PREDICTWIRE · LIVEGavin Newsom win the 2028 Democratic presidential nomination: 28% ▲ 0.4Atletico Madrid win the 2025–26 Champions League: 12% ▼ 0.2the San Antonio Spurs win the 2026 NBA Finals: 15% ▲ 0.1Iran x Israel/US conflict ends by April 7: 87% ▲ 0.8Gavin Newsom win the 2028 US Presidential Election: 17%Netherlands win the 2026 FIFA World Cup: 3% ▼ 0.1the Colorado Avalanche win the 2026 NHL Stanley Cup: 23% ▲ 1.1J.D. Vance win the 2028 Republican presidential nomination: 39% ▲ 0.8the U.S. invade Iran before 2027: 30% ▼ 2.0PREDICTWIRE · LIVEGavin Newsom win the 2028 Democratic presidential nomination: 28% ▲ 0.4Atletico Madrid win the 2025–26 Champions League: 12% ▼ 0.2the San Antonio Spurs win the 2026 NBA Finals: 15% ▲ 0.1Iran x Israel/US conflict ends by April 7: 87% ▲ 0.8Gavin Newsom win the 2028 US Presidential Election: 17%Netherlands win the 2026 FIFA World Cup: 3% ▼ 0.1the Colorado Avalanche win the 2026 NHL Stanley Cup: 23% ▲ 1.1J.D. Vance win the 2028 Republican presidential nomination: 39% ▲ 0.8the U.S. invade Iran before 2027: 30% ▼ 2.0

The History of Prediction Markets: From Iowa to Kalshi

Prediction markets have evolved from an obscure academic experiment at the University of Iowa in the late 1980s into a multibillion-dollar industry anchored by regulated giants like Kalshi and crypto-native platforms like Polymarket. Along the way, these markets have forecast presidential elections more accurately than polling, moved Fed rate expectations ahead of economists, and transformed how traders, journalists, and policymakers measure uncertainty. This is the full story of how we got here.

The Iowa Electronic Markets: Where It All Began

The modern prediction market era started in 1988 at the University of Iowa Tippie College of Business. A group of professors, including Robert Forsythe, Forrest Nelson, and George Neumann, launched the Iowa Electronic Markets (IEM) as a research project to test whether real-money trading could aggregate information more accurately than polls.

The IEM received a no-action letter from the Commodity Futures Trading Commission (CFTC) that allowed limited-stakes trading on political and economic outcomes, capped at $500 per account. In the 1988 presidential race, IEM traders predicted George H.W. Bush’s margin of victory within a fraction of a percentage point, outperforming most national polling firms. That result turned IEM into the proof-of-concept that would inspire every platform that followed.

Intrade and the First Golden Age

The next major leap arrived in 1999, when Irish entrepreneur John Delaney launched Tradesports, which spun off Intrade in 2003. Intrade became the first large-scale, publicly accessible prediction market, offering contracts on elections, Oscar winners, Supreme Court decisions, and even hurricane landfalls.

By the 2008 election cycle, Intrade had become required reading for political analysts. Nate Silver cited it, cable news anchors quoted its odds, and the platform routinely called races weeks before pollsters felt confident. At its peak, Intrade processed millions of dollars per month and hosted hundreds of thousands of contracts.

The party ended in 2012. The CFTC sued Intrade for allowing US customers to trade options on economic events without proper registration. Combined with a financial scandal involving the late John Delaney’s estate, the platform collapsed in 2013, leaving customer funds frozen and the industry temporarily leaderless.

The Dark Years and the Rise of PredictIt

Between Intrade’s collapse and the next wave of regulated platforms, prediction markets largely retreated to academic settings and offshore gray zones. PredictIt, launched in 2014 by Victoria University of Wellington in partnership with Aristotle International, became the primary US option. Operating under its own CFTC no-action letter, PredictIt offered political contracts with an $850-per-contract cap and a limit of 5,000 traders per market.

PredictIt was never designed for scale. Its narrow caps and academic framing kept volumes small, but the platform preserved the practice of real-money political forecasting through nearly a decade when alternatives were effectively illegal in the United States. In 2022, the CFTC moved to shut it down, triggering a legal battle that eventually allowed PredictIt to continue operating in a reduced form while the industry’s center of gravity shifted elsewhere.

Polymarket, Crypto, and the Offshore Explosion

In 2020, a new generation of prediction markets emerged, built not on CFTC no-action letters but on blockchain rails. Polymarket, founded by Shayne Coplan, launched on the Polygon network and used USDC stablecoin for settlement. Because the platform operated as a decentralized protocol, it initially sidestepped the regulatory barriers that had choked earlier markets.

Polymarket exploded during the 2024 US presidential election, with contracts on the Trump vs. Harris race reaching north of $3 billion in trading volume. For the first time since Intrade, mainstream media regularly cited prediction market odds. The CFTC fined Polymarket $1.4 million in 2022 for serving US customers without registration, and the platform geo-blocked US users, though a widely-known workaround via VPNs persisted.

In 2025, Polymarket announced plans to re-enter the US market legally through the acquisition of a regulated derivatives exchange, closing one chapter and opening another.

Kalshi and the Regulated US Breakthrough

The decisive turning point came from an entirely different direction. Kalshi, founded in 2018 by MIT graduates Tarek Mansour and Luana Lopes Lara, took the opposite approach from Polymarket. Instead of operating offshore, Kalshi spent four years working directly with the CFTC to become a Designated Contract Market (DCM) — the first fully regulated event-contract exchange in US history.

Kalshi launched to the public in 2021 with contracts on economic indicators, weather, and cultural events. The real breakthrough came in October 2024, when a federal court ruled in Kalshi’s favor against the CFTC, allowing the platform to offer political contracts on US elections. Volume on the 2024 presidential race crossed $200 million, and Kalshi became the first legal, regulated US venue for political event trading in generations.

The Industry Today: A Quick Comparison

Platform Founded Jurisdiction Settlement Primary Focus
Iowa Electronic Markets 1988 US (academic) USD Research, politics
Intrade 2003 Ireland USD Everything (defunct 2013)
PredictIt 2014 US (academic) USD Politics (capped)
Polymarket 2020 Global (crypto) USDC Politics, culture, crypto
Kalshi 2021 US (regulated) USD Politics, economics, sports

Why This History Matters

The arc from Iowa to Kalshi is not just a founder’s story. It reflects three decades of regulatory experimentation, academic validation, and technological reinvention. Each generation of platforms solved a problem the previous one could not: IEM proved the concept, Intrade proved the demand, PredictIt proved the staying power, Polymarket proved the scale, and Kalshi proved that regulated prediction markets could coexist with traditional derivatives.

Today, prediction markets are quoted on CNBC alongside stock prices, cited by the Federal Reserve in internal reports, and used by hedge funds as alternative data. The field has matured from a 1988 experiment with $500 account caps into an industry attracting institutional capital, retail traders, and professional journalists alike.

Where to Trade in 2026

If you want to participate in this history yourself, the two platforms that matter today are Kalshi for regulated US-based trading and Polymarket for broader global contracts. For a full breakdown of every major platform, their fees, and their contract offerings, see our complete prediction market rankings.

The next chapter is being written now. Sports contracts, AI event derivatives, and institutional products are all in active development. Whatever comes next, it will build on everything that came before, from a modest Iowa research project to a global forecasting infrastructure.