About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

S3 Partners and Boosted.ai Collaborate to Enable Smart Hedging for Institutional Investors

Subscribe to our newsletter

S3 Partners, the financial data marketplace and workflow platform, has formed a strategic partnership with Boosted.ai, the distributed machine learning platform for global investment professionals.

Under the new partnership, data from S3 BLACK App and S3 Blackwire OMS will be natively available through the Boosted Insights platform, for immediate use by Boosted.ai clients. This will enable asset managers to create smart hedges and ensure actionable trades, by using advanced machine learning for data-driven hedging. The partnership follows the launch of Hedge Baskets by Boosted.ai, which enables investors to generate custom short baskets to suit their individual hedging requirements.

Joshua Pantony, Co-Founder and CEO of Boosted.ai, describes how the combination of S3 & Boosted.ai can add unique value to institutional investors when hedging a portfolio or a stock position. “If you only had S3, you would be able to see the universe of stocks that you could hedge against, but not necessarily the specific stocks that you want to hedge,” he says. “And if you only had Boosted.ai, you might be able to get a hedge basket but there’s no guarantee that the basket is going to have the borrow availability for shorting, or that the borrow interest is going to be viable for your execution. But by combining them together, we can now create a very targeted basket of stocks and by layering in S3 data, we can also guarantee that that entire basket is 100% executable.”

Commenting on the partnership, Bob Sloan, Managing Partner and CEO of S3 Partners said: “Our constant goal is to make the world’s best sentiment and market positioning data available wherever investors are. With Boosted Insights and Hedge Baskets, Boosted.ai has developed a platform that the world’s most sophisticated institutional investors can use to improve their long and short positions through machine learning. The addition of S3 data further improves those outputs – reveal herd risk, sources of unexpected volatility and ensuring that the machine’s recommendations work well in practice.”

The partnership with Boosted.ai further expands S3’s roster of distribution partners, which includes Bloomberg, Snowflake, AWS, FactSet, Refinitiv and LiquidityBook.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Agility as Alpha: How Trading Infrastructure Determines Who Wins in Volatile Markets

Date: 21 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Tariff shocks, geopolitical realignment and macroeconomic regime shifts are redrawing the investment landscape faster than most firms’ technology stacks can keep up. For hedge funds and asset managers, the ability to move quickly into new asset classes, geographies or...

BLOG

Implementing Events-based Trading and Prediction Markets

By Jon Light, Senior Director of Product Management at Devexperts. The current surging interest in prediction markets is leading to a general reevaluation of this type of trading, with many financial services firms now questioning whether to offer events-based trading to their own users. To date, several high-profile firms have moved to incorporate prediction markets...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Practical Applications of the Global LEI – Client On-Boarding and Beyond

The time for talking is over. The time for action is now. A bit melodramatic, perhaps, but given last month’s official launch of the global legal entity identifier (LEI) standard, practitioners are rolling up their sleeves and getting on with figuring out how to incorporate the new identifier into their customer and entity data infrastructures....