Prediction Markets Build Wall Street-Style Infrastructure to Attract Hedge Funds

Wednesday, 27/05/2026 | 16:00 GMT by Tanya Chepkova
  • Macro hedge funds, prime brokers, and market makers are increasingly treating prediction markets as a new institutional trading and hedging venue.
  • Firms including Clear Street, Marex, and Tradeweb are building the infrastructure needed to connect professional investors to event-based markets at scale.
Wall Street

Event trading is following the same path as crypto derivatives, evolving from a retail niche into a serious business for hedge funds. Major market makers and prime brokers are already building the infrastructure for a larger institutional push into the sector.

Prediction markets are developing the same institutional infrastructure that helped crypto derivatives expand beyond retail trading into a Wall Street trading business.

Part of that shift is coming from growing institutional activity, particularly among macro hedge funds looking for more targeted ways to trade specific events and risks.

Kalshi said its institutional trading volume grew 800% over the past six months, while annualized platform volume more than tripled to $178 billion.

"We're seeing much more institutional interest in hedging the next few months," said Andy Ross, Kalshi's head of institutional business, told Reuters. "We're in the foothills of this, but we're climbing pretty fast."

The Infrastructure Race

Prime brokers and trading venues are starting to integrate prediction markets into existing institutional trading workflows.

Clear Street has partnered with Kalshi to give hedge funds direct access to event contracts. Marex Group is building the technical infrastructure to link professional investors to both Kalshi and Polymarket. Tradeweb Markets took a minority stake in Kalshi to embed prediction markets into its institutional client workflows.

Marex Solutions has already gone a step further, structuring a capped $10 million note for a Swiss client tied to a prediction market outcome on Nvidia's market capitalisation. That's a useful proof of concept for how brokers can package binary risk into familiar instruments.

Liquidity Constraints and Who's Moving In

Top markets on platforms like Polymarket usually have around $30 million in liquidity, meaning a multi-million dollar trade can move prices sharply. Hedge funds generally want at least $10 million in daily notional volume before routing consistent flow through a venue.

Large pricing gaps are attracting professional trading firms. Susquehanna International Group, Jump Trading, and AQR Capital Management are building dedicated prediction market desks for arbitrage and market-making strategies.

Citadel Securities has indicated it is seriously considering entering as an institutional liquidity provider, describing the asset class as having "sound industrial logic."

Retail volume establishes the market, infrastructure gaps attract quants, quants attract prime brokers, and the cycle compresses spreads. Prediction markets appear to be somewhere in the middle of that sequence.

Event trading is following the same path as crypto derivatives, evolving from a retail niche into a serious business for hedge funds. Major market makers and prime brokers are already building the infrastructure for a larger institutional push into the sector.

Prediction markets are developing the same institutional infrastructure that helped crypto derivatives expand beyond retail trading into a Wall Street trading business.

Part of that shift is coming from growing institutional activity, particularly among macro hedge funds looking for more targeted ways to trade specific events and risks.

Kalshi said its institutional trading volume grew 800% over the past six months, while annualized platform volume more than tripled to $178 billion.

"We're seeing much more institutional interest in hedging the next few months," said Andy Ross, Kalshi's head of institutional business, told Reuters. "We're in the foothills of this, but we're climbing pretty fast."

The Infrastructure Race

Prime brokers and trading venues are starting to integrate prediction markets into existing institutional trading workflows.

Clear Street has partnered with Kalshi to give hedge funds direct access to event contracts. Marex Group is building the technical infrastructure to link professional investors to both Kalshi and Polymarket. Tradeweb Markets took a minority stake in Kalshi to embed prediction markets into its institutional client workflows.

Marex Solutions has already gone a step further, structuring a capped $10 million note for a Swiss client tied to a prediction market outcome on Nvidia's market capitalisation. That's a useful proof of concept for how brokers can package binary risk into familiar instruments.

Liquidity Constraints and Who's Moving In

Top markets on platforms like Polymarket usually have around $30 million in liquidity, meaning a multi-million dollar trade can move prices sharply. Hedge funds generally want at least $10 million in daily notional volume before routing consistent flow through a venue.

Large pricing gaps are attracting professional trading firms. Susquehanna International Group, Jump Trading, and AQR Capital Management are building dedicated prediction market desks for arbitrage and market-making strategies.

Citadel Securities has indicated it is seriously considering entering as an institutional liquidity provider, describing the asset class as having "sound industrial logic."

Retail volume establishes the market, infrastructure gaps attract quants, quants attract prime brokers, and the cycle compresses spreads. Prediction markets appear to be somewhere in the middle of that sequence.

About the Author: Tanya Chepkova
Tanya Chepkova
  • 221 Articles
About the Author: Tanya Chepkova
Tanya Chepkova is a News Editor at Finance Magnates with more than 16 years of experience in financial journalism, covering forex, crypto, and digital asset markets. Her work spans daily industry reporting and data-driven, long-form explainers focused on market structure, trading models, and regulatory shifts. Before joining Finance Magnates, she led the editorial team of a cryptocurrency-focused media outlet for six years. Her reporting combines analytical depth with clear storytelling, with particular attention to how structural changes in trading, stablecoin infrastructure, and emerging products such as prediction markets reshape the broader financial ecosystem. She covers global developments and provides additional insight into CIS markets. Areas of Coverage: Crypto and digital asset markets Prediction markets Stablecoins and cross-border payments Industry analysis and long-form explainers
  • 221 Articles

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