Prediction Markets Hit Volume Records Despite Regulatory Mess

Prediction markets are exploding. Trading volumes jumped as big Wall Street firms pile in, but the regulatory chaos keeps getting worse and nobody seems to know what’s legal anymore.

The mess starts with who’s actually in charge here. The CFTC wants to treat prediction contracts like derivatives under the Commodity Exchange Act, which means tons of paperwork and compliance headaches. But then state gambling regulators jump in and say “wait, that’s basically just betting without a license.” So you’ve got Kalshi running around getting specific approvals for each contract type while most other platforms just set up shop offshore or operate in some weird legal gray zone. Big institutions won’t touch this stuff because they can’t figure out if they’re breaking the law.

Insider trading is brutal.

Political contracts are the worst – someone always knows something before everyone else does. Corporate event betting isn’t much better since executives and their buddies have all the good info first. And don’t get me started on liquidity problems. Sure, volumes are up, but the order books are still pretty thin so prices swing wild and you can’t really put on big positions without moving the market.

But here’s the thing – serious trading shops are building desks anyway. DRW, Susquehanna, Jump Trading, they’re all hiring people specifically for prediction markets because the pricing is so screwed up there’s money to be made. These guys see the fragmentation and liquidity gaps as opportunities, not problems. Jump Trading already started market-making with their algorithms and it’s working pretty well so far.

The appeal makes sense though. You can’t really hedge election risk or policy announcements with normal derivatives, so prediction markets fill that gap. Institutional investors like the probability-weighted exposure – it’s a clean way to bet on discrete outcomes without getting into complex structured products.

Brokers see dollar signs too. Instead of competing with standalone platforms, they’re thinking about integrating prediction-style contracts into their existing offerings. Maybe CFDs tied to economic data releases or benchmark outcomes, stuff like that. But they need serious compliance and market abuse controls first.

On January 26, Kalshi said they’re expanding their contract offerings and going after more regulatory approvals. They want to fix the legal uncertainty that’s keeping institutions away. The company’s been meeting with state regulators since late 2025, trying to explain why their contracts aren’t gambling. It’s basically PowerPoint presentations to bureaucrats explaining the “analytical components” of betting on elections.

PredictIt took a different approach. They’re partnering with hedge funds to create custom contracts for economic indicators, plus they launched university partnerships in January 2026. The academic angle is smart – get prediction markets into econ and poli-sci classes so the next generation grows up thinking this is normal.

Jump Trading’s tech push is interesting. They built proprietary software with machine learning to predict market movements better, which should bring in more liquidity providers. The firm thinks better algorithms will stabilize prices and attract bigger players.

The CFTC dropped a consultation on January 24 about amending the Commodity Exchange Act. They want to redefine how prediction contracts get classified, which could change everything. Industry people are watching this closely because it might actually clarify what’s legal and what isn’t.

State regulators are still confused though. Some states treat prediction markets like illegal gambling, others don’t care, and a few are trying to figure out licensing frameworks. The patchwork of rules makes it impossible for platforms to scale nationally without legal headaches.

Trading firms keep hiring anyway. The money’s too good to ignore, even with all the regulatory uncertainty. They’re basically betting that regulators will eventually sort this out and create clearer rules.

But liquidity remains the biggest problem. Even with Jump Trading’s market-making efforts and more institutional interest, the markets are still pretty shallow. You can’t really use them for serious hedging until there’s more depth in the order books.

The university partnerships might help long-term. If students learn about prediction markets in school, they’ll probably use them more as professionals. PredictIt’s betting on this generational shift to build a bigger user base.

Kalshi’s regulatory strategy seems to be working slowly. They’re getting more contract approvals, which should attract institutional money that’s been sitting on the sidelines. But the process is painfully slow and expensive.

Jump Trading reported decent results from their initial market-making push. Better liquidity means tighter spreads, which brings in more traders. It’s a virtuous cycle if it keeps working.