TOTAL VOLUME:

$134.2b

24H VOL:

$126,324,530

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,434,646,834

406,019

Markets across

30,401

events

MATCHED EVENTS:

2,689

PLATFORM COVERAGE:

5

Polymarket:

39%

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Kalshi:

61%

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Highest temperature in Denver on July 12?
polymarket

Highest temperature in Denver on July 12?

Volume:
$24,135

96-97°F

 - Polymarket

96-97°F - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jul 13, 2026

Closed: Jul 12, 8:00 AM EST

polymarket

Polymarket

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
polymarket

96-97°F

View
100%
Yes 100¢No 0¢
0.1¢
N/A
$2,854
N/A
N/A
N/A
Settled
Yes
polymarket

94-95°F

0%
Yes 0¢No 100¢
—
N/A
$6,544
N/A
N/A
N/A
Settled
No
polymarket

100-101°F

0%
Yes 0¢No 100¢
—
N/A
$3,044
N/A
N/A
N/A
Settled
No
polymarket

92-93°F

0%
Yes 0¢No 100¢
—
N/A
$2,580
N/A
N/A
N/A
Settled
No
polymarket

90-91°F

0%
Yes 0¢No 100¢
—
N/A
$2,340
N/A
N/A
N/A
Settled
No
polymarket

102-103°F

0%
Yes 0¢No 100¢
—
N/A
$2,305
N/A
N/A
N/A
Settled
No
polymarket

98-99°F

0%
Yes 0¢No 100¢
—
N/A
$2,038
N/A
N/A
N/A
Settled
No
polymarket

104-105°F

0%
Yes 0¢No 100¢
—
N/A
$791
N/A
N/A
N/A
Settled
No
polymarket

88-89°F

0%
Yes 0¢No 100¢
—
N/A
$699
N/A
N/A
N/A
Settled
No
polymarket

87°F or below

0%
Yes 0¢No 100¢
—
N/A
$526
N/A
N/A
N/A
Settled
No
polymarket

106°F or higher

0%
Yes 0¢No 100¢
—
N/A
$414
N/A
N/A
N/A
Settled
No
Total markets: 11

Description

This market will resolve to the temperature range that contains the highest temperature recorded at the Buckley Space Force Base Station in degrees Fahrenheit on 12 Jul '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Buckley Space Force Base Station, available here: https://www.wunderground.com/history/daily/us/co/aurora/KBKF. To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C. This market can not resolve until the first data point for the following date has been published on the resolution source. The resolution source for this market measures temperatures to whole degrees Fahrenheit (eg, 21°F). Thus, this is the level of precision that will be used when resolving the market. Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.

Polymarket

This market will resolve to the temperature range that contains the highest temperature recorded at the Buckley Space Force Base Station in degrees Fahrenheit on 12 Jul '26. The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day for the Buckley Space Force Base Station, available here: https://www.wunderground.com/history/daily/us/co/aurora/KBKF. To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between °F and °C. This market can not resolve until the first data point for the following date has been published on the resolution source. The resolution source for this market measures temperatures to whole degrees Fahrenheit (eg, 21°F). Thus, this is the level of precision that will be used when resolving the market. Revisions to temperatures recorded within this market's timeframe will be considered until the first datapoint for the following date has been published, after which any alterations will not be considered.

Frequently asked questions

On Polymarket, the Denver July 12 temperature market dashboard tracks real-time odds and trading activity for outcomes tied to the highest temperature forecast in Denver on that date. The interface displays current market prices, historical price movements, and volume of $24,135 in total trading activity. Traders use this data to monitor consensus expectations around specific temperature ranges. The dashboard updates continuously as new trades execute, allowing participants in the Denver July 12 temperature market to assess shifting sentiment and adjust positions accordingly.

Prediction market odds often diverge from traditional weather forecasts because they reflect real-time trader conviction rather than model-based predictions alone. While meteorologists publish point estimates and confidence intervals based on atmospheric data, this market aggregates the collective judgment of participants betting on specific temperature outcomes. Analyst forecasts tend to be more conservative and probabilistically distributed, whereas market odds can spike sharply when new information emerges or when a particular outcome attracts concentrated trading interest. Both sources offer value: analysts provide scientific rigor, while markets capture dynamic risk assessment.

This market resolves around Jul 12, 2026, once the highest temperature recorded in Denver on July 12 becomes verifiable from credible public sources. The outcome is determined by comparing actual recorded temperatures against the specific ranges defined in each market option. Resolution occurs after the event concludes and official data is confirmed, ensuring all traders have access to the same factual basis for settlement. Participants should monitor official weather reporting channels as the date approaches to understand how their positions will be adjudicated.

Several factors can shift odds in this market before Jul 12, 2026. Updated seasonal forecasts, atmospheric pressure systems, and long-range weather models published by meteorological agencies often trigger repricing as traders incorporate new data. Major weather events or pattern shifts weeks in advance can alter expectations for mid-July conditions in Denver. Real-time developments—such as heat waves affecting the region or cooler-than-normal patterns—will drive trading activity closer to the event date. Historical temperature anomalies and climate indices like El Niño or La Niña can also influence participant positioning as they adjust their probability assessments.