[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-07-05-week-summary-trends-en-US":3,"reports-algorithms":41},{"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},"2026-07-05-week-summary-trends","weekly",null,"2026-07-06 00:35:00","2026-07-06 00:35:15","\u002Fstatic\u002Fog\u002F2026-07-05-week-summary-trends.jpg",0,"Canada 28 Weekly Data Brief: Trends and Highlights","Canada 28 Weekly Data Summary and AI Algorithm Review","Reviewing Canada 28 data from June 29 to July 5, 2026, analyzing big\u002Fsmall ratio trends, extreme events, and the standout performance of the weekly AI algorithm champion.","This week, Canada 28 recorded 2,815 draws, showing a slightly higher big number ratio. Extreme events included frequent triple numbers, with the 'Monte Carlo' algorithm emerging as the weekly champion.","## Weekly Data Overview\n\nYesterday's Canada 28 draws covered the period from June 29 to July 5, 2026, spanning a total of 2,815 draws. Throughout the week, the big\u002Fsmall ratio stood at 1,437:1,378, with big numbers slightly dominating at 51.05%, compared to the theoretical expectation of 50%, showing a deviation of +1.05%. The odd\u002Feven ratio was nearly balanced at 50.34% and 49.66%, closely aligning with theoretical values.\n\n**Daily Big\u002FSmall Trends:**\n- From Monday to Wednesday, the big number ratio surged from 47.89% to 55.47%, indicating growth.\n- The latter half of the week saw more stability, ending at 49.25%.\n- Regarding odd\u002Feven trends, Thursday marked the highest fluctuation, with odd numbers reaching 54.23%.\n\nThese patterns suggest notable system fluctuations during different time periods.\n\n## Weekly Highlights\n\nOn June 29, several extreme events occurred, including rare triple numbers \"555,\" \"111,\" and \"000,\" alongside a total sum of 0. Similar anomalies reappeared on July 2, featuring \"000\" and another total sum of 0.\n\nSurprisingly, July 3 witnessed yet another rare triple number \"000,\" followed by frequent extreme total sums. Such occurrences are extraordinarily rare, making their repeated appearance within a single week remarkable.\n\n## AI Algorithm Performance\n\nAmong the 30 AI algorithms evaluated this week, the \"Monte Carlo\" algorithm stood out with a leading accuracy rate of 46.12%. \"Mean Reversion\" followed closely at 46.03%, while \"Anti-Martingale\" secured third place with 45.92%. Each algorithm was validated using a sample size of 11,260, showcasing impressive precision.\n\nIn contrast, the lowest-performing algorithm, \"Second-Order Transition,\" achieved only 35.16% accuracy, indicating a notable deviation.\n\n## Summary\n\nThis week's data distribution highlighted the characteristic of \"volatility,\" especially in the short-term shifts of big\u002Fsmall and odd\u002Feven ratios. The AI algorithms demonstrated increasing stability, with the \"Monte Carlo\" algorithm delivering exceptional results as the weekly champion. The frequent occurrence of extreme events added intrigue to the data, warranting continued observation of future trends.",7,[18,27,35],{"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","Shocking! Triple Number 3+3+3 Appears Again","In Canada 28 draw #3461618, the rare triple number 3+3+3 appeared again, an event with a mere 1% probability.",3,{"slug":28,"type":29,"extremeSubtype":6,"publishAt":30,"coverImage":31,"viewCount":10,"title":32,"summary":33,"readMinutes":34},"2026-07-25-ai-performance-review","daily","2026-07-26 00:30:00","\u002Fstatic\u002Fog\u002F2026-07-25-ai-performance-review.jpg","AI Hit Rate Insights: Yesterday's Top Five Algorithms","Yesterday's Canada 28 AI algorithm hit rates revealed close competition among the top five, while the bottom three showed significant fluctuations, drawing attention.",8,{"slug":36,"type":20,"extremeSubtype":21,"publishAt":37,"coverImage":38,"viewCount":10,"title":39,"summary":40,"readMinutes":26},"2026-07-26-extreme-triple-4","2026-07-26 00:27:40","\u002Fstatic\u002Fog\u002F2026-07-26-extreme-triple-4.jpg","Shocking! Triple Number 4+4+4 Reappears After Just One Day","Canada 28 draw #3461503 showcased the rare triple number 4+4+4, with a theoretical probability of only 1%. This extraordinary event, occurring just one day after the last instance, has stirred significant debate.",[42,48,54,59,65,71,77,82,87,93,99,105,111,117,123,129,135,141,146,152,158,164,170,176,182,188,194,200,206,212],{"code":43,"nameZhCn":44,"nameZhTw":45,"nameEnUs":46,"sortOrder":47},"quantum_probability","量子概率引擎","量子機率引擎","Quantum Probability Engine",1,{"code":49,"nameZhCn":50,"nameZhTw":51,"nameEnUs":52,"sortOrder":53},"deep_neural_network","深度神经网络","深度神經網路","Deep Neural Network",2,{"code":55,"nameZhCn":56,"nameZhTw":57,"nameEnUs":58,"sortOrder":26},"genetic_evolution","遗传进化算法","遺傳進化演算法","Genetic Evolution Algorithm",{"code":60,"nameZhCn":61,"nameZhTw":62,"nameEnUs":63,"sortOrder":64},"markov_chain","马尔可夫链","馬可夫鏈","Markov Chain",4,{"code":66,"nameZhCn":67,"nameZhTw":68,"nameEnUs":69,"sortOrder":70},"deep_learning","深度学习","深度學習","Deep Learning",5,{"code":72,"nameZhCn":73,"nameZhTw":74,"nameEnUs":75,"sortOrder":76},"bayesian","贝叶斯推理","貝氏推論","Bayesian Inference",6,{"code":78,"nameZhCn":79,"nameZhTw":80,"nameEnUs":81,"sortOrder":16},"random_forest","随机森林","隨機森林","Random Forest",{"code":83,"nameZhCn":84,"nameZhTw":85,"nameEnUs":86,"sortOrder":34},"lstm","LSTM 长短期记忆","LSTM 長短期記憶","LSTM Network",{"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]