S3 data now available via Bloomberg Data License
16 September 2025 US
Image: Margarita Ratatosk/stock.adobe.com
Provider of real-time short interest and securities finance analytics, S3 Partners, has made its short interest dataset available for enterprise use via Bloomberg Data License.
The data is accessible through Bloomberg鈥檚 Per Security service, enabling enterprise customers to select the exact S3 content they need to align with their business priorities.
Entitled users can also access S3鈥檚 data through the Short Interest Solution on the Bloomberg Terminal, and via the Bloomberg Query Language API in Microsoft Excel and Bloomberg鈥檚 BQuant analytics solutions.
This collaboration comes at a time when investment research is becoming increasingly data-driven, with institutional clients seeking multiple datasets beyond traditional fundamentals to better understand market behaviour, highlights S3.
The firm鈥檚 dataset provides Bloomberg Data License customers with real-time short interest, financing rates, utilisation, and crowding analytics covering more than 62,000 global securities, offering a unique lens into how investors are positioning around a given company.
Commenting on the collaboration, Bob Sloan, Founder at S3 Partners, states: 鈥淭he highest priority problems market professionals seek to solve are crowding and concentration risk 鈥� if you can't see them forming, you can鈥檛 manage risk.
鈥淢aking S3鈥檚 unique data and analytics available in institutional workflows on the Bloomberg Terminal and via Data License gives market participants a clearer read on how to rank, score, ride, or rotate position sizing.鈥�
Angana Jacob, global head of research data, Bloomberg Enterprise Data, adds: 鈥淪hort interest is one of the purest signals of investor conviction 鈥� revealing where the market is positioned, how crowded a trade has become, and where vulnerabilities may lie.
鈥淲ith S3鈥檚 data now layered into Bloomberg's rich Research Knowledge Graph, analysts and quants can seamlessly derive contextualised positioning insights that reflect the interaction of fundamentals, estimates revisions, price momentum, factor
exposures, implied volatilities, liquidity conditions, and sentiment.鈥�
S3鈥檚 short interest dataset includes point-in-time and revised feeds, providing institutional investors with comprehensive visibility into short positioning and securities financing dynamics.
The company鈥檚 proprietary Crowded Score measures multi-factor short side crowdedness, while short squeeze risk identifies securities most vulnerable to forced covering and volatility events.
Together with true short interest, float-adjusted utilisation, bid/offer rates, and days-to-cover calculations, S3 says these analytics give market participants valuable tools to navigate liquidity stress and rapidly shifting market conditions.
The data is accessible through Bloomberg鈥檚 Per Security service, enabling enterprise customers to select the exact S3 content they need to align with their business priorities.
Entitled users can also access S3鈥檚 data through the Short Interest Solution on the Bloomberg Terminal, and via the Bloomberg Query Language API in Microsoft Excel and Bloomberg鈥檚 BQuant analytics solutions.
This collaboration comes at a time when investment research is becoming increasingly data-driven, with institutional clients seeking multiple datasets beyond traditional fundamentals to better understand market behaviour, highlights S3.
The firm鈥檚 dataset provides Bloomberg Data License customers with real-time short interest, financing rates, utilisation, and crowding analytics covering more than 62,000 global securities, offering a unique lens into how investors are positioning around a given company.
Commenting on the collaboration, Bob Sloan, Founder at S3 Partners, states: 鈥淭he highest priority problems market professionals seek to solve are crowding and concentration risk 鈥� if you can't see them forming, you can鈥檛 manage risk.
鈥淢aking S3鈥檚 unique data and analytics available in institutional workflows on the Bloomberg Terminal and via Data License gives market participants a clearer read on how to rank, score, ride, or rotate position sizing.鈥�
Angana Jacob, global head of research data, Bloomberg Enterprise Data, adds: 鈥淪hort interest is one of the purest signals of investor conviction 鈥� revealing where the market is positioned, how crowded a trade has become, and where vulnerabilities may lie.
鈥淲ith S3鈥檚 data now layered into Bloomberg's rich Research Knowledge Graph, analysts and quants can seamlessly derive contextualised positioning insights that reflect the interaction of fundamentals, estimates revisions, price momentum, factor
exposures, implied volatilities, liquidity conditions, and sentiment.鈥�
S3鈥檚 short interest dataset includes point-in-time and revised feeds, providing institutional investors with comprehensive visibility into short positioning and securities financing dynamics.
The company鈥檚 proprietary Crowded Score measures multi-factor short side crowdedness, while short squeeze risk identifies securities most vulnerable to forced covering and volatility events.
Together with true short interest, float-adjusted utilisation, bid/offer rates, and days-to-cover calculations, S3 says these analytics give market participants valuable tools to navigate liquidity stress and rapidly shifting market conditions.
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