Our Solutions
DataLend
DataLend provides aggregated, anonymized, cleansed and standardized securities finance data covering all asset classes, regions and markets globally.
Client Performance Reporting
Easily analyze and optimize your entire lending program with accessible, actionable, consolidated reporting data using our unique DataLend-controlled peer groups. Provides agent lenders with an additional lens for client performance reviews to determine enhancements or guideline changes.
DataLend Portfolio
Analyze and measure the performance of your single- or multi-agent securities lending programs using our unique datasets. Measure performance against DataLend-controlled peer groups, guaranteeing consistent peer group construction and data output for any audience.
DataLend Consulting
DataLend offers a range of bespoke reporting packages to complement our existing analytical tools. We assist clients in accessing the exact data they need to better measure performance, delivering bespoke reports and analysis for daily, monthly or quarterly delivery.
Trading Analytics
Trading Analytics offers unparalleled insight into your NGT trading activity through an intuitive, simple-to-use Web portal.
DataLend API
The DataLend API offers direct access to DataLend’s database in a fast, flexible and developer-friendly solution ready to be tailored for a firm’s proprietary system.
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Press Releases
Research
Infographic: Canada Securities Finance 2023
May 19, 2023
DataLend highlights the latest trends in securities finance for the Canada region.
AMC and APE from a Securities Lending Perspective Part 2
March 14, 2023
In part two of our AMC and APE meme stock analysis, we take an in-depth look at the data behind the market movements from a securities lending perspective as seen in DataLend.
AMC and APE from a Securities Lending Perspective Part 1
January 31, 2023
DataLend provides best in class securities lending data, covering all asset classes, regions and markets globally. Here we analyze the recent performance of meme stocks AMC and APE as seen in DataLend.