TOTAL VOLUME:
$97.3b
24H VOL:
$248,974,735
24H TRANSACTIONS:
951,753,729
OPEN INTEREST:
$2,127,649,750
828,765
Markets across
15,051
events
MATCHED EVENTS:
953
PLATFORM COVERAGE:
5
Polymarket:
45%
VS.
Kalshi:
55%
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This market tracks the Democratic Party's margin of victory in the 2026 U.S. House of Representatives national popular vote, specifically whether Democrats will win by between 8 and 10 percentage points. On Kalshi, the leading outcome—a Democratic margin between 8 and 10%—stands at 24.0%, while a narrower Democratic margin between 6 and 8% is at 20.0%. Resolution will be determined by the official national popular vote results following the November 2026 midterm elections, with final settlement occurring after vote tallies are certified in early November 2027.
The national House popular vote margin of victory is calculated as the vote percentage received by all Democratic party House candidates in the general election minus the vote percentage received by all Republican party House candidates in the general election. The margin will be positive if the Democratic party wins the national House popular vote and negative if they lose. Each margin range is inclusive of its lower bound and exclusive of its upper bound. No rounding is applied to the calculated margin; for example, a margin of 5.99999% resolves within the 5-6% range, while exactly 6% resolves within the 6-7% range.
Prediction market odds on Kalshi often diverge from traditional polling averages because markets incorporate not only survey data but also betting activity, expert analysis, and real-money incentives. While polls measure voter preference at a single moment, prediction markets reflect participants' beliefs about the actual outcome months away. The current market pricing reflects expectations about turnout, campaign dynamics, and structural factors that may not be fully captured in generic ballot polls. Comparing the two reveals where market participants believe polls may be over or underestimating Republican performance in the 2026 House popular vote.
On Kalshi, the House popular vote margin is priced as a binary contract asking whether Republicans will win the national popular vote. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The current implied probability stands at 25.0%, with volume of $587,987 accumulated across the contract's lifetime. Participants buy or sell shares based on their conviction about Republican performance relative to Democrats in the aggregate House vote. Kalshi's order book mechanism allows traders to enter positions at various price levels, and the contract's value converges toward 0 or 100 as Nov 3, 2027 approaches and actual results become clearer.
The market resolves on Nov 3, 2027, following the 2026 midterm elections held in November. Resolution is determined by the official nationwide popular vote totals for House races, comparing Republican vote share against Democratic vote share. The outcome reflects aggregate results across all House districts and states, not individual races. Once official results are certified and verified, the contract settles based on which party achieved a higher national popular vote percentage. This timing allows sufficient period for vote counting and validation before final market settlement.
Major catalysts include shifts in generic ballot polling, economic data releases, legislative actions by the current administration, and significant political events or scandals. Presidential approval ratings strongly influence midterm outcomes and will likely drive market repricing. Campaign spending announcements, candidate recruitment, and primary results in key districts signal party strength. International crises, inflation trends, and labor market reports affect voter sentiment. Media coverage of specific issues—healthcare, immigration, economy—can shift voter preferences. Unexpected retirements or candidate controversies may alter perceived competitiveness, causing traders to adjust positions on the House popular vote margin throughout the prediction period.
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