About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Refinitiv Taps Influx DB for Cloud-Based Trading Analytics

Subscribe to our newsletter

Refinitiv has selected Influx DB to help build additional cloud-based analytics services. The initiative is part of a wider move to shift delivery of Refinitiv services, including real-time and other data, to a service-oriented cloud-based platform requiring minimal client-side equipment or maintenance. The InfluxDB analytics will add to the company’s Velocity Analytics and QA Direct solutions and offer alternative use cases.

Influx DB appears to be a good fit with Refinitiv’s cloud ambitions. The company applies machine learning techniques with real-time analytics to separate the signal from the noise in a broad range of business use cases, including trading in equities and other securities.

Refinitiv supports at least the two analytical capabilities noted above. For one, it offers Velocity Analytics powered by Northern Irish fintech First Derivatives’ long-established Kx time-series database. Thomson Reuters initially acquired the Velocity analytics solution as part of its 2009 acquisition of Vhayu Technologies. At the time, Thomson Reuters said Velocity would be an integral component of its quantitative and event driven trading system that provided tools for pre-trade analytics and trading strategies.

Refinitiv also inherited the former TRQA (Thomson Reuters Quantitative Analysis) platform. Now Refinitiv QA and moved into the Microsoft Azure cloud as QA Direct in November 2018, this solution provides quantitative analysts with relatively ‘raw’ historical, fundamental and tick data for use in development and support of analytical trading models. Thomson Reuters also partnered with big data analytics specialist Palantir to offer a ‘packaged’ set of analytical tools available via a so-called TRQA Studio product.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Sphinx Targets 24/7 Energy Markets with Blockchain-Enabled Derivatives Exchange

A new entrant to the energy derivatives landscape is preparing to test whether modern trading infrastructure can reshape how energy risk is managed. Sphinx, a startup exchange operator, is developing a platform designed for continuous trading and near-instant settlement in energy derivatives, initially targeting U.S. natural gas and electricity markets. The Sphinx Global Commodity Exchange...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Hosted/Managed Services

The on-site data management model is broken. Resources have been squeezed to breaking point. The industry needs a new operating model if it is truly to do more with less. Can hosted/managed services provide the answer? Can the marketplace really create and maintain a utility-based approach to reference data management? And if so, how can...