| Outcome | Probability | Yes Bid | Yes Ask | 24h Change | Volume | |
|---|---|---|---|---|---|---|
| Democratic party | 0% | 0¢ | 0¢ | — | $0 | Trade → |
| Republican party | 0% | 0¢ | 0¢ | — | $0 | Trade → |
This prediction market asks which party will win the U.S. House seat for Missouri's 1st Congressional District (MO-01). It matters because the outcome determines party representation for the district and contributes to the broader balance of power in the House of Representatives.
MO-01 is an urban district centered on St. Louis and has a history of favoring one party in recent decades, shaped by urban demographics and local political organizations. Local issues, candidate quality, and turnout patterns in the district have historically been decisive factors in the race.
Market prices reflect the aggregate trading opinions of participants at any given moment and incorporate public information, news, and private assessments. They are dynamic signals, not guarantees, and can shift quickly as new information arrives.
The listing shows the market close as TBD; check the platform for updates. Trading stops at the platform-specified close, and the market will resolve according to the platform's rules after official election results are determined.
This market offers two outcomes corresponding to the major parties: the Democratic Party and the Republican Party. The winning outcome is the party of the candidate officially declared the winner in MO-01.
Resolution is based on the official, certified outcome for the MO-01 House race as defined by the platform's resolution rules—typically the party of the candidate certified by election authorities as the winner.
Events such as late-breaking endorsements, revelations about a candidate, changes in turnout operations, court rulings affecting ballots, or significant local news coverage can all prompt rapid market adjustments.
Use the market as one input among polls, on-the-ground reporting, and campaign data: markets aggregate trader beliefs and react quickly, while polls and local reporting provide detailed snapshots and context. Consider time horizons and the quality of available information when combining sources.