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Consecutive days of average temperature in Houston above 90°F - week of Aug 31, 2026
kalshi

Consecutive days of average temperature in Houston above 90°F - week of Aug 31, 2026

Volume:
$509

5+ consecutive days

 - Kalshi

5+ consecutive days - Kalshi

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Sep 7, 2026

Closed: Sep 6, 11:59 PM EST

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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

5+ consecutive days

View
0%
1%
Yes 0¢No 100¢
100¢
N/A
$506
N/A
N/A
$284
Settled
No
kalshi

3+ consecutive days

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

4+ consecutive days

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

6+ consecutive days

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

2+ consecutive days

View
N/A
N/A
100¢
N/A
N/A
N/A
N/A
N/A
Settled
No
Total markets: 5

Description

This event tracks whether Houston will experience consecutive days of high temperatures during a specific week. It focuses on the number of days in a row where the average temperature exceeds a set threshold, providing insight into potential heatwave conditions.

Kalshi

The event evaluates whether Houston experiences a specified number of consecutive days with average temperatures strictly above 90°F during the week of August 31 to September 6, 2026. Each market corresponds to a different minimum streak length, ranging from two to six consecutive days. For any market to resolve as Yes, the daily average temperature at KIAH must exceed 90°F for the required number of consecutive days within the specified period. The daily average is calculated as the arithmetic mean of hourly temperatures reported by The Weather Company from midnight to midnight local time, rounded to the nearest whole degree. Only days with at least 18 reported hourly values qualify; an average of exactly 90°F does not meet the condition, and any qualifying streak is broken by a day that fails to meet the criteria. Data used for resolution will be the official readings published at the expiration time, with any subsequent revisions disregarded.

Frequently asked questions

On Kalshi, the dashboard for the Houston heat streak market tracks real-time odds, price movements, and 24-hour volume of $220. It shows how traders on Kalshi are pricing the likelihood of consecutive days with average temperatures above 90°F in Houston during the week of August 31, 2026. The interface updates continuously to reflect market sentiment and trading activity, giving users insight into where the market stands on this weather-related event.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, traders set the price through active buying and selling of contracts that represent the two possible outcomes. The current odds reflect the collective judgment of participants about the likelihood of Houston experiencing the required temperature streak. Market depth and liquidity, indicated by a volume of $509, help determine how prices adjust to new information, such as updates from weather services or shifts in atmospheric conditions that affect the forecast.

This market resolves around Sep 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The settlement will depend on official temperature readings and meteorological records for the specified week. As the resolution date approaches, any definitive data from recognized weather institutions will lock in the market result, ending all trading activity and determining payouts for contract holders.

Between now and resolution, this market could shift based on medium- to long-range weather outlooks, updates from national climate services, and any significant shifts in atmospheric patterns that affect Houston’s expected temperatures. Extreme forecast revisions, large-scale climate phenomena such as El Niño developments, or sudden changes in regional weather models may cause traders to adjust their positions, moving the odds toward either outcome as new information emerges.