Bloomberg makes proprietary alternative data available to quants

Bloomberg has made its proprietary Bloomberg Second Measure (BSM) transaction data analytics feeds available via Bloomberg Data License.

Data professionals and quantitative researchers can now connect this alternative dataset with Bloomberg’s more traditional Data License content.

Drawn from billions of US consumer credit card and debit card transactions, the BSM data analytics feeds deliver insights into company performance and consumer trends in near-real-time at a 3-day lag. The transaction data comes from a subset of a US consumer panel that includes more than 20 million consumers, and covers more than 3,000 public and private companies and more than 4,000 brands across industries.

Tony McManus, Global Head of Bloomberg’s Enterprise Data division

Tony McManus, global head of enterprise data, Bloomberg, said: “By continuing to build out our interconnected suite of company research products, Bloomberg is a catalyst for change to the typically complex quant workflow that requires sourcing and organizing datasets from multiple providers.

“Delivering our proprietary alternative data directly alongside our traditional financial data through Data License allows quants and research analysts to make efficient, better-informed market projections with unique insights.”

Richard Lai, global head of alternative data, Bloomberg, said: “Making our Bloomberg Second Measure transaction data analytics feeds available for use across the enterprise with Data License is the next step in our effort to lower the barrier to entry for investment analysts to use alternative data for generating differentiated insights.”

Customers can browse, examine and use enterprise datasets at data.bloomberg.com or through DATA <GO> on the Bloomberg Terminal, and access this content via a REST API, SFTP or natively in all major cloud providers.

©Markets Media Europe 2024

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