TOTAL VOLUME:
$154.4b
24H VOL:
$290,393,159
24H TRANSACTIONS:
2,984,640,614
OPEN INTEREST:
$1,944,100,805
420,493
Markets across
40,511
events
MATCHED EVENTS:
4,612
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 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 multiple days to assess heat persistence. Outcomes depend on meeting or exceeding temperature thresholds across the specified timeframe.
The event evaluates whether Phoenix records consecutive days with average temperatures strictly above 90°F during the week of September 28 to October 4, 2026. Each market within this event specifies a different minimum number of consecutive days required for resolution (ranging from 2 to 6 days). A day's average temperature is calculated as the arithmetic mean of hourly temperature readings reported by The Weather Company for the KPHX station from 12:00 AM to 11:59 PM local time, rounded to the nearest whole degree. Only days within the specified week contribute to streaks, and data as published at the expiration time will be used—later revisions are disregarded. An average temperature of exactly 90°F does not meet the condition, and any day with fewer than 18 reported hourly values breaks the streak, rendering it invalid for counting toward consecutive days. The market resolves to 'Yes' if the specified number of consecutive days with qualifying temperatures occurs within the week.
Currently, it’s difficult to directly compare this market’s predictions to traditional analyst forecasts, as comprehensive long-range temperature predictions for specific weeks are not widely available. However, the collective wisdom of traders on Kalshi often incorporates a broader range of factors than typical meteorological models, including potential climate anomalies and localized weather patterns. Examining historical data on similar heat waves in Phoenix and comparing those trends to the implied probability in this market can offer insights into how prediction markets process information differently.
On Kalshi, this market is priced using a continuous double auction, meaning traders buy and sell contracts representing different outcomes. The price of a contract reflects the market’s assessment of the probability of that outcome occurring. As more traders participate and new information becomes available, the price will adjust accordingly. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market price is influenced by supply and demand, with higher prices indicating lower implied probability and vice versa. This dynamic pricing mechanism allows for a real-time assessment of the potential for a significant heat wave in Phoenix.
This market resolves around Oct 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. Specifically, the resolution will be based on the average daily temperature recorded in Phoenix, Arizona, during the week of September 28, 2026. The number of consecutive days with an average temperature above 90°F will be counted to determine whether the market resolves in favor of the ‘yes’ or ‘no’ outcome. The data will be sourced from established meteorological records.
Several factors could significantly influence this market between now and its resolution. Long-range weather forecasts released closer to September 2026 will be closely watched. Any indications of a developing El Niño or La Niña pattern, known to impact Southwestern US temperatures, could shift the market. Additionally, reports on global temperature trends and climate change projections could affect trader sentiment. Unexpectedly high or low temperatures during the preceding months in Phoenix might also serve as leading indicators, influencing how traders assess the likelihood of a prolonged heat wave.