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Video: LSEG Tick History – PCAP
Tick History – PCAP offers granular, ultra-high-quality global market data captured directly at the data centre and timestamped to the nanosecond, giving you access to complete sets of lossless, top-of-book and full-depth data.

Learn more by watching our video, then visiting our website. Request a call back from our experts by completing the form on this page.

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EXPERT TALK | What does it take to achieve high quality data?

The need for very high-quality exchange data has never been greater than it is today. Tick History – PCAP data is captured at exchange data centres with nanosecond precision, and in a lossless manner to ensure the highest quality.  

This Expert Talk explores key elements around data quality for PCAP tick data and also looks ahead to how the data quality journey will continue to evolve for LSEG Tick History – PCAP within LSEG. 


FACT SHEET | LSEG Tick History

LSEG’s full range of real-time data is now easily accessible via the cloud.  

Read this fact sheet to discover how you can leverage the cloud to access the real-time data you need, when you need it. 


BLOG | Covering all bases: The importance of global data coverage for multi-asset class trading 

The need for high-quality, extensive market data coverage is increasing, given markets’ complexity and interconnectedness. Market data coverage quality can be examined across the following dimensions: breadth, depth, granularity, accessibility. Providing unparalleled tick history and direct feeds content coverage, LSEG are prepared to support customers’ multi-asset class trading efforts.


FACT SHEET | LSEG Tick History – S3 Direct

By accessing Tick History via our S3 direct buckets on AWS, you can collect and download the data to your S3 bucket – whenever you need it. Delete the data from your cloud, and we’ll keep a copy in our S3 buckets so you can download it again if required.

With TCO advantages and reliable, efficient, persistent data storage that’s accessible any time, you can easily navigate the challenges of managing large volumes of historical financial data.