Resolution criteria on PolyGram: This market will resolve according to the candidate who wins the nomination for the Democratic Party to contest the NJ-07 congressional district seat in the U.S. House of Representatives in the 2026 midterm elections. The Democratic primary will take place on June 2, 2026. If no nominee is announced by November 3, 2026, 11:59 PM ET, this market will resolve to "Other". The resolution source for this market will be a consensus of official Democrat sources, including https://democrats.org/. Any replacement of the nominee before election day will not change the resolution of the market.
PolyGram is an on-chain prediction market where you trade YES or NO outcome shares with real USDC on Polygon. For this market, buy YES if you believe the event will happen, or NO if you think it won't. Your maximum loss is your stake — winning shares pay $1.00 each at resolution. Unlike sportsbooks, there is no house edge: prices are set by supply and demand from other traders and reflect the crowd's real-time probability.
Market outcomes
| Brian Varela | 16% YES | 84% NO |
| Candidate B | — | |
| Candidate D | — | |
| Candidate F | — | |
| Candidate H | — | |
| Candidate J | — | |
| Rebecca Bennett | 78% YES | 23% NO |
| Tina Shah | 4% YES | 96% NO |
New Jersey's 7th congressional district will hold a Democratic primary on 2 June 2026 to select the party's nominee for the U.S. House seat in that year's midterm elections. The current order book on Polymarket implies a 16% probability for this market resolving YES, suggesting the crowd assigns meaningful uncertainty to whether a Democratic nominee will be formally announced by the 3 November 2026 deadline. This probability reflects both the baseline expectation that a nominee will emerge and the tail risk of procedural delays or contested nomination processes.
Historical precedent indicates Democratic primary nominations in competitive districts typically conclude without incident. New Jersey's 7th district, currently represented by Republican Thomas Kean Jr., has seen competitive Democratic primaries in recent cycles. The 2024 primary in this district involved multiple candidates and resolved through standard party processes. The 16% implied probability likely incorporates scenarios where nomination disputes, candidate withdrawals, or administrative delays push announcement past the deadline, though such outcomes remain uncommon in modern U.S. Democratic primaries.
Key catalysts for traders include formal candidate announcements and filing deadlines in the coming months, which will clarify the field and reduce uncertainty. The New Jersey Democratic State Committee's schedule and any guidance from democrats.org regarding nomination procedures will shape expectations. Party endorsements and fundraising announcements from prospective candidates will signal momentum. Any unexpected candidate withdrawals or contested nomination scenarios could shift the probability materially, though the current 16% reflects the market's assessment that such complications remain unlikely.
The New Jersey Democratic State Committee (NJDSC) is the affiliate of the Democratic Party in the U.S. state of New Jersey. LeRoy J. Jones Jr. is the chair and Peg Schaffer is the vice chair. Its main rival is the New Jersey Republican Party.
Resolution is handled by the UMA optimistic oracle on Polygon. A proposer submits the outcome, a two-hour dispute window opens, and if no one stakes a counter-claim the payout is final. Contested outcomes escalate to UMA token-holder voting. Payouts clear in USDC to the winning side.
The mechanics for trading "NJ-07 Democratic Primary Winner" are the same as any other PolyGram event contract. Each YES share resolves to $1 if the event happens, or $0 if it doesn't. The current price between 0¢ and 100¢ is the market's probability estimate, set live by the order book.
$3K in lifetime turnover and $8K of resting liquidity puts this market in the below the median by volume for elections contracts on PolyGram. Order-book depth is thin — large orders may need to be split across the book or executed as limit orders.
The market has been open for under a month — fresh enough that information asymmetry remains a real factor.
Higher-volume markets tend to have tighter spreads and faster price discovery — meaning the displayed YES/NO percentages are more likely to reflect the true crowd-implied probability rather than a single trader's directional view.
Resolution is handled by the UMA optimistic oracle on Polygon. A proposer submits the outcome, a 2-hour dispute window opens, and if uncontested the payout is final. Contested outcomes escalate to UMA token holders.
This prediction market is scheduled to close on 2 June 2026. After the resolving event occurs, settlement typically clears within 24 hours once the UMA optimistic oracle confirms the outcome. All payouts are in USDC on the Polygon network.
To trade on this prediction market, create a free PolyGram account at polygram.ink, deposit USDC via Polygon, and place a YES or NO order on the outcome you believe in. You can learn more on our how-it-works page. Your maximum loss is limited to your stake — there is no leverage or margin.
When the outcome is determined, winning YES shares pay out $1.00 each in USDC, while losing shares pay $0. Settlement is handled by the UMA optimistic oracle on Polygon — a proposer submits the result, a two-hour dispute window opens, and if uncontested, payouts are distributed automatically. You can withdraw your winnings to any Polygon wallet.
Prediction-market positions can lose 100% of staked capital. Outcomes are uncertain by definition — historical accuracy of crowd-implied probabilities is high in aggregate but not for any single market. PolyGram does not provide investment advice. Trade only with capital you can afford to lose.
Regulatory status varies by jurisdiction. Germany, the United States, and most EU countries treat Polymarket-style event contracts under one of three frameworks: financial derivative, gambling product, or unregulated novel asset. Consult local counsel before trading.
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