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Science and Technology
Highest temperature in Houston on Jul 28, 2026?
kalshi

Highest temperature in Houston on Jul 28, 2026?

Volume:
$26,931

96° or below

 - Kalshi

96° or below - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 29, 2026

Closed: Jul 29, 2:00 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

96° or below

View
100%
Yes 100¢No 0¢
100¢
N/A
$12,332
N/A
N/A
$7,564
Settled
Yes
kalshi

97° to 98°

View
0%
Yes 0¢No 100¢
100¢
N/A
$8,734
N/A
N/A
$4,270
Settled
No
kalshi

99° to 100°

View
0%
Yes 0¢No 100¢
100¢
N/A
$3,494
N/A
N/A
$2,550
Settled
No
kalshi

101° to 102°

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,141
N/A
N/A
$1,119
Settled
No
kalshi

105° or above

View
0%
Yes 0¢No 100¢
100¢
N/A
$1,029
N/A
N/A
$1,018
Settled
No
kalshi

103° to 104°

View
0%
Yes 0¢No 100¢
100¢
N/A
$200
N/A
N/A
$196
Settled
No
Total markets: 6

Description

This event tracks the highest temperature recorded in Houston on a specific date in the future, using official government data. Participants assess climate conditions and historical trends to predict temperature ranges, with outcomes determined by verified meteorological reports.

Kalshi

The event resolves based on the maximum temperature recorded in Houston on July 28, 2026, as officially reported by the National Weather Service's Climatological Report (Daily) for Houston-Hobby, TX. Six distinct temperature ranges are defined, each corresponding to a separate market outcome. If the recorded temperature falls within a specific range, that market resolves to Yes, with all others resolving to No. The official data source must be accessed via the provided NWS URL, and traders should use the latest available report for the date. All outcomes rely exclusively on NWS data—no alternative sources or preliminary readings are valid for resolution. Traders must account for potential rounding, conversion nuances, and reporting delays inherent in meteorological data.