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

Sterling Buy-Side Platform Adds Clearpool Algo Management

Subscribe to our newsletter

Sterling Trading Tech is adding to its Sterling Trader Elite buy-side platform, which offers algorithmic order entry, bringing on Clearpool Group’s Algorithmic Management System, according to Jim Nevotti, president of Sterling Trading Tech. Users of Clearpool’s system will be able to access Sterling algorithmic trading and order management tools.

“Clearpool is growing and getting visibility,” says Nevotti. “Their tools on the back end allow greater control over how orders are executed.”

To work through Clearpool, Sterling Trading Tech built a graphical user interface to the company’s specifications, according to Nevotti. Sterling is working on more such interfaces for other management systems, he adds.

By adding Clearpool, Sterling is filling a need for a “combination of new technology at a cost-competitive price,” says Nevotti. “Many have gone into maintenance mode. We’re very actively developing the platform. Client service is what we pride ourselves on.”

Sterling Trading Tech’s most recent addition was its acquisition of CBOE’s Livevol X trading execution platform, since re-named Serling VolTrader, the company’s third product alongside its Sterling Pro for futures traders and Sterling Trader Elite, which offers all Pro features plus algorithmic order entry. Collectively, Sterling Trading Tech platforms process 5% of daily US equity volume and operate in over 30 countries.

Subscribe to our newsletter

Related content

WEBINAR

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

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

EVENT

TEST Event page 2

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

Entity Data Management Handbook – Sixth Edition

High-profile and punitive penalties handed out to large financial institutions for non-compliance with Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations have catapulted entity data management up the business agenda. So, too, have industry and government reports on the staggering sums of money laundered on a global basis. Less apparent, but equally important, are...