TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 13, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the highest temperature recorded at the Singapore Changi Airport Station in degrees Celsius on 13 Jul '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Singapore Changi Airport Station, available here: https://www.wunderground.com/history/daily/sg/singapore/WSSS. 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 highest temperature recorded at the Singapore Changi Airport Station in degrees Celsius on 13 Jul '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Singapore Changi Airport Station, available here: https://www.wunderground.com/history/daily/sg/singapore/WSSS. 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 market odds often diverge from traditional meteorological forecasts because they reflect real-money incentives and crowdsourced expectations rather than model-based predictions alone. While weather analysts rely on atmospheric data and historical patterns, traders in this market incorporate broader information—including recent climate trends, seasonal anomalies, and consensus from the prediction community. Comparing the odds here to published forecasts from meteorological agencies can reveal where the crowd expects conditions to deviate from standard models, offering a complementary perspective on the likely outcome.
On Polymarket, this market is priced through an automated market maker that converts trader positions into real-time odds. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome is represented as a contract, and the price of each reflects the collective probability assigned by active traders. As new trades flow in, the odds adjust dynamically, ensuring the market continuously reprices based on fresh information and shifting sentiment about the temperature threshold.
This market resolves around Jul 13, 2026, once the highest temperature recorded in Singapore on July 13 is verifiable from credible public sources. The outcome is determined by comparing the actual recorded high against the threshold specified in the market contract. Resolution typically occurs within hours of the close of the trading day, after official temperature data has been published and confirmed by meteorological authorities.
Several factors can shift odds in this market before resolution. Updated weather forecasts from major meteorological agencies—especially those predicting unusual heat or cooler conditions—often trigger repricing. Seasonal climate anomalies, El Niño or La Niña patterns, and recent temperature records in the region can all influence trader expectations. Additionally, real-time weather developments in the days leading up to July 13, such as unexpected atmospheric systems or heat waves, will likely drive significant trading activity and price movement as the event date draws near.