[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-05-31-week-ai-performance-zh-TW":3,"reports-algorithms":40},{"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},"2026-05-31-week-ai-performance","weekly",null,"2026-06-01 00:35:00","2026-06-01 00:35:16","\u002Fstatic\u002Fog\u002F2026-05-31-week-ai-performance.jpg",0,"AI表現穩定前三，極值現象頻現","加拿大28：AI表現與極值事件回顧","回顧加拿大28本週AI演算法表現，前三名穩定性較高；同時極值事件頻發，包括罕見豹子號與跨度極值現象。深入探討資料背後的理論機率和偏差顯著性。","本週加拿大28AI演算法表現穩定，前三名表現突出。多個罕見極值事件如豹子號與跨度極值頻發，值得關注。探討資料背後的機率與偏差意義。","## 本週概覽\n\n過去七天中，加拿大28共進行了 2760 期次的開獎活動，時間跨度從 2026年5月25日至2026年5月31日。整體而言，大小比例為 50.94% 大號對 49.06% 小號，而單雙比例則為 49.53% 單號對 50.47% 雙號。這些資料與理論機率的 50% 標準非常接近，是大數法則下的合理表現。\n\n### 7 天趨勢分析\n\n從每日資料來看，大小比例和單雙比例存在一定波動。其中，5月29日的大號比例最低，為 45.52%，是本週唯一顯著偏離均值的一天。而在5月31日，大號比例回升至 52.99%，顯示出短期反轉趨勢。這種波動可以被看作是小樣本效應的體現。\n\n### AI演算法表現\n\n本週 30 套 AI 演算法中，表現最穩定的三名分別是「蒙特卡洛」、「均值回歸」和「反馬丁格爾」。其中，「蒙特卡洛」以總準確率 45.4% 位列第一，樣本量達到 7932 次。「均值回歸」表現同樣出色，準確率達 45.4%，與前者持平。「反馬丁格爾」稍遜一籌，但仍以 45.3%的準確率穩居前三。\n\n值得注意的是，這些演算法的表現均在多維度下均衡，比如「蒙特卡洛」演算法在單號與組合預測上的準確率分別達到 50.98% 和 24.56%。這種均衡性表明演算法在處理變化資料時具備較好的適應能力。\n\n### 極值事件回顧\n\n本週極值事件頻發，其中罕見豹子號和跨度極值尤為吸引眼球。例如，在 5月31日，豹子號「9+9+9」再次開出，理論機率約為 1%，是極端稀有事件。而跨度極值 9 也在多個日期出現，如 5月27日至5月29日再現了多起跨度達到 9 的期次。這些現象的出現次數遠超理論期望值，可能是資料隨機性與短期偏差的體現。\n\n### 總結與展望\n\n本週的演算法表現和極值事件都體現了資料的多樣性和波動性。前三名演算法展現了穩定性，而極值事件則提供了觀察資料異常的窗口。下週，我們期待進一步驗證這些資料背後的規律性與機率理論。",3,[18,27,34],{"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":29,"extremeSubtype":6,"publishAt":30,"coverImage":31,"viewCount":10,"title":32,"summary":33,"readMinutes":16},"2026-06-02-extreme-events","daily","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":35,"type":20,"extremeSubtype":21,"publishAt":36,"coverImage":37,"viewCount":10,"title":38,"summary":39,"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。",[41,46,52,57,63,69,75,81,87,93,99,105,111,117,123,129,135,141,146,152,158,164,170,176,182,188,194,200,206,212],{"code":42,"nameZhCn":43,"nameZhTw":44,"nameEnUs":45,"sortOrder":26},"quantum_probability","量子概率引擎","量子機率引擎","Quantum Probability Engine",{"code":47,"nameZhCn":48,"nameZhTw":49,"nameEnUs":50,"sortOrder":51},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",2,{"code":53,"nameZhCn":54,"nameZhTw":55,"nameEnUs":56,"sortOrder":16},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",{"code":58,"nameZhCn":59,"nameZhTw":60,"nameEnUs":61,"sortOrder":62},"markov_chain","马尔可夫链","馬可夫鏈","Markov Chain",4,{"code":64,"nameZhCn":65,"nameZhTw":66,"nameEnUs":67,"sortOrder":68},"deep_learning","深度学习","深度學習","Deep Learning",5,{"code":70,"nameZhCn":71,"nameZhTw":72,"nameEnUs":73,"sortOrder":74},"bayesian","贝叶斯推理","貝氏推論","Bayesian Inference",6,{"code":76,"nameZhCn":77,"nameZhTw":78,"nameEnUs":79,"sortOrder":80},"random_forest","随机森林","隨機森林","Random Forest",7,{"code":82,"nameZhCn":83,"nameZhTw":84,"nameEnUs":85,"sortOrder":86},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",8,{"code":88,"nameZhCn":89,"nameZhTw":90,"nameEnUs":91,"sortOrder":92},"monte_carlo","蒙特卡洛模拟","蒙地卡羅模擬","Monte Carlo Simulation",9,{"code":94,"nameZhCn":95,"nameZhTw":96,"nameEnUs":97,"sortOrder":98},"clustering","聚类追踪","聚類追蹤","Cluster Tracking",10,{"code":100,"nameZhCn":101,"nameZhTw":102,"nameEnUs":103,"sortOrder":104},"volatility","波动率","波動率","Volatility",11,{"code":106,"nameZhCn":107,"nameZhTw":108,"nameEnUs":109,"sortOrder":110},"edge_value","边缘值","邊緣值","Edge Value",12,{"code":112,"nameZhCn":113,"nameZhTw":114,"nameEnUs":115,"sortOrder":116},"anti_martingale","反马丁格尔","反馬丁格爾","Anti-Martingale",13,{"code":118,"nameZhCn":119,"nameZhTw":120,"nameEnUs":121,"sortOrder":122},"ensemble_voting","综合投票","綜合投票","Ensemble Voting",14,{"code":124,"nameZhCn":125,"nameZhTw":126,"nameEnUs":127,"sortOrder":128},"momentum","动量加速度","動量加速度","Momentum",15,{"code":130,"nameZhCn":131,"nameZhTw":132,"nameEnUs":133,"sortOrder":134},"quantile","分位数","分位數","Quantile",16,{"code":136,"nameZhCn":137,"nameZhTw":138,"nameEnUs":139,"sortOrder":140},"double_step_transition","双步转移","雙步轉移","Double-Step Transition",17,{"code":142,"nameZhCn":143,"nameZhTw":143,"nameEnUs":144,"sortOrder":145},"local_entropy","局部熵","Local Entropy",18,{"code":147,"nameZhCn":148,"nameZhTw":149,"nameEnUs":150,"sortOrder":151},"residual_trend","残差趋势","殘差趨勢","Residual Trend",19,{"code":153,"nameZhCn":154,"nameZhTw":155,"nameEnUs":156,"sortOrder":157},"streak_length","连势长度","連勢長度","Streak Length",20,{"code":159,"nameZhCn":160,"nameZhTw":161,"nameEnUs":162,"sortOrder":163},"decay_missing","衰减遗漏","衰減遺漏","Decay Missing",21,{"code":165,"nameZhCn":166,"nameZhTw":167,"nameEnUs":168,"sortOrder":169},"rule_voting","规则投票","規則投票","Rule Voting",22,{"code":171,"nameZhCn":172,"nameZhTw":173,"nameEnUs":174,"sortOrder":175},"cold_hot_balance","冷热平衡","冷熱平衡","Cold-Hot Balance",23,{"code":177,"nameZhCn":178,"nameZhTw":179,"nameEnUs":180,"sortOrder":181},"kelly","凯利公式","凱利公式","Kelly Criterion",24,{"code":183,"nameZhCn":184,"nameZhTw":185,"nameEnUs":186,"sortOrder":187},"mean_reversion","均值回归","均值回歸","Mean 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