TOTAL VOLUME:
$134.1b
24H VOL:
$113,466,932
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,423,222,590
402,751
Markets across
30,217
events
MATCHED EVENTS:
2,632
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: May 28, 8:00 AM EST
Polymarket
This market tracks whether the highest temperature recorded in Qingdao on May 28, 2026 will reach 28°C, currently priced at 100.0% on Polymarket. The alternative outcome—a high of 26°C—stands at 0.1%. Resolution will be determined by historical weather data from Weather Underground, specifically measurements from Qingdao Jiaodong International Airport Station. Watch for actual temperature readings as May 28, 2026 approaches to see whether conditions align with the 28°C threshold.
Prediction market odds on Polymarket reflect real-money consensus from traders betting on Qingdao's May 28 high temperature. Unlike traditional analyst forecasts, which rely on meteorological models and expert judgment, prediction markets aggregate distributed information through price discovery. Traders incorporate weather data, seasonal patterns, and climate anomalies into their positions. The market-derived odds often diverge from single-source forecasts because they represent collective expectations across many participants with varying expertise and risk tolerances, offering a dynamic alternative to static analyst predictions.
The market resolves on May 28, 2026, after the highest temperature in Qingdao on May 28 has been recorded. Resolution depends on official temperature data from a designated meteorological source for Qingdao. The winning outcome is determined by which temperature range or threshold the actual recorded high falls into. All positions in non-winning outcomes expire worthless, while holders of the correct outcome receive full payout. Traders should monitor official weather station reports and any platform announcements regarding data sources in the days leading to resolution.
Several factors can shift odds for Qingdao's May 28 high temperature. Major weather pattern changes, such as shifts in monsoon timing or unexpected cold fronts, will influence trader expectations. Updated seasonal forecasts and extended-range weather models released closer to May will drive repricing. Unusual atmospheric conditions, ocean temperature anomalies, or climate indices like the North Atlantic Oscillation can alter probability estimates. Real-time weather updates in late May will cause sharp moves as traders refine predictions based on actual conditions. Trading volume typically increases as the event date approaches, reflecting heightened market attention and information flow.