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Bloomberg has introduced customizable subscriptions to its Real-Time News Feeds, allowing clients to tailor content to specific companies, securities, and global macro themes. Powered by "tickerized" feeds, these enhancements deliver machine-readable news enriched with proprietary sentiment models, granular metadata, and advanced analytics directly into trading and risk workflows.
Quick Intel
Customizable Tickerized News Feeds for Precision
The updated Real-Time News Feeds allow clients to subscribe only to relevant news, eliminating the need to process irrelevant content. By mapping unstructured news to tradable securities through automated tagging, normalization, and quality controls—backed by human oversight—Bloomberg transforms headlines and stories into consistent, actionable data.
This targeted approach integrates seamlessly into automated market-making, event-driven, and quantitative trading strategies, reducing manual effort and accelerating decision-making in fast-moving markets.
Enriched Analytics and Insights
Bloomberg's suite combines comprehensive news coverage with proprietary analytics powered by deep learning models trained on Bloomberg News data. News Analytics delivers sentiment scores per story and Market Moving News indicators that predict short-term market impact probability.
The newly introduced News Insights provides aggregated, entity-level views to enable real-time monitoring. It highlights anomalies in news volume, identifies dominant themes, and tracks sentiment shifts over short periods—critical for risk management and systematic strategies.
Supporting Front-Office Workflows
"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," said Cory Albert, Global Head of Real-Time Data and Technology at Bloomberg. "Bloomberg's Real-Time News Feeds apply automated tagging, normalization, 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."
These enhancements strengthen Bloomberg's position in delivering trusted, high-quality inputs for data-driven trading and investment processes.
End-of-day versions of Textual News and News Analytics are accessible through Bloomberg Data License at data.bloomberg.com or via {DATA
About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The company helps connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration.
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