Housing price indexes debut in prediction markets as token activity and market scope expand

Prediction markets are expanding beyond traditional categories with a new move into real estate. A partnership between Polymarket and Parcl is introducing housing price–based prediction markets, marking the first time daily residential price indexes are being used to settle onchain prediction contracts.


Real Estate Price Indexes Integrated Into Prediction Markets

Under the new agreement, Polymarket will list and operate prediction markets tied to movements in housing price indexes, while Parcl will supply the underlying data used for market settlement. Each contract will resolve against Parcl’s daily housing price indexes, providing transparent settlement values and historical data.

Parcl’s native token, PRCL, surged by approximately 120% within 24 hours following the announcement, reflecting strong market interest in the expansion of real estate–linked onchain products.

United States, Predictions, Polymarket, Kalshi, Prediction Markets

Markets will initially focus on major US cities, allowing participants to speculate on whether local home prices rise or fall over defined periods, as well as on threshold-based outcomes tied to published index levels. The rollout is planned in phases, starting with high-liquidity housing markets before expanding to additional cities and contract structures.

Parcl operates onchain real estate analytics and pricing tools, using Solana-based settlement infrastructure to track residential property values in real time.Prediction markets have gained significant traction since 2025, expanding from sports and politics into financial, crypto, and now real estate data. This move highlights growing demand for data-driven markets tied to real-world assets, positioning housing as a new frontier for onchain forecasting and speculative activity.

Disclaimer

This content is for informational purposes only and does not constitute financial, investment, or legal advice. Cryptocurrency trading involves risk and may result in financial loss.

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