Bloomberg Query Language (BQL) Cheatsheet

Dynamic Query Generator
Core Syntax
BQL() The wrapper for all queries in Excel.
Universe Specifies assets (e.g., "members('SPX Index')").
Fields The data items to retrieve.
Essential Functions
AGG dropna() Removes N/A values from result sets.
DATA fscore() Returns Piotroski F-Score metrics.
TIME dateshift() Adjusts relative dates.

Guide of this Tool

This tool is an advanced interface for constructing Bloomberg Query Language (BQL) strings. To use the generator, input your security identifier, select your financial data field, apply an optional aggregate function, and define your timeframe. The engine will automatically compile the syntax, highlighting the functional parts and explaining the calculation logic behind the string construction.

Facts

  • BQL is a cloud-based API, meaning calculations happen on Bloomberg servers, not your local Excel instance.
  • It can handle massive data sets that traditional BDP or BDH formulas cannot.
  • BQL allows for filtering and grouping directly within the query string.

Additional Tips

  • Always use dropna=true when performing aggregations to ensure accurate averages.
  • Use members('Index Name') to dynamically pull a full index constituents list.
  • Combine BQL with BDP for static data to optimize sheet performance.

Use Cases

1. Portfolio Analysis: Aggregate total ESG scores across a custom fund list.
2. Quantitative Screening: Filter the Russell 3000 for companies with PE < 15 and positive EPS growth.
3. Historical Backtesting: Retrieve 10 years of quarterly revenue for a peer group in a single cell.

About this Tool

Developed for financial analysts and data scientists, this tool provides a bridge between raw Bloomberg documentation and practical application. It follows a production-ready monochrome design to match the high-stakes environment of professional trading floors and research desks.

Examples

=BQL("members('SPX Index')", "avg(px_last(dateshift('-1Y','0D')))")

Calculates the average price of all S&P 500 members as of one year ago.

© 2023 BQL Advanced Analytics Cheatsheet. Optimized for Financial Professionals.

Confidential & Proprietary Design System


Bloomberg BQL Fundamentals by F9XR


Feature Details
Price Free
Rendering Client-Side Rendering
Language JavaScript
Paywall No

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