[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-06-28-week-algorithm-trends-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},"2026-06-28-week-algorithm-trends","weekly",null,"2026-06-29 00:35:00","2026-06-29 00:35:22","\u002Fstatic\u002Fog\u002F2026-06-28-week-algorithm-trends.jpg",0,"本週加拿大28：AI演算法表現與豹子號頻現","加拿大28週報：AI演算法排名與罕見豹子號資料趨勢","深入回顧 6 月 22 至 28 日加拿大28資料走勢，AI演算法表現揭曉，罕見豹子號頻現形成熱點，看大盤趨勢如何演變。","這一週（6 月 22-28 日），多套 AI 演算法表現亮眼，「反馬丁格爾」高居榜首。同時，豹子號頻繁現身引發廣泛關注，帶來獨特資料現象。","## 本週大盤資料概覽\n\n這一週，加拿大28總計完成了 2,684 期的開獎，時間跨度從 6 月 22 日到 6 月 28 日。大小比稍偏向「大」，達到 50.48%，單雙則是略多「偶」，為 50.97%。從日趨勢上看，週中（6 月 25 日）大號比例曾衝高至 52.24%，之後逐漸回落。\n\n熱號方面，「12」以 215 次奪下本週頻率冠軍，占比 8.01%。其他如「14」、「13」緊隨其後，分別出現了 213 與 206 次。跨度分佈較為均衡，但「跨度 4」最集中，達到了 391 次。\n\n## AI 演算法週冠軍揭曉\n\n過去一週，30 套 AI 演算法的平均表現為 41.66%。其中，「反馬丁格爾」演算法以綜合準確率 45.65% 成為本週冠軍，尤其在「號碼」維度上達到了驚人的 55.23%。\n\n緊隨其後的是「凱利公式」演算法，以 45.32% 排名第二，而「局部熵」以 45.26% 位列第三。這三套演算法的穩定性優於其他模型，特別是在週中資料波動時表現尤為出色。\n\n## 罕見事件：豹子號頻現\n\n這一週的開獎中，豹子號異常活躍。從 6 月 22 日的「555」、「666」，到 6 月 24 日的「333」，再到 6 月 27 日的「777」，這些低概率事件讓人印象深刻。據統計，總共有 12 次豹子號現身，大大超出歷史同期水平。\n\n此外，和值 0 與 27 的極端情況也各有兩次出現，再次顯示本週資料的離散性特點。\n\n## 週內關鍵轉折點\n\n從週初的平穩，到週中單雙比例逐漸偏離，再到週末恢復常態，本週的大盤資料呈現了一個「起伏——回歸」的特性。尤其是 6 月 26 日，單雙比例最低僅為 46.52%，這在近期走勢中並不常見。\n\n總的來看，這一週的加拿大28走勢體現了多樣性與偶然性並存的特點。對於未來走勢，值得繼續觀察 AI 演算法在不確定性中的表現能力。",3,[18,27,34],{"slug":19,"type":20,"extremeSubtype":21,"publishAt":22,"coverImage":23,"viewCount":10,"title":24,"summary":25,"readMinutes":26},"2026-07-26-extreme-triple-3","extreme","E1","2026-07-26 07:10:12","\u002Fstatic\u002Fog\u002F2026-07-26-extreme-triple-3.jpg","震撼！豹子號3+3+3再現","加拿大28第3461618期再現豹子號，3+3+3開出，理論機率僅1%，極其罕見。",1,{"slug":28,"type":29,"extremeSubtype":6,"publishAt":30,"coverImage":31,"viewCount":10,"title":32,"summary":33,"readMinutes":16},"2026-07-25-ai-performance-review","daily","2026-07-26 00:30:00","\u002Fstatic\u002Fog\u002F2026-07-25-ai-performance-review.jpg","AI 命中率揭秘：昨日五強爭鳴","昨日AI演算法命中率揭曉，五強成績較為接近，後三名出現明顯波動，倍受關注。",{"slug":35,"type":20,"extremeSubtype":21,"publishAt":36,"coverImage":37,"viewCount":10,"title":38,"summary":39,"readMinutes":26},"2026-07-26-extreme-triple-4","2026-07-26 00:27:40","\u002Fstatic\u002Fog\u002F2026-07-26-extreme-triple-4.jpg","震撼！豹子號4+4+4時隔一天再現","加拿大28第3461503期再現豹子號4+4+4，理論機率僅1%，距上次僅隔一天，罕見連現引熱議。",[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 Reversion",25,{"code":189,"nameZhCn":190,"nameZhTw":191,"nameEnUs":192,"sortOrder":193},"autocorrelation","自相关","自相關","Autocorrelation",26,{"code":195,"nameZhCn":196,"nameZhTw":197,"nameEnUs":198,"sortOrder":199},"fibonacci","斐波那契","費波那契","Fibonacci",27,{"code":201,"nameZhCn":202,"nameZhTw":203,"nameEnUs":204,"sortOrder":205},"miss_chase","遗漏追热","遺漏追熱","Miss Chase",28,{"code":207,"nameZhCn":208,"nameZhTw":209,"nameEnUs":210,"sortOrder":211},"number_combination","数字组合","數字組合","Number Combination",29,{"code":213,"nameZhCn":214,"nameZhTw":215,"nameEnUs":216,"sortOrder":217},"recent_chain","近链推演","近鏈推演","Recent Chain",30]