Polymarket, the decentralized prediction market platform, has launched a new feature allowing users to forecast the earnings of publicly traded companies. The move comes shortly after the platform received regulatory clearance to operate in the United States, marking a significant milestone in its expansion.
The company announced on Monday that it has partnered with Stocktwits, a popular social platform for traders, to introduce earnings-focused prediction markets. The collaboration combines Polymarket’s crowd-priced forecasts with Stocktwits’ active trading community, offering users real-time odds alongside market sentiment and discussion.
Early markets have already gone live, including forecasts on FedEx and crypto exchange Bullish. For example, in the market “Will Bullish (BLSH) beat its quarterly EPS estimate?” traders are currently giving Bullish about a 56% chance of surpassing analyst expectations. The exchange is set to report second-quarter earnings on September 17.
While company earnings are a new focus, Polymarket’s most active market remains macroeconomic events. Its “Fed decision in September?” market has seen $139 million in trading volume, with bettors assigning a 91% probability that the Federal Reserve will cut interest rates by 25 basis points.
“Prediction markets transform uncertainty into clarity by turning big questions—like earnings—into simple, tradable outcomes with transparent pricing,” said Matthew Modabber, chief marketing officer of Polymarket.
Howard Lindzon, founder and CEO of Stocktwits, called the partnership a natural fit: “Polymarket has created an entirely new way to understand news and expectations, and Stocktwits is the place where millions of investors already gather to share ideas and sentiment.”
The launch comes amid reports that Polymarket is exploring a new funding round at a valuation between $9 billion and $10 billion, according to The Information and Business Insider.
With regulatory approval secured and new products rolling out, Polymarket is positioning itself at the intersection of finance, technology, and crowd-sourced forecasting. Its expansion into company earnings signals a broader push to bring prediction markets into the mainstream of investor analysis.
