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

Recorded Webinar: High-Performance Networks & Low-Latency Connectivity for Trading

With financial markets becoming more complex and interconnected in today’s electronic trading environment, trading firms, exchanges, and infrastructure providers need to continually push the boundaries of network performance to stay ahead. Ultra-low latency, seamless connectivity, and resilient infrastructure are no longer just advantages – to stay competitive, they’re necessities. This webinar, part of the A-Team...

BLOG

Trading Technology Leaders in APAC Revealed in A-Team Insight’s 2025 Awards Introduction

A-Team Group is delighted to announce the winners of the inaugural Capital Markets Technology APAC Awards 2025, celebrating the leading solution providers and innovators shaping the future of trading in the Asia Pacific region. To coincide with the awards, we have also published our comprehensive annual report, “The State of Capital Markets Technology in Asia...

EVENT

AI in Capital Markets Summit London

Now in its 2nd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...