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LSEG taps Nvidia for faster historical market data processing

LSEG, which operates the London Stock Exchange and provides data and analytics, has been expanding its offerings to support diverse demand whilst retaining licenses and control as AI also affects how businesses trade and consume data.

LSEG taps Nvidia for faster historical market data processing

The London Stock Exchange Group (LSEG) has announced a partnership with Nvidia to process and analyze large volumes of historical market data more quickly and efficiently. This collaboration aims to help financial institutions harness Nvidia's technology to gain insights from their data faster and more accurately.

LSEG operates the London Stock Exchange and offers data and analytics services. With the growing demand for data-driven decision-making and the influence of AI on trading practices, LSEG has been expanding its offerings to meet diverse customer needs while preserving their licenses and control.

Research conducted by LSEG demonstrated that using Nvidia's specialized processors for data computation without duplicating the dataset could enable the analysis of every trade and price quote in seconds. This development would enhance research capabilities and bring real-time insights closer to equity trading, which is increasingly moving to 24-hour cycles.

Ron Lefferts, co-head of data & analytics at LSEG, emphasized the importance of providing customers with detailed historical data at speed. LSEG's Tick History contains approximately 110 trillion rows of data across 100 million instruments, spanning 30 years and involving 580 exchanges, trading venues, and contributors. The company is the largest user of Reuters news for its Workspace news and data platform and other products.

LSEG plans to launch LSE 24, a night-time trading site for some exchange-traded products, in the coming year. The company is committed to staying connected with its customers, providing timely updates through notifications and the best content through its channel, available on various chat apps.

Written by urgent.news from Channel News Asia's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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