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%

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Highest temperature in Toronto on June 11?
polymarket

Highest temperature in Toronto on June 11?

Volume:
$55,802

31°C

 - Polymarket

31°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 12, 2026

Closed: Jun 11, 8:00 AM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

31°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$12,183
N/A
N/A
N/A
Settled
Yes
polymarket

32°C

0%
Yes 0¢No 100¢
—
N/A
$8,509
N/A
N/A
N/A
Settled
No
polymarket

30°C

0%
Yes 0¢No 100¢
—
N/A
$7,579
N/A
N/A
N/A
Settled
No
polymarket

33°C

0%
Yes 0¢No 100¢
—
N/A
$7,319
N/A
N/A
N/A
Settled
No
polymarket

27°C

0%
Yes 0¢No 100¢
—
N/A
$5,244
N/A
N/A
N/A
Settled
No
polymarket

29°C

0%
Yes 0¢No 100¢
—
N/A
$4,913
N/A
N/A
N/A
Settled
No
polymarket

28°C

0%
Yes 0¢No 100¢
—
N/A
$3,927
N/A
N/A
N/A
Settled
No
polymarket

34°C

0%
Yes 0¢No 100¢
—
N/A
$2,693
N/A
N/A
N/A
Settled
No
polymarket

36°C or higher

0%
Yes 0¢No 100¢
—
N/A
$1,829
N/A
N/A
N/A
Settled
No
polymarket

35°C

0%
Yes 0¢No 100¢
—
N/A
$840
N/A
N/A
N/A
Settled
No
polymarket

26°C or below

0%
Yes 0¢No 100¢
—
N/A
$766
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

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 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 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.

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 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 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.

Frequently asked questions

The dashboard tracks real-time odds and trading activity for the highest temperature recorded in Toronto on June 11, 2026, on Polymarket. It displays the current implied probability of each temperature outcome, 24-hour trading volume of $48,026, and historical price movements. You can monitor how market participants are pricing different temperature ranges as the event date approaches, giving you a live view of collective expectations for that day's peak temperature in Toronto.

Prediction market odds reflect real-money bets from traders and reflect dynamic, crowd-sourced expectations. Traditional weather analyst forecasts, issued by Environment Canada and other meteorological services, rely on numerical weather models and expert interpretation. Markets often price in broader uncertainty and can diverge from single-point forecasts. As June 11 approaches, analyst confidence typically increases and their forecasts narrow, which may or may not align with market pricing depending on new model runs and trader sentiment.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, the highest temperature in Toronto on June 11 is priced through outcome shares, each representing a specific temperature range or threshold. Traders buy and sell these shares, and the current market price of each outcome reflects its implied probability. Liquidity and trading volume determine how easily you can enter or exit positions. The order book shows real-time bid-ask spreads, and prices update continuously as new trades execute throughout the prediction period.

The market resolves on Jun 11, 2026, after the highest temperature in Toronto on June 11 has been recorded and verified. The outcome is determined by official temperature data for that date. Resolution occurs once the final high temperature is confirmed and the winning outcome shares are settled. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless.

Major weather pattern shifts, including changes to jet stream positioning, high-pressure system development, or unexpected cold fronts, can significantly alter temperature expectations. Updated seasonal forecasts and medium-range weather models issued closer to June 11 will refine predictions. Unusual atmospheric conditions, such as volcanic activity or solar variability, may also influence pricing. As the event date nears, traders incorporate increasingly precise meteorological data, causing market odds to adjust in response to new forecasting information.