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Bloomberg Expands Machine-Readable News Offering With Analytics

Bloomberg adds metrics such as most read Bloomberg-only stories and "news heat" — analysis of the most-written about companies and topics.

Bloomberg has further expanded its machine-readable news offerings with the launch of news analytics including metrics for its service, according to the company's release today.

The metrics include, Bloomberg-only readership data: The expanded service will include an analysis of the most read stories by Bloomberg terminal users, which include market participants from top global banks, investment firms and financial institutions, from its database of more-than 30,000 global news sources. This is a unique analysis of the stories Bloomberg terminal users think are most relevant in real time.

In addition, Bloomberg provides story flow " indicating the "news heat" or most written about companies and topics by analyzing more than 30,000 global news sources tracked by Bloomberg.

"These news metrics may cause a trader or investor to rethink or alter a strategy or trading approach," said Stefan Whitney of Bloomberg, in the company's release. "This valuable information, which is derived from Bloomberg's exhaustive database of news sources and its unique user base, may alert a market participant to a market-moving event. We believe our constituents will benefit from knowing about these spikes of interest in the news," added Whitney in the release.

Bloomberg's machine-readable news offering includes tracking of 20,000 economic indicators culled from government sources, press releases and websites. In addition, it tracks company announcements, rating changes and unpredictable events. Bloomberg analyzes text to extract key information—such as earnings and revenue figures from press releases in real-time — as well as to categorize text into easy-to-identify tags for topics, tickers and people. Machines can easily interpret the text, for example, to instruct an algorithm that a story is about a certain ticker with a particular relevance (i.e. IBM, at 90% relevance) or a particular topic (i.e. a credit downgrade at 100% relevance). These signals can be used to make trading decisions or set up predefined parameters and leverage Bloomberg's machine-readable text into actionable data. The feed is delivered in Bloomberg's proprietary B-Pipe format for easy integration, and is optimized for ultra-low latency, according to the company's release. Ivy is Editor-at-Large for Advanced Trading and Wall Street & Technology. Ivy is responsible for writing in-depth feature articles, daily blogs and news articles with a focus on automated trading in the capital markets. As an industry expert, Ivy has reported on a myriad ... View Full Bio

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