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Science and Technology
Lowest temperature in Miami on Sep 1, 2026?
kalshi

Lowest temperature in Miami on Sep 1, 2026?

Volume:
$148,386

75° to 76°

 - Kalshi

75° to 76° - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 2, 2026

Closed: Sep 2, 1:00 AM EST

kalshi

Kalshi

View
Join Kalshi and score $25 for your first trade.
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
kalshi

75° to 76°

View
100%
60%
Yes 100¢No 0¢
100¢
N/A
$20,683
N/A
N/A
$13,065
Settled
Yes
kalshi

79° to 80°

View
0%
8%
Yes 0¢No 100¢
100¢
N/A
$86,077
N/A
N/A
$33,328
Settled
No
kalshi

77° to 78°

View
0%
65%
Yes 0¢No 100¢
100¢
N/A
$26,700
N/A
N/A
$25,808
Settled
No
kalshi

74° or below

View
0%
2%
Yes 0¢No 100¢
100¢
N/A
$10,265
N/A
N/A
$6,722
Settled
No
kalshi

81° to 82°

View
0%
1%
Yes 0¢No 100¢
100¢
N/A
$3,908
N/A
N/A
$3,908
Settled
No
kalshi

83° or above

View
0%
Yes 0¢No 100¢
100¢
N/A
$753
N/A
N/A
$753
Settled
No
Total markets: 6

Description

This event tracks the lowest temperature recorded in Miami on a specific date in the future, using data from a designated weather service. The outcome depends on where the temperature falls within predefined ranges, reflecting how weather patterns can influence expectations and planning for that day.

Kalshi

The event resolves based on the minimum temperature recorded at Miami (CLIMIA) on September 1, 2026, as reported by The Weather Company. Six distinct temperature ranges are defined, each corresponding to a different market outcome. If the minimum temperature is less than 75°F, the '74° or below' market resolves to Yes. If it falls between 75°F and 76°F, the '75° to 76°' market resolves to Yes, and this pattern continues for subsequent ranges up to '83° or above.' All markets use The Weather Company as the sole source for official temperature data. Users should note that preliminary readings may differ due to rounding or conversion variances, and only the final reported value determines the resolution. This structure ensures clarity and consistency in evaluating the event, despite potential discrepancies in other weather data sources.