TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 24, 11:59 PM EST
Kalshi
These markets track the average price of regular unleaded gasoline across the United States on June 25, 2026, as reported by the American Automobile Association (AAA). Each market corresponds to a specific price threshold, allowing traders to bet on whether gas prices will exceed that particular level on the specified date.
This event series establishes a range of price thresholds for regular gasoline in the United States, spanning from $3.890 to $3.970 per gallon in $0.005 increments. Each individual market within the event resolves affirmatively if the average regular gas price reported by AAA for June 25, 2026 is strictly greater than its designated threshold price. The resolution data source is exclusively AAA's official average regular gas price reporting for the United States on that date. All thresholds use strict inequality (greater than, not greater than or equal to), meaning prices must exceed the stated level to trigger a Yes resolution. This tiered structure allows participants to express granular predictions about gas price levels, with each threshold representing a distinct market outcome.
Prediction market odds often diverge from traditional analyst forecasts because they reflect real-money incentives and crowd wisdom rather than institutional models. On this market, traders are betting directly on gas price outcomes, which can lead to faster price discovery than consensus surveys. Analysts typically publish quarterly or monthly reports; this market updates in real time as new information emerges. When major supply disruptions, geopolitical events, or demand shifts occur, prediction markets often reprice faster than formal forecasts are revised. Comparing the two approaches reveals where market participants see risks that traditional models may underweight.
On Kalshi, this market is priced through a continuous order-book mechanism where buyers and sellers submit limit orders that execute when matched. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The platform displays a bid-ask spread reflecting the current supply and demand for each outcome. Traders can place market orders for immediate execution or limit orders to wait for a target price. As new information arrives—inventory reports, refinery outages, or demand signals—traders adjust their bids and offers, causing the price to shift. The spread typically tightens during high-volume periods and widens during quiet hours, influencing execution costs for participants.
This market resolves around Jun 25, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution hinges on whether gas prices meet or exceed specified thresholds by the deadline. Traders should monitor official energy data releases and market reports in the final hours before settlement to assess the likelihood of each outcome. Early resolution is possible if the outcome becomes mathematically certain before the end date. Participants are encouraged to review the market's full terms to understand all outcome scenarios and any edge cases.
Major catalysts for this market include weekly petroleum inventory reports from the Energy Information Administration, which directly influence short-term price expectations. Geopolitical tensions affecting oil supply, refinery maintenance schedules, and seasonal demand shifts can all trigger sharp repricing. Federal Reserve policy announcements and inflation data affect broader energy costs and trader risk appetite. Weather events impacting production or transportation, OPEC production decisions, and unexpected supply disruptions are high-impact wildcards. Economic data suggesting recession or demand weakness could pressure prices downward, while stronger-than-expected growth signals typically support higher levels. Monitoring these drivers helps traders anticipate market moves before they occur.