TOTAL VOLUME:
$134.2b
24H VOL:
$134,145,987
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,441,166,947
406,422
Markets across
30,383
events
MATCHED EVENTS:
2,688
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 6, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the highest temperature recorded at the Toronto Pearson Intl Airport Station in degrees Celsius on 6 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 Toronto Pearson Intl Airport Station, available here: https://www.wunderground.com/history/daily/ca/mississauga/CYYZ. 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.
The market resolves on Jun 6, 2026, after the highest temperature in Toronto on June 6 has been recorded and verified. Resolution is determined by official temperature data for that date, typically sourced from Environment Canada or recognized meteorological authorities. The outcome is binary or categorical depending on the specific contract structure—for example, whether the high reaches a specified threshold or falls within a defined range. Once the actual temperature is confirmed, the market settles automatically and traders receive payouts based on their positions and the final result.
Several factors could shift market odds for Toronto's June 6 high temperature. Updated seasonal forecasts and long-range weather models from meteorological agencies may indicate warming or cooling trends. Major weather systems—such as high-pressure ridges or cold fronts—developing in the days before June 6 would trigger repricing. Historical temperature anomalies and climate patterns for early June in Toronto provide baseline expectations. Real-time atmospheric data, jet stream positioning, and solar activity can influence trader sentiment. As June 6 approaches, short-range forecasts become more reliable, typically causing prices to converge toward the expected outcome and reducing uncertainty in the market.