Fidelity Investments Launches Sherlock Crypto Analysis Platform For Institutional Investors

Fidelity Investments, a multinational financial services firm based in Boston, Massachusetts, announced the launch of a new comprehensive data analytics and in-depth digital asset analysis solution. The new product is called Sherlock and allows them to streamline the "fundamentals and techniques" associated with cryptocurrencies by targeting institutional customers. Fidelity Investments Offers Crypto Analysis and Tools Platform Called Sherlock While companies such as Skew, Glassnode, Messari, Dune Analytics, Cryptoquant and more have attracted attention, the field of data and analysis associated with the cryptocurrency world is currently extremely popular. Last weekend News reported on the Skew acquisition while analytics firm Coinbase joined the family of companies. Skew's data will be used for Coinbase Prime customers, which are institutional customers of the San Francisco Stock Exchange. Sherlock's advantages over Fidelity Investments. On Monday, Fidelity Investments introduced a crypto platform called “ Sherlock '' for its corporate clients. Fidelity said the new product provides "comprehensive data and in-depth analysis of digital assets in a central location to facilitate informed investment decisions". The Sherlock web portal states that interested users can request a demo, stating that crypto is very difficult to navigate – there should be no data – Sherlock provides you with the data and tools you need to identify business opportunities. Build investment and trading strategies. Developed by the Fidelity Center for Applied Technology, Sherlock Fidelity says that Sherlock users can "take in-depth asset analysis, uncover insights and follow market developments" to make the best cryptocurrency investment decisions. "Users can also explore data outside of the platform for modeling and backtesting," says Fidelity's announcement. Sherlock was also developed as a blockchain FCAT (Fidelity Center for Applied Technology).

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