Bloomberg Introduces Customisable News

Bloomberg has introduced the ability for users to customise their subscriptions to the firm’s news feeds, which it says delivers machine-readable news content with analytics that are enhanced by proprietary sentiment models and granular metadata tagging.

The new capabilities are focused on “tickerised” versions of the news feeds, enabling clients to subscribe to news about the companies, securities and global macro themes they care about. This fit-for-purpose approach reduces manual processing and allows firms to integrate targeted news inputs directly into their trading and risk workflows (including automated market-making, event-driven and quantitative trading), Bloomberg says.

The new suite also introduces News Insights, which aggregates underlying news data at the entity level to directly support workflows such as risk monitoring and anomaly detection in systematic environments. These help to highlight unusual events surrounding an entity; provide the major themes for a given entity; and provide a measure of how positive or negative news has been, over a short period of time, for a specific entity.

“With an increased focus on macroeconomics in today’s fast-moving and volatile markets, the front office needs real-time data and analytics they can trust without sifting through millions of headlines,” says Cory Albert, global head of real-time data and technology at Bloomberg. “Bloomberg’s Real-Time News Feeds apply automated tagging, normalisation, and quality controls, supported by human oversight, to map unstructured news directly to tradable securities. By transforming stories and headlines into consistent, machine-readable data and analytics delivered alongside event, market, and pricing content, we enable clients to power applications and models with actionable insights that support faster, more systematic investment decisions.”