[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"market-0x06a320e4961343b45c8d43becca8d0ae4d318f42d5792426282b1d9630bf560a":3,"market-hist-0x06a320e4961343b45c8d43becca8d0ae4d318f42d5792426282b1d9630bf560a:jrsspu":27},{"market":4,"consensus":22,"positions":23,"truncated":24,"whaleCount":14,"meta":25},{"conditionId":5,"question":6,"slug":7,"eventSlug":8,"category":9,"status":10,"endDateIso":11,"volumeNum":12,"liquidityNum":13,"active":14,"closed":14,"outcomes":15},"0x06a320e4961343b45c8d43becca8d0ae4d318f42d5792426282b1d9630bf560a","Will the highest temperature in Qingdao be 16°C on October 23?","highest-temperature-in-qingdao-on-october-23-2026-16c","highest-temperature-in-qingdao-on-october-23-2026","Science","resolved","2026-10-23T12:00:00Z",1394.086773,1678.8392,0,[16,19],{"name":17,"price":18},"Yes",0.0005,{"name":20,"price":21},"No",0.9995,null,[],false,{"generatedAt":26},"2026-11-12T21:18:20.768Z",{"points":28,"whaleEntryAt":22,"whaleAvgPrice":22,"insufficientData":24,"meta":48},[29,34,37,40,44],{"t":30,"p":31,"size":32,"is_whale":33},"2026-10-23T01:56:09.000Z",0.0109999999,99.09091,1,{"t":30,"p":35,"size":36,"is_whale":14},0.011,69.28,{"t":30,"p":38,"size":39,"is_whale":14},0.01059,100,{"t":41,"p":42,"size":43,"is_whale":33},"2026-10-23T02:57:00.000Z",0.0010489908,102.06,{"t":45,"p":46,"size":47,"is_whale":14},"2026-10-23T03:01:12.000Z",0.001,153.18,{"generatedAt":49},"2026-11-12T21:18:20.770Z"]