[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"reports-detail-2026-07-19-week-ai-overview-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},"2026-07-19-week-ai-overview","weekly",null,"2026-07-20 00:35:00","2026-07-20 00:35:13","\u002Fstatic\u002Fog\u002F2026-07-19-week-ai-overview.jpg",0,"This Week's Canada 28 AI Algorithm Performance Review","Canada 28 Weekly AI Algorithm Performance Insights and Highlights","Analyzing the performance of 30 Canada 28 AI algorithms, this week's data trends and extreme events are reviewed, focusing on top-performing algorithms and rare data phenomena.","This week, Canada 28 AI algorithms like 'Gibbs Entropy' and 'Deep Learning' stood out. Big\u002Fsmall and odd\u002Feven ratios remained stable, though extreme events were frequent.","## Weekly Data Performance Overview\n\nFrom July 13 to July 19, 2026, Canada 28 held a total of 2,813 draws, covering draw numbers 3456271 to 3459083. During this period, the big\u002Fsmall ratio was nearly balanced, with big numbers appearing 49.77% of the time and small numbers 50.23%, closely aligning with historical averages. Similarly, the odd\u002Feven ratio showed no significant deviation, with odd numbers drawn 1,411 times (50.16%) and even numbers 1,402 times (49.84%).\n\n## Highlights of AI Algorithm Performance\n\nIn this week's algorithm rankings, \"Gibbs Entropy\" and \"Kelly Criterion\" tied for first place with an overall accuracy rate of 45.55%, demonstrating consistently high hit rates across the 2,813 draws. The \"Deep Learning\" algorithm followed closely in third place with an overall accuracy rate of 45.41%, excelling particularly in sum predictions with an impressive 54.53% accuracy.\n\nOn the lower end, algorithms like \"Double Step Transition\" and \"Chasing Misses\" achieved overall accuracy rates of only 33.96% and 35.57%, respectively, due to weaker performance in numerical predictions, which stood at 12.26% and 18.7%.\n\n## Daily Data and Trends\n\nDaily data trends showed that the big\u002Fsmall ratio stabilized around 50% after starting the week at 48.63%. Minor fluctuations were observed, but these remained within normal ranges. Similarly, the odd\u002Feven ratio hovered around the 50% mark, indicating no persistent anomalies. Overall, the week exhibited stable patterns without significant irregularities.\n\n## Review of Extreme Data Events\n\nSeveral notable extreme events occurred this week. On July 13 and July 15, multiple instances of the same triple numbers were drawn, such as the triple 9 in draw 3456303. Additionally, an extreme sum of 27 was recorded on July 16, providing valuable insights for future trend analysis.\n\n## Closing Thoughts\n\nThis week's Canada 28 AI algorithm data demonstrated overall stability, punctuated by intriguing extreme events. We look forward to uncovering more valuable observations in next week's data.",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]