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: Best practice approaches to integrating legacy data with the cloud

Acceleration of cloud adoption, increasing demand for digital transformation and real-time data management have led financial institutions to rethink their data infrastructure to enable more agile operating models that can respond faster to change and make data a competitive advantage. For many, integrating data from legacy systems and data across the business landscape with a...

BLOG

Transforming Compliance: Key Takeaways from the RegTech Summit Panel on GenAI and LLMs

A deep dive on Generative AI (GenAI) in compliance was the focus of the first panel session at the recent A-Team Group RegTech Summit in New York. The panel comprised Erin Preston, Chief Compliance Officer, Wedbush Securities; Harsh Pandya, Vice President, Product Management, Saifr; Brandon Carl, EVP, Product Strategy, Smarsh; and Rachna Srivastava, Head of...

EVENT

Data Licensing Forum 2025

The Data Licensing Forum will explore industry trends, themes and specific developments relating to licensing of financial market data from Exchanges and Data Vendors.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...