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Lowest temperature in San Francisco on Jun 11, 2026?
kalshi

Lowest temperature in San Francisco on Jun 11, 2026?

Volume:
$19,018

58° to 59°

 - Kalshi

58° to 59° - Kalshi

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Vol.

·

Resolved Jun 12, 2026

Closed: Jun 12, 4:00 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

58° to 59°

View
100%
Yes 100¢No 0¢
100¢
N/A
$5,368
N/A
N/A
$3,814
Settled
Yes
kalshi

60° or above

0%
Yes 0¢No 100¢
100¢
N/A
$4,884
N/A
N/A
$3,812
Settled
No
kalshi

56° to 57°

0%
Yes 0¢No 100¢
100¢
N/A
$2,701
N/A
N/A
$1,578
Settled
No
kalshi

54° to 55°

0%
Yes 0¢No 100¢
100¢
N/A
$2,639
N/A
N/A
$1,759
Settled
No
kalshi

51° or below

0%
Yes 0¢No 100¢
100¢
N/A
$1,759
N/A
N/A
$1,554
Settled
No
kalshi

52° to 53°

0%
Yes 0¢No 100¢
100¢
N/A
$1,668
N/A
N/A
$1,310
Settled
No
Total markets: 6

Description

The minimum temperature in San Francisco on June 11, 2026, will be recorded by the National Weather Service, with the outcome depending on which temperature range is observed.

Kalshi

Resolution is determined by the minimum temperature recorded at San Francisco Airport on June 11, 2026, as reported in the National Weather Service's Climatological Report (Daily). The market divides the temperature range into five distinct bands: 51°F or below, 52-53°F, 54-55°F, 56-57°F, 58-59°F, and 60°F or above. Each temperature range corresponds to a specific market outcome. Official data must be obtained from the NWS Climatological Report accessed via the specified URL, selecting San Francisco Airport with Daily Climate Report. While preliminary data from other sources like AccuWeather or Google Weather may provide guidance, only the official NWS Climatological Report (Daily) determines final resolution. Traders should be aware that preliminary NWS reporting and measurement methods may involve rounding and conversion nuances that could affect interpretation of borderline values.

Frequently asked questions

Prediction market odds on Kalshi reflect aggregated trader beliefs about San Francisco's low temperature on June 11, 2026, and often diverge from traditional meteorological forecasts. While weather analysts rely on numerical models and historical climate data, prediction markets incorporate real-time information, trader expertise, and financial incentives. Comparing Kalshi odds to National Weather Service seasonal outlooks or climate analyst consensus can reveal whether markets are pricing in more optimistic or pessimistic temperature scenarios. This comparison helps identify whether market participants expect conditions warmer or cooler than official forecasts suggest.

On Kalshi, the lowest temperature in San Francisco on June 11 is priced through binary or range-based contracts that divide possible outcomes into discrete temperature buckets. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Each contract trades between 0 and 100 cents, with the price reflecting the probability traders assign to that temperature range occurring. As new weather data emerges and the event date approaches, prices adjust dynamically based on supply and demand. Traders can buy or sell contracts corresponding to their temperature expectations, with payouts determined by the actual recorded low on June 11.

The market resolves on Jun 12, 2026, after the lowest temperature for June 11, 2026 in San Francisco has been officially recorded. Resolution depends on the actual minimum temperature reading from the designated weather station or official source specified by Kalshi at market creation. Once the data is confirmed and published, the contract settles to reflect which temperature outcome occurred. Traders holding contracts matching the resolved outcome receive their proportional payout, while those on incorrect outcomes receive nothing.

Several factors can shift odds for San Francisco's June 11 low temperature. Major weather pattern changes—such as shifts in the Pacific jet stream, development of marine layer conditions, or arrival of high-pressure systems—will influence market pricing. Updated seasonal climate forecasts and long-range weather models released closer to June will trigger repricing. El Niño or La Niña conditions, historical temperature anomalies, and urban heat island effects specific to San Francisco also matter. As June approaches, short-range forecasts become more reliable, typically causing odds to converge toward the most likely outcome.