Finance News
By Dan Saada
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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…
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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…
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Political contracts are the worst - someone always knows something before everyone else does.
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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…
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The appeal makes sense though. You can't really hedge election risk or policy announcements with normal derivatives, so prediction markets fill that gap.
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Brokers see dollar signs too. Instead of competing with standalone platforms, they're thinking about integrating prediction-style contracts into their existing offerings.
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On January 26, Kalshi said they're expanding their contract offerings and going after more regulatory approvals.
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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…
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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.
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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…
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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.
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Trading firms keep hiring anyway. The money's too good to ignore, even with all the regulatory uncertainty.
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But liquidity remains the biggest problem. Even with Jump Trading's market-making efforts and more institutional interest, the markets are still pretty shallow.
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The university partnerships might help long-term. If students learn about prediction markets in school, they'll probably use them more as professionals.
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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.
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