Bloomberg has launched Data Access, a new extension to the Bloomberg Transaction Cost Analysis solution (BTCA), designed to provide clients with easier access to data through an API integration. The new extension allows users to consolidate their trading information with Bloomberg’s comprehensive reference and pricing data, enabling the creation of custom data solutions on top of the BTCA framework rapidly using general-purpose programming language such as Python.
Aimed specifically at current BTCA customers, Data Access offers the capability to perform complex data queries for trend analysis in broker and trader performance, and integrates with data visualisation tools for generating actionable insights. By encompassing trade data across the entire trade lifecycle, along with benchmark results and contextual grouping data for executed trades, It provides a holistic view of content to aid with reporting and decision-making.
Ravi Sawhney, Global Head of Trade Automation & Analytics at Bloomberg, commented: “We are focused on the continued enhancement of our solutions as clients’ trading needs are constantly evolving with the markets,. BTCA allows clients to analyse and monitor trading performance and provides them with tools to create customized reports using a range of factors, including peer benchmarks. The ability to use a broader range of data as they evaluate their transactions helps expand trading insights make better informed decisions to improve performance.”
Audrey Blater, Senior Analyst for Coalition Greenwich Market Structure and Technology., added: “Data is a significant driver of TCA adoption, and increased workflow electronification enables clients to benefit from a broader range of datasets. Our research shows that the buy-side continue to adopt TCA tools, and as client needs advance, systems providers are responding by continuously investing in their TCA solutions and offering enhanced features.”
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