The agency responsible for policing prediction markets has lost a quarter of its workforce. Meanwhile, the industry just crossed $60 billion in trades this year. Brazil banned every prediction market platform overnight. And the economist who invented the theoretical framework behind prediction markets argues that the insider trading everyone is panicking about is actually the entire point. Welcome to the most confusing week in the industry's short history.
The Commodity Futures Trading Commission -- the federal agency that regulates prediction markets -- has shrunk to its smallest size in 15 years. Workforce is down 24% since January 2025. That's not attrition. That's a policy choice.
This is happening precisely as the agency's jurisdiction has become the most contested terrain in financial regulation. More than two dozen state-level lawsuits allege that Polymarket and Kalshi are unlicensed gambling operations. Three states tried to ban the platforms outright last week; the DOJ sued all three, arguing federal preemption. The CFTC is supposed to referee this fight. It now has fewer referees than at any point since 2011.
The volume numbers make the staffing collapse almost comical. Kalshi and Polymarket have processed $60 billion in trades so far in 2026. In March alone, Kalshi handled $13 billion and Polymarket roughly $10 billion. For context, the entire CFTC-regulated prediction market had less than $1 billion in annual volume as recently as 2023. We're talking about a 60x increase in three years with a 24% decrease in oversight capacity.
The practical result: enforcement is reactive rather than proactive. The DOJ's prosecution of the Fort Bragg soldier who made $400K from classified intelligence about the Maduro capture happened because the trade was so egregious it couldn't be ignored. But the Washington Post editorial board pointed out this week that there's essentially no surveillance infrastructure for prediction market manipulation. The CFTC doesn't have the tools, and now it doesn't have the people.
Our take: Underfunding the regulator is short-term bullish and long-term dangerous. Right now, it means platforms operate with minimal oversight -- good for innovation, bad for legitimacy. The risk is that a major scandal forces Congress to overcorrect. A well-funded CFTC writing reasonable rules would have been the best outcome for the industry. A gutted CFTC followed by a crisis-driven congressional crackdown would be the worst.
Brazil became the first major economy to ban prediction market platforms entirely. As of today, Polymarket, Kalshi, and 27 other platforms are blocked in the country. The Brazilian government classified all of them as illegal betting operations.
This isn't a small market. Brazil has the fifth-largest internet population globally and a massive sports betting culture. Polymarket had meaningful traffic from Brazilian users. That's gone overnight.
The contrast with the US approach is instructive. Washington is arguing over who gets to regulate prediction markets -- states or the feds. Brazil skipped that debate and went straight to prohibition. The question for the industry is whether other countries follow Brazil's lead. India and China already restrict these platforms. If the EU's MiCA framework gets extended to cover prediction markets (there's been discussion), you'd have the three largest non-US economic blocs all restricting access.
Our take: Brazil's ban is a setback for global market depth but reinforces the US as the center of gravity. If you're building in this space, your regulatory strategy is now a US-first strategy by default. The irony: the country with the shrinking regulator is the most permissive market left.
Fortune published a remarkable interview this week with Robin Hanson, the George Mason economist whose 1990s work essentially invented the theoretical framework for prediction markets. His argument: the insider trading that everyone is panicking about is exactly what makes prediction markets valuable.
The logic runs like this. Prediction markets are supposed to aggregate dispersed information into accurate prices. The more information that flows into the market, the more accurate the price signal. When a soldier bets on a military operation he has classified knowledge about, or when a politician bets on legislation she knows will pass, that information moves the price closer to truth. The market becomes more accurate, not less.
This is genuinely provocative. Traditional securities markets ban insider trading because it erodes trust in the market as a level playing field. Hanson's counterargument is that prediction markets aren't supposed to be fair -- they're supposed to be accurate. They're information machines, not equity instruments. Fairness is the wrong frame.
The problem with Hanson's argument is that it ignores incentives. If the soldier knows he can profit from classified intelligence, does that change his behavior? Does a politician vote differently if she can trade on the outcome? The theoretical framework is clean. The human incentive problems are not.
Our take: Hanson is directionally right and practically wrong. In a frictionless theory, insider information makes markets more efficient. In the real world, it creates perverse incentives that undermine both the markets and the institutions feeding them information. The right answer is the one Kalshi is already implementing: ban the trades that create bad incentives (politicians on their own races), allow the rest. Don't let the perfect theoretical model kill the politically viable one.
Iran's parliament speaker Mohammad Bagher Ghalibaf said this week that "reopening the Strait of Hormuz is impossible as long as the US blockade is in place." That's the most definitive statement from a senior Iranian official since the crisis began.
The military situation has only hardened. An Iranian gunboat attacked the Greek cargo ship Epaminondas off Oman's coast on April 22, firing guns and rocket-propelled grenades despite previously clearing the vessel to transit. Ship traffic remains at roughly 5 vessels per day versus 140 pre-crisis. Bloomberg described the situation as "maritime trench warfare." Goldman Sachs published scenario analysis ranging from "sloppy peace" (months away) to "permanent rerouting" (years).
The prediction markets reflect deepening pessimism:
The key question for May is whether the diplomatic track produces anything before the month ends. The Islamabad Round 2 talks are tentatively scheduled but Iran's attendance remains uncertain. Our assessment: 37.5% for May is reasonable at the lower end, but the structural dynamics (dual blockade, "impossible" rhetoric, hardening positions) favor NO.
Portfolio impact: April is locked in. The April NO position will close at roughly +60.6% when it resolves on April 30. May NO is up 104.8%, down slightly from the +111.3% peak but still our strongest performer. Holding both.
We built something this week. We pulled 7,661 resolved binary markets from Polymarket's API and computed full calibration curves -- testing whether a market trading at 60% actually resolves YES 60% of the time.
The key findings:
You can explore the data yourself with our interactive tool at polymarket-calibration.vercel.app. Filter by category, time horizon, and explore the full dataset of 7,661 markets.
Why this matters: The calibration data gives the insider trading debate empirical grounding. Hanson's argument is that information flow (even from insiders) makes prices more accurate. Our data shows the prices are highly accurate. The question isn't whether prediction markets work -- they do. The question is whether the methods used to achieve that accuracy create unacceptable incentives. The data can't answer that. Policy has to.
| Position | Entry | Current | P&L |
|---|---|---|---|
| Hormuz April NO | YES 38% | YES 0.4% | +60.6% |
| Hormuz May NO | YES 69.5% | YES 37.5% | +104.8% |
| Cash reserve | $200 | $200 | -- |
| Total | $1,000 | $1,617 | +61.7% |
Week 1 scorecard: This portfolio is seven days old. The $1,000 starting capital is now $1,617, driven entirely by two directional calls on Hormuz normalization. April will resolve in three days. May has 34 days to go.
Next trade watch: June NO. If May resolves NO, the June market (currently 60% YES) becomes the next opportunity. A blockade that survives May doesn't disappear in June. We're watching but not yet positioned.
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