Bloomberg has launched Data Access, an extension of the Bloomberg Transaction Cost Analysis solution (BTCA), which it says will enable clients to bring together trading data with Bloomberg Data License’s (DL) reference and pricing data.

Clients will be able to rapidly design and build bespoke data solutions on top of the BTCA framework using general-purpose programming language such as Python.

Data Access allows current BTCA customers to input complex queries to refine data for several use cases including trend analysis of broker and trader performance and integrating with data visualisation tools to generate actionable insights. The combined datasets provide clients comprehensive content for reporting and decision making. This includes trade data, which encompasses the full spectrum of a lifecycle data such as order characteristics. Additionally, benchmark data provides the results of all benchmark calculations and context data that shows grouping for the executed trades.

Bloomberg BTCA delivers transaction cost analysis alongside Bloomberg’s global market data across a wide range of trading benchmarks and asset classes. Bloomberg says BTCA offers trading insights that help clients create and monitor their best execution strategies. BTCA’s exception-based workflows are intended to help traders ensure they meet a firm’s compliance and execution policies and provides risk teams with granular details of the entire trade flow life cycle.