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Highest temperature in Buenos Aires on June 9?
polymarket

Highest temperature in Buenos Aires on June 9?

Volume:
$48,254

15°C

 - Polymarket

15°C - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 10, 2026

Closed: Jun 9, 8:00 AM EST

polymarket

Polymarket

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

15°C

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$5,710
N/A
N/A
N/A
Settled
Yes
polymarket

14°C

View
0%
Yes 0¢No 100¢
—
N/A
$9,259
N/A
N/A
N/A
Settled
No
polymarket

12°C

View
0%
Yes 0¢No 100¢
—
N/A
$8,699
N/A
N/A
N/A
Settled
No
polymarket

13°C

View
0%
Yes 0¢No 100¢
—
N/A
$7,585
N/A
N/A
N/A
Settled
No
polymarket

11°C

View
0%
Yes 0¢No 100¢
—
N/A
$5,842
N/A
N/A
N/A
Settled
No
polymarket

16°C

View
0%
Yes 0¢No 100¢
—
N/A
$5,224
N/A
N/A
N/A
Settled
No
polymarket

17°C

View
0%
Yes 0¢No 100¢
—
N/A
$3,330
N/A
N/A
N/A
Settled
No
polymarket

20°C or higher

View
0%
Yes 0¢No 100¢
—
N/A
$869
N/A
N/A
N/A
Settled
No
polymarket

10°C or below

View
0%
Yes 0¢No 100¢
—
N/A
$780
N/A
N/A
N/A
Settled
No
polymarket

19°C

View
0%
Yes 0¢No 100¢
—
N/A
$527
N/A
N/A
N/A
Settled
No
polymarket

18°C

View
0%
Yes 0¢No 100¢
—
N/A
$428
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 Minister Pistarini Intl Airport Station in degrees Celsius on 9 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 Minister Pistarini Intl Airport Station, available here: https://www.wunderground.com/history/daily/ar/ezeiza/SAEZ. 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 on Polymarket reflect aggregated trader expectations and often incorporate meteorological forecasts, historical climate patterns, and seasonal data for Buenos Aires in early June. Traditional weather analysts and climate models typically issue deterministic forecasts or confidence ranges, while prediction markets express probabilities across discrete temperature bands. Market odds may diverge from analyst point estimates when traders price in tail risks or uncertainty that conventional forecasts underweight. Comparing the two reveals how much additional risk premium or skepticism the market assigns relative to expert consensus.

The market resolves on Jun 9, 2026, after the highest temperature in Buenos Aires on June 9 has been recorded and reported. Resolution is determined by the actual observed maximum temperature on that date, measured according to standard meteorological protocols for the Buenos Aires region. Once the official temperature reading is confirmed, the market settles based on which outcome bracket the final value falls into. Traders holding shares in the correct outcome receive their payout, while incorrect positions expire worthless.

Key signals include updated weather forecasts from meteorological agencies, seasonal temperature anomalies, atmospheric pressure systems approaching Buenos Aires, and historical climate data for early June in the region. Major weather events such as cold fronts, heat waves, or unusual jet stream patterns can shift market odds significantly. Real-time temperature readings in the days leading up to June 9 provide traders with calibration points. Additionally, any revisions to climate models or long-range forecasts may trigger repricing as participants adjust their probability estimates closer to the resolution date.