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: How to maximise data sources created by MiFID II

Markets in Financial Instruments Directive II (MiFID II) creates new data sources that could be used to identify business opportunities and gain competitive edge. The sources include Approved Publication Arrangements (APA) and ESMA’s Financial Instruments Reference Data System (FIRDS). The regulation also mandates use of standard data, disaggregated market data feeds, and ISINs for OTC...

BLOG

Navigating the Evolving Landscape of Trade Surveillance: Key Insights and Best Practices

With regulators sharpening their focus and trading desks pushing ever more complex strategies, a robust trade surveillance capability has become non-negotiable for today’s financial institutions. From spoofing to layering, new market-abuse schemes demand surveillance platforms that blend real-time analytics, machine learning and human insight. A recent webinar, hosted by A-Team Group, brought together a diverse...

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

The DORA Implementation Playbook: A Practitioner’s Guide to Demonstrating Resilience Beyond the Deadline

The Digital Operational Resilience Act (DORA) has fundamentally reshaped the European Union’s financial regulatory landscape, with its full application beginning on January 17, 2025. This regulation goes beyond traditional risk management, explicitly acknowledging that digital incidents can threaten the stability of the entire financial system. As the deadline has passed, the focus is now shifting...