TOTAL VOLUME:
$134.2b
24H VOL:
$126,324,530
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,434,646,834
406,019
Markets across
30,401
events
MATCHED EVENTS:
2,689
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
$
This event concerns the highest temperature recorded at Philadelphia International Airport on June 1, 2026, as documented by the National Weather Service's daily climatological report. The market appears designed to track temperature outcomes across multiple ranges, with resolution tied to the official weather measurement for that specific date and location.
On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the highest temperature in Philadelphia on June 1 is priced through binary or range-based outcome contracts, where traders buy and sell shares reflecting their belief in specific temperature thresholds. Each contract trades between 0 and 100 cents, with the price directly representing the implied probability of that outcome occurring. As new weather models, seasonal data, and real-time atmospheric conditions emerge, traders adjust positions, moving prices up or down. The market-clearing price at any moment reflects the collective expectation of all active participants on the platform.
The market resolves on Jun 2, 2026, after the highest temperature in Philadelphia on June 1, 2026, has been officially recorded. Resolution is determined by verified temperature data from the specified location and time period. Once the actual high temperature is confirmed, the outcome is locked in and traders' positions settle according to which contracts matched the realized temperature. The resolution process ensures all bets are finalized and winnings or losses are distributed to accounts.
Several factors could shift market odds for Philadelphia's June 1 high temperature. Updated seasonal climate forecasts, changes in large-scale atmospheric patterns, and emerging weather models will influence trader expectations. Historical temperature data for early June in the region provides a baseline, but anomalies like heat domes, cold fronts, or unusual jet-stream positioning could alter probabilities. Real-time weather updates closer to the event date, shifts in solar activity forecasts, and any unusual climate signals will prompt traders to adjust positions, moving market prices in response to new information.