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

‘Multi-Genre Analytics’ Emerges For Pre-Trade Assessments

Subscribe to our newsletter

Data analytics provider Teradata has developed a new type of algorithmic analytics applicable to securities trading information, called “multi-genre analytics.”

Teradata developed the service in response to firms seeing predictive models as a cost they get stuck with when those models are needed for certain kinds of trades, says Sri Raghavan, global product marketing manager.

Major firms such as JPMorgan and Citi use significant structures for trades, so the data they generate is continuous and becomes enormous in terms of volume. By mixing and matching algorithmic models with analysis of the paths that trades take, multi-genre analytics can generate conditions that should be met before a trade proceeds, according to Raghavan.

“Some broker-dealers or traders put a lot of unstructured text into their trades. There is a lot of text parsing that needs to happen. That all has to happen even before doing path analysis,” he says.

Structuring and organisation of text information from trades has to be completed as a pre-requisite for multi-genre analytics. The practise then functions by choosing and applying appropriate analysis methods, as Raghavan explains.

“It’s usually a combination of analytic techniques that are applied in an ensemble manner,” he says. “Then a predictive model is generated which determines which band a trade can fall under, with some likelihood. Usually a distribution of likelihoods is given and the one with the highest likelihood is picked.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Next Generation Technology for Data Quality

What impact are next generation technologies having on data management today, and what is the outlook for further implementation and process improvements. We explore technologies such as automation, cloud computing, a managed services model, and applying the distributed model of blockchain to address data quality and management issues. The need for new technologies Potential of...

BLOG

Data Hurdles, Expertise Loss Hampering BCBS 239 Compliance

A combination of data management hurdles, talent shortages and poor succession planning are bedevilling banks as they struggle to respond to a long-standing risk data aggregation directive – even after repeated European Central Bank (ECB) criticism of their compliance shortfalls. The Basel Committee on Banking Supervision’s Principles for effective risk data aggregation and risk reporting...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London 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

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...