The market respects only one truth: volume.
Cantor Fitzgerald, the Wall Street behemoth with a network of roughly 3,000 institutional clients, just turned the Kalshi prediction market into a private club for hedge funds and family offices. Susquehanna is the designated market maker. The news, released quietly last week, signals that the staid world of event contracts has finally found a backdoor into institutional finance. But is this the dawn of a new asset class, or just another experiment in financial engineering that will fade when the hype cools?
Context: From Retail Sandbox to Institutional Playground
Kalshi is a CFTC-regulated designated contract market (DCM). That means every trade on Kalshi is legally binding, cleared, and settled within the same framework that governs corn futures or oil swaps. Until now, Kalshi’s user base was largely retail—small traders betting on inflation data, Federal Reserve decisions, or weather patterns. The platform has struggled to attract the kind of deep liquidity that makes markets efficient.
Cantor Fitzgerald’s move changes the game. By offering its institutional clients direct access to Kalshi through a brokerage wrapper, Cantor effectively bridges the gap between a niche FinTech platform and the trillion-dollar capital markets. The clients—hedge funds, family offices, and other qualified purchasers—can now trade contracts on everything from iPhone sales to crop yields without leaving their Bloomberg terminals. Susquehanna, one of the world’s largest proprietary trading firms, provides the liquidity and two-sided quotes.
Core: The Mechanics of an Institutional Prediction Market
Let’s dissect what this actually means for the market structure. Prediction markets have always suffered from a chicken-and-egg problem: without liquidity, no institutional trader will touch them; without institutional traders, no liquidity provider will commit capital. Cantor is solving this by acting as a matchmaker. The firm takes a large institutional order, negotiates the price privately with Susquehanna, and then books the trade onto Kalshi’s exchange. This is essentially a block trade mechanism applied to event contracts.
The contracts themselves are binary or multi-outcome instruments. They settle to $1 or $0 based on a real-world event. For example, a contract might pay $1 if Apple sells more than 240 million iPhones in fiscal 2025. A hedge fund that believes Apple will miss that number can buy the “no” contract at $0.40, risking $0.40 to make $0.60. This is a pure, unbounded bet on a specific outcome, with no counterparty risk beyond the clearinghouse.
What makes this different from traditional options or futures? The granularity. A prediction market can list a contract on any well-defined event. Cantor's Co-CEO explicitly mentioned that clients can propose new market themes. This is a radical departure from the rigid product set of traditional exchanges. If a hedge fund wants to hedge against the risk of a specific AI chip shortage, they can now buy a contract on "Nvidia delivers less than 500,000 H100 GPUs in Q3." That level of precision is impossible with standard index options.
I’ve seen this pattern before. In 2020, during the DeFi liquidity mining frenzy, I audited the order books of several decentralized exchanges. The same problem emerged: without designated market makers, spreads were wide and depth was nonexistent. The difference here is that Cantor and Susquehanna are providing real, committed capital. Based on my own experience analyzing market microstructure, the presence of a single large market maker is both a blessing and a curse. It ensures immediate liquidity, but it creates a single point of failure. If Susquehanna decides to pull back, the market will freeze.
Now, let’s talk about the types of contracts. The article mentions weather, crop yields, and company sales. That’s just the surface. The real value lies in macroeconomic and geopolitical events. Hedge funds are already using inflation swaps and interest rate options. Prediction markets offer a simpler, more transparent alternative. For example, a family office concerned about drought in California can buy a contract that pays out if the Palmer Drought Severity Index exceeds a certain threshold. This is a direct, non-correlated hedge that requires no derivatives expertise.
But there is a hidden cost: the binary nature of these contracts. Traditional options allow for nonlinear payoffs, which can be tailored to specific risk profiles. A prediction market contract pays either $1 or $0. This is a linear, all-or-nothing bet. Sophisticated investors will need to run a portfolio of such contracts to approximate a continuous payoff. That increases transaction costs and complexity.
Volume is the only truth the market respects. Without deep, continuous trading, these contracts will remain illiquid niche products. The initial focus on institutional clients might actually hurt liquidity. Institutional orders are large and infrequent. Retail traders, for all their faults, provide the constant churn that keeps bid-ask spreads tight. Cantor’s model essentially removes retail from the equation, relying entirely on a single market maker. That’s a fragile ecosystem.
Contrarian: The Unreported Blind Spots
Here’s what the press releases won’t tell you. The biggest risk isn’t regulatory—it’s operational. The manual process of negotiating large trades between Cantor, Kalshi, and Susquehanna introduces latency and human error. In a world where algorithms execute in microseconds, a 30-minute delay to confirm a block trade can lead to adverse price movements. This is the same problem that plagued the early days of exchange-traded funds.
Second, the political risk is real. The CFTC is currently under pressure from Congress to restrict prediction markets on election outcomes. If the regulatory pendulum swings against event contracts, the entire pipeline could be shut down. Cantor’s clients are sophisticated enough to understand this, but they may demand compensation for the regulatory tail risk.
Third, the market is chasing ghosts in the digital art auction house. Many of these event contracts have no fundamental anchor. What is the fair price of a contract on iPhone sales? It depends on a hundred variables. Pricing models are thin, and the market is prone to manipulation by a single large player. Susquehanna’s role as market maker gives them immense power to set the initial price. If they are wrong, they will lose money and pull back. We’ve seen this in the prediction market space before—Polymarket’s liquidity dried up after a few bad bets.
Leading the charge when the herd turns away is what separates the successful from the also-rans. Cantor is betting that prediction markets are the next frontier. But the herd is currently not turning away—they are turning toward. The real test will come when the first major default or settlement dispute occurs. That’s when the faucet runs dry, and the dryers crack.
Takeaway: What to Watch Next
Over the next six months, I will be tracking three signals. First, the number of market makers. If Susquehanna remains the sole liquidity provider, the risk is concentrated. Second, the volume of trades in non-gimmick contracts—things like CPI, Fed funds rate, or corporate earnings. If institutions only trade weather and crop yields, the market is a toy. Third, the regulatory response. If the CFTC issues a no-action letter or a formal endorsement, that’s the green light. If they start investigating Kalshi for potential manipulation, the game is over.
Prediction markets have been the future of finance for a decade. Cantor Fitzgerald just gave them a real chance to become the present. The question is: will the volume materialize, or will this be another ghost in the machine?