TOTAL VOLUME:

$134.1b

24H VOL:

$113,466,932

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,423,222,590

402,751

Markets across

30,217

events

MATCHED EVENTS:

2,632

PLATFORM COVERAGE:

5

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Highest temperature in Toronto on June 2?
polymarket

Highest temperature in Toronto on June 2?

Volume:
$66,186

25°C

 - Polymarket

25°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 3, 2026

Closed: Jun 2, 8:00 AM EST

polymarket

Polymarket

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

25°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$12,078
N/A
N/A
N/A
Settled
Yes
polymarket

27°C or higher

0%
Yes 0¢No 100¢
—
N/A
$19,156
N/A
N/A
N/A
Settled
No
polymarket

26°C

0%
Yes 0¢No 100¢
—
N/A
$11,438
N/A
N/A
N/A
Settled
No
polymarket

24°C

0%
Yes 0¢No 100¢
—
N/A
$9,296
N/A
N/A
N/A
Settled
No
polymarket

23°C

0%
Yes 0¢No 100¢
—
N/A
$4,613
N/A
N/A
N/A
Settled
No
polymarket

22°C

0%
Yes 0¢No 100¢
—
N/A
$3,486
N/A
N/A
N/A
Settled
No
polymarket

21°C

0%
Yes 0¢No 100¢
—
N/A
$2,853
N/A
N/A
N/A
Settled
No
polymarket

20°C

0%
Yes 0¢No 100¢
—
N/A
$2,083
N/A
N/A
N/A
Settled
No
polymarket

19°C

0%
Yes 0¢No 100¢
—
N/A
$566
N/A
N/A
N/A
Settled
No
polymarket

18°C

0%
Yes 0¢No 100¢
—
N/A
$354
N/A
N/A
N/A
Settled
No
polymarket

17°C or below

0%
Yes 0¢No 100¢
—
N/A
$262
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 2 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

Prediction market odds reflect aggregated bets from thousands of traders and typically incorporate meteorological data, seasonal patterns, and recent climate trends. Traditional analyst forecasts from Environment Canada or weather services may differ from market prices because traders price in uncertainty and tail risks differently than statistical models. Comparing market-implied probabilities to official weather forecasts can reveal whether traders are more bullish or bearish on extreme temperatures than professional meteorologists expect for Toronto on June 2.

On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Polymarket, this event is priced using an automated market maker model where traders buy and sell shares corresponding to specific temperature ranges or outcomes. The current odds reflect the balance of buy and sell orders in the liquidity pool. As traders adjust their positions based on new weather data or seasonal expectations, the price continuously updates. The market typically narrows as June 2 approaches and actual forecasts become more precise.

The market resolves on Jun 2, 2026, after the highest temperature in Toronto on June 2 has been recorded and verified. The outcome is determined by official temperature data from Environment Canada or the designated reference weather station for Toronto. Once the final high temperature is confirmed, the market settles to the outcome bracket or specific temperature that matches the recorded value, and traders' positions are paid out accordingly.

Major weather pattern shifts, updated seasonal forecasts, and atmospheric pressure systems tracking toward Ontario can significantly move odds. El Niño or La Niña conditions, jet stream positioning, and historical temperature anomalies for early June influence trader expectations. Real-time weather model updates from meteorological agencies often trigger repricing. Additionally, unusual heat waves or cold snaps in neighboring regions may signal similar conditions arriving in Toronto, causing traders to adjust their temperature outcome probabilities.