In a shift that brings trading-floor style signals into broadcast news, CNN has picked Kalshi as its official prediction markets partner and will start weaving market-implied odds into coverage of major political and cultural stories.

The partnership gives CNN access to real-time event contract prices that reflect how traders collectively price the chances of outcomes such as elections, policy moves, and headline-grabbing cultural moments.​

Kalshi operates a federally regulated exchange that treats event contracts as a financial asset class, allowing users to trade on binary questions tied to real-world outcomes such as elections or economic indicators.

How Kalshi’s Data Will Appear on CNN

“Users can trade on real-world events to predict the outcomes of elections, weather, cultural moments, and more,” Kalshi mentioned. “It has become the definitive source for staying informed about the future and is used by reporters, politicians, pundits, Wall Street, and Main Street.”

The platform has attracted attention inside politics and finance after calling results like the New York City mayoral race within minutes of polls closing, well ahead of many traditional projections.​

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CNN reportedly plans to launch a Kalshi-powered real-time ticker that runs during segments using this data, displaying up-to-the-minute odds drawn from Kalshi’s markets. Those feeds will sit alongside traditional graphics packages, giving viewers a direct view of how traders price changing expectations around elections, policy decisions, and other news events.​

Why Prediction Markets Appeal to Media

Beyond what appears on-screen, CNN’s editorial, data, and production teams will gain direct access to Kalshi’s real-time feeds. The network expects to use this information to inform story selection, build graphics around shifting probabilities, and add context to articles and segments that track momentum in U.S. politics, economic themes, and cultural debates.​

Producers and data journalists can also pull Kalshi prices as one more quantitative input when weighing whether a development reflects a genuine shift in expectations or short-lived noise. That use case positions prediction markets alongside polls, historical data, and traditional reporting, rather than as a replacement.​

This week, Kalshi raised $1 billion in new financing, lifting its valuation to about $11 billion, more than double the roughly $5 billion level it reached less than two months ago. An earlier round saw the company raise about $300 million at a $5 billion valuation, marking a rapid repricing of the business as momentum in prediction markets accelerates.

Source: Finance Magnates