The market strongly favors Dem sweep; No $3.50 gas at 92%. High confidence — but lower potential returns.
| # | Outcome | Probability | If Right | Volume |
|---|---|---|---|---|
| 1 | Dem sweep; No $3.50 gas | 92% | +9% | $3K |
| 2 | Dem sweep; Gas hits $3.50 BEST VALUE | 6% | +1686% | $4K |
| 3 | No Dem sweep; No $3.50 gas | 2% | +3982% | $2K |
Real-money prediction market · Trade with confidence
This market will resolve according to the combined outcome of (1) whether the Democratic Party wins control of both the United States House of Representatives and the United States Senate in the 2026...
This prediction market tracks whether Dem sweep & Gas hits $3.50 by end of 2026? will occur, with $24K in total trading volume reflecting significant trader interest. Prediction markets aggregate the collective intelligence of participants who stake real money on outcomes, making them one of the most reliable forecasting tools available for events driven by polling data, political developments, and historical voting patterns.
The market shows strong consensus: Dem sweep; No $3.50 gas is priced at 92%, indicating traders overwhelmingly expect this outcome. At this probability level, the potential return on a correct bet is relatively low, but contrarian positions carry significant upside if the consensus proves wrong.
Trading activity is exceptionally high, with $28K traded in the last 24 hours alone (119% of total volume). This surge often indicates breaking news, a key deadline approaching, or a significant shift in market sentiment.
This market is scheduled to resolve by 2027-01-01. As the resolution date approaches, expect increased trading activity and tighter probability estimates. Historical data shows that prediction market accuracy improves significantly in the final days before resolution.
As of Nov 04, 2026 at 01:45 UTC, the leading outcome is Dem sweep; No $3.50 gas at 92% probability, with $24K in total trading volume on Polymarket.
What Are Prediction Markets? · How to Trade · Odds Calculator · Compare Platforms