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: Jun 11, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the highest temperature recorded at the Munich Airport Station in degrees Celsius on 11 Jun '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 Munich Airport Station, available here: https://www.wunderground.com/history/daily/de/munich/EDDM. 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 Munich Airport Station in degrees Celsius on 11 Jun '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 Munich Airport Station, available here: https://www.wunderground.com/history/daily/de/munich/EDDM. 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.
On Polymarket, the highest temperature in Munich on June 11 is priced through an automated market maker or order-book mechanism where traders buy and sell shares corresponding to specific temperature ranges or exact outcomes. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each outcome's price reflects the collective belief of Polymarket participants about its likelihood. As traders place orders, prices adjust in real time. The current odds and recent trading volume are visible on the event page, showing which temperature ranges are attracting the most capital and conviction from the prediction market community.
The market resolves on Jun 11, 2026, after June 11, 2026 concludes in Munich. Resolution is determined by the official highest temperature recorded in Munich on that date. The specific data source and measurement methodology are defined in the market's resolution criteria to ensure an objective, verifiable outcome. Once the day ends and the official temperature reading is confirmed, the market settles according to which outcome bracket or exact value the recorded high falls into, and traders' positions are paid out accordingly.
Major weather pattern shifts, including changes to the jet stream, high-pressure systems, or Atlantic storm tracks, can significantly alter Munich's expected June 11 temperature. Long-range forecasts from meteorological agencies often update 10–14 days before the event, potentially moving odds if they predict unseasonable heat or cooler conditions. Climate anomalies, volcanic activity affecting solar radiation, or unusual ocean temperatures can also influence outcomes. As June 11 approaches, daily weather models become more precise, typically causing odds to converge toward a narrower range. Real-time atmospheric data and forecast confidence levels are key catalysts traders monitor.