TOTAL VOLUME:
$154.6b
24H VOL:
$333,432,169
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,971,286,090
419,492
Markets across
40,634
events
MATCHED EVENTS:
4,654
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
D+8 or more
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D+8 or more - Kalshi
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Vol.
·
Resolves Nov 4, 2026
Time left: 01d:12h:30m
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This event tracks the difference in early voter turnout between Democrats and Republicans in North Carolina for the 2026 general election. The outcome depends on how many more or fewer Democratic voters there are compared to Republican voters among those who have already cast their ballots before the official election day. The result will be determined by analyzing party registration data from early voting reports.
The event resolves based on the difference between Democratic and Republican shares of early votes in North Carolina for the 2026 general election, as reported by the UF Election Lab at 10:00 AM ET on November 4, 2026. The percentage point difference (Democrat share minus Republican share) determines the outcome, with various predefined ranges corresponding to different market resolutions. The data source is the 'Total Voted by Party Registration' table on the North Carolina page of the UF Election Lab's 2026 Early Voting Tracker. If the web page is unavailable, the percentages are calculated from the voteddem, votedrep, and voted_none values in the UF Election Lab's early vote data file for North Carolina and rounded to one decimal place. The total voted includes both in-person early votes and returned mail ballots. A negative value indicates a Republican lead. All ranges include their endpoints, and only data as of 10:00 AM ET on November 4, 2026, is considered; updates posted after this time are disregarded.
Currently, the odds on this market reflect a different perspective than many traditional analyst forecasts. While some polls and pundits predict a close margin in North Carolina party registration, the market may be pricing in factors not fully captured by those sources, such as the potential for late registration swings or differing turnout rates among party groups. It’s important to remember that prediction markets represent a collective forecast based on real money at stake, which can sometimes diverge from expert opinions. This market offers a unique view into likely outcomes.
On Kalshi, this market is priced through a continuous double auction, meaning traders buy and sell contracts representing different outcomes. The price of a contract reflects the market’s probability of that outcome occurring; higher prices indicate greater perceived likelihood. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders adjust their bids and asks based on their own analysis and expectations, creating a dynamic price discovery process. The market efficiently incorporates new information as it becomes available, and the resulting prices can be seen as a real-time assessment of the potential party registration margin in North Carolina.
This market resolves around Nov 4, 2026, with the outcome confirmed once the final voter registration numbers are verifiable from credible public reporting. The resolution will be based on the official party registration data released by North Carolina election officials, showing the margin between the major parties. The market will determine which outcome—the specific party registration margin—was most accurate based on the official data. Traders will then be paid out or have their positions adjusted accordingly.
Several signals could significantly move this market. Major shifts in statewide polling data, particularly those focusing on party identification, would likely impact prices. Significant news events related to voter registration drives or changes to voting laws in North Carolina could also cause movement. Unexpected endorsements from prominent political figures or substantial fundraising activity by either party could also influence trader sentiment. Finally, any reports suggesting unusually high or low early voter turnout within specific demographic groups could lead to adjustments in this market.