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Fidelity Investments Unveils Institutional Cryptocurrency Analytics Platform, ‘Sherlock’

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  • Fidelity launches institutional cryptocurrency analytics platform SherlockNEWS
  • Fulfill the need for accurate, comprehensive, and accessible data solution
  • Renewed interest in cryptocurrencies

Digital asset space is attracting new players, and the latest jump on the bandwagon is Asset management giant Fidelity. The investing.com news reports that Fidelity Investments, which has $10 trillion assets in its coffers, has launched a digital assets data and analytics solution to assist institutional investors and fund managers.

Platform to provide data on fundamental and technical analysis.

Fidelity Investments has unveiled a digital assets data and analytics solution platform dubbed Sherlock. It is much akin to Bloomberg’s Terminal and will collect data on fundamental and technical analysis. It will also provide blockchain data, market data, social sentiment analysis and industry news under one head.

The latest platform will rub shoulders with other platforms, e.g. Messari launched in 2018. The forum will provide institutional-grade analytics. Santiment, Glassnode, Skew, Coin Metrics, and Dune Analytics are a few other platforms that offer similar services.

Delphi Digital is another platform that performs similar functions. Delphi partnered with gaming venture firm Bitkraft to provide in-depth research and analytics for institutional clients.

Renewed interest in the digital assets data space

The investing.com news quoted vice president of product management, Fidelity Center for Applied Technology, Kevin Vora. He said that renewed interest institutional investors need such a platform to provide accurate, comprehensive, and accessible data solutions. Vora further added that it is heartening to see tremendous growth in the digital assets data space over the past few years. Sherlock will not only provide a hi-tech set of analytics tools for institutional investors; it will also permit users to research and explore the data off-platform for modelling and back-testing.

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