| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Above 550000 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Above 560000 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Above 552500 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Above 557500 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Above 565000 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Above 562500 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Above 555000 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Above 567500 | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This market asks how the typical home value in the Denver metro area will be reported for March 2026; it matters because the result reflects local housing affordability and wealth effects for homeowners, renters, and policymakers.
Denver’s housing market has shown strong multi-year appreciation punctuated by periods of slower growth; prices are sensitive to nationwide interest-rate cycles as well as local employment and migration patterns. Local supply constraints, new construction activity, and shifts in demand (for example from remote-work trends) have been central drivers in recent years.
Market prices here aggregate participants’ views about future data releases and local conditions and will move as new information arrives; use market prices as a real-time sentiment signal rather than a definitive forecast and combine them with fundamental data and official sources.
The event’s contract on the platform specifies the exact definition and the authoritative data series to be used for settlement; check the market’s rules or description for the named index or published series that will determine the March 2026 value.
The market page will list the close time; settlement generally occurs after the referenced data provider releases March 2026 figures and within any settlement window defined in the contract, so review the event timeline and settlement rules for exact dates.
The contract should list the geographic definition (for example a specific MSA or set of counties); if not visible on the event page, consult the platform’s rulebook or the contract notes to see which official boundary will be used for settlement.
Use multi-year trends to understand volatility, seasonality, and structural drivers (supply constraints, job growth), but treat past performance as only one input — combine it with current indicators like rates, permits, and employment data when forming a view.
Announcements or shifts in mortgage rates, major local employment news (hiring or layoffs), changes in housing inventory or building permits, local policy actions affecting housing, and unexpected shocks (natural disasters or large corporate moves) are the types of events that traders will react to and that can materially change market pricing.