Polymarket taps Parcl data to launch housing price prediction markets

Housing prices are heading to prediction markets, as real-time data firm Parcl partners with Polymarket to let traders wager on real estate trends.

Summary

• Polymarket will roll out a new suite of real estate-focused prediction markets that settle using Parcl’s daily housing price indices.
• The partnership gives traders a standardized, data-driven way to take a view on housing price movements without owning property or using leverage.
• The rollout will take place in phases, marking one of the first efforts to bring housing into prediction markets in a structured, data-driven format.

The collaboration brings Parcl’s housing indices onto Polymarket, the largest prediction market platform, allowing users to trade contracts tied to whether home prices in specific cities rise or fall over defined periods such as a month, quarter, or year. Some markets will also be structured around price thresholds, settling against published index values.

Polymarket will operate the markets, while Parcl will supply the independent pricing data and settlement references used to resolve outcomes. Each market will link to a dedicated Parcl resolution page that shows final index values, historical context, and the methodology used to generate the data, to ensure transparent and verifiable settlements.

Supporters of the partnership say it addresses a long-standing challenge in real estate investing: expressing a clear view on housing prices without the complexity of buying property, using leverage, or committing capital for long-term horizons.

“Prediction markets are gaining substantial momentum and represent a paradigm shift in how views are expressed,” Parcl CEO Trevor Bacon said, adding that housing should be a core category within prediction markets.

Polymarket CMO Matthew Modabber said the use of Parcl’s daily indices provides a clear and auditable basis for resolving markets, a key requirement for scalable prediction products.

The first markets will focus on a select group of high-liquidity U.S. cities, with additional metros and market types expected to be added over time based on user demand. Parcl and Polymarket also plan to collaborate on standardized market templates to streamline market creation and improve consistency for traders.

The rollout will take place in phases, marking one of the first efforts to bring housing—often described as the world’s largest asset class—into prediction markets in a structured, data-driven format.