PC蛋蛋算法预测公式与高频特征计算模型

import numpy as np

# PC蛋蛋算法预测 - 高频特征提取与正态回归推算核心模块
class DandandanFeatureExtractor:
    def __init__(self, window_size=50):
        self.window_size = window_size

    def extract_features(self, history_draws):
        sums = [sum(draw['balls']) for draw in history_draws[-self.window_size:]]
        mean_val = np.mean(sums)
        std_val = np.std(sums)
        
        # 计算当前和值偏离中心期望 (13.5) 的距离
        deviation = mean_val - 13.5
        
        # 极值判定 (0-5 极小 / 22-27 极大)
        latest_sum = sums[-1]
        is_extreme = latest_sum <= 5 or latest_sum >= 22

        return {
            "latest_sum": latest_sum,
            "deviation": round(float(deviation), 3),
            "is_extreme": is_extreme,
            "robot_action": "PAUSE_HEDGE" if is_extreme else "AUTO_RECONCILE"
        }