Bloomberg Launches New AI Coding Tool for Data Analysis
The new BQuant Assistant helps users build investment models using natural-language prompts to access 22,000 data fields.
Updated on Oct. 28, 2026 in Stock Markets

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Bloomberg has launched BQuant Assistant, a new conversational AI tool designed to help users generate Python code and query financial data using natural-language prompts. This technology, which supports data across 22,000 fields, aims to streamline investment strategy workflows for institutional users.
Why it matters
The introduction of this AI assistant seeks to accelerate financial analysis and data processing by reducing the manual coding effort required for complex quantitative workflows. By allowing users to query extensive datasets using natural language, the tool changes how financial professionals interact with data and build investment models.
The new BQuant Assistant provides access to 22,000 financial data fields, a massive expansion compared to traditional manual search methods. While the tool is designed to expedite quantitative research, its specific impact on operational efficiency per firm remains unquantified.
The players
Bloomberg
A provider of financial data, software, and analytics services that offers the BQuant platform for investment professionals.
The details
BQuant Assistant functions as an AI-powered coding companion integrated directly into the BQuant Desktop and Enterprise environments. Users enter natural-language prompts, and the tool leverages Bloomberg libraries and internal documentation to generate Python code or specific data queries. To maintain security, the platform requires users to manually approve the insertion and execution of any generated code within the BQuant sandbox.
Timeline
Bloomberg introduced the BQuant Assistant on October 28, 2026.
General availability for BQuant Enterprise and a limited beta for BQuant Desktop arrive at the end of October 2026.
Money Landscape
The introduction of BQuant Assistant marks an evolution in the BQuant platform, moving from manual coding interfaces toward natural-language-driven automation. This shift reflects a broader trend in financial technology to integrate generative AI into high-stakes investment data environments.
For financial professionals using BQuant, this tool may reduce the time spent on routine coding tasks and data extraction. Organizations should review their existing subscription agreements to determine access for BQuant Enterprise or the limited BQuant Desktop beta.
The takeaway
AI tools like the BQuant Assistant are increasingly standardizing the way financial analysts build and execute complex investment strategies. Professionals using similar platforms should monitor their own internal update schedules to see if natural-language tools are being integrated into their current software suite.
Further reading
For more on evolving financial technology, explore our coverage of Stock Markets.
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