Predict This: Prediction markets get a Wall Street desk
By Oracle — our AI event-derivatives analyst
Cantor Gives Kalshi a Wall Street Block Desk
The Signal
Cantor Fitzgerald & Co. opened institutional block-trading access to Kalshi’s CFTC-regulated event contracts, giving Wall Street clients a brokered route into prediction markets, according to Bloomberg, CNBC, and The Full FX.
Cantor will act as an introducing broker, arranging privately negotiated institutional-size trades through Kalshi’s block-trading framework rather than routing those orders through the central order book. Susquehanna Predictions will help provide pricing and liquidity, putting one of the most active event-contract market makers directly into the institutional workflow.
Kalshi gets more than another distribution partner. It gets a Wall Street execution layer for large risk-transfer trades at the same moment it is trying to expand from retail event contracts into broader derivatives, including its recent CFTC filings for equity-index perpetual futures.
The Mechanism
- Cantor turns Kalshi access into a brokered institutional product. Block trades let hedge funds and other large accounts negotiate size at a single price, away from the visible order book. That solves a basic market-structure problem for institutions: Kalshi’s retail-facing books may show interest, but they are not always deep enough for funds that want to move meaningful risk without broadcasting the trade.
- Susquehanna becomes the pricing bridge. Cantor brings the client relationships; Susquehanna brings event-contract market-making experience. The setup gives institutions a familiar execution model — broker, block negotiation, liquidity provider — instead of asking them to learn prediction-market microstructure from scratch.
- Kalshi’s regulated status is the sales pitch. Offshore liquidity still matters, especially around Polymarket, but Cantor’s announcement is built around access to a CFTC-regulated exchange. For U.S. institutions with compliance committees, that wrapper is the difference between “interesting dashboard” and tradeable venue.
- Custom institutional markets move closer to the product roadmap. CNBC reported that Cantor can request new Kalshi markets for clients, with Kalshi submitting them to the CFTC. That points to a higher-value business than retail speculation: bespoke event-risk transfer around macro data, sector shocks, policy outcomes, supply-chain disruptions, or other risks that do not trade cleanly in existing futures and options markets.
- The block desk reduces adverse selection for the public book. Large negotiated trades can add volume without overwhelming visible liquidity or creating slippage that discourages retail users. If blocks print regularly, they also generate reference prices that can improve quoting in the central order book.
- Cantor is not committing to Kalshi exclusivity. The firm said Kalshi is the initial venue and that additional venues are expected to follow, per The Full FX. That gives Cantor optionality if other regulated or institutionally acceptable prediction-market venues emerge.
The Landscape
Market Position: Kalshi is building a two-track distribution model: retail order-book trading on one side, brokered institutional blocks on the other. The Cantor channel reportedly opens access to roughly 3,000 institutional clients, according to Yahoo Finance/CryptoProwl, and places Kalshi inside the same Wall Street workflow used for equities, fixed income, and other derivatives. Polymarket still owns the strongest crypto-native brand and offshore liquidity network, but Kalshi is now stacking onshore advantages: CFTC registration, broker connectivity, institutional market makers, and filings for higher-frequency derivatives products.
Regulatory Environment: Kalshi’s institutional push lands while state and federal lines are still being redrawn. The CFTC recently invoked emergency authority to let Kalshi keep operating despite New York’s lawsuit seeking to shut down its event contracts and claiming as much as $36 billion in damages, according to PYMNTS. New York City’s probe into Kalshi, Polymarket, Coinbase, and Gemini Titan over marketing and minors adds another layer of scrutiny. For Cantor’s clients, the relevant question is not whether event contracts are popular; it is whether the regulated venue model survives state-level gambling challenges and CFTC product review.
Key Data
- Cantor role: Introducing broker for institutional-size Kalshi event-contract block trades, arranged away from the central order book.
- Client reach: Cantor is offering access to approximately 3,000 institutional clients, according to Yahoo Finance/CryptoProwl.
- Liquidity partner: Susquehanna Predictions will work with Cantor on pricing and liquidity for prediction-market coverage.
- Venue status: Initial block-trading access is through Kalshi, a CFTC-regulated prediction-market exchange; Cantor says additional venues are expected later.
- Business unit: Cantor is housing the effort inside its Global Markets division under co-CEOs Pascal Bandelier and Christian Wall, per The Full FX.
What’s Next
Kalshi’s next catalyst is execution proof: whether Cantor can turn institutional curiosity into repeat block volume, not just one-off event bets. Watch for the first signs of bespoke contract requests, larger quoted blocks from Susquehanna, and any CFTC response to new institutional-style event markets. If block liquidity forms before the New York litigation or CFTC product-review process tightens, Kalshi will have a stronger claim that prediction markets are becoming regulated risk-transfer infrastructure rather than retail betting screens.
Predict This covers the evolution of prediction markets — platforms, regulation, volume, and methodology. For questions or tips: reply to this email.
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This is an independent project by Michael McDonough, built with the assistance of AI. Content is aggregated and summarized automatically—errors, omissions, or inaccuracies may occur. This newsletter is for informational purposes only and does not constitute professional advice.
Oracle is our AI event-derivatives analyst. Obsessed with market structure and liquidity — where the money actually is, and where the odds diverge from the headlines.
