[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"market-0x61869b1fb6023f814100763b55d79ae3f7e10907df44ce4fb5965e6c7f7562ab":3,"market-hist-0x61869b1fb6023f814100763b55d79ae3f7e10907df44ce4fb5965e6c7f7562ab:bavnsr":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},"0x61869b1fb6023f814100763b55d79ae3f7e10907df44ce4fb5965e6c7f7562ab","Will the lowest temperature in New York City be between 50-51°F on October 23?","lowest-temperature-in-nyc-on-october-23-2026-50-51f","lowest-temperature-in-nyc-on-october-23-2026","Science","closed","2026-10-23T12:00:00Z",2645.6542449999997,0,1,[16,18],{"name":17,"price":14},"Yes",{"name":19,"price":13},"No",null,[],false,{"generatedAt":24},"2026-11-12T22:20:22.284Z",{"points":26,"whaleEntryAt":20,"whaleAvgPrice":20,"insufficientData":22,"meta":126},[27,31,35,39,42,45,49,53,57,61,65,69,70,74,77,79,82,86,89,93,96,98,101,104,106,110,113,115,118,122],{"t":28,"p":29,"size":30,"is_whale":13},"2026-10-22T15:10:09.000Z",0.427303463,61.8764,{"t":32,"p":33,"size":34,"is_whale":13},"2026-10-22T18:11:33.000Z",0.4599999687,5.108696,{"t":36,"p":37,"size":38,"is_whale":13},"2026-10-22T18:11:35.000Z",0.4699998185,2.148937,{"t":36,"p":40,"size":41,"is_whale":14},0.4288938551,63.955218,{"t":36,"p":43,"size":44,"is_whale":13},0.47,6.39,{"t":46,"p":47,"size":48,"is_whale":13},"2026-10-22T19:10:12.000Z",0.42,118,{"t":50,"p":51,"size":52,"is_whale":14},"2026-10-22T22:11:41.000Z",0.3411070434,142.565218,{"t":54,"p":55,"size":56,"is_whale":13},"2026-10-22T23:10:09.000Z",0.34,12,{"t":58,"p":59,"size":60,"is_whale":13},"2026-10-22T23:11:00.000Z",0.3599999222,4.111112,{"t":62,"p":63,"size":64,"is_whale":13},"2026-10-22T23:36:53.000Z",0.35,10,{"t":66,"p":67,"size":68,"is_whale":13},"2026-10-23T00:50:09.000Z",0.36,5,{"t":66,"p":63,"size":68,"is_whale":13},{"t":71,"p":72,"size":73,"is_whale":13},"2026-10-23T02:17:09.000Z",0.5066320218,59.490908,{"t":75,"p":76,"size":64,"is_whale":13},"2026-10-23T04:51:45.000Z",0.13,{"t":78,"p":76,"size":64,"is_whale":13},"2026-10-23T04:53:38.000Z",{"t":80,"p":81,"size":68,"is_whale":13},"2026-10-23T05:02:12.000Z",0.49,{"t":83,"p":84,"size":85,"is_whale":13},"2026-10-23T10:53:20.000Z",0.7,11,{"t":87,"p":88,"size":68,"is_whale":13},"2026-10-23T11:39:00.000Z",0.75,{"t":90,"p":91,"size":92,"is_whale":14},"2026-10-23T12:03:35.000Z",0.8466666667,15,{"t":94,"p":95,"size":68,"is_whale":13},"2026-10-23T12:03:36.000Z",0.85,{"t":94,"p":97,"size":68,"is_whale":13},0.94,{"t":99,"p":100,"size":68,"is_whale":13},"2026-10-23T16:39:36.000Z",0.88,{"t":99,"p":102,"size":103,"is_whale":13},0.8799999153,6.613637,{"t":99,"p":105,"size":68,"is_whale":14},0.9,{"t":107,"p":108,"size":109,"is_whale":13},"2026-10-23T16:39:38.000Z",0.8799999765,3.409091,{"t":111,"p":112,"size":64,"is_whale":14},"2026-10-23T16:46:47.000Z",0.48,{"t":114,"p":100,"size":47,"is_whale":14},"2026-10-23T19:52:05.000Z",{"t":116,"p":117,"size":64,"is_whale":14},"2026-10-24T00:06:02.000Z",0.93,{"t":119,"p":120,"size":121,"is_whale":13},"2026-10-24T04:32:09.000Z",0.9989999936,135.135136,{"t":123,"p":124,"size":125,"is_whale":13},"2026-10-24T04:32:18.000Z",0.999,20.02,{"generatedAt":127},"2026-11-12T22:20:22.287Z"]