe, orderly operation and for regulatory compliance. The various regulations provide many aspects to consider in relation to the deployment, operation and review of algorithmic trading. We present below some high-level points for thinking about algorithmic systems in FX, the regulatory issues that apply, and the implications for systems design and algorithmic choices.
In recent years it has become increasingly important for banks to safeguard their client’s trading information using segregated execution desks.
A new survey of 50 leaders in FX trading – 57% of which work for firms managing over $100bn of assets – has been commissioned by The Finance Hive team.
