[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-07-26-week-ai-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},"2026-07-26-week-ai-trends","weekly",null,"2026-07-27 00:35:00","2026-07-27 00:35:17","\u002Fstatic\u002Fog\u002F2026-07-26-week-ai-trends.jpg",0,"本週加拿大28 AI演算法表現解析","加拿大28週報：AI演算法趨勢與極端豹子號解析","聚焦加拿大28一週資料：AI演算法精準度解析，anti_martingale再奪冠軍，豹子號頻發引發熱議，大小比與單雙比波動解讀。","本週加拿大28資料表現搶眼，anti_martingale演算法以45.29%準確率奪冠，豹子號頻發引發關注，大小單雙比整體趨於穩定。","## 本週資料概覽\n\n從2026年7月20日到26日，加拿大28總計開獎2815期。大數與小數的出現頻率幾乎平分秋色，大數占比50.05%，小數49.95%。在單雙比方面，單數占比50.41%，雙數占比49.59%，接近數學期望值。這種穩定的分佈顯示走勢未出現較大偏差，但細節中依然有有趣的波動值得一看。\n\n### 資料趨勢回顧\n\n週初的7月20日和21日，資料傾向大數，分別達到了49.5%和50.87%。然而週三7月22日時，大數占比攀升至52.62%，是本週的峰值。隨後大數的優勢逐漸減弱，24日與25日的小數比例略有回升，分別為50.75%和50.62%。週末26日，行情又回歸到接近五五開的狀態。\n\n單雙比的趨勢也不乏波動。7月23日的單數占比僅為45.27%，明顯偏離了理論值50%，且是本週的最低點。週後期單數比例回升至50%附近，整體看，單雙比波動較大。\n\n## AI演算法表現：本週明星\n\n本週分析了30套AI演算法的表現。其中，anti_martingale演算法表現突出，以45.29%的綜合準確率奪得冠軍，與上週相比，提升2個百分點。其次是local_entropy和kelly演算法，均以44.87%並列第二。\n\n值得注意的是，本週樣本量達到11220，這使得這些演算法的表現更具統計意義。anti_martingale的數字預測率尤為亮眼，達到53.83%，大幅領先於其他演算法。\n\n## 極端事件追蹤\n\n7月23日至26日期間，我們見證了多次罕見的極端事件。例如，第3460446期的三球同號「4」，以及23日和24日發生的多次「豹子號」情況。其中7月24日更是持續出現和值為0，與歷史表現相比極其罕見。\n\n## 熱門和值與跨度分析\n\n本週最熱的和值包括13（210次，7.46%）、15（207次，7.35%）。跨度方面，5段最為活躍，占比15.31%。類似的分佈情況與歷史資料具有一定一致性，可能是近期玩家關注的重點。\n\n## 小結\n\n總體來說，本週加拿大28資料表現穩定，但也呈現了短期內的波動。AI演算法中，anti_martingale的表現值得關注，而罕見的極端事件繼續為玩家提供了新的策略靈感。資料極客們不妨對這些現象多做分析，尋找更多潛在規律。",3,[18,27,34],{"slug":19,"type":20,"extremeSubtype":21,"publishAt":22,"coverImage":23,"viewCount":10,"title":24,"summary":25,"readMinutes":26},"2026-10-11-extreme-sum-zero-v2","extreme","E2","2026-10-11 11:56:58","\u002Fstatic\u002Fog\u002F2026-10-11-extreme-sum-zero-v2.jpg","加拿大28第3492654期驚現和值0","加拿大28第3492654期開出總和值為0的極值，罕見機率僅0.1%。最近一次出現是在3492637期。",1,{"slug":28,"type":20,"extremeSubtype":29,"publishAt":30,"coverImage":31,"viewCount":10,"title":32,"summary":33,"readMinutes":26},"2026-10-11-extreme-triple-zero","E1","2026-10-11 11:56:49","\u002Fstatic\u002Fog\u002F2026-10-11-extreme-triple-zero.jpg","加拿大28豹子號000再度出現，罕見機率僅1%","加拿大28第3492654期出現豹子號000，理論機率僅為1%。距離上次開出僅間隔約1小時。",{"slug":35,"type":20,"extremeSubtype":21,"publishAt":36,"coverImage":37,"viewCount":10,"title":38,"summary":39,"readMinutes":26},"2026-10-11-extreme-sum-zero","2026-10-11 10:46:56","\u002Fstatic\u002Fog\u002F2026-10-11-extreme-sum-zero.jpg","加拿大28再現和值極端0事件","10月11日JND28第3492634期開獎出現極端和值0，理論機率僅0.1%，兩天內的第二次發生。",[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]