Venn by Two Sigma Partners with Coin Metrics to Provide Institutional-Level Digital Asset Data – PR Newswire | Jewelry Dukan

NEW YORK, September 20, 2022 /PRNewswire/ — Venn, Two Sigma’s portfolio analytics platform, today announced a strategic alliance with Coin Metrics, a leading institutional crypto-financial intelligence provider, to provide platform users with digital asset return data.

“The landscape of digital assets is evolving rapidly. Investors lack the quality of data and workflows they need to evaluate participation in this asset class,” he said Marco Della Torre, managing director of Venn. “We believe that working with Coin Metrics will enable us to offer a combination of reliable data and meaningful portfolio insights that will set new industry standards for digital asset analysis.”

“As a leading multi-asset portfolio analysis and investment platform, Venn understands the critical need for institutional-quality crypto benchmark interest rate data that asset owners, managers and advisors can truly trust,” said Venn Tim Rice, Co-Founder and CEO of Coin Metrics. “Coin Metrics’ independent and transparent crypto asset prices will drive Venn’s factor models and scenario analysis as asset allocators add crypto to their portfolios and gain a better understanding of the relevant implications. We are proud to strengthen Venn’s investment platform as part of our joint effort to support a new wave of institutional crypto investors.”

Calculated in US Dollars and Euros for over 475 assets, Coin Metrics reference rate data will provide Venn users with reliable data on digital asset returns that they can use to create powerful factor-based workflows. Coin Metrics reference rates are derived from a variety of high-quality markets. The calculation methodology for determining the tariffs is transparent for all participants on their website.

Integrating Coin Metrics data into the Venn platform is one element of a broader strategy to support allocators looking to contextualize crypto in a multi-asset portfolio. In August, Venn a Cooperation with Coinbase Institutional to educate institutional investors about the digital asset space through a range of educational resources.

Contact us to learn more about the digital asset data now available on Venn [email protected] to schedule a free demo.

About Venn from Two Sigma

Venn is Two Sigma’s portfolio analysis platform used by asset owners, wealth managers and advisors. Venn applies Two Sigma research, data science and technology expertise to modernize the analytical experience for institutional investors and help them take a quantitative approach to multi-asset portfolio risk and investment decisions. The tools available in Venn help investors perform factor-based risk analysis to inform manager due diligence, investment appraisal and portfolio construction.

Two Sigma Investor Solutions, LP operates Venn – see here for important disclaimers and disclosures. Venn is for institutional investors only. please see for more information.

About two sigma

Two Sigma is a financial science firm that combines rigorous research, data analysis and invention to solve the toughest challenges in investment management, insurance, securities, private equity and venture capital. Founded in 2001 by David Seal and John OverdeckTwo Sigma employs over 1600 creative minds and has offices in new York, Houston, Portland, London, Tokyo, Hong Kong and Shanghai. For more information visit

About coin metrics

Coin Metrics is the leading provider of crypto financial intelligence, providing network data, market data, indices and network risk solutions for the most reputable institutions that touch cryptoassets. The company was founded in 2017 as an open source project to determine the economic importance of public blockchains. Today we are expanding that original purpose to empower people and institutions to make informed crypto financial decisions. Our goal is to introduce the world’s leading financial institutions to crypto with the most trusted data and insights. For more information visit

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SOURCE Two Sigma

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