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

Portware AI System Growth Leading To ‘Bionic’ Trading

Subscribe to our newsletter

Building on the expansion of its Alpha Pro artificial intelligence agent for trading, begun in November, trade execution management system (EMS) provider Portware is moving toward what its CEO, Alfred Eskandar, calls a “bionic trading desk.”

From March 2009 to March 2017, Portware’s Alpha Pro technology has delivered 133 basis points in return on micro cap stocks, 63 basis points on small cap stocks and 17 basis points on large cap stocks that it has handled.

Over that eight-year period, Alpha Pro, as an AI-enabled algorithmic trading management solution, has handled $168 billion in notional value traded. The volume and returns have been achieved through a combination of AI and human action, Eskandar explains.

“Developments will ultimately lead us to a trading blotter partly managed by computer and partly by the human trader,” he says. “What’s most valuable is when machines inform traders ad traders use their experience to make an even more optimal decision. All-machine is not ready and all-human is not fast enough. But the combination of the two dissecting the blotter into the parts that are best fit to the various combinations of human and machine handing, is proven to give firms tremendous competitive advantage.”

The improvements to Alpha Pro and Portware’s Enterprise EMS which contains Alpha Pro help firms cope with accelerated market activity. “Traders need to consume, digest, analyse and spit out decisions at a much faster rate,” says Eskandar. “That can’t be done without machine-enabled workflows. … We want this to be very accessible to asset managers and all their brokers.”

Along with handling greater amounts of trading and trade-related activity, Portware’s improvements have also made it possible to automate trading of more assets under management, according to Eskandar. “You can double, triple or quadruple the size of assets and not need more technology or have to hire more people,” he says. “Users benefit from a scalable solution that gives more bandwidth to the people they have on the desk already.”

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

Introducing Market & Alt Data Insight: Advancing the Industrialisation of Data in Financial Markets

Financial markets are entering a new phase in the evolution of data. Data has always underpinned trading and investment workflows. What has changed is the scale, diversity and strategic management of that data across the enterprise. Traditional market data, alternative signals, derived datasets and AI-generated features now sit on the same operational continuum. The strategic...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Regulatory Reporting Handbook – First Edition

Welcome to the inaugural edition of A-Team Group’s Regulatory Reporting Handbook, a comprehensive guide to reporting obligations that must be fulfilled by financial institutions on a global basis. The handbook reviews not only the current state of play within the regulatory reporting space, but also looks ahead to identify how institutions should be preparing for...