This market will resolve to the temperature range that contains the highest temperature recorded at the Tokyo Haneda Airport Station in degrees Celsius on 21 Apr '26.
The resolution source for this market will be information from Wunderground, specifically the highest temperature recorded for all times on this day by the Forecast for the Tokyo Haneda Airport Station once information is finalized, available here: https://www.wunderground.com/history/daily/jp/tokyo/RJTT.
To toggle between Fahrenheit and Celsius, click the gear icon next to the search bar and switch the Temperature setting between ยฐF and ยฐC.
This market can not resolve to "Yes" until all data for this date has been finalized.
The resolution source for this market measures temperatures to whole degrees Celsius (eg, 9ยฐC). Thus, this is the level of precision that will be used when resolving the market.
Any revisions to temperatures recorded after data is finalized for this market's timeframe will not be considered for this market's resolution.
Highest temperature in Tokyo on April 21?
Weather
Daily Temperature
Tokyo
Rewards Automation 50 4.5 50
Highest temperature
Yes Probability
1%
No Probability
99%
Trading Volume
$194.9K
Time Remaining
Resolved
23ยฐC Resolved
$36.6K Volume
99%
99.9¢
0.1¢
17ยฐC Resolved
$7.5K Volume
1%
0.2¢
99.8¢
18ยฐC Resolved
$3.2K Volume
1%
0.2¢
99.8¢
16ยฐC or below Resolved
$4.2K Volume
1%
0.1¢
99.9¢
19ยฐC Resolved
$6K Volume
1%
0.1¢
99.9¢
20ยฐC Resolved
$6.3K Volume
1%
0.1¢
99.9¢
21ยฐC Resolved
$6.4K Volume
1%
0.1¢
99.9¢
22ยฐC Resolved
$12K Volume
1%
0.1¢
99.9¢
24ยฐC Resolved
$17.8K Volume
1%
0.1¢
99.9¢
25ยฐC Resolved
$22.6K Volume
1%
0.1¢
99.9¢
26ยฐC or higher Resolved
$33.2K Volume
1%
0.1¢
99.9¢
About This Market
Resolution Source: www.wunderground.com
AI Analysis
The prediction market for the highest temperature in Tokyo on April 21, 2026, currently shows a low probability of 0.1%, reflecting traders' expectations for a mild day. With a trading volume of $150K, this market highlights the growing interest in weather-related predictions and their potential impact on various sectors, including agriculture and tourism. Understanding these probabilities can help stakeholders make informed decisions based on anticipated weather conditions.