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 29, 8:00 AM EST
Polymarket
This market tracks the peak daily temperature expected in Beijing on May 29, 2026, measured at the Capital International Airport Station. On Polymarket, the leading outcome—a high of 34°C—stands at 34.5%, while a high of 33°C carries 22.5% probability. Resolution will be determined by historical temperature data from Weather Underground. Watch for weather forecasts and seasonal patterns as May 29, 2026 approaches to gauge whether Beijing will experience the warmer or more moderate conditions this market is pricing.
Prediction market odds on Polymarket reflect real-time trader consensus on Beijing's May 29 high temperature, often incorporating meteorological models and seasonal patterns faster than traditional analyst forecasts. While weather analysts typically issue point estimates or ranges based on historical data and atmospheric modeling, prediction markets aggregate distributed information from many participants with financial incentives to be accurate. Market odds can diverge from analyst consensus when traders anticipate unusual weather patterns, climate anomalies, or late-breaking meteorological developments that formal forecasts have not yet fully priced in.
The market resolves on May 29, 2026, after the trading day concludes in Beijing on May 29. Resolution is determined by the official highest temperature recorded for that date in Beijing. The outcome is settled based on verified meteorological data from authoritative weather sources, ensuring that the final temperature reading is accurate and undisputed. Once the day's high is confirmed, the market automatically settles all positions according to whether the actual temperature matched the predicted threshold.
Several factors could shift odds for Beijing's May 29 high temperature. Major weather pattern changes, such as unexpected cold fronts, heat waves, or monsoon activity, would move markets significantly. Updated seasonal forecasts from meteorological agencies and real-time atmospheric data releases can trigger repricing. Proximity to resolution also matters: as May 29 approaches, short-term weather models become more reliable, often narrowing uncertainty and stabilizing odds. Historical temperature anomalies, urban heat island effects, and any unusual climate events in the weeks leading up to the date could also influence trader positioning and market prices.