LSEG boosts financial data analytics with Nvidia computing power

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LSEG partners with Nvidia

Highlights

LSEG partners with Nvidia.
110 trillion records targeted.
Faster market data analysis.

The collaboration will use Nvidia's specialised processors to accelerate analysis of LSEG's Tick History database, Reuters reports. The companies aim to let financial institutions examine individual trades and price quotations within seconds, potentially reducing the time needed for market research, trading strategy development, and risk assessment.

Nvidia technology targets massive datasets

LSEG's Tick History service contains approximately 110 trillion data records covering 100 million financial instruments. Its archive spans 30 years and draws information from 580 exchanges, trading venues, and other contributors, making it a substantial resource for institutions studying market behavior.

Processing that volume of information typically requires considerable computing capacity, particularly when analysts need to examine individual transactions rather than aggregated prices. Nvidia's accelerated computing technology is designed to perform large numbers of calculations simultaneously, offering a potential alternative to slower conventional approaches.

LSEG said its analysis indicated that Nvidia processors could examine the underlying data without requiring institutions to create separate copies of the dataset. That approach could shorten processing times while allowing LSEG to retain control over how its information is accessed and used.

The partnership forms part of LSEG's broader effort to expand its data and analytics business as financial companies increase their use of artificial intelligence and high-performance computing.

Longer trading hours increase demand for speed

The initiative comes as exchanges and financial institutions prepare for trading activity to extend further beyond traditional market hours. LSEG plans to introduce LSE 24 next year, offering overnight trading in selected exchange-traded products.

Longer trading sessions could increase demand for historical information that can be processed quickly enough to inform decisions throughout the day. Banks, asset managers, and trading firms use transaction-level data to test investment strategies, examine liquidity, and evaluate market risks.

The collaboration does not change the underlying ownership of LSEG's market data. Instead, it focuses on making existing information easier to analyse at scale while preserving licensing arrangements and data governance.

Data infrastructure becomes a competitive advantage

The agreement illustrates how competition among financial information providers increasingly depends on computing performance as well as the breadth of their datasets.

For LSEG, the commercial opportunity lies in making its extensive archive more useful to institutional clients without relinquishing control over proprietary information. Nvidia, meanwhile, gains another application for its processors beyond the artificial intelligence workloads that have driven much of its recent growth.

The potential benefits will depend on how effectively institutions integrate the technology into their existing systems. Faster analysis alone does not guarantee better trading results, but it could reduce research costs and improve access to detailed market information.

As trading hours expand and datasets continue to grow, the ability to process historical transactions efficiently may become an increasingly important factor in the financial data industry.

Earlier, we reported that LSEG plans tokenized UK shares with the Payward partnership.

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