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What will the median home value in the San Francisco Metro area be on June 30?
Foretrace AI research
Understand the odds. Examine the reasoning.
Polymarket shows market prices. Foretrace adds AI probability estimates, opposing evidence and a price-dependent outcome or pass decision for each open market.
View a sample AI report No open markets in this event. Closed markets retain historical data.
24h volumeUnavailable
Total volume$3.7K
LiquidityUnavailable
Event end date · UTCJun 30, 2026
Price history
Market probabilityLoading price history…
Polymarket · UTC
Sampled market observations, not AI forecasts. Lines connect available observations. Legend values are current provider quotes; chart points may be older.
Outcomes & resolution rules
7 marketsThese are market-implied probabilities, not AI forecasts. A displayed quote may differ from the price available for your order.
<$1.174MClosedMarket odds0%
Will the median home value in the San Francisco Metro area be less than $1,174,000 on June 30?
Yes0%Polymarket estimate
No100%Polymarket estimate
- Liquidity
- Unavailable
- Deadline · UTC
- Jun 30, 2026
- Yes bid / ask
- — / 0.1¢
- Trading fees
- Enabled · verify on Polymarket
Closed market · historical data
This market is closed. Its historical data remains available.
How research worksResolution rules
This market will resolve according to the median home value for all property types in the San Francisco Metro area on June 30, 2026. If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket. The resolution source will be official data from the Parcl Labs Sales Price Index for the San Francisco Metro area (Parcl_ID: 2900336). The settlement price will be calculated by multiplying the published price index value (price per square foot) by 1700 square feet, which is the median home size in the San Francisco Metro area. Parcl is set to publish this data on June 30, 2026. If no data for June 30 is released by July 10, 2026, 11:59PM ET, this market will resolve according to the most recently published data. (see: https://app.parcllabs.com/prediction-market-resolutions/44)