A-Team Insight Blogs

The Race is on – Corvil’s Next-Generation Trade Execution Analytics Offer Competitive Advantage

Share article

Trade execution analytics are taking a leap forward with the application of machine learning and artificial intelligence (AI) to machine-time data. Ultimate results could include the ability to understand, evidentially, the relationship between trading systems performance and trade outcomes.

Corvil has been working for about two years to develop machine learning algos that can identify which factors of a trading system are influencing outcomes, perhaps latency, the type of order, or symbol the system is trying to trade on, and predict favourable trade outcomes.

The company calls its technology Systems Alpha and will share information on its development and potential at A-Team Group’s forthcoming TradingTech Summit in New York City during a keynote presentation by Corvil CEO Donal Byrne.

Byrne notes growing interest in the technology, which is in pre-production and due to come to market this year. He says: “In the past, understanding the relationship between trading systems performance and trade outcomes has been intuitive. Using machine learning, we can understand the relationship practically and see from evidence that better performing systems, technology and intelligence can deliver trade execution outcomes above market average.”

Large exchanges could offer transparency and insight that would make them preferred venues. Similarly, by providing better execution to buy-side firms, sell-side brokers using the technology could be selected increasingly by buy-side firms looking for execution transparency.

Byrne says early results from the Systems Alpha trade execution analytics are promising and suggests the application of machine learning and AI to machine-time data could spark another arms race in the search for competitive advantage.

If you want to be in the competition, register for A-Team’s TradingTech Summit to find out more about Corvil’s next generation trade execution analytics and how they could enhance your trading performance.

Leave a comment

Your email address will not be published. Required fields are marked *

*

Related content

WEBINAR

Recorded Webinar: How to exploit the opportunities of alternative data

Alternative data is emerging as a key component of buy-side firms’ efforts to seek out new investment opportunities, for many filling the gap left by the unbundling of sell-side research from execution. By tapping into unique, non-traditional data sets, hedge funds and quantitative fund managers hope to exploit unfound opportunities before they hit the mainstream....

BLOG

Iress Targets Europe with QuantHouse Purchase

Australian EMS/OMS platform provider Iress is expanding its European footprint with the acquisition of market data and connectivity provider QuantHouse. The move continues the ongoing consolidation in the trading systems space, and comes less than two years after QuantHouse bought itself out of an earlier, unhappy acquisition by S&P Global Markets. Iress, publicly listed on...

GUIDE

Regulation and Risk as Data Management Drivers

A-Team Group recently held a webinar on the topic of Regulation and Risk as Data Management Drivers. Fill in the form to get immediate access to the accompanying Special Report. Alongside death and taxes, perhaps the only other certainty in life is that regulation of the financial markets will increase in future years. How do...