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Lowest temperature in San Antonio on Jun 9, 2026?
kalshi

Lowest temperature in San Antonio on Jun 9, 2026?

Volume:
$8,597

75° to 76°

 - Kalshi

75° to 76° - Kalshi

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Jun 10, 2026

Closed: Jun 10, 2:00 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

75° to 76°

View
100%
Yes 100¢No 0¢
100¢
N/A
$2,050
N/A
N/A
$1,578
Settled
Yes
kalshi

77° or above

0%
Yes 0¢No 100¢
100¢
N/A
$4,907
N/A
N/A
$4,046
Settled
No
kalshi

73° to 74°

0%
Yes 0¢No 100¢
100¢
N/A
$690
N/A
N/A
$476
Settled
No
kalshi

69° to 70°

0%
Yes 0¢No 100¢
100¢
N/A
$355
N/A
N/A
$349
Settled
No
kalshi

68° or below

0%
Yes 0¢No 100¢
100¢
N/A
$313
N/A
N/A
$313
Settled
No
kalshi

71° to 72°

0%
Yes 0¢No 100¢
100¢
N/A
$282
N/A
N/A
$280
Settled
No
Total markets: 6

Description

Weather conditions in San Antonio on June 9, 2026, will be tracked based on the minimum temperature recorded by the National Weather Service. The outcome depends on how cold the overnight low becomes on that date.

Frequently asked questions

The PredictionHero dashboard tracks real-time odds and historical price data for the lowest temperature outcome in San Antonio on June 9, 2026, on Kalshi. You can monitor current implied probabilities for each temperature threshold, view 24-hour volume at $7,702, and observe how trader sentiment shifts as the event date approaches. The dashboard displays the leading outcome and lets you compare current odds against historical trends, helping you identify whether the market is pricing in seasonal weather patterns, climate anomalies, or recent forecast updates for that specific date in San Antonio.

Prediction market odds on Kalshi reflect real-money trader consensus on the lowest temperature in San Antonio on June 9, 2026, and often diverge from traditional meteorological forecasts. While weather analysts rely on numerical models and historical climatology, prediction markets incorporate trader expectations, recent weather patterns, and long-range climate signals. Comparing Kalshi odds to National Weather Service or private meteorology forecasts can reveal whether markets are pricing in tail risks or unusual seasonal conditions that traditional models may underweight or overlook for that date.

On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. On Kalshi, the lowest temperature in San Antonio on June 9, 2026 is priced as binary or range-based contracts reflecting trader beliefs about the minimum daily temperature. Prices move based on incoming weather forecasts, seasonal trends, and real-time market activity. As June 9, 2026 approaches, Kalshi's pricing will tighten around the most likely outcome as meteorological certainty increases. Traders can enter or exit positions throughout the contract lifetime, and the final price at Jun 10, 2026 will settle based on the actual recorded low temperature for that date in San Antonio.

The market resolves on Jun 10, 2026, after the lowest temperature in San Antonio on June 9, 2026 has been recorded and verified. Resolution is determined by official temperature data for that date, typically sourced from National Weather Service stations or recognized meteorological records for the San Antonio area. Once the actual low temperature is confirmed, the contract settles to reflect which outcome bracket or threshold the recorded value falls into, and traders' positions are finalized based on the settlement price.

Several factors could shift odds for the lowest temperature in San Antonio on June 9, 2026. Major weather pattern changes, such as shifts in the jet stream or development of high or low pressure systems over Texas, will influence long-range forecasts and trader positioning. Seasonal climate anomalies, La Niña or El Niño conditions, and historical temperature records for early June in San Antonio all serve as reference points. As the event date nears, 10-day and extended forecasts will become more precise, typically causing market prices to converge toward the most probable outcome. Unusual heat waves or cold fronts affecting the region weeks prior could also signal changing atmospheric conditions.