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Highest temperature in Minneapolis on Jul 17, 2026?
kalshi

Highest temperature in Minneapolis on Jul 17, 2026?

Volume:
$22,797

95° to 96°

 - Kalshi

95° to 96° - Kalshi

1W

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Vol.

·

Resolved Jul 18, 2026

Closed: Jul 18, 2:00 AM EST

kalshi

Kalshi

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

95° to 96°

View
100%
Yes 100¢No 0¢
100¢
N/A
$5,876
N/A
N/A
$4,717
Settled
Yes
kalshi

93° to 94°

View
0%
Yes 0¢No 100¢
100¢
N/A
$8,221
N/A
N/A
$7,372
Settled
No
kalshi

97° to 98°

View
0%
Yes 0¢No 100¢
100¢
N/A
$4,000
N/A
N/A
$2,129
Settled
No
kalshi

92° or below

View
0%
Yes 0¢No 100¢
100¢
N/A
$2,504
N/A
N/A
$2,232
Settled
No
kalshi

99° to 100°

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,406
N/A
N/A
$1,129
Settled
No
kalshi

101° or above

View
0%
Yes 0¢No 100¢
100¢
N/A
$792
N/A
N/A
$766
Settled
No
Total markets: 6

Description

This market tracks the highest temperature recorded in Minneapolis on July 17, 2026. The outcome will be determined by the official National Weather Service Climatological Report (Daily) for Minneapolis/St Paul, with resolution based on which temperature range the recorded high falls into.

Kalshi

Resolution is determined by the maximum temperature recorded at Minneapolis/St Paul, MN on July 17, 2026, according to the National Weather Service's Climatological Report (Daily). The official data source is accessed via the NWS Minneapolis office website by navigating to the Observed Weather tab and selecting Minneapolis/St Paul, MN with Daily Climate Report. Traders should use the latest version of the data for the specified date, recognizing that different cities update their reports at varying frequencies. While preliminary NWS data and other weather sources like AccuWeather or Google Weather may provide guidance, the final resolution value is exclusively determined by the NWS Climatological Report (Daily). Preliminary NWS reporting and measurement methods may be subject to rounding and conversion nuances that traders should consider when interpreting data.