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

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

Volume:
$296

4+ consecutive days

 - Kalshi

4+ consecutive days - Kalshi

1W

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Positive

Negative

Neutral

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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

4+ consecutive days

View
0%
Yes 0¢No 100¢
100¢
N/A
$201
N/A
N/A
$201
Settled
No
kalshi

2+ consecutive days

View
0%
Yes 0¢No 100¢
100¢
N/A
$63
N/A
N/A
$63
Settled
No
kalshi

3+ consecutive days

View
0%
Yes 0¢No 100¢
100¢
N/A
$24
N/A
N/A
$24
Settled
No
kalshi

5+ consecutive days

View
0%
3%
Yes 0¢No 100¢
100¢
N/A
$6
N/A
N/A
$6
Settled
No
kalshi

6+ consecutive days

View
0%
2%
Yes 0¢No 100¢
100¢
N/A
$2
N/A
N/A
$2
Settled
No
Total markets: 5

Description

This event tracks temperature patterns in Las Vegas over a specific week, focusing on how many consecutive days experience high average temperatures. It examines whether the area maintains elevated temperatures across multiple days in sequence, reflecting potential heatwave conditions. The outcome depends on daily temperature data collected from a designated weather station.

Kalshi

Multiple markets within this event evaluate consecutive days of average temperatures above 90°F in Las Vegas during the week of August 31 to September 6, 2026, each requiring a different minimum number of consecutive qualifying days to resolve to Yes. All markets use data from the KLAS weather station, with a day's average temperature calculated as the arithmetic mean of hourly temperatures from 12:00 AM to 11:59 PM local time, rounded to the nearest whole degree. Only days within the specified date range count toward a streak, and an average of exactly 90°F does not qualify. Any day with fewer than 18 reported hourly values invalidates that day and breaks the streak. The data used for resolution is the version published at the expiration time, with later revisions disregarded. Markets resolve to Yes if the required number of consecutive days (ranging from 2 to 6 days) all meet the strict greater-than-90°F threshold.

Frequently asked questions

On Kalshi, the Las Vegas heat streak market dashboard tracks real-time odds, price history, and 24-hour volume of $200. This tool shows how traders on Kalshi are pricing the likelihood of consecutive days with average temperatures above 90°F in Las Vegas during the week of August 31, 2026. The dashboard updates continuously to reflect market sentiment and trading activity, giving users insight into speculative interest and shifting expectations for the upcoming heat streak.

Compared to analyst forecasts, prediction market odds for this market often reflect a more nuanced, real-time aggregation of diverse opinions. While analysts may issue periodic reports based on climate models and historical trends, traders adjust positions daily as new weather data emerges. This can lead to tighter or wider spreads depending on recent conditions. Monitoring both sources provides a fuller picture of expected temperature patterns and potential deviations from established forecasts.

This market resolves around Sep 8, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, official temperature readings from recognized meteorological sources for Las Vegas will be examined for the week of August 31, 2026. The number of consecutive days where the average temperature exceeds 90°F will determine the final result, closing the market once the data is finalized and publicly available.

Several signals could shift this market before resolution. Updates from major weather forecasting agencies, sudden changes in atmospheric patterns, or an early onset of extreme heat will influence trader sentiment. Additionally, regional climate phenomena such as El Niño or monsoon activity could impact temperature trends. As the week approaches, hourly weather model revisions and real-time temperature deviations from projections will likely cause the most significant price swings.