Bloomberg has enhanced its existing real-time news feeds offerings, by enabling customisable capabilities to deliver machine-readable news.
By delivering these capabilities, the firm aims to reduce manual processing for its clients, by directly integrating high-quality, targeted news inputs into trading and risk workflows, spanning automated market-making, event-driven and quantitative trading.
The new offerings, which are powered by ‘tickerised’ versions of the previous news feeds, are expected to allow clients to personalise their own news content from companies, securities and global macro themes selected by them, The TRADE understands.
In addition, the enhancements also integrate advanced analytics which make use of proprietary sentiment models and granular metadata tagging, which operates in real-time.
Speaking to The TRADE, Cory Albert, global head of real-time data and technology at Bloomberg, said: “The move toward “tickerised” news feeds represents a significant shift for the front office, moving from traditional consumption of a firehose of unstructured news data to continuous, machine-readable awareness of market events relevant to specific trading strategies in real time. By delivering news only for instruments that a user requests, Bloomberg is reducing the lift on the back end for traders who previously had to manually sift through broad global news feeds before they could be operationalised in their systematic strategies.
“For example, news insights could pre-empt a trader with information such as: news activity on an instrument of interest is higher than normal by a specific factor, the sentiment of the news is positive, and the normalised theme for the stories is mergers and acquisitions.”
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Bloomberg’s current real-time news feeds offering spans more than 175,000 web and social media sources, including news analytics, which covers story level company sentiment scores and market moving news indicators, as well as textual news, which includes more than 220,000 entities, 10,000 topics, and 660,000 people.
On top of this, the enhanced feeds also include news insights, which aim to support workflows such as risk monitoring and anomaly detection in systematic environments, by aggregating underlying news data at the entity level.
Albert added: “These actionable signals can be integrated directly into systematic workflows, and always tied back to their source stories. This enables traders to combine targeted, normalised news inputs and analytics they trust with event, market, and pricing data to support faster, more consistent investment decisions.”
