TOTAL VOLUME:
$154.4b
24H VOL:
$245,801,863
24H TRANSACTIONS:
2,984,028,936
OPEN INTEREST:
$1,902,097,102
417,059
Markets across
40,178
events
MATCHED EVENTS:
4,415
PLATFORM COVERAGE:
5
Polymarket:
37%
VS.
Kalshi:
63%
Closed: Oct 4, 11:59 PM EST
Kalshi
This event tracks whether San Antonio will experience consecutive days with average temperatures exceeding 90°F during a specific week. The focus is on identifying temperature patterns over multiple days, reflecting potential heatwave conditions in the region.
The event evaluates whether San Antonio experiences consecutive days with average temperatures strictly above 90°F during the week of September 28 to October 4, 2026. Each market within this event requires a different minimum number of consecutive days (ranging from 2 to 6 days) to resolve to 'Yes'. The daily average temperature is calculated as the arithmetic mean of hourly temperature readings reported by The Weather Company for KSAT from midnight to midnight local time, rounded to the nearest whole degree. Only days within the specified week contribute to the streak, and data published at the expiration time is used—later revisions are ignored. A day with an average temperature exactly at 90°F does not meet the condition, nor does any day with fewer than 18 reported hourly values, both of which break any ongoing streak. The outcome for each market depends solely on whether the required number of qualifying consecutive days is achieved within the defined timeframe.
Currently, it’s difficult to directly compare prediction market odds to specific analyst forecasts for this event, as detailed public forecasts for this specific timeframe are limited. However, generally, prediction markets often incorporate a wider range of information and perspectives than traditional forecasts. This can lead to differences in probabilities, as this market reflects the collective judgment of many traders rather than a single expert’s opinion. Examining historical data shows that prediction markets can sometimes outperform traditional forecasting methods, particularly for events with complex or uncertain factors.
On Kalshi, this market is priced using a continuous double auction. Traders buy and sell contracts representing potential outcomes, and the price of each contract reflects the market's implied probability of that outcome occurring. As more traders participate, the prices adjust to reflect the collective assessment of the likelihood of the event. On Kalshi, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. The market price represents the cost to purchase a contract that pays out if the specified condition is met – consecutive days above 90°F in San Antonio during the week of September 28, 2026.
This market resolves around Oct 6, 2026, with the outcome confirmed once the event is verifiable from credible public reporting. The resolution will be based on the average daily temperature recorded in San Antonio, Texas, during the week of September 28, 2026. Specifically, the number of consecutive days with an average temperature exceeding 90°F will be tallied to determine the market’s outcome. The data will be sourced from publicly available weather records and verified for accuracy to ensure a fair and transparent resolution process.
Several factors could influence trading activity in this market. Long-range weather forecasts released in the coming months will likely be a significant driver, especially if they predict above-average temperatures for the region. Any major shifts in climate patterns, such as the development of a strong El Niño or La Niña event, could also impact the market. Additionally, news reports about heat waves in other parts of the country or world might influence trader sentiment. Finally, general economic conditions and energy prices could play a role, as these factors can affect overall risk appetite and trading behavior.