LSEG Tick History – S3 Direct

Data collection and download made simple

The increasing demand for historical market data across use cases and asset classes highlights the importance of gaining access to high-quality data.

With data volumes and automation growing, firms in the financial sector are looking for ways to optimise their data capabilities and costs, and increasingly they have become able to improve their compute power and to optimise data and technology costs by leveraging the cloud.

By accessing LSEG 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.

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Webinar | Ticking all the boxes

Why Tick History and Tick History – PCAP are the perfect match for your historical market data use cases

Today, traders require historical market data for the widest range of use cases, from backtesting and trade execution analysis to risk management and trade surveillance. And thanks to the rapid rise of electronic trading and algorithmic trading the need for high quality, comprehensive historical data – in terms of both breadth and depth – has never been more important.

We offer two different variations of historical market data: Tick History and Tick History – PCAP. This webinar seeks to explore both in greater detail – how they work and how they can be used together. If you think of Tick History as the magnifying glass and Tick History – PCAP as the microscope, we’ll look at how these two datasets complement each other to give you the fullest picture of what is happening in today’s ever-changing trading environment, to generate more alpha and better manage risk.

Watch this webinar to discover how these two data sets can complement each other and can support your historical data use case.

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