TOTAL VOLUME:

$134.1b

24H VOL:

$133,388,117

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,436,095,462

405,232

Markets across

30,526

events

MATCHED EVENTS:

2,693

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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Lowest temperature in San Francisco on Jul 8, 2026?
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Lowest temperature in San Francisco on Jul 8, 2026?

Volume:
$5,329

53° to 54°

 - Kalshi

53° to 54° - Kalshi

1W

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Positive

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Vol.

·

Resolved Jul 9, 2026

Closed: Jul 9, 4:00 AM EST

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

53° to 54°

View
100%
Yes 100¢No 0¢
100¢
N/A
$1,709
N/A
N/A
$1,135
Settled
Yes
kalshi

55° to 56°

0%
Yes 0¢No 100¢
100¢
N/A
$1,796
N/A
N/A
$1,087
Settled
No
kalshi

57° or above

0%
Yes 0¢No 100¢
100¢
N/A
$685
N/A
N/A
$607
Settled
No
kalshi

51° to 52°

0%
Yes 0¢No 100¢
100¢
N/A
$635
N/A
N/A
$544
Settled
No
kalshi

49° to 50°

0%
Yes 0¢No 100¢
100¢
N/A
$370
N/A
N/A
$285
Settled
No
kalshi

48° or below

0%
Yes 0¢No 100¢
100¢
N/A
$133
N/A
N/A
$128
Settled
No
Total markets: 6

Description

This market tracks the overnight low temperature in San Francisco on July 8, 2026, as recorded by the National Weather Service at San Francisco Airport. The outcome will be determined by the official NWS Climatological Report (Daily), which may differ from other weather sources due to measurement methods and rounding conventions.

Kalshi

Resolution is based on the minimum temperature recorded at San Francisco Airport on July 8, 2026, according to the National Weather Service's Climatological Report (Daily). The temperature is divided into six ranges: 48°F or below, 49-50°F, 51-52°F, 53-54°F, 55-56°F, and 57°F or above. Each range corresponds to a distinct market outcome. Data must be obtained from the official NWS source at the specified URL, navigating to the Observed Weather tab and selecting San Francisco Airport with Daily Climate Report. Traders should note that preliminary NWS data may be subject to rounding and conversion nuances, and the official final value from the NWS Climatological Report (Daily) takes precedence over other weather services.

Frequently asked questions

On Kalshi, the San Francisco temperature market dashboard tracks real-time odds and historical price movements for the lowest temperature expected in San Francisco on July 8, 2026. The interface displays current market pricing, 24-hour trading volume, and outcome probabilities as traders place bets on whether the low will fall within specific temperature ranges. This live data reflects the collective forecast of market participants and updates continuously as new trades execute. The dashboard helps you monitor how sentiment shifts as the event date approaches and compare different temperature outcome bands side by side.

Prediction market odds often diverge from traditional weather analyst forecasts because they incorporate real-time trader behavior and financial incentives alongside meteorological models. While professional forecasters rely on atmospheric data and historical patterns, this market aggregates the beliefs of many participants betting their own capital on the outcome. Analyst predictions tend to be more conservative and model-driven, whereas market odds can shift rapidly based on new information or trading activity. Comparing the two reveals whether the crowd is pricing in more or less temperature volatility than experts expect for that July date in San Francisco.

This market resolves around Jul 9, 2026, after July 8, 2026 has passed and the lowest temperature for that day in San Francisco is confirmed. The outcome is determined by verifying the actual low temperature against credible public weather data sources. Once the event is verifiable, the platform settles all positions automatically, paying out traders who correctly predicted the temperature range. Your winnings depend on which outcome band you held and whether it matches the verified low for that date.

Several factors could shift odds in this market before July 2026. Seasonal weather pattern updates, El Niño or La Niña forecasts, and long-range climate models may influence trader expectations of San Francisco's summer temperatures. Major atmospheric events or shifts in historical climate data could prompt repricing. As the event date draws closer, short-range meteorological forecasts become more reliable and often trigger sharp price movements. Breaking news about unusual weather systems or heat waves in the region could also drive sudden trading activity and change the implied probabilities across different temperature outcome bands.