Polymarket, a decentralized prediction market platform, has expanded its reach into the $400 trillion global real estate sector via a partnership with Parcl, a blockchain-based real estate data platform, allowing traders to speculate on the future direction of housing prices in major U.S. cities.
Announced Monday, the collaboration integrates Parcl’s daily housing price indexes into Polymarket’s trading interface. The offering allows users to trade contracts based on whether specific housing markets will rise or fall over set periods — such as a month, quarter or year — or whether they will hit specific price thresholds in general.
The markets are designed to settle against Parcl’s data, providing a verifiable “source of truth” for an asset class that is traditionally illiquid and difficult to trade without physical ownership.
The partnership aims to solve two persistent issues in the prediction market: liquidity and resolution ambiguity. By using Parcl’s daily price-per-square-foot estimates — which aggregate data from public records, tax assessments and listing services — the markets offer standardized settlement mechanisms, removing the ambiguity that impacts other “real world” event contracts.
“Prediction markets work best when the data is clear and the outcome can be verified without debate,” said Matthew Modabber, chief marketing officer at Polymarket, in a press release. “Parcl’s daily housing indices give us a strong foundation to launch housing markets that settle transparently and consistently.”
The initial rollout will focus on high-liquidity U.S. cities, with plans to expand to additional metro areas based on demand.
The move into real estate signals a significant diversification for Polymarket, which gained prominence for its political wagers during the 2024 election cycle. Since then, the platform has expanded to offering bets on other subjects — such as predicting the next chair of the Federal Reserve — and secured over $205 million in investment, according to an X post by Polymarket CEO Shayne Coplan.
