TOTAL VOLUME:
$134b
24H VOL:
$103,397,351
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,410,176,180
399,592
Markets across
30,097
events
MATCHED EVENTS:
2,622
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jul 13, 8:00 AM EST
Polymarket
This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 13 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 Chaudhary Charan Singh Intl Airport Station, available here: https://www.wunderground.com/history/daily/in/lucknow/VILK. 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 Celsius (eg, 9°C). 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.
This market will resolve to the temperature range that contains the highest temperature recorded at the Chaudhary Charan Singh Intl Airport Station in degrees Celsius on 13 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 Chaudhary Charan Singh Intl Airport Station, available here: https://www.wunderground.com/history/daily/in/lucknow/VILK. 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 Celsius (eg, 9°C). 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.
Prediction market odds often diverge from traditional meteorological forecasts because they incorporate real-time trader conviction and broader information sets. While weather analysts rely on numerical models and historical patterns, this market aggregates the collective judgment of participants betting capital on the outcome. Prediction markets tend to update faster when new data emerges, whereas analyst forecasts typically refresh on fixed schedules. Both sources offer value: analysts provide detailed reasoning, while market odds reflect dynamic, incentive-aligned expectations.
On Polymarket, this market is priced through an automated market maker that sets odds based on the ratio of capital allocated to each temperature outcome band. On Polymarket, prices reflect that venue's order book, liquidity, and how traders price the outcome right now. Traders buy and sell shares representing different temperature ranges, and the price of each share reflects the implied probability of that outcome occurring. As trades flow in, the market maker adjusts prices to maintain balance, ensuring continuous liquidity. The spread between bid and ask prices tightens as volume increases, rewarding active participation.
This market resolves around Jul 13, 2026, once the highest temperature recorded in Lucknow on July 13 is verified and confirmed. The outcome is determined by comparing actual temperature readings against the predefined outcome bands, with the winning category paying out based on which range the final measurement falls into. Resolution occurs after the event date passes and credible public reporting confirms the verified temperature. Traders holding shares in the correct outcome band receive their proportional payout.
Major weather pattern shifts, updated seasonal forecasts, and real-time atmospheric data releases can significantly move this market. El Niño or monsoon intensity changes affecting northern India would trigger repricing across temperature bands. Breaking news about heat waves or unusual weather systems in the region often sparks rapid trading activity. As July 13 approaches, early-morning temperature readings and intraday weather updates become increasingly influential. Traders also react to historical temperature records and any official weather alerts issued by Indian meteorological authorities.