[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-05-26-span-9-hot-numbers-zh-TW":3,"reports-algorithms":39},{"slug":4,"type":5,"extremeSubtype":6,"publishAt":7,"updateTime":8,"coverImage":9,"viewCount":10,"title":11,"metaTitle":12,"metaDesc":13,"summary":14,"content":15,"readMinutes":16,"related":17},"2026-05-26-span-9-hot-numbers","daily",null,"2026-05-27 00:30:00","2026-05-27 00:30:21","\u002Fstatic\u002Fog\u002F2026-05-26-span-9-hot-numbers.jpg",0,"跨度極值與熱號扎堆背後資料","加拿大28跨度極值與熱號扎堆資料解讀","2026年5月26日加拿大28中跨度分佈出現極值，三球跨度9達極值；同時熱號扎堆集中，和值13占據當日熱榜榜首。","昨日三球跨度9罕見出現，分佈極值值得記錄；此外，和值13以9.07%占比成熱號榜首。","## 三球跨度分佈極值 9 的罕見現身\n\n昨日加拿大28的跨度分佈中，跨度值 9 的記錄出現了共計 21 次，較其他跨度值顯著偏低但值得關注。這種極值現象在之前的 30 天內僅出現過 2 次，而昨日的集中表現無疑是一個資料特徵的異常，值得進一步分析。\n\n與跨度 9 的資料相比，跨度值 4 的出現頻次則達到了 61 次，占據了昨日的跨度分佈主導地位，顯示出集中趨勢。\n\n我們將繼續觀察此類跨度異常現象是否能反映長期趨勢。\n\n## 熱號和值 13 的扎堆現象\n\n昨日熱號統計中，和值 13 的出現次數達到了 35 次，占比 9.07%，明顯高於其他熱點和值。與歷史均值對比來看，這種集中頻率具備一定的統計顯著性，可能為近期資料變化提供線索。\n\n緊隨其後的和值 14 和 11 分別出現了 33 和 31 次，以 8.55% 和 8.03% 的占比位列第二和第三。\n\n## AI 演算法表現：深度學習演算法表現引人注目\n\n在昨日監測的 30 套 AI 演算法中，「深度學習」演算法的綜合準確率達到 47.73%，在尺寸預測維度的表現尤為突出，成功率達到 50%，雙邊預測準確率則達到了 40.91%。雖然綜合表現未能進入排名前五，但仍值得關注其局部資料上的亮點。\n\n同時，「均值回歸」演算法在多維度上的預測成績較為穩定，以綜合準確率 51.14% 在榜單中占據優勢。我們將持續追蹤這些演算法的表現以判斷其長期效能。\n\n## 冷號長期沉寂，和值 0 延續冷凍期\n\n在昨日的冷號統計中，和值 0 繼續保持沉寂，截至昨日已累計 230 期未見蹤影，這種長期未出狀態使其成為當前冷號榜單的典型代表。\n\n此外，和值 2 和 25 在昨日分別實現了 210 和 192 期冷凍後的破冰回歸，是資料中另一個值得關注的點。\n\n## 極端事件回顧：資料背後的特殊現象\n\n昨日加拿28的極端事件報告顯示，「三球跨度 9」 罕見亮相，詳細資料與其影響分析已在對應報告中呈現。同時，一次和值 4 的四連豹子號事件也對統計分佈提供了特定樣本，引發了更多解讀的可能性。",3,[18,27,33],{"slug":19,"type":20,"extremeSubtype":21,"publishAt":22,"coverImage":23,"viewCount":10,"title":24,"summary":25,"readMinutes":26},"2026-06-03-extreme-triple-5","extreme","E1","2026-06-03 02:01:48","\u002Fstatic\u002Fog\u002F2026-06-03-extreme-triple-5.jpg","罕見豹子號爆出：5+5+5開出震撼","今日加拿大28第 3440224 期出現豹子號 5+5+5，極端機率僅 1%，連續兩日現此現象。",1,{"slug":28,"type":5,"extremeSubtype":6,"publishAt":29,"coverImage":30,"viewCount":10,"title":31,"summary":32,"readMinutes":16},"2026-06-02-extreme-events","2026-06-03 00:30:00","\u002Fstatic\u002Fog\u002F2026-06-02-extreme-events.jpg","罕見豹子號頻現，AI演算法表現亮眼","昨日加拿大28出現三次罕見豹子號，同時AI演算法整體命中率提升至41.6%，表現亮眼。",{"slug":34,"type":20,"extremeSubtype":21,"publishAt":35,"coverImage":36,"viewCount":10,"title":37,"summary":38,"readMinutes":26},"2026-06-02-extreme-triple-7","2026-06-02 16:43:49","\u002Fstatic\u002Fog\u002F2026-06-02-extreme-triple-7.jpg","罕見豹子號驚現：7+7+7震撼開出","第3440074期加拿大28驚現罕見7+7+7豹子號，理論機率僅1%，極具稀有性。",[40,45,51,56,62,68,74,80,86,92,98,104,110,116,122,128,134,140,145,151,157,163,169,175,181,187,193,199,205,211],{"code":41,"nameZhCn":42,"nameZhTw":43,"nameEnUs":44,"sortOrder":26},"quantum_probability","量子概率引擎","量子機率引擎","Quantum Probability Engine",{"code":46,"nameZhCn":47,"nameZhTw":48,"nameEnUs":49,"sortOrder":50},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",2,{"code":52,"nameZhCn":53,"nameZhTw":54,"nameEnUs":55,"sortOrder":16},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",{"code":57,"nameZhCn":58,"nameZhTw":59,"nameEnUs":60,"sortOrder":61},"markov_chain","马尔可夫链","馬可夫鏈","Markov Chain",4,{"code":63,"nameZhCn":64,"nameZhTw":65,"nameEnUs":66,"sortOrder":67},"deep_learning","深度学习","深度學習","Deep Learning",5,{"code":69,"nameZhCn":70,"nameZhTw":71,"nameEnUs":72,"sortOrder":73},"bayesian","贝叶斯推理","貝氏推論","Bayesian Inference",6,{"code":75,"nameZhCn":76,"nameZhTw":77,"nameEnUs":78,"sortOrder":79},"random_forest","随机森林","隨機森林","Random Forest",7,{"code":81,"nameZhCn":82,"nameZhTw":83,"nameEnUs":84,"sortOrder":85},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",8,{"code":87,"nameZhCn":88,"nameZhTw":89,"nameEnUs":90,"sortOrder":91},"monte_carlo","蒙特卡洛模拟","蒙地卡羅模擬","Monte Carlo Simulation",9,{"code":93,"nameZhCn":94,"nameZhTw":95,"nameEnUs":96,"sortOrder":97},"clustering","聚类追踪","聚類追蹤","Cluster Tracking",10,{"code":99,"nameZhCn":100,"nameZhTw":101,"nameEnUs":102,"sortOrder":103},"volatility","波动率","波動率","Volatility",11,{"code":105,"nameZhCn":106,"nameZhTw":107,"nameEnUs":108,"sortOrder":109},"edge_value","边缘值","邊緣值","Edge Value",12,{"code":111,"nameZhCn":112,"nameZhTw":113,"nameEnUs":114,"sortOrder":115},"anti_martingale","反马丁格尔","反馬丁格爾","Anti-Martingale",13,{"code":117,"nameZhCn":118,"nameZhTw":119,"nameEnUs":120,"sortOrder":121},"ensemble_voting","综合投票","綜合投票","Ensemble Voting",14,{"code":123,"nameZhCn":124,"nameZhTw":125,"nameEnUs":126,"sortOrder":127},"momentum","动量加速度","動量加速度","Momentum",15,{"code":129,"nameZhCn":130,"nameZhTw":131,"nameEnUs":132,"sortOrder":133},"quantile","分位数","分位數","Quantile",16,{"code":135,"nameZhCn":136,"nameZhTw":137,"nameEnUs":138,"sortOrder":139},"double_step_transition","双步转移","雙步轉移","Double-Step Transition",17,{"code":141,"nameZhCn":142,"nameZhTw":142,"nameEnUs":143,"sortOrder":144},"local_entropy","局部熵","Local Entropy",18,{"code":146,"nameZhCn":147,"nameZhTw":148,"nameEnUs":149,"sortOrder":150},"residual_trend","残差趋势","殘差趨勢","Residual Trend",19,{"code":152,"nameZhCn":153,"nameZhTw":154,"nameEnUs":155,"sortOrder":156},"streak_length","连势长度","連勢長度","Streak Length",20,{"code":158,"nameZhCn":159,"nameZhTw":160,"nameEnUs":161,"sortOrder":162},"decay_missing","衰减遗漏","衰減遺漏","Decay Missing",21,{"code":164,"nameZhCn":165,"nameZhTw":166,"nameEnUs":167,"sortOrder":168},"rule_voting","规则投票","規則投票","Rule Voting",22,{"code":170,"nameZhCn":171,"nameZhTw":172,"nameEnUs":173,"sortOrder":174},"cold_hot_balance","冷热平衡","冷熱平衡","Cold-Hot Balance",23,{"code":176,"nameZhCn":177,"nameZhTw":178,"nameEnUs":179,"sortOrder":180},"kelly","凯利公式","凱利公式","Kelly Criterion",24,{"code":182,"nameZhCn":183,"nameZhTw":184,"nameEnUs":185,"sortOrder":186},"mean_reversion","均值回归","均值回歸","Mean Reversion",25,{"code":188,"nameZhCn":189,"nameZhTw":190,"nameEnUs":191,"sortOrder":192},"autocorrelation","自相关","自相關","Autocorrelation",26,{"code":194,"nameZhCn":195,"nameZhTw":196,"nameEnUs":197,"sortOrder":198},"fibonacci","斐波那契","費波那契","Fibonacci",27,{"code":200,"nameZhCn":201,"nameZhTw":202,"nameEnUs":203,"sortOrder":204},"miss_chase","遗漏追热","遺漏追熱","Miss Chase",28,{"code":206,"nameZhCn":207,"nameZhTw":208,"nameEnUs":209,"sortOrder":210},"number_combination","数字组合","數字組合","Number Combination",29,{"code":212,"nameZhCn":213,"nameZhTw":214,"nameEnUs":215,"sortOrder":216},"recent_chain","近链推演","近鏈推演","Recent Chain",30]