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Wall Street Leans Into Prediction Markets: ICE Clients Demand Polymarket Data

by Team Lumida
December 10, 2025
in Crypto
Reading Time: 4 mins read
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Morgan Stanley Q2 2024 Earnings Summary

"Morgan Stanley Headquarters (48105951892)" by Ajay Suresh from New York, NY, USA is licensed under CC BY 2.0

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Key Takeaways

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  • Intercontinental Exchange (ICE), owner of the NYSE, says roughly half of its ~10,000 institutional clients are interested in prediction-market data from Polymarket.
  • ICE is investing up to $2 billion in Polymarket (valuing it around $8 billion) and will redistribute its event-driven data to institutional users.
  • Clients want prediction markets as real-time sentiment indicators to inform positions in traditional assets like commodities and macro trades.
  • ICE also sees Polymarket as a technology and tokenization play, gaining access to DeFi-native engineers and infrastructure rather than just sports or political betting.

What Happened?

Intercontinental Exchange, the parent of the New York Stock Exchange, disclosed that more than half of its institutional clients are interested in accessing prediction-market data via its new partnership with crypto-based betting platform Polymarket. ICE earlier agreed to invest as much as $2 billion in Polymarket, valuing the company at around $8 billion, and will now distribute Polymarket’s event-driven market data—on elections, policy outcomes, and other real-world events—to its roughly 10,000 customers. According to CEO Jeff Sprecher, around 5,000 clients could use this data as an input alongside traditional markets such as oil, gas, and cocoa. ICE and Polymarket also agreed to collaborate on tokenization initiatives, with ICE emphasizing that the appeal is primarily about technology and engineering talent rather than gambling.

Why It Matters?

For investors, this marks a formalization of prediction markets as institutional signal infrastructure, not just speculative venues. Event markets that price probabilities on elections, policy decisions, and macro events can act as an additional sentiment and probability feed—complementing options markets, rates futures, and volatility indices. ICE’s move effectively legitimizes prediction markets as a data product that can influence positioning, hedging, and scenario analysis across asset classes. Strategically, ICE is also positioning itself at the intersection of tokenization, decentralized finance, and traditional market structure, gaining early exposure to infrastructure that could underpin future tradable products or new forms of data monetization. For crypto and DeFi, the deal signals a path from retail-centric wagering platforms to integration into the workflows of major institutional risk desks.

What’s Next?

Investors should watch how quickly Polymarket data is incorporated into trading models and risk frameworks, and whether ICE eventually packages this into indices, structured products, or overlays tied to event probabilities. Regulatory attitudes toward prediction markets will be a key variable, particularly as volumes around political events and macro outcomes grow. The partnership also sets a precedent: if ICE’s clients find tangible value in prediction-market data, other exchanges and data vendors may pursue similar deals with platforms like Kalshi or competing event markets, deepening the convergence between traditional finance and crypto-native infrastructure. Over time, rising institutional use could improve liquidity and price discovery in prediction markets themselves, making them increasingly relevant as leading indicators for macro and cross-asset positioning.

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Lumida's website (referred to herein as the "Website") is limited to the dissemination of general information pertaining to its advisory services, together with access to additional investment-related information, publications, and links. Accordingly, the publication of the Website on the Internet should not be construed by any client and/or prospective client Lumida’s solicitation to effect, or attempt to effect transactions in securities, or the rendering of personalized investment advice for compensation, over the Internet.

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