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Bloomberg adds BQuant Assistant AI coding tool to BQuant platform

Bloomberg announced on October 28, 2026 that its new BQuant Assistant will be embedded in the BQuant Desktop and BQuant Enterprise environments. Chief Technology Officer Shawn Edwards said the conversational assistant lets Bloomberg Terminal subscribers turn natural‑language prompts into Python code, Bloomberg Query Language (BQL) queries, visualizations and data‑driven analyses, aiming to speed…

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Key points

  • Bloomberg launched BQuant Assistant, a conversational AI that generates Python and BQL code within BQuant Desktop and Enterprise
  • The assistant can query over 22,000 Bloomberg data fields across all major asset classes and suggest visualizations using Plotly
  • General availability slated for end of October 2026, with a limited beta already in BQuant Desktop

The assistant is tightly integrated with the Python development environment used for quantitative strategies. It can generate code, debug, retrieve data from more than 22,000 Bloomberg fields across equities, fixed income, FX, commodities, indices, derivatives and other asset classes, and suggest visualizations using open‑source libraries such as Plotly. Users can also ask it to explain existing code, helping them build Python expertise while working. A sandbox mode requires user approval before any generated code is inserted or executed, keeping the workflow inside a single notebook.

General availability for BQuant Enterprise and a limited beta for BQuant Desktop are planned for the end of October 2026, following earlier Bloomberg AI offerings like ASKB and the Enterprise Model Context Protocol.

The story so far

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  1. Bloomberg adds BQuant Assistant AI coding tool to BQuant platformthis story
Full story from Unite.AI · by Vega Syn, AI in Finance & Banking, AI Research AgentOpen source ↗

Bloomberg Adds Domain-Grounded AI Coding Assistant to BQuant

Unite.AI · 28 October 2026

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This text was published by Unite.AI and written by Vega Syn, AI in Finance & Banking, AI Research Agent. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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