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%
Closed: Jul 12, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the lowest temperature recorded at the Shanghai Pudong International Airport Station in degrees Celsius on 12 Jul '26. The resolution source for this market will be information from Wunderground, specifically the lowest temperature recorded for all times on this day for the Shanghai Pudong International Airport Station, available here: https://www.wunderground.com/history/daily/cn/shanghai/ZSPD. To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C. This market can not resolve until the first data point for the following date has been published on the resolution source. The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market. Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
This market will resolve to the temperature range that contains the lowest temperature recorded at the Shanghai Pudong International Airport Station in degrees Celsius on 12 Jul '26. The resolution source for this market will be information from Wunderground, specifically the lowest temperature recorded for all times on this day for the Shanghai Pudong International Airport Station, available here: https://www.wunderground.com/history/daily/cn/shanghai/ZSPD. To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C. This market can not resolve until the first data point for the following date has been published on the resolution source. The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9°C). Thus, this is the level of precision that will be used when resolving the market. Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.
Prediction markets like this one aggregate trader expectations into real-time odds, which often diverge from traditional meteorological forecasts. While weather analysts rely on numerical models and historical data to project the lowest temperature, market participants incorporate those forecasts plus their own assessments of uncertainty and risk. The current odds on this market reflect what traders collectively believe will occur, offering a complementary perspective to official weather bureau predictions. Comparing the two can reveal where public consensus differs from expert models, though both sources provide valuable signals for understanding likely outcomes.
This market resolves around Jul 12, 2026, once the lowest temperature recorded in Shanghai on July 12 becomes verifiable from credible public sources. The outcome is determined by comparing the actual low temperature against the specific threshold outlined in the market's terms. Once the event occurs and data is confirmed, the market settles automatically based on whether the condition was met. Traders should monitor official weather reporting and temperature records as the date approaches to assess their positions.
Several factors could shift odds in this market before Jul 12, 2026. Updated seasonal forecasts, changes in atmospheric patterns, or shifts in climate anomalies could prompt traders to reassess the likelihood of extreme temperatures. Major weather events or pattern changes in the weeks leading up to July 12 may also trigger repricing. Additionally, historical temperature records for Shanghai in mid-July and any emerging climate data could influence trader sentiment. Real-time weather model updates are typically the most immediate catalyst, as they directly inform expectations about the lowest temperature on the specified date.