Polymarket strikes deal with Dow Jones to use predictions data in media outlets

Source Cryptopolitan

Polymarket is sending its live trading data straight into the pages of major U.S. financial media. The company has struck a new partnership with Dow Jones, putting prediction prices inside the Wall Street Journal, Barron’s, and Investor’s Business Daily. The goal is simple. Show readers what traders are betting on, in real time, using actual money.

Dow Jones, which sits under the Murdoch family’s News Corp., plans to publish the data both online and in print. According to Polymarket, the companies are set to announce the deal later on Wednesday. The data will also feed into new products, including an earnings calendar that shows what traders expect from public companies before results come out.

Dow Jones adds prediction data across its financial outlets

This deal is the first media partnership ever signed by Polymarket. The New York‑based company restarted U.S. operations late last year after a pause tied to a 2022 settlement with the Commodity Futures Trading Commission. The case focused on the firm failing to register as a derivatives market. After that break, Polymarket returned with a narrower structure and a clear focus on distribution.

Prediction markets let users place wagers on a wide range of outcomes. These include sports games, elections, company earnings, and financial events. The format has gotten some well-earned criticism from regulators in several states. Many argue these platforms operate like gambling sites without proper licenses.

A rival platform, Kalshi, already signed similar data deals with CNBC and CNN. That made Dow Jones the latest major media group to open space for prediction prices. Dow Jones supplies financial news through its wire service and the Wall Street Journal, giving the data exposure to institutional and retail readers at the same time.

Large financial firms have also poured money into the space. CME Group, Intercontinental Exchange, and Cboe Global Markets have committed billions of dollars. During 2025, valuations for both Kalshi and Polymarket rose sharply, with each topping $10 billion. Backers say these markets give people a way to hedge political, economic, and corporate risks instead of relying only on polls or analyst notes.

Thin markets raise questions around risk and oversight

That pitch sits next to a rougher reality. For every contract tied to wars, elections, or storms, there are many more tied to sports scores, TV shows, or religious events. Traders have bet on whether the Atlanta Hawks beat the New Orleans Pelicans.

Others have wagered on future South Park episodes. Some even placed bets on whether Jesus Christ would return in 2026. Those who bet against a 2025 return already got paid.

Liquidity is often thin. That means a single trader can shift prices that are meant to show group thinking, especially if that trader has early information. That risk jumped into focus over the weekend. A trader on Polymarket made nearly $400,000 betting on the capture of Nicolás Maduro. The largest bets landed just before Donald Trump publicly announced the military operation. The timing set off alarms across markets and policy circles.

The reaction spread fast.

On Polymarket, the odds of Trump “acquiring” Greenland by the end of the year jumped from 6% to 11%. Bets on Ali Khamenei being removed from power in Iran by summer climbed from 19% to 35%. These changes happened while Wall Street was closed, showing how fast these markets update.

Oversight remains limited. Few systems exist to identify bad actors. That concern grows when anonymous traders place bets on wildfires or other disasters they could influence. Crypto markets and Wall Street have seen similar stories before.

Meme stocks, NFTs, and zero‑day options all arrived wrapped in talk about access and empowerment. Prediction markets now push their own version of that story. They sell raw data created by traders backing beliefs with cash. That data is now heading into Dow Jones outlets through Polymarket.

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Disclaimer: For information purposes only. Past performance is not indicative of future results.
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