Finmason Announces 10 Million Portfolios Analyzed Milestone

U.S.-based fintech FinMason announced earlier this week it has analyzed over 10 million portfolios for clients since launching its analytics API service in 2017. As previously reported, FinMason claims to be the world’s largest independent investment analytics engine for financial services platforms. The fintech firm notably provides access to more than 700 calculations on every publicly traded asset in the world delivered through one simple API. The company reported:

Fintech“Boasting 700+ analytics on every publicly-traded security worldwide, the FinMason API is one of the largest investment analytics platforms in production. Since its launch, the analytics service has expanded to support three additional currencies – the Canadian Dollar, the Euro, and the British Pound – and has become a licensed redistributor channel for Refinitiv’s Lipper data.”

Speaking about the milestone, Kendrick Wakeman, Founder and CEO of FinMason, stated:

“As we build momentum and come to serve more partners, firms in the industry continue to take notice of the value we bring to the table. From day one, our mission has been to help other firms rapidly prototype, iterate on functionality, improve UI/UX, and ultimately get to market up to 50 percent faster with a better product. Ease, speed, and cost are in high demand as WealthTech platforms race to get product to market.”

Along with the latest milestone, FinMason recently partnered with BNYM Eagle Investment Systems in a strategic alliance to provide Eagle clients the option to enrich holdings data by accessing FinMason analytics directly through an interface with the Eagle product suite. The company added:

“News of this alliance came on the heels of the recently announced FinMason partnership with TD Ameritrade Institutional which brought a FinMason-powered Model Impact Tool to the TD Model Market Center. The Model Impact Tool, available to Model Market Center subscribers at no additional cost, is designed to help advisors measure potential model risk and inform their research on which strategies may align with their client’s goals.”

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