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London Stock Exchange Group (LSEG) has announced a collaboration with NVIDIA to help financial institutions analyse large volumes of LSEG Tick History data at greater speed and scale using NVIDIA cuDF for accelerated computing on NVIDIA GPUs. This is achieved without creating another full copy of the underlying dataset, while preserving the licences, permissions and controls that govern access.
The collaboration brings LSEG's permissioned historical market data closer to the computing environments used for quantitative research, market analysis and AI. As part of the LSEG Everywhere AI strategy, users can run large-scale data processing on Tick History datasets.
Benchmark analysis shows years of LSEG Tick History can be analysed in seconds using NVIDIA cuDF and Polars, reducing processing time from hours to seconds. As equity trading moves towards near 24-hour operation, firms are moving away from legacy models that rely on market-close data loading and overnight analytics.
LSEG Tick History holds 110 trillion rows of data across 100 million instruments, spanning more than 30 years and more than 580 exchanges, trading venues and contributors. In H1 2026, traffic over LSEG's real-time network grew by 29% compared with H1 2025, reaching a new peak of 26 million messages per second in June, while customer API requests for Tick History data increased by 48%.
Ron Lefferts, Co-Head of Data & Analytics, LSEG
Ron Lefferts, Co-Head of Data & Analytics, LSEG said:
This collaboration expands how customers can draw insight from LSEG’s trusted, governed Tick History. Customers want to work with detailed historical data at speed, without the burden and risk of creating another full copy. This helps firms analyse deeper histories closer to the point of decision, while keeping the permissions and controls they rely on fully intact.
Ioana Boier, Global Head of Capital Markets Strategy, NVIDIA
Ioana Boier, Global Head of Capital Markets Strategy, NVIDIA said:
AI is opening new ways to understand market behavior across vast amounts of data. NVIDIA cuDF helps researchers analyze LSEG Tick History at scale without downsampling away the detail that makes the data valuable for advanced analytics and AI.
The collaboration is intended to support customer workflows including quantitative research and strategy testing; execution and market analysis, such as reconstructing order books and analysing pricing, liquidity and execution quality; and risk, market replay and AI-enabled research.
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