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

Prime Trading Implements Iress API Data and Trading Solution, Reducing Data Latency and Costs

Subscribe to our newsletter

Prime Trading, the privately held proprietary trading firm, has reduced its API data latency and costs as a result of implementing Iress’ API Data and Trading Solution, according to a recent announcement.

As part of Prime Trading’s modernisation process, and to support its commitment to constantly seek out improvements for its end clients, the firm approached Iress for a solution.

The Iress implementation addresses latency issues and network constraints that Prime Trading experienced as it consumed tick by tick market data during peak moments of market volatility. The firm says it now has improved data accuracy, reliability and executability, and has achieved a significant reduction in network burden.

The initial deployment is for Iress’ BBO (best-bid-offer) from its QuantFeed product and covers US equities, with provision for additional asset classes and geographies to be seamlessly integrated into the same feed.

“We’re delighted to have been able to help Prime Trading enhance their offering to customers even further and we look forward to a long relationship, where we will remain in close contact with them, and evolve our offering alongside them,” said Salloum AbouSaleh, Iress’ API data and trading solutions managing director for the Americas. “Because we constantly invest in our infrastructure and partnerships across the globe, Iress is well-positioned to offer rapid integration with in-house, or third party trading management platforms. This means that as our clients’ requirements change, Iress’ agile solutions and connections allow for seamless transition to better data quality, with the lowest latency possible, allowing our clients to drive ROI and maximise trading outcomes.”

Corbin Kidd, Prime Trading’s EVP and CTO, added, “At Prime Trading we are committed to investing in our services and systems to make sure we can offer the very best to our traders.  This means we have to stay nimble and move with the pace of the markets. With Iress we have found a collaborative technology partner who can operate with professionalism and deliver benefits that a large business can offer, with the adaptability, attentiveness and agility. Iress’ impact on our data latency and our cost efficiencies have been profound. Feedback from our traders also indicates that they find Iress’s data to be more accurate, more consistent and more reliable, helping them to improve their own trading outcomes. Iress is a one-stop-shop for us, because it has the bespoke solutions we need now, and the ability to scale with us as we evolve. We look forward to a long and successful future together.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

TNS Unifies Financial Markets Business Under Waypoint Brand

Two months after completing its acquisition of BT’s Radianz business, Transaction Network Services (TNS) has launched Waypoint Trading Solutions, a unified brand encompassing connectivity, low-latency trading infrastructure and managed market data operations. Waypoint Trading Solutions officially launched on 8th April, bringing together TNS’s existing financial markets capabilities with the Radianz extranet business it acquired from...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...