Bloomberg Open API

Bloomberg Open API for Node.js is an open-source library that bridges Node.js applications and Bloomberg's financial data infrastructure. It exposes Bloomberg's Market Data service, Reference Data service, and news feeds through a JavaScript interface, using asynchronous Promises to keep all data operations non-blocking.

The library requires an active Bloomberg terminal or server-side Bloomberg API license. Once authenticated, developers can retrieve real-time prices, subscribe to live data streams, query historical OHLCV series, and pull reference data including security identifiers and corporate actions. It functions as a thin wrapper around Bloomberg's terminal infrastructure rather than a standalone data source.

Teams at FinTech and capital markets firms building on Node.js use it to feed live and historical market data into pricing engines, risk systems, and internal dashboards without requiring individual Bloomberg terminal access for every application.

Most production uses fall into three patterns. Subscription-based streaming keeps a persistent connection to Bloomberg for real-time tick data, feeding prices directly into order management systems or alerting pipelines. Request-response polling retrieves snapshots of reference data or end-of-day prices on a schedule, suitable for overnight batch processing. Event-driven architectures pipe Bloomberg data into message queues for downstream consumption by analytics or reporting services.

The library integrates naturally with any Node.js framework, including Express-based APIs, serverless functions, and long-running background workers. For teams running data infrastructure on modern cloud platforms, Bloomberg Open API fits in as a data source layer rather than a standalone dependency.

Trading platform data feeds: Real-time price subscriptions power order books, execution interfaces, and pre-trade analytics for equities, fixed income, FX, and derivatives desks.

Quantitative research tooling: Historical OHLCV retrieval across asset classes supports factor model research, backtesting pipelines, and portfolio construction workflows.

Risk and compliance systems: Reference data and corporate actions feed position valuation and regulatory reporting where data accuracy carries compliance obligations.

Internal financial analytics: Teams building broader banking and financial services technology platforms use this library as the data layer for internal dashboards, eliminating per-analyst Bloomberg terminal costs without sacrificing data quality.

The library uses Node.js event loop semantics for all data calls, so Bloomberg requests do not block the main thread. This suits high-frequency polling and streaming architectures where many concurrent subscriptions must run without degrading application responsiveness.

Performance in production is primarily constrained by Bloomberg API limits tied to the underlying license, not the Node.js wrapper. Applications requiring large numbers of simultaneous subscriptions should be designed with connection pooling and throttling logic. Promise rejections handle failed requests, making retry and fallback logic straightforward to implement.

The library is MIT-licensed, so there is no cost or restriction on using, modifying, or redistributing the wrapper code in commercial applications. The Bloomberg data services it connects to require a paid Bloomberg API subscription, through either a Bloomberg terminal or a server-side API license.

Credentials should be stored in environment variables or a secrets management service, not embedded in code. Teams building regulated financial applications should review Bloomberg's API terms alongside their own compliance obligations. For organisations building out a compliant financial technology stack, starting a conversation with Scrums.com can accelerate architecture decisions in this space.