TOTAL VOLUME:
$134.2b
24H VOL:
$130,522,377
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,438,389,636
404,028
Markets across
30,214
events
MATCHED EVENTS:
2,681
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Sep 20, 11:59 PM EST
Kalshi
This event tracks whether Phoenix will experience consecutive days with average temperatures exceeding 90°F during a specific week. The focus is on identifying temperature patterns over a defined period, reflecting potential impacts of heatwaves on local conditions.
The event evaluates whether Phoenix experiences a specified number of consecutive days with average temperatures strictly above 90°F between September 14 and September 20, 2026. Each market corresponds to a different threshold of consecutive days (from 2 to 6 or more). A day's average temperature is calculated as the arithmetic mean of hourly temperatures reported by The Weather Company from midnight to midnight local time, rounded to the nearest whole degree. Only days within the specified week contribute to the streak. If a day records exactly 90°F, it does not meet the condition. Furthermore, any day with fewer than 18 reported hourly temperature values invalidates that day and breaks the streak. The data used for resolution will be the official readings published at the expiration time, with any subsequent revisions disregarded. The outcome for each market depends on whether the recorded temperatures meet or exceed the consecutive-day threshold defined for that specific market.
Currently, the prevailing sentiment in this market reflects traders' expectations regarding the likelihood of prolonged extreme heat in Phoenix. It's important to note that prediction market prices aren't necessarily aligned with traditional analyst forecasts; they represent a collective intelligence view based on actual money at stake. If analysts are predicting a higher or lower probability of this heat wave than what's reflected in the current price, it could present an opportunity for informed traders. This difference in perspective is a key feature of prediction markets, offering a unique signal compared to conventional forecasting methods.
On Kalshi, this market is priced using a continuous double auction, meaning traders can buy and sell contracts at any time, setting their own prices. The price of a contract represents the implied probability of the event occurring. As more traders buy contracts, the price increases, indicating a higher perceived probability, and vice-versa. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market’s price fluctuates based on supply and demand, reflecting the evolving beliefs of participants. This dynamic pricing mechanism allows for a real-time assessment of the likelihood of the Phoenix heat wave, driven by the collective actions of traders.
This market resolves around Sep 22, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on publicly available data from a recognized meteorological source regarding the average daily temperatures in Phoenix during the week of September 14, 2026. The number of consecutive days exceeding 90°F will be counted to determine whether the market resolves in the affirmative or negative. The final outcome will be determined by the verified temperature data, providing a clear and objective result for this market.
Several factors could influence trading activity in this market leading up to Sep 22, 2026. Long-range weather forecasts, particularly those released by the National Weather Service or other reputable meteorological organizations, will be closely watched. Any indications of a strengthening El Niño or La Niña pattern, which can significantly impact weather patterns in the southwestern United States, could also move the market. Additionally, reports on climate change trends and their potential effects on extreme heat events might influence trader sentiment. Unexpected heat waves in other regions could also impact perceptions of the likelihood of this event.