TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

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30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

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Lowest temperature in Dallas on Jun 29, 2026?
kalshi

Lowest temperature in Dallas on Jun 29, 2026?

Volume:
$9,579

81° or above

 - Kalshi

81° or above - Kalshi

1W

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Positive

Negative

Neutral

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Vol.

·

Resolved Jun 30, 2026

Closed: Jun 30, 2:00 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

81° or above

View
100%
Yes 100¢No 0¢
100¢
N/A
$3,821
N/A
N/A
$2,974
Settled
Yes
kalshi

79° to 80°

0%
Yes 0¢No 100¢
100¢
N/A
$2,879
N/A
N/A
$1,232
Settled
No
kalshi

77° to 78°

0%
Yes 0¢No 100¢
100¢
N/A
$855
N/A
N/A
$573
Settled
No
kalshi

73° to 74°

0%
Yes 0¢No 100¢
100¢
N/A
$763
N/A
N/A
$738
Settled
No
kalshi

72° or below

0%
Yes 0¢No 100¢
100¢
N/A
$651
N/A
N/A
$480
Settled
No
kalshi

75° to 76°

0%
Yes 0¢No 100¢
100¢
N/A
$611
N/A
N/A
$525
Settled
No
Total markets: 6

Description

This market tracks the lowest overnight temperature recorded in Dallas on June 29, 2026. The outcome is determined by the official National Weather Service daily climatological report for the Dallas/Fort Worth area, which provides the minimum temperature reading for that specific date.

Kalshi

Resolution is based on the minimum temperature recorded at Dallas/Fort Worth on June 29, 2026, as reported in the National Weather Service's Climatological Report (Daily) for Dallas, TX. The official data source is accessed via the NWS Regional Headquarters website under the Observed Weather tab. Temperature ranges are divided into six bands: 72°F or below, 73-74°F, 75-76°F, 77-78°F, 79-80°F, and 81°F or above. Each temperature range corresponds to a separate market outcome. Traders should note that preliminary NWS data may be subject to rounding and conversion nuances, and the final official NWS Climatological Report (Daily) serves as the authoritative source, superseding other weather services.

Frequently asked questions

On Kalshi, the Dallas temperature low market dashboard tracks real-time odds and historical price movement for predictions on the lowest temperature in Dallas on June 29, 2026. The interface displays current implied probabilities, allowing traders to monitor how market sentiment shifts as new weather data and seasonal forecasts emerge. You can view trading activity and liquidity metrics to understand market depth and participation levels for this event.

Prediction market odds reflect collective trader expectations and often incorporate signals that traditional meteorological forecasts may lag in pricing. While weather analysts publish seasonal outlooks and historical temperature patterns for late June in Dallas, this market aggregates real-time information and trader conviction into a single probability. Comparing the implied odds here to published forecasts can reveal where the crowd sees divergence from official predictions or where consensus is strongest.

This market resolves around Jun 30, 2026, once the lowest temperature recorded in Dallas on June 29, 2026 is verified against credible public sources. The outcome is determined by the actual observed low temperature on that date, confirmed through official weather records. Resolution occurs shortly after the day concludes and the data is finalized, allowing traders to settle their positions based on the confirmed temperature reading.

Major weather pattern shifts, seasonal climate anomalies, and updated long-range forecasts from meteorological agencies can significantly influence trader positioning. El Niño or La Niña developments, historical temperature records, and atmospheric pressure systems affecting the South-Central United States will shape expectations. As June 2026 approaches, weekly and daily forecasts will become more precise, potentially triggering sharp repricing. Unusual heat waves or cold fronts in the months leading up to the event may also shift the implied probability.