- Polymarket will launch U.S. real estate prediction markets in partnership with Parcl.
- Markets will settle to Parcl’s publicly verifiable, city-level, daily housing indices to reduce outcome ambiguity.
- The announcement was shared on Monday and amplified via a Watcher.Guru tweet.
- Polymarket and Parcl will roll out markets in phases, starting with a curated list of high-liquidity cities and adding more metros by demand.
- The partners will create standardized market templates and tooling to ensure consistent terms, dates, and resolution references.
Polymarket said on Monday it will introduce prediction markets for U.S. real estate through a new partnership with Parcl, using city-level daily housing indices to determine market outcomes. The announcement was also shared in a Watcher.Guru tweet.
The markets will settle against Parcl’s publicly verifiable indices, which the companies say reduce ambiguity around resolution. The indices report housing data daily rather than the more common monthly cadence.
Parcl CEO Trevor Bacon described the move as part of a broader shift in prediction markets, saying, “Prediction markets are gaining substantial momentum and represent a paradigm shift in how views are expressed, and truth is identified.” He added that “Parcl is the source of truth for real-estate pricing, and we believe real estate should be a major category within the prediction-market ecosystem. Polymarket is a pioneer in the space, and we’re excited to partner with them.”
Polymarket CMO Matthew Modabber emphasized the importance of clear data, stating, “Prediction markets work best when the data is clear, and the outcome can be verified without debate.” He added, “Parcl’s daily housing indices give us a strong foundation to launch housing markets that settle transparently and consistently. Real estate should be a first-class category in prediction markets, and this partnership is how we get there.”
The rollout will proceed in phases, beginning with a curated list of high-liquidity cities and expanding to additional metros and index-based market types based on user demand. The teams will also develop standardized market templates and tools to simplify market creation and ensure consistent resolution references.
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