Bloomberg Upgrades Social Sentiment Analytics, Launches Twitter Feed

by Aziz Abdel-Qader
  • Bloomberg integrates Twitter feeds on the trader desktop since 2013.
Bloomberg Upgrades Social Sentiment Analytics, Launches Twitter Feed
Bloomberg
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Bloomberg has expanded its partnership with Twitter, launching a real-time feed of curated Twitter data, which further enhances its social sentiment Analytics and provide traders with an early heads-up on market-moving trending topics.

The firm believes the inclusion of 280-character missives will let investors keep their fingers on the market’s pulse without switching to another system.

Bloomberg integrates Twitter feeds on the trader desktop since 2013, providing users with tools to track companies on Twitter and look out for volume spikes by making sense of the over 500 million Tweets per day.

The updated offering is built on Bloomberg’s Natural Language Processing techniques and available through the company’s Event-Driven Feeds (EDF) product.

The Twitter EDF feed monitors the flow of tweets about a certain stock and triggers an alert whenever sentiment crosses a particular threshold. From there, quantitative traders can capitalize on Twitter’s influence through monitoring the overall volume of tweets and the mix of positive, negative and neutral comments.

Bruce Falck, Twitter’s Revenue Product Lead, commented: “We’re excited to expand our partnership with Bloomberg to deliver even more value from Twitter data for investment professionals. People come to Twitter for breaking news, and this new, real-time Twitter data feed gives finance professionals an increased ability to find meaningful and relevant news with the speed, quality, and accuracy they expect from Bloomberg.”

Tony McManus, Bloomberg Enterprise Data CIO, added: “Our customers tell us that Twitter data is a vital part of their information-driven trading strategies, helping them uncover early trends and changes in sentiment. Our Twitter EDF feed will help quantitative traders to capitalize on Twitter’s influence on the markets through constantly evolving curation methodologies. These include proprietary NLP modeling, coupled with Bloomberg’s reputation for data quality and the expertise of a world-class news organization.”

Bloomberg has expanded its partnership with Twitter, launching a real-time feed of curated Twitter data, which further enhances its social sentiment Analytics and provide traders with an early heads-up on market-moving trending topics.

The firm believes the inclusion of 280-character missives will let investors keep their fingers on the market’s pulse without switching to another system.

Bloomberg integrates Twitter feeds on the trader desktop since 2013, providing users with tools to track companies on Twitter and look out for volume spikes by making sense of the over 500 million Tweets per day.

The updated offering is built on Bloomberg’s Natural Language Processing techniques and available through the company’s Event-Driven Feeds (EDF) product.

The Twitter EDF feed monitors the flow of tweets about a certain stock and triggers an alert whenever sentiment crosses a particular threshold. From there, quantitative traders can capitalize on Twitter’s influence through monitoring the overall volume of tweets and the mix of positive, negative and neutral comments.

Bruce Falck, Twitter’s Revenue Product Lead, commented: “We’re excited to expand our partnership with Bloomberg to deliver even more value from Twitter data for investment professionals. People come to Twitter for breaking news, and this new, real-time Twitter data feed gives finance professionals an increased ability to find meaningful and relevant news with the speed, quality, and accuracy they expect from Bloomberg.”

Tony McManus, Bloomberg Enterprise Data CIO, added: “Our customers tell us that Twitter data is a vital part of their information-driven trading strategies, helping them uncover early trends and changes in sentiment. Our Twitter EDF feed will help quantitative traders to capitalize on Twitter’s influence on the markets through constantly evolving curation methodologies. These include proprietary NLP modeling, coupled with Bloomberg’s reputation for data quality and the expertise of a world-class news organization.”

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