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

Recorded Webinar: High-Performance Networks & Low-Latency Connectivity for Trading

With financial markets becoming more complex and interconnected in today’s electronic trading environment, trading firms, exchanges, and infrastructure providers need to continually push the boundaries of network performance to stay ahead. Ultra-low latency, seamless connectivity, and resilient infrastructure are no longer just advantages – to stay competitive, they’re necessities. This webinar, part of the A-Team...

BLOG

Bloomberg Launches AI-Powered Research Tool for Terminal Users

Bloomberg has announced the forthcoming release of its Document Search & Analysis solution, an AI-driven research tool designed to streamline how financial professionals interrogate and interpret large volumes of market data and reports. The product is expected to be rolled out to Bloomberg Terminal users by the end of the year. The new tool enables...

EVENT

RegTech Summit New York

Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

GDPR Handbook

The May 25, 2018 compliance deadline of General Data Protection Regulation (GDPR) is approaching fast, requiring financial institutions to understand what personal data they hold, why they process it, and whether it is shared with other organisations. In line with individuals’ rights under the regulation, they must also provide access to individuals’ personal data and...