Dow Jones entered an exclusive partnership with Polymarket that will make real-time prediction market data visible across several well-known consumer platforms operated by the business information provider. The arrangement positions probabilistic market signals alongside financial coverage and news content that reaches a wide audience. Polymarket’s data will appear on digital properties including the Wall Street Journal, Barron’s, MarketWatch and Investor’s Business Daily, as well as select print editions.

Reader Access to Probabilistic Signals

Polymarket operates a prediction platform where traders speculate on future outcomes. Participants buy or sell positions tied to questions involving politics, economics and cultural developments. The prices that emerge reflect the aggregated view of traders regarding the likelihood of future events. Those prices update continuously as expectations change.

Dow Jones intends to insert this data into dedicated modules across homepages and market sections on its digital properties. The partnership also involves the development of a custom earnings calendar that highlights what prediction markets signal about corporate financial performance ahead of scheduled earnings reports. Additional consumer-facing features that draw from Polymarket’s data may appear over time.

Executives from both companies described the partnership as a step toward presenting market-implied probabilities to readers who traditionally rely on financial statements, analyst comments and economic forecasts. “We’re making prediction markets data accessible to our users, because it’s a rapidly growing source of real-time insight into collective beliefs about future events,” said Almar Latour, CEO of Dow Jones and Publisher of The Wall Street Journal, in the company’s press release. “Our mission is to help people make decisions by offering them reliable news, data and analysis. In partnering with Polymarket, we aim to help consumers better interpret market sentiment and assess risk alongside traditional financial indicators.”

Shayne Coplan, founder and CEO of Polymarket, said the partnership signals the growing importance of prediction-based data for assessing expectations around prominent business events. “The Dow Jones group, including The Wall Street Journal, are setting a new standard for accessible, data-driven information to inform their readers,” Coplan said. “As Polymarket continues to expand, our prediction market data is increasingly relied upon for reliable, transparent, and accurate information. This partnership combines journalistic insight with real-time market probabilities – including the most-watched business news like public company earnings reports – to create a truly comprehensive news experience for readers.”

The integration introduces probabilistic information to a mainstream financial audience. Dow Jones intends to bring clarity to how markets view likely outcomes while framing those expectations near conventional data presentation formats. That includes placing the information next to corporate earnings details and other business metrics that retail readers follow. Digital layouts will host these displays prominently, and some print placements will accompany them.

Growth in Investor Interest and Trading Activity

Interest in prediction markets became more visible over the previous year as investors placed capital into companies that facilitate trading on future outcomes. FinTech companies worldwide attracted $55.94 billion in venture funding during 2025, up from $44.75 billion the prior year. Polymarket and Kalshi accounted for $3.71 billion of that total.

Trading activity in prediction markets increased as well, with total global volumes surpassing $28 billion in 2025. Weekly peaks reached $2 billion as users pursued markets tied to elections, macroeconomic data releases and corporate events. Those figures provided a backdrop for Polymarket’s agreement with Dow Jones, as the company sought to distribute its data through channels that reach users who follow earnings reports and market-moving indicators.

Polymarket’s structure allows traders to interact directly with probabilities expressed in market prices. The trading process produces implied likelihoods without relying on forecasts written by analysts or experts. Market participants update expectations in real time, and those movements convey how views change as new information arrives or political or economic conditions shift.

For Dow Jones, the partnership expands the suite of analytical information made available to readers who engage with corporate financial results and economic reporting. The earnings calendar tied to the partnership will show how traders interpret likely performance outcomes before companies publish their results, providing a market-based reference point that exists alongside conventional estimates and financial statements.

Polymarket sought to distribute its data to a broader audience as volumes increased and venture funding rose. Dow Jones placed the data within the context of financial journalism, allowing readers to view probabilities through the same interfaces they use to check corporate announcements and market movements. The integration follows rising attention on the potential role of prediction markets in shaping investor views on elections, macroeconomic statistics and business results.