Polymarket, the decentralized prediction market, and Parcl, a real-time housing data provider, have announced a partnership to create real estate prediction markets using Parcl Indices. This marks a significant step in data-driven housing market forecasts. As announced, the partnership will enable traders and analysts to predict home price changes in major cities with daily-updated pricing information.
New Prediction Market to Utilize Parcl’s Price Indices
Notably, these new housing-focused prediction markets will be available on Polymarket. The markets will use Parcl’s published real estate price indices. The indices will serve as a standard reference for participants to forecast whether home prices will fluctuate.
Additionally, Polymarket will oversee the prediction markets by creating markets, facilitating trading, and ensuring user access. Meanwhile, Parcl will offer independent index data and settlement values, ensuring that the markets are clear and consistent
Another benefit of this partnership is the addition of daily, clear housing market prices in prediction markets. Traditional real estate data often takes weeks or months to update, but Parcl Indices provide quicker insights into market conditions. This enables traders to respond more quickly to shifts in housing demand, interest rates, and local economic factors that affect home prices.
It is worth noting that the new real estate prediction markets will launch in stages. The first stage will focus on a selected list of cities with high trading volume to ensure strong participation and accurate signals. Later on, Polymarket and Parcl will expand to include several markets based on user interest and market activity.
Polymarket Experiences Rapid Rise
This partnership comes at a time when Polymarket is experiencing some of the fastest growth in its history. The platform gained widespread attention during the build-up to the United States elections in late 2024.
This period brought significant public interest to prediction markets in America. Interest grew even further as President Donald Trump publicly expressed support for digital assets. These favourable conditions helped Polymarket reclaim official approval to operate in the United States.
Since its founding in 2020, the platform has evolved into one of the most valuable companies in its sector. Reports say the company may soon be valued at $15 billion.
Growing interest in Prediction Markets
Prediction markets are gaining popularity in the cryptocurrency and fintech world as more companies enter the space
Recently, cryptocurrency exchange Coinbase rolled out prediction markets on its platform. These markets allow users to trade on real-world outcomes. These include elections, economic indicators, and sports events.
In November 2025, the two largest prediction market platforms, Polymarket and Kalshi, recorded strong growth. Their trading volumes reached about $8 billion.
The post Polymarket and Parcl to Roll Out Real Estate Prediction Markets appeared first on TheCoinrise.com.
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Polymarket and Parcl to Roll Out Real Estate Prediction Markets
Polymarket, the decentralized prediction market, and Parcl, a real-time housing data provider, have announced a partnership to create real estate prediction markets using Parcl Indices. This marks a significant step in data-driven housing market forecasts. As announced, the partnership will enable traders and analysts to predict home price changes in major cities with daily-updated pricing information.
New Prediction Market to Utilize Parcl’s Price Indices
Notably, these new housing-focused prediction markets will be available on Polymarket. The markets will use Parcl’s published real estate price indices. The indices will serve as a standard reference for participants to forecast whether home prices will fluctuate.
Additionally, Polymarket will oversee the prediction markets by creating markets, facilitating trading, and ensuring user access. Meanwhile, Parcl will offer independent index data and settlement values, ensuring that the markets are clear and consistent
Another benefit of this partnership is the addition of daily, clear housing market prices in prediction markets. Traditional real estate data often takes weeks or months to update, but Parcl Indices provide quicker insights into market conditions. This enables traders to respond more quickly to shifts in housing demand, interest rates, and local economic factors that affect home prices.
It is worth noting that the new real estate prediction markets will launch in stages. The first stage will focus on a selected list of cities with high trading volume to ensure strong participation and accurate signals. Later on, Polymarket and Parcl will expand to include several markets based on user interest and market activity.
Polymarket Experiences Rapid Rise
This partnership comes at a time when Polymarket is experiencing some of the fastest growth in its history. The platform gained widespread attention during the build-up to the United States elections in late 2024.
This period brought significant public interest to prediction markets in America. Interest grew even further as President Donald Trump publicly expressed support for digital assets. These favourable conditions helped Polymarket reclaim official approval to operate in the United States.
Since its founding in 2020, the platform has evolved into one of the most valuable companies in its sector. Reports say the company may soon be valued at $15 billion.
Growing interest in Prediction Markets
Prediction markets are gaining popularity in the cryptocurrency and fintech world as more companies enter the space
Recently, cryptocurrency exchange Coinbase rolled out prediction markets on its platform. These markets allow users to trade on real-world outcomes. These include elections, economic indicators, and sports events.
In November 2025, the two largest prediction market platforms, Polymarket and Kalshi, recorded strong growth. Their trading volumes reached about $8 billion.
The post Polymarket and Parcl to Roll Out Real Estate Prediction Markets appeared first on TheCoinrise.com.