TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Aug 7, 1:59 AM EST
Kalshi
These markets track diesel fuel price thresholds for a specific future date, reflecting expectations about energy market conditions and supply-demand dynamics. Each outcome represents a different price level that could be reached, helping participants gauge potential economic trends.
All markets resolve based on the observed diesel price on August 7, 2026. Each market corresponds to a specific price threshold, with the outcome set to 'Yes' if the actual price exceeds that threshold. The structure creates a ladder of progressively higher price points, allowing participants to assess the likelihood of diesel prices reaching various levels. The resolution depends entirely on the single day's closing price, with no adjustments for inflation or regional variations.
Compared to traditional analyst forecasts, this market’s odds reflect a crowdsourced outlook shaped by real-time trading. While analysts may issue reports based on supply-demand models or geopolitical factors, traders adjust positions continuously based on new data, often leading to faster shifts in implied probabilities than traditional polling or expert opinion.
This market resolves around Aug 14, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The final settlement will reflect the actual diesel price movement as reported by authoritative sources at that time, closing all positions based on observed market conditions.
Key signals that could shift this market include inventory reports from major suppliers, changes in global demand due to seasonal factors or economic shifts, geopolitical developments affecting transport routes, and policy announcements related to energy subsidies or taxes. Any unexpected supply disruptions or demand spikes may cause rapid reevaluation of market probabilities.