[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"market-0xf11abc2e61ebea040ea9f41cbc4fdfdcb601db1d3e67a92179056da91b296cd2":3,"market-hist-0xf11abc2e61ebea040ea9f41cbc4fdfdcb601db1d3e67a92179056da91b296cd2:1kvvdmw":25},{"market":4,"consensus":20,"positions":21,"truncated":22,"whaleCount":13,"meta":23},{"conditionId":5,"question":6,"slug":7,"eventSlug":8,"category":9,"status":10,"endDateIso":11,"volumeNum":12,"liquidityNum":13,"active":13,"closed":14,"outcomes":15},"0xf11abc2e61ebea040ea9f41cbc4fdfdcb601db1d3e67a92179056da91b296cd2","Will the highest temperature in London be 16°C on October 27?","highest-temperature-in-london-on-october-27-2026-16c","highest-temperature-in-london-on-october-27-2026","Science","closed","2026-10-27T12:00:00Z",7518.532967000001,0,1,[16,18],{"name":17,"price":13},"Yes",{"name":19,"price":14},"No",null,[],false,{"generatedAt":24},"2026-10-30T07:17:02.706Z",{"points":26,"whaleEntryAt":20,"whaleAvgPrice":20,"insufficientData":22,"meta":136},[27,31,35,38,42,46,50,52,54,56,60,64,68,72,76,79,83,87,89,93,97,100,104,108,111,114,117,121,125,128,131,133],{"t":28,"p":29,"size":30,"is_whale":13},"2026-10-25T09:11:35.000Z",0.1235064935,7.7,{"t":32,"p":33,"size":34,"is_whale":14},"2026-10-25T09:32:00.000Z",0.13,8,{"t":36,"p":37,"size":30,"is_whale":13},"2026-10-25T10:13:27.000Z",0.1234415584,{"t":39,"p":40,"size":41,"is_whale":13},"2026-10-25T10:58:59.000Z",0.1199999952,8.416667,{"t":43,"p":44,"size":45,"is_whale":13},"2026-10-25T11:11:14.000Z",0.07,4.5,{"t":47,"p":48,"size":49,"is_whale":13},"2026-10-25T11:36:21.000Z",0.1199999904,8.333334,{"t":51,"p":33,"size":34,"is_whale":14},"2026-10-25T11:52:09.000Z",{"t":53,"p":33,"size":30,"is_whale":13},"2026-10-25T13:19:51.000Z",{"t":55,"p":33,"size":34,"is_whale":14},"2026-10-25T13:32:06.000Z",{"t":57,"p":58,"size":59,"is_whale":13},"2026-10-25T20:44:36.000Z",0.0931972789,14.7,{"t":61,"p":62,"size":63,"is_whale":13},"2026-10-25T20:45:36.000Z",0.0868309847,15.777778,{"t":65,"p":66,"size":67,"is_whale":14},"2026-10-25T21:04:17.000Z",0.08,36.13,{"t":69,"p":70,"size":71,"is_whale":13},"2026-10-26T05:08:08.000Z",0.1,20.32,{"t":73,"p":74,"size":75,"is_whale":13},"2026-10-26T06:29:53.000Z",0.126013986,7.15,{"t":77,"p":78,"size":75,"is_whale":13},"2026-10-26T07:30:06.000Z",0.14,{"t":80,"p":81,"size":82,"is_whale":14},"2026-10-26T08:24:42.000Z",0.1522951599,546.89,{"t":84,"p":85,"size":86,"is_whale":13},"2026-10-26T08:30:42.000Z",0.18,5.57,{"t":88,"p":85,"size":86,"is_whale":13},"2026-10-26T09:32:18.000Z",{"t":90,"p":91,"size":92,"is_whale":13},"2026-10-26T09:41:56.000Z",0.1799999856,5.555556,{"t":94,"p":95,"size":96,"is_whale":13},"2026-10-26T10:33:50.000Z",0.19,5.27,{"t":98,"p":95,"size":99,"is_whale":13},"2026-10-26T12:52:39.000Z",5,{"t":101,"p":102,"size":103,"is_whale":13},"2026-10-26T13:08:12.000Z",0.2,20,{"t":105,"p":106,"size":107,"is_whale":14},"2026-10-26T15:31:42.000Z",0.1462796102,512.07,{"t":109,"p":33,"size":110,"is_whale":13},"2026-10-26T15:56:35.000Z",10,{"t":112,"p":66,"size":113,"is_whale":13},"2026-10-26T18:37:30.000Z",4,{"t":115,"p":116,"size":34,"is_whale":13},"2026-10-26T23:26:30.000Z",0.06,{"t":118,"p":119,"size":120,"is_whale":13},"2026-10-26T23:31:29.000Z",0.04,11.39,{"t":122,"p":123,"size":124,"is_whale":13},"2026-10-27T00:27:02.000Z",0.002,40.64,{"t":126,"p":123,"size":127,"is_whale":13},"2026-10-27T00:52:26.000Z",41.4,{"t":129,"p":123,"size":130,"is_whale":13},"2026-10-27T01:15:08.000Z",38.27,{"t":132,"p":123,"size":99,"is_whale":13},"2026-10-27T03:37:30.000Z",{"t":134,"p":123,"size":135,"is_whale":13},"2026-10-27T03:37:48.000Z",32.37,{"generatedAt":137},"2026-10-30T07:17:02.744Z"]