The platform will allow users to look up the latest definitions as they execute a trade, with the option to access code for certain definitions using functionality already developed in the Common Domain Model (CDM).
Financial industry experts say the time to start future-proofing was yesterday.
Concurnas founder says his language will help traders work more easily with concurrent computing and offer a Python-like syntax with Java-scale performance.
A look at the some of the week's key people moves, including Steve Wilcockson (pictured), who joins Azul Systems.
A deep-dive into how capital markets firms are using open-source tools to experiment with machine learning.
Seth Thomson, CIO of DRW, talks to Waters about his career, innovation and how the firm has expanded into new asset classes, including cryptocurrencies.
The website includes more data and charting, plus better navigation across all devices, officials say.
Latest framework offers interoperability for developers working on browsers.
New product helped an investment bank improve latency of its FX pricing system by 20 times.
Rearchitecting the platform will allow Datagenic to be more responsive about adding capabilities to meet client demand.
Azul's JVM aims to lower latency for Traiana's real-time platform for pre- and post-trade clearing.
Zing picked to fix Java garbage collection issues, latency outliers.
Orc Liquidator to leverage Azul's Zing.
The London-based multilateral trading facility (MTF) LMAX Exchange, specializing in foreign exchange (FX) matching orders, will use Azul's Zing Java virtual machine (JVM) solution to optimize its low-latency execution engine.