docs(predictV3): 添加predictV3算法优化研究文档和前端功能实现
- 完成Phase 11: predictV3算法优化研究文档，涵盖6个优化方向的技术分析 - 实现置信度评估功能，提供历史命中率、得分分布、多维度一致性置信度指标 - 扩展回测指标体系，新增NDCG@K、MRR、命中率分布等排名质量评估指标 - 优化转移概率算法，引入二阶马尔可夫链和多属性联合转移增强预测准确性 - 设计权重训练机制，支持网格搜索和遗传算法进行数据驱动的参数优化 - 集成组合特征挖掘功能，采用关联规则和序列模式发现号码间潜在关联 - 实现完整的前端交互界面，支持预测结果显示、置信度展示和回测验证功能 - 建立性能优化策略，包括预计算缓存、批量计算和降级策略保障响应速度
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<?php
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/**
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* 上期正码与当期特码关联规律分析脚本
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*
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* 分析维度：
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* 1. 上期正码平均值与下期特码的差值分布
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* 2. 上期正码范围[min,max]与下期特码的关系
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* 3. 上期正码与下期特码的最短距离分布
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* 4. 上期正码和值尾数与下期特码尾数的关系
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* 5. 上期正码覆盖区间与下期特码所在区间的关系
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* 6. 上期正码波色分布与下期特码波色的关系
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* 7. 上期特码与下期特码的转移关系
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*/
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// 波色映射表
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$colorMap = [
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1 => '红', 2 => '红', 3 => '蓝', 4 => '蓝', 5 => '绿', 6 => '绿',
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7 => '红', 8 => '红', 9 => '蓝', 10 => '蓝', 11 => '绿', 12 => '红',
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13 => '红', 14 => '蓝', 15 => '蓝', 16 => '绿', 17 => '绿', 18 => '红',
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19 => '红', 20 => '蓝', 21 => '绿', 22 => '绿', 23 => '红', 24 => '红',
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25 => '蓝', 26 => '蓝', 27 => '绿', 28 => '绿', 29 => '红', 30 => '红',
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31 => '蓝', 32 => '绿', 33 => '绿', 34 => '红', 35 => '红', 36 => '蓝',
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37 => '蓝', 38 => '绿', 39 => '绿', 40 => '红', 41 => '蓝', 42 => '蓝',
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43 => '绿', 44 => '绿', 45 => '红', 46 => '红', 47 => '蓝', 48 => '蓝',
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49 => '绿'
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];
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// 区间划分（1-10小号，11-30中号，31-49大号）
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function getRange($num) {
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if ($num >= 1 && $num <= 10) return '小号(1-10)';
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if ($num >= 11 && $num <= 30) return '中号(11-30)';
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return '大号(31-49)';
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}
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// 获取数字的尾数
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function getTail($num) {
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return $num % 10;
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}
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// 从SQL数据提取历史记录
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$history = [];
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$sqlFile = 'C:\Users\91611\Desktop\fa_history.sql';
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$content = file_get_contents($sqlFile);
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// 解析INSERT语句
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preg_match_all("/INSERT INTO `fa_history` VALUES \((\d+), (\d+), (\d+), (\d+), (\d+), (\d+), (\d+), (\d+), '([^']+)'\)/", $content, $matches);
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for ($i = 0; $i < count($matches[0]); $i++) {
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$history[] = [
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'expect' => (int)$matches[1][$i],
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'num1' => (int)$matches[2][$i],
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'num2' => (int)$matches[3][$i],
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'num3' => (int)$matches[4][$i],
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'num4' => (int)$matches[5][$i],
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'num5' => (int)$matches[6][$i],
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'num6' => (int)$matches[7][$i],
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'num7' => (int)$matches[8][$i],
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'openTime' => $matches[9][$i]
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];
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}
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// 按期号排序
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usort($history, function($a, $b) {
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return $a['expect'] - $b['expect'];
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});
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echo "=== 数据概览 ===\n";
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echo "总期数: " . count($history) . "\n";
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echo "期号范围: {$history[0]['expect']} - {$history[count($history)-1]['expect']}\n\n";
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// 分析结果存储
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$analysisResults = [];
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// ============ 维度1: 上期正码平均值与下期特码的差值分布 ============
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echo "=== 维度1: 上期正码平均值与下期特码的差值分布 ===\n";
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$avgDifferences = [];
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$avgDiffPredictions = []; // 基于平均值的预测命中率
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for ($i = 0; $i < count($history) - 1; $i++) {
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$current = $history[$i];
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$next = $history[$i + 1];
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// 计算上期正码平均值
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$avg = ($current['num1'] + $current['num2'] + $current['num3'] +
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$current['num4'] + $current['num5'] + $current['num6']) / 6;
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// 与下期特码的差值
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$diff = $next['num7'] - $avg;
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$avgDifferences[] = round($diff);
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}
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// 统计差值分布
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$avgDiffStats = array_count_values($avgDifferences);
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ksort($avgDiffStats);
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echo "差值分布（差值=下期特码-上期正码平均值）:\n";
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foreach ($avgDiffStats as $diff => $count) {
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$percent = round($count / (count($history) - 1) * 100, 2);
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echo " 差值 $diff: $count次 ($percent%)\n";
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}
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// 分析差值范围预测效果
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echo "\n差值范围预测效果:\n";
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$diffRanges = [
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'[-40,-20]' => 0,
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'[-20,-10]' => 0,
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'[-10,0]' => 0,
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'[0,10]' => 0,
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'[10,20]' => 0,
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'[20,40]' => 0
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];
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foreach ($avgDifferences as $diff) {
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if ($diff >= -40 && $diff < -20) $diffRanges['[-40,-20]']++;
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elseif ($diff >= -20 && $diff < -10) $diffRanges['[-20,-10]']++;
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elseif ($diff >= -10 && $diff < 0) $diffRanges['[-10,0]']++;
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elseif ($diff >= 0 && $diff < 10) $diffRanges['[0,10]']++;
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elseif ($diff >= 10 && $diff < 20) $diffRanges['[10,20]']++;
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elseif ($diff >= 20 && $diff <= 40) $diffRanges['[20,40]']++;
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}
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$total = count($avgDifferences);
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foreach ($diffRanges as $range => $count) {
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$percent = round($count / $total * 100, 2);
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echo " $range: $count次 ($percent%)\n";
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}
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// 基于平均值±10范围的预测命中率分析
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$hitCount = 0;
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$predictionRange = 10; // 预测范围
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for ($i = 0; $i < count($history) - 1; $i++) {
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$current = $history[$i];
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$next = $history[$i + 1];
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$avg = ($current['num1'] + $current['num2'] + $current['num3'] +
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$current['num4'] + $current['num5'] + $current['num6']) / 6;
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// 预测范围：平均值±10
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$predictMin = max(1, floor($avg) - $predictionRange);
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$predictMax = min(49, floor($avg) + $predictionRange);
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// 检查下期特码是否在预测范围内
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if ($next['num7'] >= $predictMin && $next['num7'] <= $predictMax) {
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$hitCount++;
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}
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}
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echo "\n基于平均值±$predictionRange范围的预测命中率: " . round($hitCount / (count($history) - 1) * 100, 2) . "% ($hitCount/" . (count($history)-1) . ")\n";
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echo "\n";
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// ============ 维度2: 上期正码范围[min,max]与下期特码的关系 ============
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echo "=== 维度2: 上期正码范围[min,max]与下期特码的关系 ===\n";
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$inRangeCount = 0;
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$belowRangeCount = 0;
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$aboveRangeCount = 0;
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$rangeStats = [];
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for ($i = 0; $i < count($history) - 1; $i++) {
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$current = $history[$i];
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$next = $history[$i + 1];
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// 上期正码范围
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$nums = [$current['num1'], $current['num2'], $current['num3'],
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$current['num4'], $current['num5'], $current['num6']];
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$min = min($nums);
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$max = max($nums);
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$rangeWidth = $max - $min;
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// 下期特码与范围的关系
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if ($next['num7'] >= $min && $next['num7'] <= $max) {
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$inRangeCount++;
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$relation = '在范围内';
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} elseif ($next['num7'] < $min) {
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$belowRangeCount++;
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$relation = '低于范围';
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} else {
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$aboveRangeCount++;
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$relation = '高于范围';
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}
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// 统计范围宽度与关系
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$rangeKey = "范围宽度$rangeWidth";
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if (!isset($rangeStats[$rangeKey])) {
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$rangeStats[$rangeKey] = ['在范围内' => 0, '低于范围' => 0, '高于范围' => 0];
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}
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$rangeStats[$rangeKey][$relation]++;
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}
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$total = count($history) - 1;
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echo "下期特码位置分布:\n";
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echo " 在上期正码范围内: $inRangeCount次 (" . round($inRangeCount / $total * 100, 2) . "%)\n";
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echo " 低于上期正码范围: $belowRangeCount次 (" . round($belowRangeCount / $total * 100, 2) . "%)\n";
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echo " 高于上期正码范围: $aboveRangeCount次 (" . round($aboveRangeCount / $total * 100, 2) . "%)\n";
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echo "\n范围宽度与特码位置关系:\n";
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ksort($rangeStats);
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foreach ($rangeStats as $width => $stats) {
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$widthTotal = array_sum($stats);
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echo " $width (共$widthTotal期):\n";
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foreach ($stats as $relation => $count) {
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$percent = round($count / $widthTotal * 100, 2);
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echo " $relation: $count次 ($percent%)\n";
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}
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}
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// 计算范围宽度的平均值
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$avgRangeWidth = 0;
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for ($i = 0; $i < count($history) - 1; $i++) {
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$current = $history[$i];
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$nums = [$current['num1'], $current['num2'], $current['num3'],
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$current['num4'], $current['num5'], $current['num6']];
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$avgRangeWidth += max($nums) - min($nums);
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}
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$avgRangeWidth = round($avgRangeWidth / (count($history) - 1), 2);
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echo "\n平均范围宽度: $avgRangeWidth\n";
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echo "\n";
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// ============ 维度3: 上期正码与下期特码的最短距离分布 ============
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echo "=== 维度3: 上期正码与下期特码的最短距离分布 ===\n";
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$minDistances = [];
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$distanceStats = [];
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for ($i = 0; $i < count($history) - 1; $i++) {
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$current = $history[$i];
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$next = $history[$i + 1];
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// 计算上期正码与下期特码的最短距离
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$nums = [$current['num1'], $current['num2'], $current['num3'],
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$current['num4'], $current['num5'], $current['num6']];
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$minDist = PHP_INT_MAX;
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foreach ($nums as $num) {
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$dist = abs($next['num7'] - $num);
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if ($dist < $minDist) $minDist = $dist;
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}
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$minDistances[] = $minDist;
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if (!isset($distanceStats[$minDist])) {
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$distanceStats[$minDist] = 0;
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}
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$distanceStats[$minDist]++;
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}
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ksort($distanceStats);
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echo "最短距离分布:\n";
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foreach ($distanceStats as $dist => $count) {
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$percent = round($count / (count($history) - 1) * 100, 2);
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echo " 距离 $dist: $count次 ($percent%)\n";
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}
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// 分析距离≤5的命中率
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$closeHitCount = count(array_filter($minDistances, function($d) { return $d <= 5; }));
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echo "\n最短距离≤5的比例: " . round($closeHitCount / (count($history) - 1) * 100, 2) . "% ($closeHitCount/" . (count($history)-1) . ")\n";
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$veryCloseHitCount = count(array_filter($minDistances, function($d) { return $d <= 3; }));
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echo "最短距离≤3的比例: " . round($veryCloseHitCount / (count($history) - 1) * 100, 2) . "% ($veryCloseHitCount/" . (count($history)-1) . ")\n";
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// 基于最短距离预测（围绕上期正码±3的范围）
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$predictionHit = 0;
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for ($i = 0; $i < count($history) - 1; $i++) {
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$current = $history[$i];
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$next = $history[$i + 1];
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$nums = [$current['num1'], $current['num2'], $current['num3'],
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$current['num4'], $current['num5'], $current['num6']];
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// 预测范围：每个正码±3
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$predicted = [];
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foreach ($nums as $num) {
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for ($p = max(1, $num - 3); $p <= min(49, $num + 3); $p++) {
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$predicted[$p] = true;
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}
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}
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if (isset($predicted[$next['num7']])) {
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$predictionHit++;
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}
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}
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echo "基于正码±3范围预测命中率: " . round($predictionHit / (count($history) - 1) * 100, 2) . "% ($predictionHit/" . (count($history)-1) . ")\n";
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echo "预测范围大小: 约" . count($predicted) . "个数字\n";
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echo "\n";
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// ============ 维度4: 上期正码和值尾数与下期特码尾数的关系 ============
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echo "=== 维度4: 上期正码和值尾数与下期特码尾数的关系 ===\n";
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$sumTailRelations = [];
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$tailSameCount = 0;
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$tailDiff1Count = 0;
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$tailDiff2Count = 0;
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for ($i = 0; $i < count($history) - 1; $i++) {
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$current = $history[$i];
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$next = $history[$i + 1];
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// 上期正码和值
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$sum = $current['num1'] + $current['num2'] + $current['num3'] +
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$current['num4'] + $current['num5'] + $current['num6'];
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$sumTail = getTail($sum);
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// 下期特码尾数
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$nextTail = getTail($next['num7']);
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// 统计尾数关系
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$tailDiff = abs($sumTail - $nextTail);
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if ($tailDiff > 5) $tailDiff = 10 - $tailDiff; // 考虑环形差异
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if (!isset($sumTailRelations[$sumTail])) {
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$sumTailRelations[$sumTail] = [];
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}
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if (!isset($sumTailRelations[$sumTail][$nextTail])) {
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$sumTailRelations[$sumTail][$nextTail] = 0;
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}
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$sumTailRelations[$sumTail][$nextTail]++;
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if ($tailDiff == 0) $tailSameCount++;
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elseif ($tailDiff == 1) $tailDiff1Count++;
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elseif ($tailDiff == 2) $tailDiff2Count++;
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}
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$total = count($history) - 1;
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echo "尾数关系分布:\n";
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echo " 尾数相同: $tailSameCount次 (" . round($tailSameCount / $total * 100, 2) . "%)\n";
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echo " 尾数相差1: $tailDiff1Count次 (" . round($tailDiff1Count / $total * 100, 2) . "%)\n";
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echo " 尾数相差2: $tailDiff2Count次 (" . round($tailDiff2Count / $total * 100, 2) . "%)\n";
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echo "\n上期和值尾数→下期特码尾数转移矩阵:\n";
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for ($sumTail = 0; $sumTail <= 9; $sumTail++) {
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echo " 和值尾数$sumTail → ";
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if (isset($sumTailRelations[$sumTail])) {
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$maxTail = -1;
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$maxCount = 0;
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foreach ($sumTailRelations[$sumTail] as $nextTail => $count) {
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if ($count > $maxCount) {
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$maxCount = $count;
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$maxTail = $nextTail;
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}
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}
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$totalCount = array_sum($sumTailRelations[$sumTail]);
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$percent = round($maxCount / $totalCount * 100, 2);
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echo "最可能尾数$maxTail ($maxCount次, $percent%), 其他: ";
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$others = [];
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foreach ($sumTailRelations[$sumTail] as $nextTail => $count) {
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if ($nextTail != $maxTail) {
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$others[] = "$nextTail($count)";
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}
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}
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echo implode(', ', $others) . "\n";
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} else {
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echo "无数据\n";
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}
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}
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// 基于尾数预测命中率
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$tailPredictionHit = 0;
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for ($i = 0; $i < count($history) - 1; $i++) {
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$current = $history[$i];
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$next = $history[$i + 1];
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$sum = $current['num1'] + $current['num2'] + $current['num3'] +
|
||||
$current['num4'] + $current['num5'] + $current['num6'];
|
||||
$sumTail = getTail($sum);
|
||||
|
||||
// 预测：和值尾数±2范围内的尾数
|
||||
$predictTails = [
|
||||
$sumTail,
|
||||
($sumTail + 1) % 10,
|
||||
($sumTail - 1 + 10) % 10,
|
||||
($sumTail + 2) % 10,
|
||||
($sumTail - 2 + 10) % 10
|
||||
];
|
||||
|
||||
$nextTail = getTail($next['num7']);
|
||||
if (in_array($nextTail, $predictTails)) {
|
||||
$tailPredictionHit++;
|
||||
}
|
||||
}
|
||||
echo "\n基于和值尾数±2范围的尾数预测命中率: " . round($tailPredictionHit / (count($history) - 1) * 100, 2) . "% ($tailPredictionHit/" . (count($history)-1) . ")\n";
|
||||
echo "预测范围: 5个尾数，每个尾数对应约5个数字，共约25个数字\n";
|
||||
|
||||
echo "\n";
|
||||
|
||||
// ============ 维度5: 上期正码覆盖区间与下期特码所在区间的关系 ============
|
||||
echo "=== 维度5: 上期正码覆盖区间与下期特码所在区间的关系 ===\n";
|
||||
|
||||
$rangeCoverStats = [];
|
||||
$rangeTransferStats = [];
|
||||
|
||||
for ($i = 0; $i < count($history) - 1; $i++) {
|
||||
$current = $history[$i];
|
||||
$next = $history[$i + 1];
|
||||
|
||||
$nums = [$current['num1'], $current['num2'], $current['num3'],
|
||||
$current['num4'], $current['num5'], $current['num6']];
|
||||
|
||||
// 上期正码覆盖的区间
|
||||
$covers = [];
|
||||
foreach ($nums as $num) {
|
||||
$covers[getRange($num)] = true;
|
||||
}
|
||||
$coverStr = implode('+', array_keys($covers));
|
||||
|
||||
// 下期特码所在区间
|
||||
$nextRange = getRange($next['num7']);
|
||||
|
||||
if (!isset($rangeCoverStats[$coverStr])) {
|
||||
$rangeCoverStats[$coverStr] = [];
|
||||
}
|
||||
if (!isset($rangeCoverStats[$coverStr][$nextRange])) {
|
||||
$rangeCoverStats[$coverStr][$nextRange] = 0;
|
||||
}
|
||||
$rangeCoverStats[$coverStr][$nextRange]++;
|
||||
|
||||
// 统计覆盖度与特码位置
|
||||
$coverCount = count($covers);
|
||||
if (!isset($rangeTransferStats[$coverCount])) {
|
||||
$rangeTransferStats[$coverCount] = [
|
||||
'小号(1-10)' => 0,
|
||||
'中号(11-30)' => 0,
|
||||
'大号(31-49)' => 0
|
||||
];
|
||||
}
|
||||
$rangeTransferStats[$coverCount][$nextRange]++;
|
||||
}
|
||||
|
||||
echo "上期正码覆盖区间→下期特码区间转移:\n";
|
||||
foreach ($rangeCoverStats as $cover => $nextStats) {
|
||||
$totalCover = array_sum($nextStats);
|
||||
echo " $cover (共$totalCover期):\n";
|
||||
foreach ($nextStats as $nextRange => $count) {
|
||||
$percent = round($count / $totalCover * 100, 2);
|
||||
echo " → $nextRange: $count次 ($percent%)\n";
|
||||
}
|
||||
}
|
||||
|
||||
echo "\n上期正码覆盖区间数量与下期特码分布:\n";
|
||||
foreach ($rangeTransferStats as $coverCount => $stats) {
|
||||
$totalCover = array_sum($stats);
|
||||
echo " 覆盖$coverCount个区间 (共$totalCover期):\n";
|
||||
foreach ($stats as $range => $count) {
|
||||
$percent = round($count / $totalCover * 100, 2);
|
||||
echo " $range: $count次 ($percent%)\n";
|
||||
}
|
||||
}
|
||||
|
||||
// 分析特码是否在上期正码覆盖的区间内
|
||||
$hitInCoveredRange = 0;
|
||||
for ($i = 0; $i < count($history) - 1; $i++) {
|
||||
$current = $history[$i];
|
||||
$next = $history[$i + 1];
|
||||
|
||||
$nums = [$current['num1'], $current['num2'], $current['num3'],
|
||||
$current['num4'], $current['num5'], $current['num6']];
|
||||
|
||||
$covers = [];
|
||||
foreach ($nums as $num) {
|
||||
$covers[getRange($num)] = true;
|
||||
}
|
||||
|
||||
$nextRange = getRange($next['num7']);
|
||||
if (isset($covers[$nextRange])) {
|
||||
$hitInCoveredRange++;
|
||||
}
|
||||
}
|
||||
echo "\n下期特码在上期正码覆盖区间内的比例: " . round($hitInCoveredRange / (count($history) - 1) * 100, 2) . "% ($hitInCoveredRange/" . (count($history)-1) . ")\n";
|
||||
|
||||
echo "\n";
|
||||
|
||||
// ============ 维度6: 上期正码波色分布与下期特码波色的关系 ============
|
||||
echo "=== 维度6: 上期正码波色分布与下期特码波色的关系 ===\n";
|
||||
|
||||
$colorDistributionStats = [];
|
||||
$colorTransferStats = [];
|
||||
$dominantColorStats = [];
|
||||
|
||||
for ($i = 0; $i < count($history) - 1; $i++) {
|
||||
$current = $history[$i];
|
||||
$next = $history[$i + 1];
|
||||
|
||||
// 上期正码波色分布
|
||||
$colors = [];
|
||||
$nums = [$current['num1'], $current['num2'], $current['num3'],
|
||||
$current['num4'], $current['num5'], $current['num6']];
|
||||
foreach ($nums as $num) {
|
||||
$color = $colorMap[$num];
|
||||
if (!isset($colors[$color])) {
|
||||
$colors[$color] = 0;
|
||||
}
|
||||
$colors[$color]++;
|
||||
}
|
||||
|
||||
// 波色分布字符串
|
||||
$colorStr = "红{$colors['红']}蓝{$colors['蓝']}绿{$colors['绿']}";
|
||||
|
||||
// 下期特码波色
|
||||
$nextColor = $colorMap[$next['num7']];
|
||||
|
||||
// 统计波色分布→特码波色
|
||||
if (!isset($colorDistributionStats[$colorStr])) {
|
||||
$colorDistributionStats[$colorStr] = [];
|
||||
}
|
||||
if (!isset($colorDistributionStats[$colorStr][$nextColor])) {
|
||||
$colorDistributionStats[$colorStr][$nextColor] = 0;
|
||||
}
|
||||
$colorDistributionStats[$colorStr][$nextColor]++;
|
||||
|
||||
// 统计主导波色→特码波色
|
||||
$dominantColor = array_keys($colors, max($colors))[0];
|
||||
if (!isset($dominantColorStats[$dominantColor])) {
|
||||
$dominantColorStats[$dominantColor] = [];
|
||||
}
|
||||
if (!isset($dominantColorStats[$dominantColor][$nextColor])) {
|
||||
$dominantColorStats[$dominantColor][$nextColor] = 0;
|
||||
}
|
||||
$dominantColorStats[$dominantColor][$nextColor]++;
|
||||
}
|
||||
|
||||
echo "上期正码波色分布→下期特码波色转移:\n";
|
||||
// 按出现次数排序
|
||||
$sortedColorDist = $colorDistributionStats;
|
||||
uasort($sortedColorDist, function($a, $b) {
|
||||
return array_sum($b) - array_sum($a);
|
||||
});
|
||||
|
||||
foreach ($sortedColorDist as $dist => $nextStats) {
|
||||
$totalDist = array_sum($nextStats);
|
||||
if ($totalDist >= 5) { // 只显示出现5次以上的分布
|
||||
echo " $dist (共$totalDist期):\n";
|
||||
foreach ($nextStats as $nextColor => $count) {
|
||||
$percent = round($count / $totalDist * 100, 2);
|
||||
echo " → $nextColor: $count次 ($percent%)\n";
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
echo "\n上期主导波色→下期特码波色转移:\n";
|
||||
foreach ($dominantColorStats as $dominant => $nextStats) {
|
||||
$totalDom = array_sum($nextStats);
|
||||
echo " 主导$dominant (共$totalDom期):\n";
|
||||
foreach ($nextStats as $nextColor => $count) {
|
||||
$percent = round($count / $totalDom * 100, 2);
|
||||
echo " → $nextColor: $count次 ($percent%)\n";
|
||||
}
|
||||
}
|
||||
|
||||
// 基于主导波色预测命中率
|
||||
$dominantPredictionHit = 0;
|
||||
for ($i = 0; $i < count($history) - 1; $i++) {
|
||||
$current = $history[$i];
|
||||
$next = $history[$i + 1];
|
||||
|
||||
$nums = [$current['num1'], $current['num2'], $current['num3'],
|
||||
$current['num4'], $current['num5'], $current['num6']];
|
||||
$colors = [];
|
||||
foreach ($nums as $num) {
|
||||
$color = $colorMap[$num];
|
||||
if (!isset($colors[$color])) $colors[$color] = 0;
|
||||
$colors[$color]++;
|
||||
}
|
||||
|
||||
$dominantColor = array_keys($colors, max($colors))[0];
|
||||
$nextColor = $colorMap[$next['num7']];
|
||||
|
||||
if ($dominantColor == $nextColor) {
|
||||
$dominantPredictionHit++;
|
||||
}
|
||||
}
|
||||
echo "\n主导波色预测命中率: " . round($dominantPredictionHit / (count($history) - 1) * 100, 2) . "% ($dominantPredictionHit/" . (count($history)-1) . ")\n";
|
||||
|
||||
// 基于上期正码波色预测（扩展到两种最可能波色）
|
||||
$expandedColorPredictionHit = 0;
|
||||
for ($i = 0; $i < count($history) - 1; $i++) {
|
||||
$current = $history[$i];
|
||||
$next = $history[$i + 1];
|
||||
|
||||
$nums = [$current['num1'], $current['num2'], $current['num3'],
|
||||
$current['num4'], $current['num5'], $current['num6']];
|
||||
$colors = ['红' => 0, '蓝' => 0, '绿' => 0];
|
||||
foreach ($nums as $num) {
|
||||
$colors[$colorMap[$num]]++;
|
||||
}
|
||||
|
||||
// 选择出现次数最多的两种波色
|
||||
arsort($colors);
|
||||
$topColors = array_keys(array_slice($colors, 0, 2, true));
|
||||
|
||||
$nextColor = $colorMap[$next['num7']];
|
||||
if (in_array($nextColor, $topColors)) {
|
||||
$expandedColorPredictionHit++;
|
||||
}
|
||||
}
|
||||
echo "扩展到两种主导波色预测命中率: " . round($expandedColorPredictionHit / (count($history) - 1) * 100, 2) . "% ($expandedColorPredictionHit/" . (count($history)-1) . ")\n";
|
||||
|
||||
echo "\n";
|
||||
|
||||
// ============ 维度7: 上期特码与下期特码的转移关系（马尔可夫分析） ============
|
||||
echo "=== 维度7: 上期特码与下期特码的转移关系（马尔可夫分析） ===\n";
|
||||
|
||||
$specialTransfer = [];
|
||||
$specialRangeTransfer = [];
|
||||
|
||||
for ($i = 0; $i < count($history) - 1; $i++) {
|
||||
$current = $history[$i];
|
||||
$next = $history[$i + 1];
|
||||
|
||||
$currentSpecial = $current['num7'];
|
||||
$nextSpecial = $next['num7'];
|
||||
|
||||
// 精确转移统计
|
||||
if (!isset($specialTransfer[$currentSpecial])) {
|
||||
$specialTransfer[$currentSpecial] = [];
|
||||
}
|
||||
if (!isset($specialTransfer[$currentSpecial][$nextSpecial])) {
|
||||
$specialTransfer[$currentSpecial][$nextSpecial] = 0;
|
||||
}
|
||||
$specialTransfer[$currentSpecial][$nextSpecial]++;
|
||||
|
||||
// 区间转移统计
|
||||
$currentRange = getRange($currentSpecial);
|
||||
$nextRange = getRange($nextSpecial);
|
||||
|
||||
if (!isset($specialRangeTransfer[$currentRange])) {
|
||||
$specialRangeTransfer[$currentRange] = [];
|
||||
}
|
||||
if (!isset($specialRangeTransfer[$currentRange][$nextRange])) {
|
||||
$specialRangeTransfer[$currentRange][$nextRange] = 0;
|
||||
}
|
||||
$specialRangeTransfer[$currentRange][$nextRange]++;
|
||||
}
|
||||
|
||||
echo "特码区间转移矩阵:\n";
|
||||
foreach ($specialRangeTransfer as $fromRange => $toStats) {
|
||||
$totalFrom = array_sum($toStats);
|
||||
echo " $fromRange → :\n";
|
||||
foreach ($toStats as $toRange => $count) {
|
||||
$percent = round($count / $totalFrom * 100, 2);
|
||||
echo " $toRange: $count次 ($percent%)\n";
|
||||
}
|
||||
}
|
||||
|
||||
// 找出高频转移
|
||||
echo "\n高频特码转移（出现2次以上）:\n";
|
||||
foreach ($specialTransfer as $from => $toStats) {
|
||||
foreach ($toStats as $to => $count) {
|
||||
if ($count >= 2) {
|
||||
echo " 特码$from → 特码$to: $count次\n";
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 基于特码区间预测
|
||||
$specialRangePredictionHit = 0;
|
||||
for ($i = 0; $i < count($history) - 1; $i++) {
|
||||
$current = $history[$i];
|
||||
$next = $history[$i + 1];
|
||||
|
||||
$currentRange = getRange($current['num7']);
|
||||
|
||||
// 找出该区间最可能转移到的两个区间
|
||||
$transferStats = $specialRangeTransfer[$currentRange];
|
||||
arsort($transferStats);
|
||||
$topRanges = array_keys(array_slice($transferStats, 0, 2, true));
|
||||
|
||||
$nextRange = getRange($next['num7']);
|
||||
if (in_array($nextRange, $topRanges)) {
|
||||
$specialRangePredictionHit++;
|
||||
}
|
||||
}
|
||||
echo "\n基于特码区间转移预测（前2区间）命中率: " . round($specialRangePredictionHit / (count($history) - 1) * 100, 2) . "% ($specialRangePredictionHit/" . (count($history)-1) . ")\n";
|
||||
|
||||
echo "\n";
|
||||
|
||||
// ============ 综合分析：寻找40%以上命中率的规律 ============
|
||||
echo "=== 综合分析：寻找40%以上命中率的规律 ===\n\n";
|
||||
|
||||
// 综合预测模型
|
||||
echo "【综合预测模型测试】\n\n";
|
||||
|
||||
$combinedHits = [
|
||||
'平均值±10范围' => $hitCount,
|
||||
'正码±3范围' => $predictionHit,
|
||||
'和值尾数±2尾数范围' => $tailPredictionHit,
|
||||
'覆盖区间预测' => $hitInCoveredRange,
|
||||
'主导波色预测' => $dominantPredictionHit,
|
||||
'双波色预测' => $expandedColorPredictionHit,
|
||||
'特码区间转移' => $specialRangePredictionHit
|
||||
];
|
||||
|
||||
echo "各维度预测命中率汇总:\n";
|
||||
$totalPredictions = count($history) - 1;
|
||||
foreach ($combinedHits as $name => $hit) {
|
||||
$percent = round($hit / $totalPredictions * 100, 2);
|
||||
$status = $percent >= 40 ? '【达标】' : '';
|
||||
echo " $name: $percent% ($hit/$totalPredictions) $status\n";
|
||||
}
|
||||
|
||||
// 组合预测测试
|
||||
echo "\n组合预测测试:\n";
|
||||
|
||||
$comboHits = 0;
|
||||
$comboPlusHits = 0;
|
||||
|
||||
for ($i = 0; $i < count($history) - 1; $i++) {
|
||||
$current = $history[$i];
|
||||
$next = $history[$i + 1];
|
||||
|
||||
$nums = [$current['num1'], $current['num2'], $current['num3'],
|
||||
$current['num4'], $current['num5'], $current['num6']];
|
||||
|
||||
// 方法1：平均值±15范围
|
||||
$avg = array_sum($nums) / 6;
|
||||
$avgRange = range(max(1, floor($avg) - 15), min(49, floor($avg) + 15));
|
||||
|
||||
// 方法2：正码±5范围
|
||||
$numRange = [];
|
||||
foreach ($nums as $num) {
|
||||
for ($p = max(1, $num - 5); $p <= min(49, $num + 5); $p++) {
|
||||
$numRange[$p] = true;
|
||||
}
|
||||
}
|
||||
|
||||
// 方法3：和值尾数±3范围的所有数字
|
||||
$sum = array_sum($nums);
|
||||
$sumTail = getTail($sum);
|
||||
$tailRange = [];
|
||||
for ($t = $sumTail - 3; $t <= $sumTail + 3; $t++) {
|
||||
$actualTail = ($t + 10) % 10;
|
||||
for ($n = 1; $n <= 49; $n++) {
|
||||
if (getTail($n) == $actualTail) {
|
||||
$tailRange[$n] = true;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// 组合1：平均值范围 OR 正码范围
|
||||
if (in_array($next['num7'], $avgRange) || isset($numRange[$next['num7']])) {
|
||||
$comboHits++;
|
||||
}
|
||||
|
||||
// 组合2：平均值范围 OR 正码范围 OR 尾数范围
|
||||
if (in_array($next['num7'], $avgRange) || isset($numRange[$next['num7']]) || isset($tailRange[$next['num7']])) {
|
||||
$comboPlusHits++;
|
||||
}
|
||||
}
|
||||
|
||||
echo "组合1（平均值±15 OR 正码±5）命中率: " . round($comboHits / $totalPredictions * 100, 2) . "% ($comboHits/$totalPredictions)\n";
|
||||
echo "组合2（平均值±15 OR 正码±5 OR 尾数±3）命中率: " . round($comboPlusHits / $totalPredictions * 100, 2) . "% ($comboPlusHits/$totalPredictions)\n";
|
||||
|
||||
// 波色+区间组合
|
||||
echo "\n波色+区间组合预测:\n";
|
||||
$colorRangeComboHit = 0;
|
||||
for ($i = 0; $i < count($history) - 1; $i++) {
|
||||
$current = $history[$i];
|
||||
$next = $history[$i + 1];
|
||||
|
||||
$nums = [$current['num1'], $current['num2'], $current['num3'],
|
||||
$current['num4'], $current['num5'], $current['num6']];
|
||||
|
||||
// 获取上期正码覆盖的波色和区间
|
||||
$colors = ['红' => 0, '蓝' => 0, '绿' => 0];
|
||||
$ranges = ['小号(1-10)' => 0, '中号(11-30)' => 0, '大号(31-49)' => 0];
|
||||
foreach ($nums as $num) {
|
||||
$colors[$colorMap[$num]]++;
|
||||
$ranges[getRange($num)]++;
|
||||
}
|
||||
|
||||
// 选择最可能的波色和区间
|
||||
arsort($colors);
|
||||
arsort($ranges);
|
||||
$topColor = array_keys($colors)[0];
|
||||
$topRange = array_keys($ranges)[0];
|
||||
|
||||
// 预测：该波色+该区间的交集
|
||||
$predictNums = [];
|
||||
foreach (range(1, 49) as $n) {
|
||||
if ($colorMap[$n] == $topColor && getRange($n) == $topRange) {
|
||||
$predictNums[$n] = true;
|
||||
}
|
||||
}
|
||||
|
||||
if (isset($predictNums[$next['num7']])) {
|
||||
$colorRangeComboHit++;
|
||||
}
|
||||
}
|
||||
echo "波色+区间交集预测命中率: " . round($colorRangeComboHit / $totalPredictions * 100, 2) . "% ($colorRangeComboHit/$totalPredictions)\n";
|
||||
echo "预测范围大小: " . count($predictNums) . "个数字\n";
|
||||
|
||||
// 扩展波色+区间（前2波色+前2区间）
|
||||
$colorRangeCombo2Hit = 0;
|
||||
for ($i = 0; $i < count($history) - 1; $i++) {
|
||||
$current = $history[$i];
|
||||
$next = $history[$i + 1];
|
||||
|
||||
$nums = [$current['num1'], $current['num2'], $current['num3'],
|
||||
$current['num4'], $current['num5'], $current['num6']];
|
||||
|
||||
$colors = ['红' => 0, '蓝' => 0, '绿' => 0];
|
||||
$ranges = ['小号(1-10)' => 0, '中号(11-30)' => 0, '大号(31-49)' => 0];
|
||||
foreach ($nums as $num) {
|
||||
$colors[$colorMap[$num]]++;
|
||||
$ranges[getRange($num)]++;
|
||||
}
|
||||
|
||||
arsort($colors);
|
||||
arsort($ranges);
|
||||
$top2Colors = array_keys(array_slice($colors, 0, 2, true));
|
||||
$top2Ranges = array_keys(array_slice($ranges, 0, 2, true));
|
||||
|
||||
$predictNums2 = [];
|
||||
foreach (range(1, 49) as $n) {
|
||||
if (in_array($colorMap[$n], $top2Colors) && in_array(getRange($n), $top2Ranges)) {
|
||||
$predictNums2[$n] = true;
|
||||
}
|
||||
}
|
||||
|
||||
if (isset($predictNums2[$next['num7']])) {
|
||||
$colorRangeCombo2Hit++;
|
||||
}
|
||||
}
|
||||
echo "前2波色+前2区间交集预测命中率: " . round($colorRangeCombo2Hit / $totalPredictions * 100, 2) . "% ($colorRangeCombo2Hit/$totalPredictions)\n";
|
||||
|
||||
echo "\n";
|
||||
|
||||
// ============ 总结：40%以上命中率的规律 ============
|
||||
echo "=== 总结：达到40%以上命中率的规律 ===\n\n";
|
||||
|
||||
$highHitRules = [];
|
||||
foreach ($combinedHits as $name => $hit) {
|
||||
$percent = round($hit / $totalPredictions * 100, 2);
|
||||
if ($percent >= 40) {
|
||||
$highHitRules[] = [
|
||||
'name' => $name,
|
||||
'percent' => $percent,
|
||||
'hit' => $hit,
|
||||
'total' => $totalPredictions
|
||||
];
|
||||
}
|
||||
}
|
||||
|
||||
if (count($highHitRules) > 0) {
|
||||
foreach ($highHitRules as $rule) {
|
||||
echo "【{$rule['name']}】命中率: {$rule['percent']}% ({$rule['hit']}/{$rule['total']})\n";
|
||||
}
|
||||
} else {
|
||||
echo "单维度分析中没有达到40%以上命中率的规律\n";
|
||||
}
|
||||
|
||||
// 组合规律
|
||||
echo "\n组合规律命中率:\n";
|
||||
echo "组合1（平均值±15 OR 正码±5）: " . round($comboHits / $totalPredictions * 100, 2) . "%\n";
|
||||
echo "组合2（平均值±15 OR 正码±5 OR 尾数±3）: " . round($comboPlusHits / $totalPredictions * 100, 2) . "%\n";
|
||||
echo "前2波色+前2区间交集: " . round($colorRangeCombo2Hit / $totalPredictions * 100, 2) . "%\n";
|
||||
|
||||
echo "\n分析完成！\n";
|
||||
@@ -0,0 +1,589 @@
|
||||
#!/usr/bin/env python3
|
||||
# -*- coding: utf-8 -*-
|
||||
"""
|
||||
上期正码与当期特码关联规律分析脚本
|
||||
|
||||
分析维度：
|
||||
1. 上期正码平均值与下期特码的差值分布
|
||||
2. 上期正码范围[min,max]与下期特码的关系
|
||||
3. 上期正码与下期特码的最短距离分布
|
||||
4. 上期正码和值尾数与下期特码尾数的关系
|
||||
5. 上期正码覆盖区间与下期特码所在区间的关系
|
||||
6. 上期正码波色分布与下期特码波色的关系
|
||||
7. 上期特码与下期特码的转移关系
|
||||
"""
|
||||
|
||||
import re
|
||||
from collections import defaultdict
|
||||
from pathlib import Path
|
||||
|
||||
# 波色映射表
|
||||
COLOR_MAP = {
|
||||
1: '红', 2: '红', 3: '蓝', 4: '蓝', 5: '绿', 6: '绿',
|
||||
7: '红', 8: '红', 9: '蓝', 10: '蓝', 11: '绿', 12: '红',
|
||||
13: '红', 14: '蓝', 15: '蓝', 16: '绿', 17: '绿', 18: '红',
|
||||
19: '红', 20: '蓝', 21: '绿', 22: '绿', 23: '红', 24: '红',
|
||||
25: '蓝', 26: '蓝', 27: '绿', 28: '绿', 29: '红', 30: '红',
|
||||
31: '蓝', 32: '绿', 33: '绿', 34: '红', 35: '红', 36: '蓝',
|
||||
37: '蓝', 38: '绿', 39: '绿', 40: '红', 41: '蓝', 42: '蓝',
|
||||
43: '绿', 44: '绿', 45: '红', 46: '红', 47: '蓝', 48: '蓝',
|
||||
49: '绿'
|
||||
}
|
||||
|
||||
def get_range(num):
|
||||
"""获取数字所在的区间"""
|
||||
if 1 <= num <= 10:
|
||||
return '小号(1-10)'
|
||||
elif 11 <= num <= 30:
|
||||
return '中号(11-30)'
|
||||
else:
|
||||
return '大号(31-49)'
|
||||
|
||||
def get_tail(num):
|
||||
"""获取数字的尾数"""
|
||||
return num % 10
|
||||
|
||||
def parse_sql_file(filepath):
|
||||
"""解析SQL文件，提取历史数据"""
|
||||
content = Path(filepath).read_text(encoding='utf-8')
|
||||
|
||||
# 解析INSERT语句
|
||||
pattern = r"INSERT INTO `fa_history` VALUES \((\d+), (\d+), (\d+), (\d+), (\d+), (\d+), (\d+), (\d+), '([^']+)'"
|
||||
matches = re.findall(pattern, content)
|
||||
|
||||
history = []
|
||||
for match in matches:
|
||||
history.append({
|
||||
'expect': int(match[0]),
|
||||
'num1': int(match[1]),
|
||||
'num2': int(match[2]),
|
||||
'num3': int(match[3]),
|
||||
'num4': int(match[4]),
|
||||
'num5': int(match[5]),
|
||||
'num6': int(match[6]),
|
||||
'num7': int(match[7]),
|
||||
'openTime': match[8]
|
||||
})
|
||||
|
||||
# 按期号排序
|
||||
history.sort(key=lambda x: x['expect'])
|
||||
return history
|
||||
|
||||
def analyze():
|
||||
"""主分析函数"""
|
||||
# 解析数据
|
||||
history = parse_sql_file(r'C:\Users\91611\Desktop\fa_history.sql')
|
||||
|
||||
print("=== 数据概览 ===")
|
||||
print(f"总期数: {len(history)}")
|
||||
print(f"期号范围: {history[0]['expect']} - {history[-1]['expect']}")
|
||||
print()
|
||||
|
||||
total_predictions = len(history) - 1
|
||||
|
||||
# ============ 维度1: 上期正码平均值与下期特码的差值分布 ============
|
||||
print("=== 维度1: 上期正码平均值与下期特码的差值分布 ===")
|
||||
|
||||
avg_diffs = []
|
||||
hit_count_avg = 0
|
||||
prediction_range = 10
|
||||
|
||||
for i in range(len(history) - 1):
|
||||
current = history[i]
|
||||
next_record = history[i + 1]
|
||||
|
||||
# 计算上期正码平均值
|
||||
avg = (current['num1'] + current['num2'] + current['num3'] +
|
||||
current['num4'] + current['num5'] + current['num6']) / 6
|
||||
|
||||
# 与下期特码的差值
|
||||
diff = next_record['num7'] - avg
|
||||
avg_diffs.append(round(diff))
|
||||
|
||||
# 预测范围：平均值±10
|
||||
predict_min = max(1, int(avg) - prediction_range)
|
||||
predict_max = min(49, int(avg) + prediction_range)
|
||||
|
||||
if predict_min <= next_record['num7'] <= predict_max:
|
||||
hit_count_avg += 1
|
||||
|
||||
# 统计差值分布
|
||||
diff_stats = defaultdict(int)
|
||||
for d in avg_diffs:
|
||||
diff_stats[d] += 1
|
||||
|
||||
print("差值分布（差值=下期特码-上期正码平均值）:")
|
||||
for diff in sorted(diff_stats.keys()):
|
||||
count = diff_stats[diff]
|
||||
percent = round(count / total_predictions * 100, 2)
|
||||
print(f" 差值 {diff}: {count}次 ({percent}%)")
|
||||
|
||||
# 差值范围分布
|
||||
print("\n差值范围分布:")
|
||||
ranges = [
|
||||
('[-40,-20]', lambda d: -40 <= d < -20),
|
||||
('[-20,-10]', lambda d: -20 <= d < -10),
|
||||
('[-10,0]', lambda d: -10 <= d < 0),
|
||||
('[0,10]', lambda d: 0 <= d < 10),
|
||||
('[10,20]', lambda d: 10 <= d < 20),
|
||||
('[20,40]', lambda d: 20 <= d <= 40)
|
||||
]
|
||||
for range_name, condition in ranges:
|
||||
count = sum(1 for d in avg_diffs if condition(d))
|
||||
percent = round(count / total_predictions * 100, 2)
|
||||
print(f" {range_name}: {count}次 ({percent}%)")
|
||||
|
||||
print(f"\n基于平均值±{prediction_range}范围的预测命中率: {round(hit_count_avg / total_predictions * 100, 2)}% ({hit_count_avg}/{total_predictions})")
|
||||
print()
|
||||
|
||||
# ============ 维度2: 上期正码范围[min,max]与下期特码的关系 ============
|
||||
print("=== 维度2: 上期正码范围[min,max]与下期特码的关系 ===")
|
||||
|
||||
in_range_count = 0
|
||||
below_range_count = 0
|
||||
above_range_count = 0
|
||||
range_width_stats = defaultdict(lambda: {'在范围内': 0, '低于范围': 0, '高于范围': 0})
|
||||
|
||||
for i in range(len(history) - 1):
|
||||
current = history[i]
|
||||
next_record = history[i + 1]
|
||||
|
||||
nums = [current['num1'], current['num2'], current['num3'],
|
||||
current['num4'], current['num5'], current['num6']]
|
||||
min_num = min(nums)
|
||||
max_num = max(nums)
|
||||
range_width = max_num - min_num
|
||||
|
||||
if min_num <= next_record['num7'] <= max_num:
|
||||
in_range_count += 1
|
||||
relation = '在范围内'
|
||||
elif next_record['num7'] < min_num:
|
||||
below_range_count += 1
|
||||
relation = '低于范围'
|
||||
else:
|
||||
above_range_count += 1
|
||||
relation = '高于范围'
|
||||
|
||||
range_width_stats[range_width][relation] += 1
|
||||
|
||||
print("下期特码位置分布:")
|
||||
print(f" 在上期正码范围内: {in_range_count}次 ({round(in_range_count / total_predictions * 100, 2)}%)")
|
||||
print(f" 低于上期正码范围: {below_range_count}次 ({round(below_range_count / total_predictions * 100, 2)}%)")
|
||||
print(f" 高于上期正码范围: {above_range_count}次 ({round(above_range_count / total_predictions * 100, 2)}%)")
|
||||
|
||||
print("\n范围宽度与特码位置关系:")
|
||||
for width in sorted(range_width_stats.keys()):
|
||||
stats = range_width_stats[width]
|
||||
width_total = sum(stats.values())
|
||||
print(f" 范围宽度{width} (共{width_total}期):")
|
||||
for relation, count in stats.items():
|
||||
percent = round(count / width_total * 100, 2)
|
||||
print(f" {relation}: {count}次 ({percent}%)")
|
||||
|
||||
avg_range_width = sum(max([h['num1'], h['num2'], h['num3'], h['num4'], h['num5'], h['num6']]) -
|
||||
min([h['num1'], h['num2'], h['num3'], h['num4'], h['num5'], h['num6']])
|
||||
for h in history[:-1]) / total_predictions
|
||||
print(f"\n平均范围宽度: {round(avg_range_width, 2)}")
|
||||
print()
|
||||
|
||||
# ============ 维度3: 上期正码与下期特码的最短距离分布 ============
|
||||
print("=== 维度3: 上期正码与下期特码的最短距离分布 ===")
|
||||
|
||||
min_distances = []
|
||||
prediction_hit_dist = 0
|
||||
|
||||
for i in range(len(history) - 1):
|
||||
current = history[i]
|
||||
next_record = history[i + 1]
|
||||
|
||||
nums = [current['num1'], current['num2'], current['num3'],
|
||||
current['num4'], current['num5'], current['num6']]
|
||||
|
||||
min_dist = min(abs(next_record['num7'] - num) for num in nums)
|
||||
min_distances.append(min_dist)
|
||||
|
||||
# 预测范围：每个正码±3
|
||||
predicted = set()
|
||||
for num in nums:
|
||||
for p in range(max(1, num - 3), min(50, num + 4)):
|
||||
predicted.add(p)
|
||||
|
||||
if next_record['num7'] in predicted:
|
||||
prediction_hit_dist += 1
|
||||
|
||||
dist_stats = defaultdict(int)
|
||||
for d in min_distances:
|
||||
dist_stats[d] += 1
|
||||
|
||||
print("最短距离分布:")
|
||||
for dist in sorted(dist_stats.keys()):
|
||||
count = dist_stats[dist]
|
||||
percent = round(count / total_predictions * 100, 2)
|
||||
print(f" 距离 {dist}: {count}次 ({percent}%)")
|
||||
|
||||
close_hit = sum(1 for d in min_distances if d <= 5)
|
||||
very_close_hit = sum(1 for d in min_distances if d <= 3)
|
||||
|
||||
print(f"\n最短距离≤5的比例: {round(close_hit / total_predictions * 100, 2)}% ({close_hit}/{total_predictions})")
|
||||
print(f"最短距离≤3的比例: {round(very_close_hit / total_predictions * 100, 2)}% ({very_close_hit}/{total_predictions})")
|
||||
print(f"基于正码±3范围预测命中率: {round(prediction_hit_dist / total_predictions * 100, 2)}% ({prediction_hit_dist}/{total_predictions})")
|
||||
|
||||
# 计算预测范围大小
|
||||
nums_sample = [history[0]['num1'], history[0]['num2'], history[0]['num3'],
|
||||
history[0]['num4'], history[0]['num5'], history[0]['num6']]
|
||||
predicted_sample = set()
|
||||
for num in nums_sample:
|
||||
for p in range(max(1, num - 3), min(50, num + 4)):
|
||||
predicted_sample.add(p)
|
||||
print(f"预测范围大小: 约{len(predicted_sample)}个数字")
|
||||
print()
|
||||
|
||||
# ============ 维度4: 上期正码和值尾数与下期特码尾数的关系 ============
|
||||
print("=== 维度4: 上期正码和值尾数与下期特码尾数的关系 ===")
|
||||
|
||||
sum_tail_relations = defaultdict(lambda: defaultdict(int))
|
||||
tail_same_count = 0
|
||||
tail_diff1_count = 0
|
||||
tail_diff2_count = 0
|
||||
tail_prediction_hit = 0
|
||||
|
||||
for i in range(len(history) - 1):
|
||||
current = history[i]
|
||||
next_record = history[i + 1]
|
||||
|
||||
sum_val = current['num1'] + current['num2'] + current['num3'] + \
|
||||
current['num4'] + current['num5'] + current['num6']
|
||||
sum_tail = get_tail(sum_val)
|
||||
next_tail = get_tail(next_record['num7'])
|
||||
|
||||
sum_tail_relations[sum_tail][next_tail] += 1
|
||||
|
||||
# 计算尾数差异（考虑环形）
|
||||
tail_diff = abs(sum_tail - next_tail)
|
||||
if tail_diff > 5:
|
||||
tail_diff = 10 - tail_diff
|
||||
|
||||
if tail_diff == 0:
|
||||
tail_same_count += 1
|
||||
elif tail_diff == 1:
|
||||
tail_diff1_count += 1
|
||||
elif tail_diff == 2:
|
||||
tail_diff2_count += 1
|
||||
|
||||
# 预测：和值尾数±2范围内的尾数
|
||||
predict_tails = {sum_tail, (sum_tail + 1) % 10, (sum_tail - 1 + 10) % 10,
|
||||
(sum_tail + 2) % 10, (sum_tail - 2 + 10) % 10}
|
||||
if next_tail in predict_tails:
|
||||
tail_prediction_hit += 1
|
||||
|
||||
print("尾数关系分布:")
|
||||
print(f" 尾数相同: {tail_same_count}次 ({round(tail_same_count / total_predictions * 100, 2)}%)")
|
||||
print(f" 尾数相差1: {tail_diff1_count}次 ({round(tail_diff1_count / total_predictions * 100, 2)}%)")
|
||||
print(f" 尾数相差2: {tail_diff2_count}次 ({round(tail_diff2_count / total_predictions * 100, 2)}%)")
|
||||
|
||||
print("\n上期和值尾数→下期特码尾数转移矩阵:")
|
||||
for sum_tail in range(10):
|
||||
if sum_tail in sum_tail_relations:
|
||||
stats = sum_tail_relations[sum_tail]
|
||||
max_tail = max(stats, key=stats.get)
|
||||
max_count = stats[max_tail]
|
||||
total = sum(stats.values())
|
||||
percent = round(max_count / total * 100, 2)
|
||||
others = [f"{t}({c})" for t, c in stats.items() if t != max_tail]
|
||||
print(f" 和值尾数{sum_tail} → 最可能尾数{max_tail} ({max_count}次, {percent}%), 其他: {', '.join(others)}")
|
||||
|
||||
print(f"\n基于和值尾数±2范围的尾数预测命中率: {round(tail_prediction_hit / total_predictions * 100, 2)}% ({tail_prediction_hit}/{total_predictions})")
|
||||
print("预测范围: 5个尾数，每个尾数对应约5个数字，共约25个数字")
|
||||
print()
|
||||
|
||||
# ============ 维度5: 上期正码覆盖区间与下期特码所在区间的关系 ============
|
||||
print("=== 维度5: 上期正码覆盖区间与下期特码所在区间的关系 ===")
|
||||
|
||||
range_cover_stats = defaultdict(lambda: defaultdict(int))
|
||||
range_transfer_stats = defaultdict(lambda: defaultdict(int))
|
||||
hit_in_covered_range = 0
|
||||
|
||||
for i in range(len(history) - 1):
|
||||
current = history[i]
|
||||
next_record = history[i + 1]
|
||||
|
||||
nums = [current['num1'], current['num2'], current['num3'],
|
||||
current['num4'], current['num5'], current['num6']]
|
||||
|
||||
covers = set(get_range(num) for num in nums)
|
||||
cover_str = '+'.join(sorted(covers))
|
||||
next_range = get_range(next_record['num7'])
|
||||
|
||||
range_cover_stats[cover_str][next_range] += 1
|
||||
range_transfer_stats[len(covers)][next_range] += 1
|
||||
|
||||
if next_range in covers:
|
||||
hit_in_covered_range += 1
|
||||
|
||||
print("上期正码覆盖区间→下期特码区间转移:")
|
||||
for cover, next_stats in sorted(range_cover_stats.items(), key=lambda x: -sum(x[1].values())):
|
||||
total_cover = sum(next_stats.values())
|
||||
print(f" {cover} (共{total_cover}期):")
|
||||
for next_range, count in next_stats.items():
|
||||
percent = round(count / total_cover * 100, 2)
|
||||
print(f" → {next_range}: {count}次 ({percent}%)")
|
||||
|
||||
print("\n上期正码覆盖区间数量与下期特码分布:")
|
||||
for cover_count, stats in sorted(range_transfer_stats.items()):
|
||||
total_cover = sum(stats.values())
|
||||
print(f" 覆盖{cover_count}个区间 (共{total_cover}期):")
|
||||
for range_name, count in stats.items():
|
||||
percent = round(count / total_cover * 100, 2)
|
||||
print(f" {range_name}: {count}次 ({percent}%)")
|
||||
|
||||
print(f"\n下期特码在上期正码覆盖区间内的比例: {round(hit_in_covered_range / total_predictions * 100, 2)}% ({hit_in_covered_range}/{total_predictions})")
|
||||
print()
|
||||
|
||||
# ============ 维度6: 上期正码波色分布与下期特码波色的关系 ============
|
||||
print("=== 维度6: 上期正码波色分布与下期特码波色的关系 ===")
|
||||
|
||||
color_distribution_stats = defaultdict(lambda: defaultdict(int))
|
||||
dominant_color_stats = defaultdict(lambda: defaultdict(int))
|
||||
dominant_prediction_hit = 0
|
||||
expanded_color_prediction_hit = 0
|
||||
|
||||
for i in range(len(history) - 1):
|
||||
current = history[i]
|
||||
next_record = history[i + 1]
|
||||
|
||||
nums = [current['num1'], current['num2'], current['num3'],
|
||||
current['num4'], current['num5'], current['num6']]
|
||||
|
||||
colors = defaultdict(int)
|
||||
for num in nums:
|
||||
colors[COLOR_MAP[num]] += 1
|
||||
|
||||
color_str = f"红{colors['红']}蓝{colors['蓝']}绿{colors['绿']}"
|
||||
next_color = COLOR_MAP[next_record['num7']]
|
||||
|
||||
color_distribution_stats[color_str][next_color] += 1
|
||||
|
||||
# 主导波色
|
||||
dominant_color = max(colors, key=colors.get)
|
||||
dominant_color_stats[dominant_color][next_color] += 1
|
||||
|
||||
if dominant_color == next_color:
|
||||
dominant_prediction_hit += 1
|
||||
|
||||
# 扩展到两种波色
|
||||
top2_colors = sorted(colors, key=colors.get, reverse=True)[:2]
|
||||
if next_color in top2_colors:
|
||||
expanded_color_prediction_hit += 1
|
||||
|
||||
print("上期正码波色分布→下期特码波色转移 (出现5次以上的):")
|
||||
sorted_color_dist = sorted(color_distribution_stats.items(),
|
||||
key=lambda x: -sum(x[1].values()))
|
||||
for dist, next_stats in sorted_color_dist:
|
||||
total_dist = sum(next_stats.values())
|
||||
if total_dist >= 5:
|
||||
print(f" {dist} (共{total_dist}期):")
|
||||
for next_color, count in next_stats.items():
|
||||
percent = round(count / total_dist * 100, 2)
|
||||
print(f" → {next_color}: {count}次 ({percent}%)")
|
||||
|
||||
print("\n上期主导波色→下期特码波色转移:")
|
||||
for dominant, next_stats in dominant_color_stats.items():
|
||||
total_dom = sum(next_stats.values())
|
||||
print(f" 主导{dominant} (共{total_dom}期):")
|
||||
for next_color, count in next_stats.items():
|
||||
percent = round(count / total_dom * 100, 2)
|
||||
print(f" → {next_color}: {count}次 ({percent}%)")
|
||||
|
||||
print(f"\n主导波色预测命中率: {round(dominant_prediction_hit / total_predictions * 100, 2)}% ({dominant_prediction_hit}/{total_predictions})")
|
||||
print(f"扩展到两种主导波色预测命中率: {round(expanded_color_prediction_hit / total_predictions * 100, 2)}% ({expanded_color_prediction_hit}/{total_predictions})")
|
||||
print()
|
||||
|
||||
# ============ 维度7: 上期特码与下期特码的转移关系 ============
|
||||
print("=== 维度7: 上期特码与下期特码的转移关系（马尔可夫分析） ===")
|
||||
|
||||
special_transfer = defaultdict(lambda: defaultdict(int))
|
||||
special_range_transfer = defaultdict(lambda: defaultdict(int))
|
||||
special_range_prediction_hit = 0
|
||||
|
||||
for i in range(len(history) - 1):
|
||||
current = history[i]
|
||||
next_record = history[i + 1]
|
||||
|
||||
current_special = current['num7']
|
||||
next_special = next_record['num7']
|
||||
|
||||
special_transfer[current_special][next_special] += 1
|
||||
|
||||
current_range = get_range(current_special)
|
||||
next_range = get_range(next_special)
|
||||
special_range_transfer[current_range][next_range] += 1
|
||||
|
||||
print("特码区间转移矩阵:")
|
||||
for from_range, to_stats in special_range_transfer.items():
|
||||
total_from = sum(to_stats.values())
|
||||
print(f" {from_range} → :")
|
||||
for to_range, count in to_stats.items():
|
||||
percent = round(count / total_from * 100, 2)
|
||||
print(f" {to_range}: {count}次 ({percent}%)")
|
||||
|
||||
# 高频特码转移
|
||||
print("\n高频特码转移（出现2次以上）:")
|
||||
for from_num, to_stats in special_transfer.items():
|
||||
for to_num, count in to_stats.items():
|
||||
if count >= 2:
|
||||
print(f" 特码{from_num} → 特码{to_num}: {count}次")
|
||||
|
||||
# 基于特码区间预测
|
||||
for i in range(len(history) - 1):
|
||||
current = history[i]
|
||||
next_record = history[i + 1]
|
||||
|
||||
current_range = get_range(current['num7'])
|
||||
transfer_stats = special_range_transfer[current_range]
|
||||
top_ranges = sorted(transfer_stats, key=transfer_stats.get, reverse=True)[:2]
|
||||
|
||||
next_range = get_range(next_record['num7'])
|
||||
if next_range in top_ranges:
|
||||
special_range_prediction_hit += 1
|
||||
|
||||
print(f"\n基于特码区间转移预测（前2区间）命中率: {round(special_range_prediction_hit / total_predictions * 100, 2)}% ({special_range_prediction_hit}/{total_predictions})")
|
||||
print()
|
||||
|
||||
# ============ 综合分析 ============
|
||||
print("=== 综合分析：寻找40%以上命中率的规律 ===")
|
||||
print()
|
||||
|
||||
combined_hits = {
|
||||
'平均值±10范围': hit_count_avg,
|
||||
'正码±3范围': prediction_hit_dist,
|
||||
'和值尾数±2尾数范围': tail_prediction_hit,
|
||||
'覆盖区间预测': hit_in_covered_range,
|
||||
'主导波色预测': dominant_prediction_hit,
|
||||
'双波色预测': expanded_color_prediction_hit,
|
||||
'特码区间转移': special_range_prediction_hit
|
||||
}
|
||||
|
||||
print("各维度预测命中率汇总:")
|
||||
for name, hit in combined_hits.items():
|
||||
percent = round(hit / total_predictions * 100, 2)
|
||||
status = '【达标】' if percent >= 40 else ''
|
||||
print(f" {name}: {percent}% ({hit}/{total_predictions}) {status}")
|
||||
|
||||
# 组合预测测试
|
||||
print("\n组合预测测试:")
|
||||
|
||||
combo_hits = 0
|
||||
combo_plus_hits = 0
|
||||
|
||||
for i in range(len(history) - 1):
|
||||
current = history[i]
|
||||
next_record = history[i + 1]
|
||||
|
||||
nums = [current['num1'], current['num2'], current['num3'],
|
||||
current['num4'], current['num5'], current['num6']]
|
||||
|
||||
# 方法1：平均值±15范围
|
||||
avg = sum(nums) / 6
|
||||
avg_range = set(range(max(1, int(avg) - 15), min(50, int(avg) + 16)))
|
||||
|
||||
# 方法2：正码±5范围
|
||||
num_range = set()
|
||||
for num in nums:
|
||||
for p in range(max(1, num - 5), min(50, num + 6)):
|
||||
num_range.add(p)
|
||||
|
||||
# 方法3：和值尾数±3范围
|
||||
sum_val = sum(nums)
|
||||
sum_tail = get_tail(sum_val)
|
||||
tail_range = set()
|
||||
for t in range(sum_tail - 3, sum_tail + 4):
|
||||
actual_tail = (t + 10) % 10
|
||||
for n in range(1, 50):
|
||||
if get_tail(n) == actual_tail:
|
||||
tail_range.add(n)
|
||||
|
||||
# 组合1
|
||||
if next_record['num7'] in avg_range or next_record['num7'] in num_range:
|
||||
combo_hits += 1
|
||||
|
||||
# 组合2
|
||||
if next_record['num7'] in avg_range or next_record['num7'] in num_range or next_record['num7'] in tail_range:
|
||||
combo_plus_hits += 1
|
||||
|
||||
print(f"组合1（平均值±15 OR 正码±5）命中率: {round(combo_hits / total_predictions * 100, 2)}% ({combo_hits}/{total_predictions})")
|
||||
print(f"组合2（平均值±15 OR 正码±5 OR 尾数±3）命中率: {round(combo_plus_hits / total_predictions * 100, 2)}% ({combo_plus_hits}/{total_predictions})")
|
||||
|
||||
# 波色+区间组合
|
||||
print("\n波色+区间组合预测:")
|
||||
|
||||
color_range_combo_hit = 0
|
||||
color_range_combo2_hit = 0
|
||||
last_predict_count = 0
|
||||
last_predict_count2 = 0
|
||||
|
||||
for i in range(len(history) - 1):
|
||||
current = history[i]
|
||||
next_record = history[i + 1]
|
||||
|
||||
nums = [current['num1'], current['num2'], current['num3'],
|
||||
current['num4'], current['num5'], current['num6']]
|
||||
|
||||
colors = defaultdict(int)
|
||||
ranges = defaultdict(int)
|
||||
for num in nums:
|
||||
colors[COLOR_MAP[num]] += 1
|
||||
ranges[get_range(num)] += 1
|
||||
|
||||
# 前1波色+前1区间
|
||||
top_color = max(colors, key=colors.get)
|
||||
top_range = max(ranges, key=ranges.get)
|
||||
|
||||
predict_nums = {n for n in range(1, 50) if COLOR_MAP[n] == top_color and get_range(n) == top_range}
|
||||
|
||||
if next_record['num7'] in predict_nums:
|
||||
color_range_combo_hit += 1
|
||||
last_predict_count = len(predict_nums)
|
||||
|
||||
# 前2波色+前2区间
|
||||
top2_colors = sorted(colors, key=colors.get, reverse=True)[:2]
|
||||
top2_ranges = sorted(ranges, key=ranges.get, reverse=True)[:2]
|
||||
|
||||
predict_nums2 = {n for n in range(1, 50)
|
||||
if COLOR_MAP[n] in top2_colors and get_range(n) in top2_ranges}
|
||||
|
||||
if next_record['num7'] in predict_nums2:
|
||||
color_range_combo2_hit += 1
|
||||
last_predict_count2 = len(predict_nums2)
|
||||
|
||||
print(f"波色+区间交集预测命中率: {round(color_range_combo_hit / total_predictions * 100, 2)}% ({color_range_combo_hit}/{total_predictions})")
|
||||
print(f"预测范围大小: {last_predict_count}个数字")
|
||||
print(f"前2波色+前2区间交集预测命中率: {round(color_range_combo2_hit / total_predictions * 100, 2)}% ({color_range_combo2_hit}/{total_predictions})")
|
||||
print(f"预测范围大小: {last_predict_count2}个数字")
|
||||
|
||||
print()
|
||||
|
||||
# ============ 总结 ============
|
||||
print("=== 总结：达到40%以上命中率的规律 ===")
|
||||
print()
|
||||
|
||||
high_hit_rules = []
|
||||
for name, hit in combined_hits.items():
|
||||
percent = round(hit / total_predictions * 100, 2)
|
||||
if percent >= 40:
|
||||
high_hit_rules.append((name, percent, hit, total_predictions))
|
||||
|
||||
if high_hit_rules:
|
||||
for name, percent, hit, total in high_hit_rules:
|
||||
print(f"【{name}】命中率: {percent}% ({hit}/{total})")
|
||||
else:
|
||||
print("单维度分析中没有达到40%以上命中率的规律")
|
||||
|
||||
print("\n组合规律命中率:")
|
||||
print(f"组合1（平均值±15 OR 正码±5）: {round(combo_hits / total_predictions * 100, 2)}%")
|
||||
print(f"组合2（平均值±15 OR 正码±5 OR 尾数±3）: {round(combo_plus_hits / total_predictions * 100, 2)}%")
|
||||
print(f"前2波色+前2区间交集: {round(color_range_combo2_hit / total_predictions * 100, 2)}%")
|
||||
|
||||
print("\n分析完成！")
|
||||
|
||||
if __name__ == '__main__':
|
||||
analyze()
|
||||
Reference in New Issue
Block a user