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 whether the highest temperature recorded in Guangzhou will reach 37°C on May 29, 2026. On Polymarket, the 37°C outcome is priced at 37.5%, while the 36°C outcome stands at 29.5%. Resolution will be determined by historical temperature data from Weather Underground, using readings from Guangzhou Baiyun International Airport Station. Watch the actual weather conditions as May 29, 2026 approaches, as seasonal heat patterns and any anomalous weather systems will be critical to determining whether temperatures reach the 37°C threshold.
Prediction market odds on Polymarket reflect real-money bets from traders and often diverge from traditional meteorological forecasts. While weather analysts issue deterministic or probabilistic temperature ranges based on climate models, prediction markets incorporate broader information including historical patterns, recent atmospheric data, and trader conviction. The market price for Highest temperature in Guangzhou on May 29 can shift rapidly if new weather models emerge or if consensus among meteorologists changes. Comparing market odds to official forecasts from regional weather services helps identify whether traders are pricing in tail risks or overweighting recent trends.
The market resolves on May 29, 2026, after the highest temperature in Guangzhou on May 29 is recorded and verified. Resolution depends on official temperature data from recognized meteorological sources for Guangzhou on that specific date. The outcome is determined by comparing the actual recorded high temperature against the predefined thresholds embedded in each market outcome. Once the official reading is confirmed, the market settles automatically, and traders' positions are credited or debited based on whether their chosen outcome matched the final result.
Several factors could shift odds for Highest temperature in Guangzhou on May 29 before resolution. Updated weather models from meteorological agencies, particularly those issued 7–14 days before May 29, often trigger significant repricing as traders gain more confidence in forecasts. Seasonal climate patterns, El Niño or La Niña conditions, and historical temperature anomalies for late May in Guangzhou also influence market sentiment. Real-time atmospheric pressure, humidity, and wind patterns reported closer to the date can move prices sharply. Major weather events or unusual heat waves in the region may prompt traders to reassess tail-risk outcomes, causing rapid volatility in market odds.