London Stock Exchange Owner Says NVIDIA Chips Crunch Years of Trading Data in Seconds

Wednesday, 14/10/2026 | 06:59 GMT by Damian Chmiel
  • A benchmark ran its 110-trillion-row Tick History archive on graphics chips without making another full copy.
  • Strategy backtests, order book reconstruction and execution-quality checks are among the uses LSEG lists.
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Jensen Huang, Nvidia CEO, said they see something "very different" from a bubble (Nvidia).

London Stock Exchange Group (LSEG) said today (Wednesday) that years of its Tick History data can be analyzed in seconds on NVIDIA chips, down from hours. The figure comes from a benchmark that used NVIDIA's cuDF software with the Polars data library.

Tick History holds 110 trillion rows on 100 million instruments from more than 580 exchanges, venues and contributors, going back over 30 years. Under the setup, LSEG said, customers can run it on NVIDIA graphics processors without making another full copy, and existing licenses and access controls stay in place.

The work is part of LSEG Everywhere, the group's strategy for delivering data into AI tools, which in December connected its feeds to ChatGPT for licensed users.

London's trading industry is coming home!

Use of the archive is growing. Customer API requests for Tick History rose 48% in the first half from a year earlier, while traffic on LSEG's real-time network grew 29% and peaked at 26 million messages per second in June. LSEG gave no launch date or pricing for the GPU setup.

What Changes for Brokers and Trading Desks

Ioana Boier, global head of capital markets strategy at NVIDIA
Ioana Boier, global head of capital markets strategy at NVIDIA

Firms want historical data "without the burden and risk of creating another full copy," said Ron Lefferts, who has co-led LSEG's Data & Analytics division since April 2025.

LSEG lists three groups of uses: strategy testing over longer histories and more venues, execution analysis such as order book reconstruction and execution-quality checks, and risk work including market replay and AI research.

Execution-quality checks are part of how brokers show regulators they deliver best execution. LSEG already sells them cross-venue surveillance built on a consolidated orderbook of more than 40 UK and EU venues, launched in January.

Retail brokers already buy LSEG content. Capital.com signed up for LSEG news, market data and research feeds in February 2025 to serve more than 750,000 traders.

Researchers can work "without downsampling away the detail that makes the data valuable," said Ioana Boier, global head of capital markets strategy at NVIDIA. Downsampling means cutting tick data into coarser intervals to make it easier to process.

Exchanges and Data Vendors Court the Same Users

Data & Analytics, the division that sells Tick History, grew 5.1% on an organic basis in the first half, the slowest of LSEG's four divisions. Markets grew 11.9% and Risk Intelligence 9.7% on the same basis.

KX, the time-series database company that merged with tick data provider OneTick in 2025, released two AI blueprints built with NVIDIA in March, including a trading signal agent.

CME Group took a cloud route years earlier, when it put its live futures and options feeds on Google Cloud in 2019. LSEG itself began delivering datasets through Databricks in September 2025 and named Tick History among those to follow.

The Financial Conduct Authority (FCA) has worked with the same chipmaker. It opened a sandbox with NVIDIA in 2025 where financial firms can try out AI tools on NVIDIA's computing platform.

London Stock Exchange Group (LSEG) said today (Wednesday) that years of its Tick History data can be analyzed in seconds on NVIDIA chips, down from hours. The figure comes from a benchmark that used NVIDIA's cuDF software with the Polars data library.

Tick History holds 110 trillion rows on 100 million instruments from more than 580 exchanges, venues and contributors, going back over 30 years. Under the setup, LSEG said, customers can run it on NVIDIA graphics processors without making another full copy, and existing licenses and access controls stay in place.

The work is part of LSEG Everywhere, the group's strategy for delivering data into AI tools, which in December connected its feeds to ChatGPT for licensed users.

London's trading industry is coming home!

Use of the archive is growing. Customer API requests for Tick History rose 48% in the first half from a year earlier, while traffic on LSEG's real-time network grew 29% and peaked at 26 million messages per second in June. LSEG gave no launch date or pricing for the GPU setup.

What Changes for Brokers and Trading Desks

Ioana Boier, global head of capital markets strategy at NVIDIA
Ioana Boier, global head of capital markets strategy at NVIDIA

Firms want historical data "without the burden and risk of creating another full copy," said Ron Lefferts, who has co-led LSEG's Data & Analytics division since April 2025.

LSEG lists three groups of uses: strategy testing over longer histories and more venues, execution analysis such as order book reconstruction and execution-quality checks, and risk work including market replay and AI research.

Execution-quality checks are part of how brokers show regulators they deliver best execution. LSEG already sells them cross-venue surveillance built on a consolidated orderbook of more than 40 UK and EU venues, launched in January.

Retail brokers already buy LSEG content. Capital.com signed up for LSEG news, market data and research feeds in February 2025 to serve more than 750,000 traders.

Researchers can work "without downsampling away the detail that makes the data valuable," said Ioana Boier, global head of capital markets strategy at NVIDIA. Downsampling means cutting tick data into coarser intervals to make it easier to process.

Exchanges and Data Vendors Court the Same Users

Data & Analytics, the division that sells Tick History, grew 5.1% on an organic basis in the first half, the slowest of LSEG's four divisions. Markets grew 11.9% and Risk Intelligence 9.7% on the same basis.

KX, the time-series database company that merged with tick data provider OneTick in 2025, released two AI blueprints built with NVIDIA in March, including a trading signal agent.

CME Group took a cloud route years earlier, when it put its live futures and options feeds on Google Cloud in 2019. LSEG itself began delivering datasets through Databricks in September 2025 and named Tick History among those to follow.

The Financial Conduct Authority (FCA) has worked with the same chipmaker. It opened a sandbox with NVIDIA in 2025 where financial firms can try out AI tools on NVIDIA's computing platform.

About the Author: Damian Chmiel
Damian Chmiel
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About the Author: Damian Chmiel
Damian Chmiel is a Senior Analyst & Editor at Finance Magnates with more than 15 years of experience in the CFD and online trading industry. Active as both a trader and journalist since 2010, he focuses on broker coverage, fintech innovation, and regulatory developments across Europe, the Middle East, and Asia. His work includes interviews with C-level leaders at major brokerages and fintech platforms, as well as co-authoring Finance Magnates’ quarterly industry benchmarking reports. Damian’s reporting is data-driven, market-aware, and grounded in direct industry engagement. His analysis and commentary have also been cited by external media outlets, including Investing.com, Binance, The Asset, Stockhead, and Dispatch. Education: MA in Finance and Accounting, Cracow University of Economics
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