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

Intelligent Trading Summit Considers Potential of Predictive Analytics and Machine Learning

Subscribe to our newsletter

Predictive analytics, machine learning and sentiment analysis are making their way into the trading environment, but how useful are they and will they provide a new model for intelligent trading? These questions and more will be discussed at next week’s A-Team Group Intelligent Trading Summit in New York.

Adrian Sharp, senior industry consultant, capital markets, Teradata, will moderate a panel session that will consider the potential of these emerging capabilities during the summit. He will be joined on the panel by Li Yang, vice president, lead of development, Citi; Philippe Burke, managing partner, Apache Capital; Antonio Hallak, CEO, Sibyl Trading; Steven Cohen, CEO, Gold Coast Advisors; and Yadu Kalia, worldwide business architect, financial services, IBM.

Moving on from high frequency algo trading, which is driven by speed but ultimately limited by system power, the panel will consider how the trading model may change over time to become less about speed and more about predictive analytics that could, perhaps, identify what might happen in the next 10 milliseconds.

Machine learning and sentiment analysis, which introduces unstructured data, also reduce speed. If these technologies are deployed in trading, a use case that includes a different view of time to that used in high frequency trading is required.

Sharp suggests there is a place in trading for machine learning, sentiment analysis and predictive analytics, but says it is difficult to find use cases for the technologies at the moment. He explains: “If machine learning, sentiment analysis and predictive analytics are applied to trading, the trading process changes and the model is different to that used for high frequency trading. The question is whether we are going to continue to exploit inefficiencies in the market or take a broader view over a longer time by bringing in more analytics.”

To find out more about:

  • Alternative trading models
  • The power of predictive analytics
  • Use cases for machine learning
  • Future trading developments

Register to attend the A-Team Intelligent Trading Summit.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Agility as Alpha: How Trading Infrastructure Determines Who Wins in Volatile Markets

Date: 21 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Tariff shocks, geopolitical realignment and macroeconomic regime shifts are redrawing the investment landscape faster than most firms’ technology stacks can keep up. For hedge funds and asset managers, the ability to move quickly into new asset classes, geographies or...

BLOG

Celebrating Excellence at the TradingTech Insight Awards Europe 2026

The pace of change across trading technology shows no sign of slowing. As markets become more complex, data-intensive and performance-driven, firms are rethinking how infrastructure, analytics and execution workflows interconnect across the trading lifecycle. Against this backdrop, the TradingTech Insight Awards Europe 2026 brought the industry together to recognise the solution providers delivering measurable impact...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Trading Regulations Handbook 2021

In these unprecedented times, a carefully crafted trading infrastructure is crucial for capital markets participants. Yet, the impact of trading regulations on infrastructure can be difficult to manage. The Trading Regulations Handbook 2021 can help. It provides all the essentials you need to know about regulations impacting trading operations, data and technology. A-Team Group’s Trading...