{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "cell-0",
   "metadata": {},
   "source": [
    "# A 股酒类板块 — 分红股息率全景对比\n",
    "\n",
    "> 核心问题：在当前股价和分红水平下，买哪只酒类股票**总回报（股价增值 + 股息收益）最大化**？\n",
    "\n",
    "覆盖范围：白酒 20 只 + 啤酒 8 只 + 红黄酒 9 只 = 共 37 只"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cell-env",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ 酒类分红对比分析环境就绪\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "from pathlib import Path\n",
    "\n",
    "def _find_project_root() -> Path:\n",
    "    for p in [Path.cwd(), *Path.cwd().parents]:\n",
    "        if (p / \"src\" / \"backtest\").is_dir() and (p / \"notebooks\").is_dir():\n",
    "            return p\n",
    "    raise RuntimeError(\"找不到项目根目录\")\n",
    "\n",
    "project_root = _find_project_root()\n",
    "if str(project_root) not in sys.path:\n",
    "    sys.path.insert(0, str(project_root))\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.ticker as mticker\n",
    "\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.float_format', lambda x: f'{x:.2f}')\n",
    "pd.set_option('display.max_rows', 50)\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['Arial Unicode MS', 'SimHei', 'DejaVu Sans']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "from notebooks.utils import query, get_stock\n",
    "from src.data.manager import DataManager\n",
    "\n",
    "print(\"✅ 酒类分红对比分析环境就绪\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-section1",
   "metadata": {},
   "source": [
    "---\n",
    "## Part 1: 酒类股票池 — 股息率全景排名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cell-pool",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "酒类股票池: 共 34 只（含ST），正常 31 只\n",
      "\n",
      "=== 股息率排名 TOP 15 ===\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>代码</th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>最新收盘价</th>\n",
       "      <th>股息率_TTM(%)</th>\n",
       "      <th>PE_TTM</th>\n",
       "      <th>总市值(亿)</th>\n",
       "      <th>估算每股分红(元)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000858.SZ</td>\n",
       "      <td>五粮液</td>\n",
       "      <td>白酒</td>\n",
       "      <td>73.69</td>\n",
       "      <td>7.80</td>\n",
       "      <td>22.70</td>\n",
       "      <td>2860.00</td>\n",
       "      <td>5.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>000568.SZ</td>\n",
       "      <td>泸州老窖</td>\n",
       "      <td>白酒</td>\n",
       "      <td>78.18</td>\n",
       "      <td>7.61</td>\n",
       "      <td>11.60</td>\n",
       "      <td>1151.00</td>\n",
       "      <td>5.95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>600132.SH</td>\n",
       "      <td>重庆啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>41.75</td>\n",
       "      <td>5.99</td>\n",
       "      <td>16.90</td>\n",
       "      <td>202.00</td>\n",
       "      <td>2.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>603369.SH</td>\n",
       "      <td>今世缘</td>\n",
       "      <td>白酒</td>\n",
       "      <td>24.85</td>\n",
       "      <td>4.83</td>\n",
       "      <td>13.20</td>\n",
       "      <td>310.00</td>\n",
       "      <td>1.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>603198.SH</td>\n",
       "      <td>迎驾贡酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>32.31</td>\n",
       "      <td>4.64</td>\n",
       "      <td>13.00</td>\n",
       "      <td>258.00</td>\n",
       "      <td>1.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>600197.SH</td>\n",
       "      <td>伊力特</td>\n",
       "      <td>白酒</td>\n",
       "      <td>9.93</td>\n",
       "      <td>4.53</td>\n",
       "      <td>26.50</td>\n",
       "      <td>47.00</td>\n",
       "      <td>0.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>600519.SH</td>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>白酒</td>\n",
       "      <td>1204.98</td>\n",
       "      <td>4.32</td>\n",
       "      <td>18.20</td>\n",
       "      <td>15063.00</td>\n",
       "      <td>52.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>600600.SH</td>\n",
       "      <td>青岛啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>51.59</td>\n",
       "      <td>4.26</td>\n",
       "      <td>15.00</td>\n",
       "      <td>704.00</td>\n",
       "      <td>2.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>002304.SZ</td>\n",
       "      <td>洋河股份</td>\n",
       "      <td>白酒</td>\n",
       "      <td>38.65</td>\n",
       "      <td>3.80</td>\n",
       "      <td>57.30</td>\n",
       "      <td>582.00</td>\n",
       "      <td>1.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>600779.SH</td>\n",
       "      <td>水井坊</td>\n",
       "      <td>白酒</td>\n",
       "      <td>27.60</td>\n",
       "      <td>3.49</td>\n",
       "      <td>34.80</td>\n",
       "      <td>135.00</td>\n",
       "      <td>0.96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>603919.SH</td>\n",
       "      <td>金徽酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>14.63</td>\n",
       "      <td>3.39</td>\n",
       "      <td>22.80</td>\n",
       "      <td>74.00</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>600809.SH</td>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>111.74</td>\n",
       "      <td>3.22</td>\n",
       "      <td>12.40</td>\n",
       "      <td>1363.00</td>\n",
       "      <td>3.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>001338.SZ</td>\n",
       "      <td>永顺泰</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>8.59</td>\n",
       "      <td>2.79</td>\n",
       "      <td>21.70</td>\n",
       "      <td>43.00</td>\n",
       "      <td>0.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>603589.SH</td>\n",
       "      <td>口子窖</td>\n",
       "      <td>白酒</td>\n",
       "      <td>18.64</td>\n",
       "      <td>2.68</td>\n",
       "      <td>28.50</td>\n",
       "      <td>111.00</td>\n",
       "      <td>0.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>000729.SZ</td>\n",
       "      <td>燕京啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>10.85</td>\n",
       "      <td>2.67</td>\n",
       "      <td>17.20</td>\n",
       "      <td>306.00</td>\n",
       "      <td>0.29</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           代码    名称  行业   最新收盘价  股息率_TTM(%)  PE_TTM   总市值(亿)  估算每股分红(元)\n",
       "0   000858.SZ   五粮液  白酒   73.69        7.80   22.70  2860.00       5.75\n",
       "1   000568.SZ  泸州老窖  白酒   78.18        7.61   11.60  1151.00       5.95\n",
       "2   600132.SH  重庆啤酒  啤酒   41.75        5.99   16.90   202.00       2.50\n",
       "3   603369.SH   今世缘  白酒   24.85        4.83   13.20   310.00       1.20\n",
       "4   603198.SH  迎驾贡酒  白酒   32.31        4.64   13.00   258.00       1.50\n",
       "5   600197.SH   伊力特  白酒    9.93        4.53   26.50    47.00       0.45\n",
       "6   600519.SH  贵州茅台  白酒 1204.98        4.32   18.20 15063.00      52.02\n",
       "7   600600.SH  青岛啤酒  啤酒   51.59        4.26   15.00   704.00       2.20\n",
       "8   002304.SZ  洋河股份  白酒   38.65        3.80   57.30   582.00       1.47\n",
       "9   600779.SH   水井坊  白酒   27.60        3.49   34.80   135.00       0.96\n",
       "10  603919.SH   金徽酒  白酒   14.63        3.39   22.80    74.00       0.50\n",
       "11  600809.SH  山西汾酒  白酒  111.74        3.22   12.40  1363.00       3.60\n",
       "12  001338.SZ   永顺泰  啤酒    8.59        2.79   21.70    43.00       0.24\n",
       "13  603589.SH   口子窖  白酒   18.64        2.68   28.50   111.00       0.50\n",
       "14  000729.SZ  燕京啤酒  啤酒   10.85        2.67   17.20   306.00       0.29"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "=== 股息率排名 BOTTOM 10 ===\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>代码</th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>最新收盘价</th>\n",
       "      <th>股息率_TTM(%)</th>\n",
       "      <th>PE_TTM</th>\n",
       "      <th>总市值(亿)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>000860.SZ</td>\n",
       "      <td>顺鑫农业</td>\n",
       "      <td>白酒</td>\n",
       "      <td>10.45</td>\n",
       "      <td>1.44</td>\n",
       "      <td>NaN</td>\n",
       "      <td>78.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>600616.SH</td>\n",
       "      <td>金枫酒业</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>3.88</td>\n",
       "      <td>1.29</td>\n",
       "      <td>6310.60</td>\n",
       "      <td>26.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000596.SZ</td>\n",
       "      <td>古井贡酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>79.79</td>\n",
       "      <td>1.25</td>\n",
       "      <td>14.90</td>\n",
       "      <td>422.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>600059.SH</td>\n",
       "      <td>古越龙山</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>7.65</td>\n",
       "      <td>1.15</td>\n",
       "      <td>30.90</td>\n",
       "      <td>70.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>600573.SH</td>\n",
       "      <td>惠泉啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>8.97</td>\n",
       "      <td>1.11</td>\n",
       "      <td>27.40</td>\n",
       "      <td>22.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>600702.SH</td>\n",
       "      <td>舍得酒业</td>\n",
       "      <td>白酒</td>\n",
       "      <td>34.59</td>\n",
       "      <td>0.89</td>\n",
       "      <td>105.90</td>\n",
       "      <td>115.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>600543.SH</td>\n",
       "      <td>莫高股份</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>7.27</td>\n",
       "      <td>0.36</td>\n",
       "      <td>714.50</td>\n",
       "      <td>23.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>600199.SH</td>\n",
       "      <td>金种子酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>6.74</td>\n",
       "      <td>0.22</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>603779.SH</td>\n",
       "      <td>威龙股份</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>7.68</td>\n",
       "      <td>0.12</td>\n",
       "      <td>NaN</td>\n",
       "      <td>26.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>002646.SZ</td>\n",
       "      <td>天佑德酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>6.45</td>\n",
       "      <td>0.08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          代码    名称   行业  最新收盘价  股息率_TTM(%)  PE_TTM  总市值(亿)\n",
       "0  000860.SZ  顺鑫农业   白酒  10.45        1.44     NaN   78.00\n",
       "1  600616.SH  金枫酒业  红黄酒   3.88        1.29 6310.60   26.00\n",
       "2  000596.SZ  古井贡酒   白酒  79.79        1.25   14.90  422.00\n",
       "3  600059.SH  古越龙山  红黄酒   7.65        1.15   30.90   70.00\n",
       "4  600573.SH  惠泉啤酒   啤酒   8.97        1.11   27.40   22.00\n",
       "5  600702.SH  舍得酒业   白酒  34.59        0.89  105.90  115.00\n",
       "6  600543.SH  莫高股份  红黄酒   7.27        0.36  714.50   23.00\n",
       "7  600199.SH  金种子酒   白酒   6.74        0.22     NaN   44.00\n",
       "8  603779.SH  威龙股份  红黄酒   7.68        0.12     NaN   26.00\n",
       "9  002646.SZ  天佑德酒   白酒   6.45        0.08     NaN   31.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 酒类股票池（白酒 + 啤酒 + 红黄酒）\n",
    "dm = DataManager(read_only=True)\n",
    "alcohol_stocks = dm.storage.conn.execute(\"\"\"\n",
    "    SELECT ts_code, name, industry, list_date\n",
    "    FROM stock_basic \n",
    "    WHERE industry IN ('白酒', '啤酒', '红黄酒')\n",
    "    ORDER BY industry, name\n",
    "\"\"\").fetchall()\n",
    "\n",
    "# 获取每只股票最新的股息率和估值数据\n",
    "stock_data = []\n",
    "for ts_code, name, industry, list_date in alcohol_stocks:\n",
    "    row = dm.storage.conn.execute(\"\"\"\n",
    "        SELECT trade_date, close, dv_ttm, dv_ratio, pe_ttm, pb, total_mv\n",
    "        FROM daily_basic \n",
    "        WHERE ts_code = ? AND dv_ttm IS NOT NULL AND dv_ttm > 0\n",
    "        ORDER BY trade_date DESC LIMIT 1\n",
    "    \"\"\", [ts_code]).fetchone()\n",
    "    \n",
    "    if row:\n",
    "        trade_date, close, dv_ttm, dv_ratio, pe_ttm, pb, total_mv = row\n",
    "        # 计算每股分红（估算）\n",
    "        est_dps = close * dv_ttm / 100 if dv_ttm else 0\n",
    "        stock_data.append({\n",
    "            '代码': ts_code,\n",
    "            '名称': name,\n",
    "            '行业': industry,\n",
    "            '上市日期': str(list_date),\n",
    "            '最新收盘价': round(close, 2),\n",
    "            '股息率_TTM(%)': round(dv_ttm, 2),\n",
    "            '股息率(%)': round(dv_ratio, 2) if dv_ratio else None,\n",
    "            'PE_TTM': round(pe_ttm, 1) if pe_ttm else None,\n",
    "            'PB': round(pb, 2) if pb else None,\n",
    "            '总市值(亿)': round(total_mv / 1e4, 0) if total_mv else None,\n",
    "            '估算每股分红(元)': round(est_dps, 2),\n",
    "            '数据日期': str(trade_date),\n",
    "        })\n",
    "\n",
    "dm.close()\n",
    "\n",
    "df = pd.DataFrame(stock_data).sort_values('股息率_TTM(%)', ascending=False)\n",
    "\n",
    "# 排除 ST 和异常数据\n",
    "df_normal = df[~df['名称'].str.contains('ST|\\\\*ST')].copy()\n",
    "df_normal = df_normal[df_normal['股息率_TTM(%)'] < 15]  # 排除极端异常值\n",
    "\n",
    "print(f\"酒类股票池: 共 {len(df)} 只（含ST），正常 {len(df_normal)} 只\")\n",
    "print(f\"\\n=== 股息率排名 TOP 15 ===\")\n",
    "display(df_normal.head(15)[['代码', '名称', '行业', '最新收盘价', '股息率_TTM(%)', 'PE_TTM', '总市值(亿)', '估算每股分红(元)']].reset_index(drop=True))\n",
    "\n",
    "print(f\"\\n=== 股息率排名 BOTTOM 10 ===\")\n",
    "display(df_normal.tail(10)[['代码', '名称', '行业', '最新收盘价', '股息率_TTM(%)', 'PE_TTM', '总市值(亿)']].reset_index(drop=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cell-rank-chart",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 股息率可视化排名\n",
    "top20 = df_normal.head(20).copy()\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(18, 10))\n",
    "\n",
    "# 图1: 股息率横向柱状图\n",
    "colors = ['#C62828' if ind == '白酒' else '#1565C0' if ind == '啤酒' else '#F9A825' \n",
    "          for ind in top20['行业']]\n",
    "bars = axes[0].barh(range(len(top20)), top20['股息率_TTM(%)'], color=colors, edgecolor='white')\n",
    "axes[0].set_yticks(range(len(top20)))\n",
    "axes[0].set_yticklabels([f\"{n} ({c})\" for n, c in zip(top20['名称'], top20['代码'])], fontsize=9)\n",
    "axes[0].invert_yaxis()\n",
    "axes[0].set_xlabel('股息率 TTM (%)', fontsize=12)\n",
    "axes[0].set_title('酒类股票股息率排名 TOP 20', fontsize=14, fontweight='bold')\n",
    "axes[0].grid(True, alpha=0.3, axis='x')\n",
    "for i, v in enumerate(top20['股息率_TTM(%)'].values):\n",
    "    axes[0].text(v + 0.1, i, f'{v:.2f}%', va='center', fontsize=9, fontweight='bold')\n",
    "\n",
    "# 图2: 股息率 vs PE 气泡图\n",
    "valid_pe = top20[top20['PE_TTM'].notna() & (top20['PE_TTM'] > 0) & (top20['PE_TTM'] < 100)]\n",
    "sizes = top20.loc[valid_pe.index, '总市值(亿)'].fillna(100).values\n",
    "scatter = axes[1].scatter(valid_pe['PE_TTM'], valid_pe['股息率_TTM(%)'], \n",
    "                         s=sizes / 5, alpha=0.6, c='#C62828')\n",
    "for _, row in valid_pe.iterrows():\n",
    "    axes[1].annotate(row['名称'], (row['PE_TTM'], row['股息率_TTM(%)']),\n",
    "                    xytext=(5, 5), textcoords='offset points', fontsize=9)\n",
    "axes[1].set_xlabel('PE(TTM)', fontsize=12)\n",
    "axes[1].set_ylabel('股息率 TTM (%)', fontsize=12)\n",
    "axes[1].set_title('股息率 vs PE（气泡=市值）', fontsize=14, fontweight='bold')\n",
    "axes[1].axhline(y=top20['股息率_TTM(%)'].median(), color='gray', linestyle=':', alpha=0.4, label=f'中位股息率')\n",
    "axes[1].legend(fontsize=9)\n",
    "axes[1].grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-section2",
   "metadata": {},
   "source": [
    "---\n",
    "## Part 2: 历史股息率趋势 — 谁的分红在增长？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "cell-dv-trend",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x1400 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 选取股息率前8的股票，查看历史股息率变化\n",
    "top_codes = df_normal.head(8)['代码'].tolist()\n",
    "# 加入茅台作为基准\n",
    "if '600519.SH' not in top_codes:\n",
    "    top_codes.append('600519.SH')\n",
    "\n",
    "dm = DataManager(read_only=True)\n",
    "\n",
    "fig, axes = plt.subplots(3, 3, figsize=(18, 14))\n",
    "axes = axes.flatten()\n",
    "\n",
    "for i, code in enumerate(top_codes[:9]):\n",
    "    name = df[df['代码'] == code]['名称'].values[0]\n",
    "    industry = df[df['代码'] == code]['行业'].values[0]\n",
    "    \n",
    "    dv_hist = dm.storage.conn.execute(\"\"\"\n",
    "        SELECT trade_date, dv_ttm, close\n",
    "        FROM daily_basic \n",
    "        WHERE ts_code = ? AND dv_ttm IS NOT NULL AND dv_ttm > 0\n",
    "        ORDER BY trade_date\n",
    "    \"\"\", [code]).df()\n",
    "    \n",
    "    if len(dv_hist) > 50:\n",
    "        dv_hist['trade_date'] = pd.to_datetime(dv_hist['trade_date'])\n",
    "        \n",
    "        color = '#C62828' if industry == '白酒' else '#1565C0' if industry == '啤酒' else '#F9A825'\n",
    "        axes[i].fill_between(dv_hist['trade_date'], 0, dv_hist['dv_ttm'], alpha=0.2, color=color)\n",
    "        axes[i].plot(dv_hist['trade_date'], dv_hist['dv_ttm'], color=color, linewidth=0.8)\n",
    "        axes[i].axhline(y=dv_hist['dv_ttm'].median(), color='gray', linestyle=':', alpha=0.5, \n",
    "                       label=f\"中位数={dv_hist['dv_ttm'].median():.2f}%\")\n",
    "        axes[i].set_title(f'{name} ({code}) - {industry}', fontsize=11, fontweight='bold')\n",
    "        axes[i].set_ylabel('股息率 TTM (%)')\n",
    "        axes[i].legend(fontsize=8)\n",
    "        axes[i].grid(True, alpha=0.3)\n",
    "    else:\n",
    "        axes[i].text(0.5, 0.5, f'{name}\\n数据不足', ha='center', va='center', transform=axes[i].transAxes)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.suptitle('酒类股票历史股息率 TTM 走势', fontsize=16, fontweight='bold', y=1.02)\n",
    "plt.show()\n",
    "\n",
    "dm.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cell-dv-stats",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== 股息率稳定性与趋势分析 ===\n",
      "\n",
      "================================================================================\n",
      "📌 高股息 + 上升趋势（最佳分红增长型）:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>当前股息率</th>\n",
       "      <th>历史均值</th>\n",
       "      <th>近3年均值</th>\n",
       "      <th>当前分位(%)</th>\n",
       "      <th>趋势</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>五粮液</td>\n",
       "      <td>白酒</td>\n",
       "      <td>7.80</td>\n",
       "      <td>2.28</td>\n",
       "      <td>4.06</td>\n",
       "      <td>100.00</td>\n",
       "      <td>↑上升</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>泸州老窖</td>\n",
       "      <td>白酒</td>\n",
       "      <td>7.61</td>\n",
       "      <td>3.22</td>\n",
       "      <td>4.00</td>\n",
       "      <td>93.00</td>\n",
       "      <td>↑上升</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>重庆啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>5.99</td>\n",
       "      <td>2.15</td>\n",
       "      <td>4.59</td>\n",
       "      <td>97.00</td>\n",
       "      <td>↑上升</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>今世缘</td>\n",
       "      <td>白酒</td>\n",
       "      <td>4.83</td>\n",
       "      <td>1.50</td>\n",
       "      <td>2.40</td>\n",
       "      <td>99.00</td>\n",
       "      <td>↑上升</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>伊力特</td>\n",
       "      <td>白酒</td>\n",
       "      <td>4.53</td>\n",
       "      <td>1.95</td>\n",
       "      <td>2.52</td>\n",
       "      <td>100.00</td>\n",
       "      <td>↑上升</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>白酒</td>\n",
       "      <td>4.32</td>\n",
       "      <td>1.95</td>\n",
       "      <td>3.30</td>\n",
       "      <td>97.00</td>\n",
       "      <td>↑上升</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>青岛啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>4.26</td>\n",
       "      <td>1.27</td>\n",
       "      <td>2.74</td>\n",
       "      <td>100.00</td>\n",
       "      <td>↑上升</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>洋河股份</td>\n",
       "      <td>白酒</td>\n",
       "      <td>3.80</td>\n",
       "      <td>2.73</td>\n",
       "      <td>5.45</td>\n",
       "      <td>80.00</td>\n",
       "      <td>↑上升</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>水井坊</td>\n",
       "      <td>白酒</td>\n",
       "      <td>3.49</td>\n",
       "      <td>1.65</td>\n",
       "      <td>1.98</td>\n",
       "      <td>99.00</td>\n",
       "      <td>↑上升</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>金徽酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>3.39</td>\n",
       "      <td>1.44</td>\n",
       "      <td>2.06</td>\n",
       "      <td>97.00</td>\n",
       "      <td>↑上升</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称  行业  当前股息率  历史均值  近3年均值  当前分位(%)   趋势\n",
       "0    五粮液  白酒   7.80  2.28   4.06   100.00  ↑上升\n",
       "1   泸州老窖  白酒   7.61  3.22   4.00    93.00  ↑上升\n",
       "2   重庆啤酒  啤酒   5.99  2.15   4.59    97.00  ↑上升\n",
       "3    今世缘  白酒   4.83  1.50   2.40    99.00  ↑上升\n",
       "5    伊力特  白酒   4.53  1.95   2.52   100.00  ↑上升\n",
       "6   贵州茅台  白酒   4.32  1.95   3.30    97.00  ↑上升\n",
       "7   青岛啤酒  啤酒   4.26  1.27   2.74   100.00  ↑上升\n",
       "8   洋河股份  白酒   3.80  2.73   5.45    80.00  ↑上升\n",
       "9    水井坊  白酒   3.49  1.65   1.98    99.00  ↑上升\n",
       "10   金徽酒  白酒   3.39  1.44   2.06    97.00  ↑上升"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "📌 高股息 + 低波动（最稳定分红型）:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>当前股息率</th>\n",
       "      <th>标准差</th>\n",
       "      <th>最低</th>\n",
       "      <th>最高</th>\n",
       "      <th>当前分位(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>伊力特</td>\n",
       "      <td>白酒</td>\n",
       "      <td>4.53</td>\n",
       "      <td>0.67</td>\n",
       "      <td>0.84</td>\n",
       "      <td>4.78</td>\n",
       "      <td>100.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    名称  行业  当前股息率  标准差   最低   最高  当前分位(%)\n",
       "5  伊力特  白酒   4.53 0.67 0.84 4.78   100.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 股息率统计：均值、稳定性、趋势\n",
    "dm = DataManager(read_only=True)\n",
    "dv_stats = []\n",
    "for _, row in df_normal.iterrows():\n",
    "    code = row['代码']\n",
    "    name = row['名称']\n",
    "    industry = row['行业']\n",
    "    \n",
    "    dv_hist = dm.storage.conn.execute(\"\"\"\n",
    "        SELECT dv_ttm FROM daily_basic \n",
    "        WHERE ts_code = ? AND dv_ttm IS NOT NULL AND dv_ttm > 0\n",
    "        ORDER BY trade_date\n",
    "    \"\"\", [code]).df()\n",
    "    \n",
    "    if len(dv_hist) > 200:\n",
    "        vals = dv_hist['dv_ttm'].values\n",
    "        # 近3年均值\n",
    "        recent = vals[-252*3:] if len(vals) > 252*3 else vals\n",
    "        dv_stats.append({\n",
    "            '代码': code, '名称': name, '行业': industry,\n",
    "            '当前股息率': row['股息率_TTM(%)'],\n",
    "            '历史均值': round(np.mean(vals), 2),\n",
    "            '历史中位数': round(np.median(vals), 2),\n",
    "            '标准差': round(np.std(vals), 2),\n",
    "            '最低': round(np.min(vals), 2),\n",
    "            '最高': round(np.max(vals), 2),\n",
    "            '当前分位(%)': round((vals < row['股息率_TTM(%)']).mean() * 100, 0),\n",
    "            '近3年均值': round(np.mean(recent), 2),\n",
    "            '趋势': '↑上升' if np.mean(recent) > np.mean(vals) * 1.05 else '↓下降' if np.mean(recent) < np.mean(vals) * 0.95 else '→平稳',\n",
    "        })\n",
    "\n",
    "dm.close()\n",
    "\n",
    "dv_stats_df = pd.DataFrame(dv_stats).sort_values('当前股息率', ascending=False)\n",
    "\n",
    "print(\"=== 股息率稳定性与趋势分析 ===\")\n",
    "print(f\"\\n{'='*80}\")\n",
    "print(\"📌 高股息 + 上升趋势（最佳分红增长型）:\")\n",
    "display(dv_stats_df[(dv_stats_df['当前股息率'] > 3) & (dv_stats_df['趋势'] == '↑上升')]\n",
    "        [['名称', '行业', '当前股息率', '历史均值', '近3年均值', '当前分位(%)', '趋势']].head(10))\n",
    "\n",
    "print(f\"\\n📌 高股息 + 低波动（最稳定分红型）:\")\n",
    "display(dv_stats_df[(dv_stats_df['当前股息率'] > 3) & (dv_stats_df['标准差'] < dv_stats_df['标准差'].median())]\n",
    "        [['名称', '行业', '当前股息率', '标准差', '最低', '最高', '当前分位(%)']].head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-section3",
   "metadata": {},
   "source": [
    "---\n",
    "## Part 3: 总回报分析 — 股价增值 + 股息收益\n",
    "\n",
    "> 股息率高不代表总回报高。如果股价持续下跌，高股息可能是「价值陷阱」。\n",
    "> 本节计算 **近 1/3/5 年总回报 = 股价涨跌幅 + 累计股息率**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "cell-total-return",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "📊 近1年总回报排名 TOP 10（股价涨跌 + 股息）\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>1年股价涨跌(%)</th>\n",
       "      <th>1年累计股息(%)</th>\n",
       "      <th>1年总回报(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>威龙股份</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>12.30</td>\n",
       "      <td>0.10</td>\n",
       "      <td>12.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>燕京啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-7.70</td>\n",
       "      <td>2.20</td>\n",
       "      <td>-5.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-15.70</td>\n",
       "      <td>3.70</td>\n",
       "      <td>-12.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>青岛啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-18.60</td>\n",
       "      <td>3.60</td>\n",
       "      <td>-15.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>珠江啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-17.00</td>\n",
       "      <td>1.80</td>\n",
       "      <td>-15.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>重庆啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-22.30</td>\n",
       "      <td>4.40</td>\n",
       "      <td>-17.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>古越龙山</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>-19.50</td>\n",
       "      <td>0.90</td>\n",
       "      <td>-18.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>迎驾贡酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-23.80</td>\n",
       "      <td>4.00</td>\n",
       "      <td>-19.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>惠泉啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-21.40</td>\n",
       "      <td>0.70</td>\n",
       "      <td>-20.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>张裕A</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>-24.20</td>\n",
       "      <td>1.90</td>\n",
       "      <td>-22.30</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称   行业  1年股价涨跌(%)  1年累计股息(%)  1年总回报(%)\n",
       "29  威龙股份  红黄酒      12.30       0.10     12.40\n",
       "14  燕京啤酒   啤酒      -7.70       2.20     -5.50\n",
       "6   贵州茅台   白酒     -15.70       3.70    -12.00\n",
       "7   青岛啤酒   啤酒     -18.60       3.60    -15.00\n",
       "15  珠江啤酒   啤酒     -17.00       1.80    -15.10\n",
       "2   重庆啤酒   啤酒     -22.30       4.40    -17.90\n",
       "24  古越龙山  红黄酒     -19.50       0.90    -18.60\n",
       "4   迎驾贡酒   白酒     -23.80       4.00    -19.70\n",
       "25  惠泉啤酒   啤酒     -21.40       0.70    -20.70\n",
       "19   张裕A  红黄酒     -24.20       1.90    -22.30"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "近1年总回报排名 BOTTOM 5:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>1年股价涨跌(%)</th>\n",
       "      <th>1年累计股息(%)</th>\n",
       "      <th>1年总回报(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>金种子酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-37.80</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-37.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-42.10</td>\n",
       "      <td>2.90</td>\n",
       "      <td>-39.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>洋河股份</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-45.40</td>\n",
       "      <td>5.60</td>\n",
       "      <td>-39.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>舍得酒业</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-44.30</td>\n",
       "      <td>0.80</td>\n",
       "      <td>-43.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>古井贡酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-50.40</td>\n",
       "      <td>4.80</td>\n",
       "      <td>-45.60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称  行业  1年股价涨跌(%)  1年累计股息(%)  1年总回报(%)\n",
       "28  金种子酒  白酒     -37.80       0.00    -37.80\n",
       "11  山西汾酒  白酒     -42.10       2.90    -39.20\n",
       "8   洋河股份  白酒     -45.40       5.60    -39.80\n",
       "26  舍得酒业  白酒     -44.30       0.80    -43.50\n",
       "23  古井贡酒  白酒     -50.40       4.80    -45.60"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "📊 近3年总回报排名 TOP 10（股价涨跌 + 股息）\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>3年股价涨跌(%)</th>\n",
       "      <th>3年累计股息(%)</th>\n",
       "      <th>3年总回报(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>会稽山</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>39.80</td>\n",
       "      <td>5.80</td>\n",
       "      <td>45.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>燕京啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>11.90</td>\n",
       "      <td>4.20</td>\n",
       "      <td>16.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>珠江啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-2.50</td>\n",
       "      <td>4.70</td>\n",
       "      <td>2.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>古越龙山</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>-6.00</td>\n",
       "      <td>3.70</td>\n",
       "      <td>-2.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>惠泉啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-5.60</td>\n",
       "      <td>1.90</td>\n",
       "      <td>-3.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>百润股份</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>-10.80</td>\n",
       "      <td>4.90</td>\n",
       "      <td>-5.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>威龙股份</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>-10.30</td>\n",
       "      <td>0.40</td>\n",
       "      <td>-9.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-22.50</td>\n",
       "      <td>10.80</td>\n",
       "      <td>-11.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>永顺泰</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-20.00</td>\n",
       "      <td>5.30</td>\n",
       "      <td>-14.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>莫高股份</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>-15.80</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-15.80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称   行业  3年股价涨跌(%)  3年累计股息(%)  3年总回报(%)\n",
       "16   会稽山  红黄酒      39.80       5.80     45.60\n",
       "14  燕京啤酒   啤酒      11.90       4.20     16.10\n",
       "15  珠江啤酒   啤酒      -2.50       4.70      2.20\n",
       "24  古越龙山  红黄酒      -6.00       3.70     -2.30\n",
       "25  惠泉啤酒   啤酒      -5.60       1.90     -3.70\n",
       "18  百润股份  红黄酒     -10.80       4.90     -5.90\n",
       "29  威龙股份  红黄酒     -10.30       0.40     -9.90\n",
       "6   贵州茅台   白酒     -22.50      10.80    -11.70\n",
       "12   永顺泰   啤酒     -20.00       5.30    -14.70\n",
       "27  莫高股份  红黄酒     -15.80       0.00    -15.80"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "近3年总回报排名 BOTTOM 5:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>3年股价涨跌(%)</th>\n",
       "      <th>3年累计股息(%)</th>\n",
       "      <th>3年总回报(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>口子窖</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-54.10</td>\n",
       "      <td>12.90</td>\n",
       "      <td>-41.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>舍得酒业</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-50.00</td>\n",
       "      <td>6.30</td>\n",
       "      <td>-43.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-53.00</td>\n",
       "      <td>8.60</td>\n",
       "      <td>-44.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>金种子酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-50.10</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-50.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>古井贡酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-65.80</td>\n",
       "      <td>11.10</td>\n",
       "      <td>-54.70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称  行业  3年股价涨跌(%)  3年累计股息(%)  3年总回报(%)\n",
       "13   口子窖  白酒     -54.10      12.90    -41.20\n",
       "26  舍得酒业  白酒     -50.00       6.30    -43.70\n",
       "11  山西汾酒  白酒     -53.00       8.60    -44.40\n",
       "28  金种子酒  白酒     -50.10       0.00    -50.10\n",
       "23  古井贡酒  白酒     -65.80      11.10    -54.70"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "============================================================\n",
      "📊 近5年总回报排名 TOP 10（股价涨跌 + 股息）\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>5年股价涨跌(%)</th>\n",
       "      <th>5年累计股息(%)</th>\n",
       "      <th>5年总回报(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>会稽山</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>14.90</td>\n",
       "      <td>10.80</td>\n",
       "      <td>25.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>威龙股份</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>23.50</td>\n",
       "      <td>0.60</td>\n",
       "      <td>24.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>珠江啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-1.50</td>\n",
       "      <td>7.60</td>\n",
       "      <td>6.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>燕京啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-1.40</td>\n",
       "      <td>5.60</td>\n",
       "      <td>4.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>惠泉啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-13.60</td>\n",
       "      <td>2.80</td>\n",
       "      <td>-10.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>古越龙山</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>-20.90</td>\n",
       "      <td>5.50</td>\n",
       "      <td>-15.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-36.20</td>\n",
       "      <td>16.10</td>\n",
       "      <td>-20.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>莫高股份</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>-32.90</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-32.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>金徽酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-43.10</td>\n",
       "      <td>9.70</td>\n",
       "      <td>-33.40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>青岛啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>-48.70</td>\n",
       "      <td>13.00</td>\n",
       "      <td>-35.70</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称   行业  5年股价涨跌(%)  5年累计股息(%)  5年总回报(%)\n",
       "16   会稽山  红黄酒      14.90      10.80     25.70\n",
       "29  威龙股份  红黄酒      23.50       0.60     24.10\n",
       "15  珠江啤酒   啤酒      -1.50       7.60      6.10\n",
       "14  燕京啤酒   啤酒      -1.40       5.60      4.20\n",
       "25  惠泉啤酒   啤酒     -13.60       2.80    -10.80\n",
       "24  古越龙山  红黄酒     -20.90       5.50    -15.40\n",
       "6   贵州茅台   白酒     -36.20      16.10    -20.10\n",
       "27  莫高股份  红黄酒     -32.90       0.00    -32.90\n",
       "10   金徽酒   白酒     -43.10       9.70    -33.40\n",
       "7   青岛啤酒   啤酒     -48.70      13.00    -35.70"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "近5年总回报排名 BOTTOM 5:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>5年股价涨跌(%)</th>\n",
       "      <th>5年累计股息(%)</th>\n",
       "      <th>5年总回报(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>古井贡酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-72.30</td>\n",
       "      <td>13.50</td>\n",
       "      <td>-58.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>顺鑫农业</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-63.90</td>\n",
       "      <td>3.80</td>\n",
       "      <td>-60.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>酒鬼酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-72.70</td>\n",
       "      <td>8.80</td>\n",
       "      <td>-63.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>舍得酒业</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-81.00</td>\n",
       "      <td>9.10</td>\n",
       "      <td>-72.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>金种子酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>-76.40</td>\n",
       "      <td>0.00</td>\n",
       "      <td>-76.40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称  行业  5年股价涨跌(%)  5年累计股息(%)  5年总回报(%)\n",
       "23  古井贡酒  白酒     -72.30      13.50    -58.80\n",
       "21  顺鑫农业  白酒     -63.90       3.80    -60.10\n",
       "20   酒鬼酒  白酒     -72.70       8.80    -63.90\n",
       "26  舍得酒业  白酒     -81.00       9.10    -72.00\n",
       "28  金种子酒  白酒     -76.40       0.00    -76.40"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算各酒类股票近 1/3/5 年的总回报\n",
    "dm = DataManager(read_only=True)\n",
    "\n",
    "total_return_data = []\n",
    "for _, row in df_normal.iterrows():\n",
    "    code = row['代码']\n",
    "    name = row['名称']\n",
    "    industry = row['行业']\n",
    "    current_price = row['最新收盘价']\n",
    "    \n",
    "    price_df = dm.storage.conn.execute(\"\"\"\n",
    "        SELECT trade_date, close FROM daily_quotes\n",
    "        WHERE ts_code = ? ORDER BY trade_date\n",
    "    \"\"\", [code]).df()\n",
    "    \n",
    "    dv_df = dm.storage.conn.execute(\"\"\"\n",
    "        SELECT trade_date, dv_ttm FROM daily_basic\n",
    "        WHERE ts_code = ? AND dv_ttm IS NOT NULL AND dv_ttm > 0\n",
    "        ORDER BY trade_date\n",
    "    \"\"\", [code]).df()\n",
    "    \n",
    "    if len(price_df) < 250:\n",
    "        continue\n",
    "    \n",
    "    price_df['trade_date'] = pd.to_datetime(price_df['trade_date'])\n",
    "    price_df = price_df.set_index('trade_date').sort_index()\n",
    "    \n",
    "    if len(dv_df) > 0:\n",
    "        dv_df['trade_date'] = pd.to_datetime(dv_df['trade_date'])\n",
    "        dv_df = dv_df.set_index('trade_date').sort_index()\n",
    "    \n",
    "    latest_date = price_df.index[-1]\n",
    "    \n",
    "    result = {'代码': code, '名称': name, '行业': industry, '当前价': current_price}\n",
    "    \n",
    "    for period_name, days in [('1年', 252), ('3年', 252*3), ('5年', 252*5)]:\n",
    "        start_date = latest_date - pd.Timedelta(days=days)\n",
    "        # 找最接近的交易日\n",
    "        if start_date < price_df.index[0]:\n",
    "            result[f'{period_name}股价涨跌(%)'] = None\n",
    "            result[f'{period_name}累计股息(%)'] = None\n",
    "            result[f'{period_name}总回报(%)'] = None\n",
    "            continue\n",
    "        \n",
    "        closest = price_df.index[price_df.index >= start_date]\n",
    "        if len(closest) == 0:\n",
    "            continue\n",
    "        start_idx = closest[0]\n",
    "        start_price = price_df.loc[start_idx, 'close']\n",
    "        end_price = price_df.iloc[-1]['close']\n",
    "        price_return = (end_price / start_price - 1) * 100\n",
    "        \n",
    "        # 近似累计股息：区间内平均年股息率 × 年数\n",
    "        if len(dv_df) > 0:\n",
    "            period_dv = dv_df[(dv_df.index >= start_idx) & (dv_df.index <= latest_date)]\n",
    "            if len(period_dv) > 0:\n",
    "                avg_dv = period_dv['dv_ttm'].mean()\n",
    "                cumulative_dv = avg_dv * (days / 252)\n",
    "            else:\n",
    "                cumulative_dv = 0\n",
    "        else:\n",
    "            cumulative_dv = 0\n",
    "        \n",
    "        total = price_return + cumulative_dv\n",
    "        result[f'{period_name}股价涨跌(%)'] = round(price_return, 1)\n",
    "        result[f'{period_name}累计股息(%)'] = round(cumulative_dv, 1)\n",
    "        result[f'{period_name}总回报(%)'] = round(total, 1)\n",
    "    \n",
    "    total_return_data.append(result)\n",
    "\n",
    "dm.close()\n",
    "\n",
    "tr_df = pd.DataFrame(total_return_data)\n",
    "\n",
    "# === 各周期排名 ===\n",
    "for period in ['1年', '3年', '5年']:\n",
    "    col = f'{period}总回报(%)'\n",
    "    if col in tr_df.columns:\n",
    "        ranked = tr_df.dropna(subset=[col]).sort_values(col, ascending=False)\n",
    "        print(f\"\\n{'='*60}\")\n",
    "        print(f\"📊 近{period}总回报排名 TOP 10（股价涨跌 + 股息）\")\n",
    "        display(ranked[['名称', '行业', f'{period}股价涨跌(%)', f'{period}累计股息(%)', f'{period}总回报(%)']].head(10))\n",
    "        \n",
    "        print(f\"\\n近{period}总回报排名 BOTTOM 5:\")\n",
    "        display(ranked[['名称', '行业', f'{period}股价涨跌(%)', f'{period}累计股息(%)', f'{period}总回报(%)']].tail(5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "cell-return-chart",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AACCcnTt37tOBWb58OQcUQIGl4FAsl32lYJdiSR7Ni6Y50o4//nh3W4laCpoFq169eo7f4Z9//rn99NNP7vGff/5527Vrl8tiu/jii13MqkqVKm4etldfffXABtH+/vtvO+aYY9wTH3TQQW4nFi1a5KKE+gOmF/L222+72pJXXnmle+Fz5szZp50CAAAAAAAAwiEgUjCozFaLFi0CS4kSJaxZs2aB2717987yOyrP9eOPP0b1+GlpabZ161abOHGide3a1f28ffv2wP1jxoyxc845x2655RY7/PDDXedrmTJlXGerEge0rkuXLnn6mgGgoNi8eXOmRYGr3Fi9erWdffbZrtyi5kkTxZmKFi2aaTvd3rFjR7aP1ahRI3vjjTfsm2++cVUTFaNSopd+VqDun3/+sXnz5tkJJ5xwYOdEU33Ku+66y0466aSw9yuip0XBs7vvvtvGjRvnfkeRRAAAAABAwaHyKLNmzXKdnADgBSw8mpdkzZo1lpGRYRdeeGGmoMfatWtt4MCBdt9991mlSpVy9fjqXPvrr7+sf//+9u2331pKSooLvHgBkZEjR1r9+vXdiHQ996pVq6xYsWKuA65s2bJudPvXX3/NGxYnLr30Urd4lJ2gc6VUqVJZttWg/unTp7v3c8CAAW7dggULXOaB5tHxHHvssS7Iqvlx7r33XtdHWbp0aXc+6j4F0rxB/+q8Xbdunc2cOdMtWn/77be7v22HHXaYO3cBAOFpsEEw/V2///77M60bPHiwWzxffvmlK9e4fv16O/HEE93f9Q8//DCQ3abv+NCMYwXnihcvbtFQ8EzZZkr+GjJkiBsccf3119uNN95o+yPqINr48eNz9cCdO3d2CwAAAAAg8SxevNiqVq3qGrOhNMBSE4NrG3ViA0huGzdutKOOOsp1Wmn6j0ceecQGDRpk7733XpZtFThTpaNTTz3VDcZesmRJlm00klzZQPsSEJkxY4YLxKiD7s477yQgEuf0vn766afuZ2UKdOjQwf1dKV++fJaB+a+//ro99NBDdt1117lB/h07dnQdpqEmTJjgzg9p3769C4jpsVQ56+GHH86UCdetWzcXyGvbtq3LpFixYoWbykZ/+7Stdy4CQDzzWYpbYvVcsnTpUpe96wnNIBN9X1900UWB2/q7rww0ZYRt2bLFvv/++0zlG/XzypUrMz2GrgNCSzyG+vXXX132sv6OaNqxJ5980oYNG+b2UdckCqZdffXV1rdvXytXrpzl1n4f2alTp9pzzz3nJoT75Zdf9vfhAAAAAAAxNHfuXDfRtuYbOPPMM13noUZ81q1b12UDHHrooa7KiJdJ8uabb7r2nxqkBNAAiDqklMnTrl07V5lIQQuVTTrllFNcv5HK4nml+TTCXKX1xo4d64Inyi7SyPWTTz7Z/awlOGihgEiRIkUCARH9rh7/hhtuyHTwvYCIvpsUoDvvvPNc4GTo0KGB7CJ13CF+aECG3hOdN1qaN28e+Fl/e3TO/Pfff4Ht9TdJf4OUYXjFFVdYxYoVww70CKagq8qAKdimzluP3+93gdbjjjvO/c3btGmTvf/+++481PMqgKaA7+7duw/oMQCARFWmTJlMS7ggmq4PDj744MAi+hut7+Wff/7ZZY8H0/e//u57Fi5c6IJoWp+dnj17Wr9+/dz3+gsvvOAyiZXBrmw5zZH222+/uQE/Kvt4QDPRwtHoj08++cRlnOmPSq9eveyMM86wxx9/fH8eFgAi+m3gRxwdAACAPKayZ8oGUHbZaaed5kZtyscff+zmwf7qq69cloc6IFU+68EHH8w0qhQA9H2hji4FOTZs2GAfffSR66wKLueojDL1GykTTVlluRVNQESj2pVRNHr0aFdCSvugoNsrr7xCQCTOKFsxOBPNyyYQDexQoDWYBnp4AVV1jmoAiAK0Kg320ksvhX0OPYa2VSkwBXQ9Kh2mjASdO8qqFpUpVoeuBogElycFgHiX4ktxS6yea18988wzbtCNrgs0CEIlnkU/a6CE5r1UlprmSGvZsqUbMKMBORrclx09jv4e6G+EBs1o/ksN2vHKAx900EH29NNPuwz1AxpE++6777JMvDZixAiXNu9FGTVSQxPBEUQDAAAAgMShzkS15zRatEePHoGOZjU81WGtTkYtKp2mgJuy1/QvmWgAPCqfpPnJFIT4+++/7eabb3YZPirXqAwjfc+okpGC8hqErUy1cKX4skNApODR+aH+xtDsAGUUBlNwVh2iylyrXbt2YP3vv/9uTz31VNjHvuyyy+zff/+12bNnu0QAnZsKvAVTGVLR3zR17ipzUX/blOmm8xgAkHc0/5muDZRZHppJppK9KtP74osvumsIlW5W6V4NgsmJ5lrV3xINmtH3vn4/3Pya+1qeN+qwoUaGqC6xLnY8RxxxhJvMVes0KZx2NvQAAAAAAAASgzI5lHHmTd6tqiO33Xab61z84IMPbNmyZfbZZ5/ZmDFjAqXZAMDrI9I8VuoXuu+++2zSpEnuO0XfHyrNpzKNyhgqVKiQjRw50pVWyg0FRDSfibLNVDJSj+fNhxYaEFHQXwG7Cy64wM455xx79tlnXalaxCd1lOrvS/Ci9zB4Th0F2+bPn+/6J70OV63TonJdwTQfmgaDqMSnKmgpOKagmJfxEEznogJzGiSizleVDlPGtbIVQsuMAUD88sV42TfKCPYG5wUvCqB5NNBG3+0ayKfv8MqVK+f4uPo7oUF+GlShwRXB81/mhagz0TTfmS5SNHJDKff33HOP+2OkixKlTGtEkbLQVHMSAAAAAJBYVMJRpVO0qOGqNp5KbDVt2jSwjdarVMqQIUPcvGiaEFzl1QBAVALvgQceCGT8aDC2AhfTpk1zAZAGDRq47RQk0chylXrMSWhARIO4NfeZRrMHl3T0AiIKmqkMrQJ3CoiIAiIK7CE+TZw40f76669M6xR89agsV/Bt0XusdXqPg8t89enTx7p06eIec8CAAe5vmebf0fmngSE6LzXvmTpYFeRVX6dKfHn9mjo3PcqWAADEP81rqXksteTmd8qWLZv3c6Lpj42W8ePHuxr4Gv2hSUA1QSsAAAAAIDFpBKg32XfwOs1dpI7FcNtrvUpktWnTJoZ7CiAeaQ40zXOmko76V3OPaFT4e++954Iaqlyk7NVvvvnGlcpToE3znORkXwIiTz75JAGRBKMSino/gykI6lH5RmVJezTfjWjuG2UedO/ePXCfgqiix1O2YnCWYmjgVeW+rr32WnceaVBIaMkwzfEHAIkgxXxuidVzxRtlqWveTF175FSyUYMlhg8fbl988UXUWfG5CqLNmDHD/XHSRZEuTHQRo2CaRvMomKaJpamJDwAAAACJQyP4//jjD/fzokWLrEaNGla4cOGofveQQw45wHsHIBGojOOUKVNcKVgFuNSR9fHHHwcyVS+55BKbMGGC9evXL5Cdpu8aLxji8aYQOf/8810/074GRFSab8SIEZkem4BIYlAGtN77Vq1aBdYp6Kol2EcffeTmylFgVZnRuaXBIDr/vGBu9erVM51jEhrYAwDEJ8WpNKCmcePG7rtd1wmaa7NChQoua3ndunUutvXzzz+7QYD67lflxWhFHUTTHyvVpmzXrp39+eefbpI3ReyURq9algqmaWSRstJUZxgAAAAAEP80kr958+aBOY3UsFRwbOPGjVazZk3Xqe3NMwQAkXhzKapko+ZDU4mk4NJ4w4YNs5UrV7rsNPUvlSlTJkvQYl+FBkSqVq3q5kQJHuhNQCS29s5ppqzl/70H4QTPgyMKwGrJybnnnuuWaKnjNJiCbwq8ekLn1xMlEAAA4l+xYsXs/vvvt/79+9s777zj2i8qA605L0WDblq3bu3iVioJXaJEiVw9ftRBNE3CqYsgNaY0qZtGGT3++OPuokc7oJEiGr04aNAggmgAAAAAkIC8Mo1Srlw5O+GEE+zVV18liAYksfSMdEvzp5nPfFakUJGofsebY0SB+B9//NH9rO8WZfsEBy72VXYBEY04D71fCIjEhj9jt1n6NrPda8z8u82fUsKsSCWzlOLmS4kuyxkAkEsasJDDoIU844vR8+wDZcBfffXVbslLUQfRatWq5VLllVL/66+/WqlSpdwSrGXLlm4bAAAAAEBiUBtv1qxZgY7oU045xWWniUquaZ6YyZMnZ/odlXvUfGkPPfRQvuwzgANvd/pu27x7iy3dstTW7VxnqSmpVqd0batYvKKVLlw67HyJSG7+9O1mO/4127HYzL/rf3cUKmlWvKH5i9UwX0rR/NxFAECSW7x4sZuu7IAE0d5//3277bbb7M0333RP8tlnnzH/GQAAAAAkuLPPPtuV7VcW2q233mpdu3a1ypUru/vS09Pd3DT169e3Y489NlPjU3PQEEQDCqZd6btswcZ/bfKqKbZ59+bA+r/WzLA6ZepY+4PaWuXilQmkIXMG2o6FZtv/yXpUlJm2dYaZr5D5i9XKscQjACB3UsznllhIidHz5IbmPa1SpUpgXmdVVDzooIPs4IMPzrTdyy+/bI899pj980+Yv1V5EURTGUdNCgsAAAAAKDh69OgR+FkDJ3v16uXaf55vv/3WZaNpjgHPhAkT3HwDAAqmFVtX2vjlP7lgWrAMy7CFmxe6ua6Oq3WslSlSJt/2EXEmfYfZzsXZbWC2c4lZkcpmhXI3Fw0AADlVUVQA7eijj3ZJYB07dnRBtO3bt9vxxx9vl156qe3evdv69etnH330keVW1EG01157zS677LKoRxmpBvXIkSPt8ssvz/VOAUAyWL97kMW33P9RAQAAiU3ZaOHKPV533XVuYm6N8BRNxv3GG2/kwx4CONC279luczf8kyWAFmzR5sW2dsc6gmj4nz3rzDJ2Zn9E9qzduw1BNADIW4rZxGxONJ/Fo6VLl7qqGqNHj3YxrIULF7qBgAqcnXPOOW6d7j/xxBNz/dhRH9l58+ZZkyZNXMmOZcuWRdxuwYIFrqSHtp0/f36udwgAAAAAkD/U0AzOQpMLLrjAZs+eHQigyZFHHmknn3xyPuwhgANtZ/pOW7FtRbbb+M1vizYvcvOmAXtPij1RHAi/Jk7jgAEA8pQCZOXKlXNLpUqV3MDAo446yho0aGCLFi1yZRyHDRtmQ4cOtddff/3AZaINHjzYevbsaY8++qh78mrVqlmjRo2sQoUKLuts3bp1NmPGDNfoUjmQMWPG2KGHHprrHQIAFFwZ6Wk259OHbdOyGUpZtuqtzrI6HS929/03c5wt/HGE/vTZQS1Pszod95aWWjLxHVs+7WMrVraaNe/xuKWkFrGVf3xhGel7rEars/P5FQEAULCULFkyy7qyZcu6BUByUMdTWkZajtulZaSHzV5FkipUKudtfEXMfHvnqwEA5J1knxNNVDWjT58+rmKG3HLLLda6devAbVGQTeu7d+9uRYsWtTwPoomCYiNGjLBnnnnGvv/+e5s+fbrbOVHmmWrkd+rUKdOOAQDgWTrpXfNnpFu7G9619N077NeXLrHydVtZ0VIV7Z8vnrC2N7xtqUVL2pSXLrGKDdpaqaoNbMnEt63DzR/bP2OfsHXzJlnFhu1t1YyvrcXFT3FgAQAAgDyWmlLYyhUta9vTtme7XYVi5S01JVfdSijICpc1Sy1vlrYh8jZFq5qlFI/lXgEAkoDf77c6depkqaYROjWZN/hn7ty51qxZs6gff5+udkqVKmVnnnmmWwAAiFaZGo2s0qFHuT9iqUVLWImKtWznxpW2ddV8K1+/tRUpWd5tV7VJZ1sz+ycXRPMVSjV/epql795pvkKFbenk961G63PNl1KIAw8AQB7p1atXrn/nySefdKM5ARQsJQuXsPpl69uKbSsjblOqcCmrU6a2FeKaHB4Fx0o0NNsy3cwfpsxnodJmxeqar1D0I/8BAIiGKiWmp6fbxx9/bF27drVNmzbZH3/8Yccee6zlhRjNNgcAgFn5ukdaycoHu0OxcdF027zsb6tQr7Xt2rzaipauHDhERUtXsl1b1rif6x13lU19WR17fitTs7FtWPSbVWmUN38EAQDAXpobQCX69+zZk+2yY8cOGzlypG3evNk1VAEUPMouq1+unjUs1zDs/UVSiljbam2sbBHKvOJ/fL5CZkWqmpU50qxo9f+VbVRwrdjBZqWPMCtcgUMGAAeAL8b/xaO0tDTr16+f+7lIkSJ2zjnn2N9//50nj03ePQAg5jYs/M3+euc2O/z8hyy1WClLSS1svj3/G9ehko/KPpODWpzqFpn39bN2cKeetmzqR660Y9kaTezgYy7jHQQAIA889thjdsghh2S7zdatW+29996zZ5991ipWrMhxBwqockXLWcfq7a1qiSq2YOMC27Bro8s6q1Gyuh1a/hCrUaqGFSlUJL93E3HGl1LY/EWq7S3rmLHTDYQ0X4oLpPlSOF8AAHnvgQceCATRlIHm3a5SpYqbI03Tj3kKFSpkbdu2tc6dO+fqOQiiAQAOqAXjhtqaOT+5n+ufcI1lpO+xuZ8/Zk0vfNgq1Gvl1isLbdvqhYHf2bVlrRUtWzXT4+zcuMqVfixV7RCb8+nD1vaGd2z6qD5WpcnxVqJSbd5FAADyiNfwDKZSzPfcc0+WeQUAFOxAWovKza1huQa2J2OPG3lePLW4W/guQCTu3ChUbO8CAIgJny/FLbF6rniycuXe8tOqkqE5z7zbTZs2deUda9SoYcWL752PU1U1Hn74YduyZUuunoMgGgDggKrfubdbZN28yTb70yF2RK+XrFSVeoFtKjRoZ/O+ec72bN9kKYWL2uq/v7cm5w3M9Dj//vCy1T3uKqWpmd+fEWi4p+3OfsJzAACQO/fff78dccQRmRqbmlNAQTQAyVfasWxRyjYCAID49NJLL7l/d+7caV9++WXg9u7du6169ep2/PHH26WXXurWrVixwj7//PNcP0eeB9FWrVplgwYNsueeey6vHxoAkOD+/WG4K9U48/27A+vqHX+VVWl8nDXscpP99tq1mg3UarY5z8rUaBTYZuuq+W6kixd4q9ignU16tpuVqlLfSh90aL68FgAACrK33347UNpxzpw51qRJk/zeJQAAAABhxHKuMl+czommUo1t2rQJ3Na8aBdccIH9888/mdb99NPealkHJIh21VVXudS3E0880Tp27GhdunSxgw46yJo1a+bWKT1OIxTPO+88q1+/fq53BABQ8LW++tWI91Vr1sUt4ZSq1sAanX1X4PYhp+6dKBQAABx4lG0DAAAAEM8KFy5so0ePzrTu+eefz9SWqVSpkltyK+oCliNGjLANGzZYjx49bOzYsfbtt99au3btbPny5datWzdr2bKlHX300VaiRAkbPnx4rncEAAAAAAAAAADNbeRRWbbVq1fbjBkz7JNPPrH77rvPpk6dmuUgabtff/011wdP/dtAQZgTLVZLsg0GTM3NEz766KNWtmxZW7x4sbutmpLr16+3cuXKuQnbihYt6urmb9++3YoVYwJRAAAAAEhEzzzzjFWsWNH9vHbt2vzeHQAAkGSUwHH77be78mvqc54+fbqdc845rsS0SrbVq/e/edY9u3btcnO7nn/++Xb55Zdn+/hpaWluDqW//vrL+vfv754vJSXFJYjImDFjbOTIkdagQQM3z5ICdJrGSH3e2h/1katq29dff33AjgGA6DzwwANRbVe+fHm78cYb7YDOiabAmco2KutMowGUDqcvrSFDhtixxx7rvnguu+wyO+200+znn392dSgBAAAAAIlDFUb+/vvvLOsAAABi5aSTTnKLRxXRHn/88Syl2FasWGGnnnpq4LaSO+655x43IMgzadIkl/ih/mtlnaWnp9u9995rd999t5UuXdrWrFnj7tu6daubC1bOPvtsW7dunc2cOdMtWq+gXosWLeywww6zCy+8MCbHAUDOFDzv06dPtts8++yzdtdd/5sq5oAE0RQ0U5ROgbEffvjBratbt677Mnn//ffdIiVLlrRly5bZf//95zLVAAAAAACJ48cff8z2fuZIAwAAB1qXLl0ylVlcuHChderUKVPShrLFUlNTrVq1avbVV1+5dUuWLHH91AMGDAj7uBMmTHABM2nfvr0LiKmv+8orr7SHH344sN2oUaPcFEaXXnqptW3b1jZv3uwCdpMnT3bZaNr2m2++sSpVqhzAowBER9fnsbpG98XoeXLriSeecNmkkSiwrkD4AQ2iqdasd5AUUNNt7+dQ+tLRFxgAAAAAIPFKOEayZ88e1wbUSHCN9qxTp07M9g8AACQPlUns0aOHVa1a1XWMv/vuu3b88ce7jDLNjTZixAirWbOmLVq0KNPvKeFDJRqjoSy0HTt2WMOGDV0gzqNrHU1hdNxxx7nBRZs2bbIPPvjAHnroIWvUqJELvL3yyiuuxCOA/Bcc2Ktdu3aW+zQ92f7IVRBNdWX1ZfXLL7+4yLu+yBTlVx1YAAAAAEDBKeEYyTHHHGN//PGH61ACAAA4UGbNmuXKKKoTXNcd6pNW4sb8+fPdtEKSkZHhgmzKFlPftZcxNnHiRCtVqpTbRgGvVq1aZXn8sWPHurnRFJibOnVqYL2er2/fvi6Y5nW+a1/q16/vnku/A8QTn3/vEqvnijfBiV6qkjh79mz3sz6rzZo12+/Hz/WcaEuXLnU/q1Sj6sQqPfaSSy7Z7x0BAAAAAMRnCUcAAID8MGTIECtSpIibZmjgwIFWtmxZu+OOOwL3K5NMCR5Tpkxxt5UtpsCXOtUVPIvksssus3///dd1tut3FCALrax21FFHBQJ1ytgfOnSoC6JdccUVUQ8+AhBbimEdeuih7mfNf5gXUqLaKCXF1ZtVVF6RPP2s5bfffnNfON5tLYULF8406SMAAAAAAMCBpvJakWgOnNtuuy1wW50qzZs3txtuuMHeeuutsL+j+XQ+//xzl/1w0003ubnfs6P5cV5//fX9eAUAgGAXXnihffrpp/bhhx+6Mo2fffaZ+/nII4+0cuXKuW1WrVpllStXDmSd6H4F21TyUfOjhdJ8aCrDqDnPPvnkExccU1Bs7dq1WbYdOXKkrV692iWS6G+M5mVbsGCB3XnnnS7oBsQNZWLFckkyUWWirVy50v2rNNmOHTu64JkoK61Nmzb27bff2uGHH+7WqV7sEUcccSD3GQAAAAAAICqnnnqq/fPPP7Zx40Y3x87zzz/vyoOpQ1Z9GQp8nXzyyRHnBFTWQ/fu3V0QjiAZAMSGgleaB82jMo3KNlMShyiDrFOnTjZp0iQ3KEIGDRrkpiJSBTUF0nr16mVffvmlS/oQzefapUsXV+pRAyWUsaK/ESoP2blzZ5eJpr8HGhShPu5x48bZ008/7bZT4E7JJR6VjgQQf5SFqpiV93PMgmiawNH7ctCXhndb/7Zv396NCDjhhBPcOo3Q0lxpAAAAAICCZfLkyXb55Zfba6+9Zu3atcvv3UESUwDM64fwLFq0yFq0aJFlvhst6ghVdoJKcSkQptuquqP5cho2bOh+VodtcGUdzanz0Ucf2d133x1Yp8d/4IEH7Mwzz3QdM9u3b7eSJUuG3cctW7ZY6dKl8/y1A0AyqFKlik2fPj1TacUxY8ZYpUqVAuu2bdtmb775pstQ69+/v5u3TNllomDYtGnT3CCIN954w1VYO+ecc9x9CpiFPrb+RlSrVi2w7uabb7Zrr73WBdb0fR5aGnL58uUH9PUDueLP2LvEgj9Gz5MLill5lPCV13I1J5rqzwaPAJDBgwcH0mflkEMOybbeLAAAAAAg8Wgk91lnneUGTXqVSID8oqyx4A5QUamt0HUKhOl8VUerBv3+/PPPVrt2bTv66KNdIE5BsbffftvKly/vtg/+fXWeKmNBc+WoI1aPpaBZgwYN3P0q73jxxRe7gFw4LVu2dNkNAIDcmTp1qhu0E0ylFJV55mWiyVVXXeWyy5SVVqNGDXvkkUcyzWumQRDKJNPj6Xs/Whokob8PKvkrymwL/fuiQByA+KDP7E8//eQGRXmZp8F0n/zyyy924oknHtggmiJ6KucY7JhjjrG89MMPP9itt97qvvzq1avngnSnn3564H6NLtAXoEaIadSZAnZeZhwAAAAAIO9p/qgrr7zSZeD07t3bZe8AiUAdn++8844bFHzaaafZzJkzXSaa5tBRB+mDDz7oOmXDWbx4sft90fw5mpvn/vvvDwTRAADR8+/ZYbZ7q9muTa7D278zw/xpZcyKlMiybevWrd33dV7o27dvjttogEVoH7gy0TwqARwq0gAKALHXrFmzTJ/ZcFT29a677jrwQbQDTSO0FDBT/dqzzz7bjXQ899xz3RxsTZs2dXVvNcJAk/7qwFx//fV26aWXuprmAAAAAIDcU3tL83yIMnRCqSPpxx9/dCM4VcpfpY769evnBjwC+U39At9//73LTPDmOBNllk2YMMH9rD4DVdDZsWOHu1+dKDqv9Tsff/yxO581106ZMmUCj6u5cObOneuy2/bs2eMCaCoDprl2AAC549++zvz//Wm24V+zPdtN0xT508ub37/C/NWam694BQ4psF8095c/hs8VX0IzRfNa1EG04FTZ7NSpU8f+/ffffdoZjQ5r1apVYISASifogva9995zQbQXX3zRLrjgAhdYk+HDh1vdunXd8ylrDQAAAAAQvY0bN7oSjZpf5IMPPrBly5a54NhBBx3k7tdI8SuuuMIFEVS6/8Ybb3RBCM0zouCFSicB+UmBM/UlhM6FpuCXRyUYdS5rPhwFjTXvmYJojRo1cn0dmkvn119/dee359FHH7Wrr77aBddmzJhhl112WY4jnAEAWfl3bjL/0l/MNi7KfEfaTrP/Zph/zzaz2p3MV6wshw9AXIo6iKYLzrVr10YMpun+ChUq2KRJk/Z5ZxQgO+WUUzKt04Wtapd7k1ir1GNwwE6NNmWoEUQDAAAAgNxRds7ff//tggXHHnusa39p0KICZp5evXoFAhEKsKm8vtp/XjsNiHfKKBs/frzt3LnTihYt6ko4zps3zz7//HMbPXq0yzDTHBmeJ554wlXKUeUbBYw1t5kXQFPATee+MtMAANnzZ2SYbV6WNYAWTNlpFRqav2hp8/lSOKTAvvBn7F1iwR+j58ljilupVGzwvInRivo31JhSA0uTs7366qtZ7vMmeyxdurTtq+CGmmheNM2R5k3iqFGRoSMdVZ98+fLlER9z165dbvFoFJlkZGS4BQDyi898cX3wo/2O9MVhGncoXkv8yc3f4Hg/xzi/4lNBeV/4rMSneGtH7O/+qITdu+++a1988YWdeeaZYbdRW0yBBrX3evbsuV/PB+Q1DchVllnoPH6iyjUqRfrHH3/YM88846rc6DOjgJrm9rvzzjtdiVJNJ6H+BfVtaJCuOlmU4TZ27Fh37ntlIjdt2uS2De6Q8e7zPP744+5fzeUOAEktfaf5Ny7McTP/hgXmK1vLrHDW+dEAYH9pANXzzz9vX331lRscdUAz0TyaUFqjrtwkkH6/K/vhBdHyii42NS+aavNrnjTxRo0F023VNY9kyJAhNnDgwCzr16xZ4x4PAPJLw7LxXf4o2kZ/ndLx/13Ka4k/uelUivdzjPMrPhWU94XPSnyKt47xLVu25MnjnHbaaZnafcHGjRvn5oJ67rnn8uS5gLykKSAilXNUoOzDDz+0ypUr20MPPeSWSNLS0uyRRx7J8lgqARmJgm2aMzCc4JKSABKXOl69Af7IpYx0NwdajvbsSNjsFiAuuIkGYzRA1B/fA1FDffTRR27AoK7natasuU+Pkfvctf/39ttvBy4yFUTbFyoFEjwZtUZzderUyU3ge+KJJ7ogly52lekmxYoVyxL4UpZZ6IizYHfccYebJDg4E61WrVruAjp40mAAiLV5myJn0caDKlWqRLXdH+uut3hXpUp0f6cWb1lm8S7a9yXeX0u0r6MgvZZ4fx3Ca4k/fFYS/32JBbWT9tfPP/9sb7zxRqDtFUrzQXmVQyIF2oC8kOFPswz/TvOb33yWYim+opbii9x1oU6RcObMmRP4vEb7mVV5n9AAWnaqVq3qSkJG4u0DgPihv2EPPPCA3XLLLVaiRAmXmaqyrqqE9eKLL4b9nVGjRgWCaL1793bbqi9SFbu+//77wHannnqqrVixIlBG9tBDDw3cN2HChED1rjFjxtjIkSOtQYMGri909+7dtmrVKvf3XMkCZcuWdZW4vv76a0t4Ks+YGrnfNiC12N5tASCXVq5c6f7VnM5HHHFEpvvUttH3tL6vmzdvbrfddlum6cIOaBAtuGEVqZEVjeuuu84uuuiiwG2VUNCozhNOOMGNptQLDC7fqJ+9g+JRKcfsJrPWH5/Q7DVRWUotAJBf1DEQz6L9joz315G71xLfJTYL0mvJzd/ggvJa4v11CK8l/vBZiU/x1o7Y3/1R8OyKK66wm266KeI2mk+qS5curv23Z88e18aqVKnSfj0vEMzvz7A9GZtsR9py25Wxxvz+3S6AVrRQVSueWsNSfaXibq4cfR6U6QYgcehz27BhQ7v44otddkKbNm2sY8eOrsKWglx16tRxCQPTpk1zc4Wq+pUCXK1atXID85WVPWzYMJdpGjo3osq/elTmVY8Rbu4dVd5at26dzZw50y0KuN9+++0uiB/ucRNaajHzlaubY0lHX4X6ewNpAPZNEmeiff/9964d89RTT9n06dPdAIQiRYq4QROKM+m7Xd/dU6dOdYMb+vfvb4UKFTrwQTTtgEZK6F+vzvi+UARQi0dZZhq1oT9QGgkZml7Xrl07N3LDm9h64cKFLoim9QAAAACA3FGZe42q19xP5513nj355JOumodGwQd3OGq0vNZ7AxQ1krNChQocbuRZAG13xjrbtOsvS/P/rzxpun+H7cnYaLvT11iZIs2sSKH/9R8AwL7SgH71R6pfc+vWrW6+xEWLFrlgmubLUSBLAXIFwZSBpvlzNPei+iy9LDNVxvIoIaBr166ZnkN9lgrChU45owpcymzr1q2bXXrppda2bVsXnFMG2+TJk1022sMPP2zffPNN3GW+7wtfSiHzl61pVraO2abF4TcqV9es1EFxN1ACQGLo0aOHG4SgyhlqtxxzzDEuiObRd6y+bxVoU/ax4lkxCaJ16NAhUxlG3c4L+qOlERiqJ64/GmvXrnXr9bP+eF1zzTUueqg50vQHTH/ITjnlFKtbt26ePD8AAAAAJBOVudeozMaNGwc6Fr1sM4/WqUNR5U/q1atnL7zwglWsWDEf9xoFTYZ/l23dMz9TAC3Y7oz1ti3tXyvka2KFUrJWmgGAaP35558u+1oUwIpEQS1tp79/+pt37rnnun5Jdcz+8ssvNnv27EDgTANPHn300Rwzw5UBocCdprE57rjjXP/npk2b3DQ5mq+xUaNG7vleeeUVV+KxwCha1ny1O5p/VUmzDQvN0nbsXV+oiFnluuY7qKX5iv1v8A4A5FaTJk1s0qRJWSoS6jv3qquucoMa9L27r2Xpow6iqSHllW5UllhO2+wLzX+mkRzt27fPtL5nz572+uuvuxEhqk988803uxGTJ510kvvDAgCJ6LeBH+X3LgAAAAQCaPLmm29GPCK6TyWmNIhS88FUr16do4c8kebfarvS12S7za70/yw9tZ4VMoJoAPadMqm9Uo3BA0ZCKQvskUcesbvvvtuVNFaATKXCRFWxJk6c6Ab1K6tBnbaqkvXss8+6JThTW1W3VApS/Zqevn37uo7cxYv3ZmbNmjXL6tev755DpSQLGtdXXKKSWa2OZlWbme3YYD6/33zbzHwH1TJf0ZL5vYtAASnnmBG754oz27dvjzhPruJJGjgo+xq7ijqIpi931Y7M7om0zWmnnZZpUs3c0AjInKiUo1fOEQAAAAAQG4cccogbUNm5c2c3l4BKQAJ5IS1DGWgZOWarZfh3csAB5DkF05YtW+YCYuqIVd+n5jJr1qyZffrpp3b99de7OdRat24dmO+sWrVqLuAVmn32wAMPuG0179no0aNt3rx5rjxjqKOOOmrvd1tGhqvMNXToUPdYyn77+++/C+S77Ctc3ExLySrmy8gwX/rqvesAYD+omqEGRnjZxaHxK2X6aoowJW9pkENwqcc8D6J9/PHHOW7Tp0+fuJtkGwAAAACQN0qUKGFjx451nYxA3omuH8EX5XYAEI0ZM2a4SldNmzZ1wasNGza4Kljdu3fPtJ0yzZSV5lHJRW2jgSXqmC1fvnym7RVcU9nI7ObcGTlypJuLVHOy6Tk1h5rceeeddt999/EGAtiHTDR/Umaivfzyy25eNM3f/NprrwUSwZTwpX81H1qbNm3s4IMPdlm/+yLqINpZZ521T08AAAAAACg4ypUr5xYgrxROKWcpvqIu2yySVF8ZK5RSgoMOYL9t3LjRZS4oS+zpp5+2bt262cqVK+27776zr776KrDd8OHD3RKO5jM78sgj3VyhCr4Fe/vtt115xwcffNBNWaOyj8E0J9q4cePcc6uDV4+jTDiPsiUAANG59dZbA4MWPvvssyz3a2DDLbfcYnfddZcbtHBAg2gAAAAAgOS0ZMkSq1GjRraj6oF9VchXwooXqmHb0v6NuE3x1BqW4iu2z8/xyy+/uDmOGjZsGPXvaN4jnfcACo5vvvnGVdJSZoIyqzUf2cCBA93cZfrMK0tB5R3V2XrNNdfY1VdfneUxFPBSRnbx4sWtcOHCgfVdu3Z1GRGffPKJC8YpU02ZZY0aNbJ169ZZxYoV3XY333yzXXvtta5k5JYtW+yVV17J9PjaDwDIFc2HFrM50TIsngS3TzTVWDjKGj7ppJPcd3a47/WYBdFWrFjhUp8HDx5sLVu2zKuHBQAAAADEYFT+qFGj7Kabbgp7v0bRz549282LBuS1QilFrGThepZhabYjTdkY/+uc8VkhK5Fa14qn1rbly1baGWeckel3586d6wJjwVNLqBTaOeecY9OmTXOLyvkoI6Rnz55Wp04d13F95ZVXht0XjVZWZ/pff/3l5v779ttv3WOrlKmMGTPGlWFr0KCBffnll7Z7925btWqVFStWzJV8K1u2rAu8ff3115woQBzSvDm//vqrlS5dOrBO3xEKnIk6WEPn0wk1YsQIe+uttwJ/M3fs2OHKh+lflWhU8KxUqVIuqHbuuefak08+aQMGDHBlxvRcLVq0sBtuuMH9bvXq1W369OmZHl9zjwIA8o4GSOjaTFnI+yJPgmhKee7QoYObOFN1hAEAAAAAieO///5zI+O9DsFevXrZkCFDrGrVqu62Ov2AAyk1pZSVKdzYiheqaTvTV5rfv8eVeCyWepClppS2Qr6iVqtWLdfZ/MADD7gglyxatMh1jHijkD/88MPAY37++eeuv6J169budzz3339/piCaOtWV+ZGenm733nuv3X333a6DXXMl6T7NWTRnzhy37dlnn+0ySmbOnOkWrb/99ttdp7jmSbrwwgs5UYB84FdmRNoOs4zde1ekFDVLLWY+X+a5FIsUKeKWYAqaha7LjgL13rxlGRkZLiNNpSDDZWsrCK8AWvBz6e+tx/tuCaZSjwCQK0k8J1q0NABKS0yCaJ9++mmWdRpt1bt3b/evRjBWqlRpn3YGAAAAAJD/lGmjwIAXRANioVBKMbcUKVT+/yeDT7EUX9Zui59++skFtzQ33+TJk61Tp06uA9zr1A6mUcdTpkzJtG7z5s1hy/zoMUVzGCkg9sMPP7hg28MPPxzYThmbmj9JpeDatm3rHkuVebQfykbTtioXp9KRAGLDv2e72fZlZlsXm+3euHdl0QpmpQ42f4nq5kstfsD3IafsNQBA7Gmgw5tvvumu2/ZHVEG0V1991Y3yUvkDjbo6+uijA38cdPGqlGddYGrE1vPPP28LFizYr50CAAD/x959gDdVfnEc/yXdpYO995IlyAZxsFTEjQMFBzhRce8t7r1FHIgD98K9UFH8M1VA2Xvv2Ra6k/9z3pralhYQaZq23w/PfWhubm5ubpImfc97zgEAoOSQeYaS5PVEWB3HPXrnnXdc2TXLCnvttddctof1FirIgmAFS6OdddZZe9y3ZaFZWTYrE1mzZs1874utW7eqV69emjBhgnbs2KEPPvhA9913n+t5ZOMi1tvISjwCCA5/1i5p+1xph2V05cmO2LVW2rVeqtxG/sSD5Anb/56KAIDQD5Z16tRJf/zxR24/5/r167u41dChQ4MTRDvppJPcF8QjjzzSBc9sVlUgzTlQd9xqgD/99NOqXLmy+8L4b9KgAQAAAADlh2X43Hjjja7PWuPGjV1v7eOPPz73epsxaiX1Nm7cqD59+rjABFlxyNujz/oI2bjDqlWr1KFDB9fnzIJoixcvzi3VY4MpVtLRgmz2mmvdurXLELOxDet7Zpljhfnqq69cbzQr0TZ9+vTc9TYecvXVV7tg2ooVK9y6OXPmuHKSNjZitwEQ5AkfaZt3D6Dl8knb5kjRNaTYfwLiAFD22O/AYJVZ9CsUPw8C/SWtPLd9V7T/A9f9V/sURKtSpYorWfDJJ5+4ppgFvfvuuxoxYoTbhvRlAAAAACh97A/MMWPG5P6h+dFHH+ULXBW8HOid9m9ZkMMCZvfff7+rdPL1119rwIAB+v33312PbSu9d9FFF+mtt95S27Ztdfnll7vZo1aWD+Xbtm3b3GvFZhsHXqfp6elu1rH1IrKgV//+/TVr1iyNHDnSvZ5NtWrVXIlGG1C57bbbdOqpp7pWFVaWsaAhQ4Zo6dKlLsBrGWYWILMAXV6HHXaY+9+OwyYTjxo1ygXRLrjgAs2dOzco5wKAvQnTc0o47mlA158tpSyXP6qyPGFM+AeAssrzd+VE+44Y+J6YUx78v5fb/Vc90U444YRC11sDXqv/XalSpf98QAAAAACAkmHZYQGPPvqoC0wUddn+IN2fIJqV4bMMIcvoMZdeeqmbsPnee++5IJoFPwYOHOiCJeall15ywQ8LbFjWGsovG3MYPXq0pk2b5l5/lnlmZXqs9YSVbPz1119dfzJbrrvuOrdYfz9bb9tZUM3KLx5zzDG7BdCsH5pV1bHJwZ9++qkL7to2H374Yb6Sjsb2aYG4lJQU9ejRQ8uWLXPrb7311kL7sgEoJr4sKXP3Mq67yUzJCaYBQFnl9+UswbqvEGbfEQOBswOV8LXPQTT7svnEE08Uep3NwrImvFYOwaJ7gRKPAAAAAIDSwf7I3LRpk/vZ/qaziZLNmzcv9PJ/YQGyY489drf73rlzp/vZ7idvMK9BgwaqU6eOy1AjiFa+WdDMgq0W5LK+Ztaf7OOPP9aDDz6oL7/80vUy+/zzz10LikDVHMt4/N///qcbbrhBL774oisTamUX7fVWoUIFt91VV13lAmuTJk3S9ddf716PltFmWZMWnLNMtH79+umhhx5y9zl+/Hg99dRTbruOHTtq9erVucdomXEAgsUjecL2YbN92AYAUKr5/X5ddtlluVlo9nOg1Lb9nJdN2jvgQbQ333xTjzzyiMaNG+ea5Vp/tLzlDKxeuP2hY2655ZbdSh0AAAAAAGAKBuKsbJ71qxo+fLi7bAEJC5rlZf2vrAJKYSxokTdwkZSUlFtqz5YDLVBKsDj2XZYdiPNmAyGWFfbzzz+7hvFHHXWUKzNqrL/Z5MmT1aVLF1f60wZHrLzjjz/+6FpU2G0tk83GM6xMowVkr7jiCpc9Zn3gTe/evXMb0psjjjhC77//fm4mmh27ZVAOGzbMBZYtqGf9+vKy1+mBfO3xeuOcBUtpfK35PeFSdHUpdeOeN4ypIXnC5eEzIWSUxtdbKOC8BfeclabXp99vjzM4x+sP4Uw0+84W6IVmZegDQbT/2lt5n6JdrVq1cl9C69ev7xr2Wg3xAJt1ZbMIbTaWNYNOTEz8TwcEAAAAAAgeqyqyfPny3dYHo9/1xo0bXV80+7vS+qQZq3ASFRWVbzu7nJqaWug+LAvJenQXZFl1tq8DzQZUduzYQRWWEjpvNv5gvdEs6ywwmTdgy5YtrlRooA9au3btXKCrRYsW7n8LmNn/lnl23nnnaf369e41WBQr77h58+bc47Vjtx5pp59+urtd9erV9c033+S7jZWAtNtERh6Y3ku83jhnwVJaX2v+jArSrjjJV8Tv+/A4KSVSnvQtxXL/pfW8lTTOG+etNLzW7DsDSg/72+XOO+90gTObMGUltu1vAYtZ/ddy2/sURLM/aAJ+++23Qr9YWl37zp07uzIJ9mUVAAAAABD6HnvsMX3xxRfuZ8u6CfSKsr/vAoMN/yWgZn+42hJgvaYOP/xwNxHTMonsj1vrOxW4D8soKhj8skwzyyoqjFVDufbaa/NlotWrV8/9XZqQkKDiGIyxY7X9M2B6YM5bti9dWf40WfEdr8IU7o2W1zJM/gN7bRkLdM2fP3+362393sqTFgzSmTvuuCP354ULF+52vWW6HUi83jhnwVJaX2t+X2WpUoy0daaUsT3/ldFVpUqHSDHV5PEUz2MqreetpHHeOG+l4bVm30lLDSth+HcZw6DcVwixEt2B/rQF/24Jek+0PbEZVs8++6yrLf7000+7SB8AAAAAIPRZf6kVK1bo8ccfd9k51g/bekdVrlzZXW8zd62P2f6yHgSDBg3KV2bFsnj69OnjZvhaub285Rvt53Xr1u1WIq9gice8WWoFM9eMDZQU14Cm/UFenPsvqwqet2x/ptKytmh7xnLtytwgnz9LEd5YxUfWVUJkfUV6E4KSERnqeL1xznit7YE3Uv642lJUgpS2WUqz3p6enBKOUZWl8AryeIu3JxrvUc5bMPF6C94543te6TBp0iQNGTLE/c0yduxYnXnmme5nK919oEpyHtDmZRY8K021QgEAAAAAUoMGDfTMM8/o4osvdn942iTJmTNn5itjt78qVqzolgDLMuvfv78rz/jrr7+qbt26+bbv1q2bKzF5/vnnu8s2s9SCaLYeZYfPn62dmeu1buc0Zfn/KdWZlZ2q1NQt2pm1UTVjOyo67J/XDgAUxuMJkyIT5Y+Il+Lq/70ynCA8AJQDRx11lPtb4auvvtK9997rJgZadY1mzZq5ahbdu3cPrSCaIUILAAAAAKVTmzZt9Msvv7ie2Hn/tnvhhRdcBtmBYNVLZs+e7creWZkc6x9l7Oe4uDhdcsklLkvNeqS1b99ew4cPd32wGjVqdEDuH6Ehy7dTm1L/yhdAy2tn5jptT1+iatFtFeaNUFmRmZmpiIiI3P8BHDiuZGMxlW0EgJDm9+UswbqvEGST9OxvBuuX/Prrr+vzzz93bcgC1TX+Cz5ZAAAAAAC57A/Ns846K98ZscDWgeovZv3PArNCrT9FYLFgmenRo4dGjhypa665Rq1bt3aBBvtDGGVLatZWpWVv3eM2yRlrlOXfpVDy/fffu2CzLbVr19Zrr72mfv36afny5e76BQsW6Oabb87d/uyzz87tLb9r1y717NnT9e7o2rWr5s2bV2KPAwAAoCyW7rz11lv18ccfu8v2d4R9N/uvCKIBAAAAAIJm+vTprjxkwcWCEQFWynHlypWu5KP1bLMgG8oOv9+31wCayfAluz5poVYyyDIpbbFBmrySkpJ07rnn5usBmNcDDzygk046SV9//bUrnzp48OB8LTHs54YNG7rAGwAAwD6z0uvBXELMGWec4SYpBVhFjWuvvdZVubC/I2rUqOGqYewvgmgAAAAAACCoPPvQXcLjhiw8Kg3WrVvnSpDefffdatu2rSsfZNlq1luwV69errSQ9QC0QR7rO2gZn3b9okWL8mW52W2/+eYbbdmypUQfDwAAQGnx0UcfuUoXAffcc49bN3bsWDfx6YknntBjjz2m+++/PzR6ogEAAAAAAOypb1GFiJrakjZXPhWdaRYbXk3hnqiQO5HWq896mpnAYMxNN92kJ598Uh07dnSXIyMj3aCNlXk89dRTNWDAAF111VUuS+28885z2Zbjx493M6QDXn31VdfPIzY2VmPGjNH1119fQo8QAACULpbZHqxeZT6FGqtqkde7777rejrb9yrTsmVLl41m38Fuu+22f71/gmgAAAAAADVq1Mj1EdgXtt2SJUs4a9hvkWHxio+spx0Zywp/jcmrxMhGCvPGhNxZtjKj8+fPdz+/8sor+uuvv1yPv8cff9wFz8wjjzzistFs8Mb6/N1+++3uOivX+NRTT7nypcccc4xGjx6tFi1aaOvWrfriiy/07LPPqmbNmrrxxht13XXXlfAjBQAACH32t0nev2OioqJUq1atfNs0btxYKSkp+7V/gmgAAAAAADdgb0tiYqKOO+44zgiKVYQ3RlVjWssvn5IzVrn/A8I8Uaoa3VrxkXXk9XhDLoCWlpamQw45xA3EWHmggw8+2JUIsjKNU6ZMcdstXbpUJ554omto/+2337pAWUxMjObMmeNuaxo0aKDPP//cXffWW2+5YFv16tV17LHHasiQIfrhhx/Uu3fvEn7EAAAg5AWzV5nfH5KZaJZl1qpVKzVr1kydOnVymWgvvfSSu37Xrl268847deihh+7X/gmiAQAAAAA0fPhw1a5dW6effrpOOeUUFwAAilN0WEXVjOmoSlFNlJyxWj5/liK8cS54FumNV5g3J6srlFggzEo0BvptJCQk5F5nZYIsSNa6dWs329mCYFbC8corr9SmTZu0bds2rV+/XjfffLMmTJjgSg3dcMMNuaUc7ToLqBmbTT1q1CiCaAAAAHvx2Wefae7cuZo3b55++uknVzHAJjtZqe0KFSq4v3EqVqzo+s7uD4JoAAAAAADH+jZdfPHFbtDfytCFh/MnI4pXRFisW2LCq7mZzR5PmLyesFJx2hcvXuyCzgHXXnuty+b86quv5PV6XVDNWI+zk046yZVwLMyMGTO0bNkyrV69OrdH2p9//ulmUVtgzfYFAACAwh1//PFuyWvt2rUugGbGjRunLl26uO9k+4NvYgAAAACAXPfee6/LRKPnGYIpzBPhMs9KQwAtMzPT/f/HH3+oadOm7uc33nhDI0eOdJlkF110Ue42BVk/tDZt2mjo0KG56ywLzUoQBQJopm3bturZs6frmQYAALBH/jwlHYt9Ualg2WcB9p1qfwNohiAaAAAAACBX1apVXemTgw46iLMCFOKdd95R8+bNdfTRR7ssMSvTmJGRoWeeecb1SLNeZ1bWcbcBGK/XZavNnj3bZaWFheUEDJ999lk9/fTTu23/3Xff6bbbbuM5AAAAKEHU5gAAAAAAAOWaNaSXPzvngifM9SQryrnnnuuWgKlTp+a73hrXB1jfs7y3CzjyyCPdAgAA8J/5fTlLMPiDdD8hhEw0AAAAAEAuK0PnAgpF2LBhgytFl5yczFlDqef3++TPSpHSVkvJf+UsaavdOrsOKG4rVqzY4+/cwmRlZRXb8QAAgPzIRAMAAACAcmz+/Pmuj1OAlXG8/fbbdf755xe6vfUTsP5PN998MyUfUaq5IFn6Jil5jpS55Z8rdi6WIqpI8a3lj6omj4f5xygemzZtUvfu3V0Z0DPPPHO366+55hpX9tP65Y0bN05XX321tm/f7n4HW0++ACslamVCs7OzXWZkSkqKW+xy5cqVFRMTo86dO2vMmDE8lQBQJv3dryxY91XO8E0QAAAAAMqp9evXq1OnTvnK0e0tI8IGc20bn48sHZRyWUlS0sz8AbQAW2fX2TZAMdi4caP69eunESNG6L777tPEiRPzXf/pp59q5syZ6tGjR771u3bt0s6dOzVhwgQtWLDArbvyyitVs2ZNtW3b1gXTRo0apbPPPlsnnXSS3nrrLbeOABoAAPuHTDQAAAAAKKds0NWy0F5++WV17do1d/2qVav0559/FnqbGjVqqEKFCnvsGQWEOr/1P0tbv+cgmV2Xtl7+8Hh5PGHBPDyUcd9//72GDx+uhx56SKeccor69u2rk08+Weedd54LiCUlJenZZ59113/yySf6+uuvXdbaU089pQ4dOrjstLPOOkt33323mjRpojfffFO33Xabtm3bpkMOOcSV27V9WCbapEmTlJCQoN9++62kHzYAoNjY5LZgTXDzqbwhEw0AAAAAyrHBgwe7jIe87rnnHjcQW3Bp3769nnvuORdE83r5cxKlmC9Dyti49+1sG9sWOADWrl2rE044QY8//rgaN26s+++/XxUrVtSAAQMUHh7uMs8sm2zKlCn67LPPdNVVV7lssoEDB+riiy/WBx98oHXr1rnSj82bN9cll1ziMoOtLK8F4SxoZvuzYJuV5D3xxBNd6Ucr7QgAAPYPmWgAAAAAUI4dd9xxuu666zRnzhy1bt3arbPshzPOOKPQ7RMTE/X6668TREMZ6B2SvQ+bZZfL3h8oHtWrV9cdd9yhLl265K477LDDXL+zqlWr5gbaNm/e7LKDq1Spos8//9yVYhw6dKgee+wxl0H8119/KTMz020fERGhhx9+2PWytBKRxn6fW4aaZa9lZWXxdAIA8B8QRAMAAACAcsyyGSpVquRKfQWCaDZw26BBgyJvY1loZKKhdAuTwipI2ryXzWwbSjniwLBsMwugWQnHZcuWuXWLFy9Wr169XIlG6zU5fvx4VzbXJjM8+uijeuCBB7R69WpXqtECaJdeeqkOPfRQHX300fn23bNnT5eJZv3SbKKD9Uxr2rSprrjiCleiFwBQhvn8OUuw7qucof4GAAAAAJRzVj5s0aJFbgDX7C1zIT09nSAaSjVPWJQUU9d+2tNWbhu3LXAA3XfffapTp46mTZvmSuX+9NNPuuWWW1zpRstWsyBax44d3bZHHXWUvv32W9dH7Y8//tC1116rVq1aqXv37vn2aSUcLTvNstgsoDZ58mTXF+2uu+5S5cqVef4AANhPBNEAAAAAoJxr2LChy3awsmArVqzQsGHDXMaElW60AJv143nppZdcJkRaWpq2bNni+qIBpVpEZalC86Kvt+tsG+AAs6xfC5J9+OGH7rJlAlupxquvvnq3bZ9++mmdc845LuhmQbL+/fu7co7vvfde7jYLFy50pRsbNWrkfnfb/i17LbBQ0hEAyji/P7hLOUM5RwAAAAAo56xHz5AhQ3Zbn5qa6nrsTJ061fXbuf766zVixAgXQAv07wFKK09YtPxxzaTwClLqailzW84VEZVystSia7ttgAPpwgsvdEEz89lnn7lyjjfccIMrxdinTx+3fuLEie5/+/1rkxhGjRrlbmO9z9q3b+9KPtrvbctgO/LII93Eh1tvvdXdZt26dXrllVfy3adlpAEAgP1DEA0AAAAAyrnGjRu7pSjnnnuuHn/8cX366aeuR8+AAQPk8eypDB5QOnjCYuSPbSRF15J8GTkrvZGSN1oeD8V7cOAVDHAVxXqbWWnHF1980WWhmfnz5+u2225T7969FR8fr48++siVdbTfyVYKcv369erUqZPrh5ZXixYteCoBoEyzkuy+IN5X+UIQDQAAAADgBmN79OihmjVr6vzzzy/0jKxcuVJr1qxx2RNAWeGCZWGxOQuwn/wWhPVn2wtK8kTI4wn7T+fS+qJ9/fXXiomJcZcDgTHLTDOdO3d2ixk+fLj7335/FwygBYJvAABg/zCtCgAAAADKMSvZeMopp2jw4MGuRJh57bXXXPkvv9+fb7HsM5/PJ6+XPyUBwPh9afJnrJd2zZF2zpBSZklpy+XPst+h+z9b337fBgJoAADskc8f3KWcIRMNAAAAAMqxY4891gXMZs2apYMOOih3/SOPPLJbiUfr2XPEEUfo9NNPd714wsP5kxJA+eXPTpXSlkrpK+zSP1dkbZYy1kixreUPr0RpUAAASjGmDwIAAABAOXbFFVfo559/zhdAs58jIyN32zYsLEzvvPOO5syZ48o/AkB55bfSjZnrpfTl+QNoAdnJUuoiyZdWEocHAAAOEKYNAgAAAEA5duqpp+62bt68eUVuX79+fU2aNEktWrQo5iMDgL3bsGGDxo0bp+OOO05169YN3inzpUsZ6/a8TdZWKTuJfnsAgOLl9+csweAvf+UcyUQDAGA/ZKYma+abV2vKs2dq2gvnavvKWW69LytTcz68S5OfOUNTnh+kjfP+aey96Jun3frZH9yRu27pT69o65JpPAcAgFKFABqAUGH9Gnfu3KmTTjpJV199tbucV8+ePbV8+XJt27ZN3bp102233aY2bdooISFBzZs3dz9/+umnhe7b+kWuX7++iDvOlLKS9nZ0Uta2/9QbDQAAlCwy0QAA2A/LJoxWXI2mOuScp7Rz4zIXUOtx3ada89vH8vmy1O2K95S5a7sLmlVp2l2+rAxtXvg/db/yfbdt8vpFioqvqpT1i9S414U8BwAAAMC/dM0112jZsmXu5zp16ujggw+Wx+Nxl/MG03799VfNnj3b/Xz77bfrhhtucP0dv/76a8XFxSkxMdFdt2rVKtcnMmDx4sXq27dv7uUjjzxSzz//PM8TACC0kIlWrAiiAQCwH5odc2XujNLUbWuUnZXufq7XbaDqdBrg/nhPT94sX2aa/L4secPC3Zcavy9b2Rlp8oZFuEBco57nc/4BAACA/XDLLbcoIyPD/Xz55ZerSZMm7uc//vhDL7/8sj755JPdbmNZZzfffLMr/Thw4EAtXLhQGzduzPkuX6+ehg0b5oJnixYtcoE4K2Fbq1YtxcfH67zzzvtnR54IKTzBZZoVzSOFV5bHQyEoAABKK4JoAADsB4/XK4+8+mPM5dq27De1GnB37nXe8AjN/fgerZv1lRr3vkThURXc+lodTtDUkeeoSrNu8njDlZW2U/G1DgqJ0pRzPrxDadvXyxseqebHXaeK9du50pTzxt2npLXz5AkLV+PeF6t6y565pSkts86Ov83p9+aWpqxYv60qN+lSwo8IAAAAZV3//v21dOlS93N4eLgaNmyov/76Sz6fT8OHD9cXX3xR5G0tUBYTE6MBAwa4ko0B5557rgvAGSsBWbVqVU2fPl1RUVGqWLGixo8fr5EjR7osNnmjpchaew6ihVeWwuIP5MMGAGB3Pl/OEgy+8leimKkwAAD8Bx2GPq9DrxmnpT+9pLQdG3LXtxpwpw6/6RttmP29ktb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",
      "text/plain": [
       "<Figure size 1800x700 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化：近5年总回报 vs 当前股息率\n",
    "fig, axes = plt.subplots(1, 2, figsize=(18, 7))\n",
    "\n",
    "# 图1: 5年总回报柱状图 TOP 15\n",
    "if '5年总回报(%)' in tr_df.columns:\n",
    "    top15_5y = tr_df.dropna(subset=['5年总回报(%)']).nlargest(15, '5年总回报(%)')\n",
    "    \n",
    "    x = range(len(top15_5y))\n",
    "    price_returns = top15_5y['5年股价涨跌(%)'].values\n",
    "    dv_returns = top15_5y['5年累计股息(%)'].values\n",
    "    \n",
    "    axes[0].bar(x, price_returns, color='#1565C0', alpha=0.8, label='股价涨跌')\n",
    "    axes[0].bar(x, dv_returns, bottom=price_returns, color='#2E7D32', alpha=0.8, label='累计股息')\n",
    "    axes[0].axhline(y=0, color='black', linewidth=0.5)\n",
    "    axes[0].set_xticks(x)\n",
    "    axes[0].set_xticklabels([f\"{n}\\n({c})\" for n, c in zip(top15_5y['名称'], top15_5y['代码'])], \n",
    "                           rotation=45, ha='right', fontsize=8)\n",
    "    axes[0].set_title('近5年总回报 TOP 15（股价+股息）', fontsize=13, fontweight='bold')\n",
    "    axes[0].set_ylabel('总回报 (%)')\n",
    "    axes[0].legend(fontsize=10)\n",
    "    axes[0].grid(True, alpha=0.3, axis='y')\n",
    "    \n",
    "    for i, (pr, dv) in enumerate(zip(price_returns, dv_returns)):\n",
    "        total = pr + dv\n",
    "        axes[0].text(i, total + 3, f'{total:.0f}%', ha='center', fontsize=8, fontweight='bold')\n",
    "\n",
    "# 图2: 股息率 vs 1年总回报（先合并股息率到 tr_df）\n",
    "dv_col = df_normal[['代码', '股息率_TTM(%)']].copy()\n",
    "valid = tr_df.dropna(subset=['1年总回报(%)', '5年总回报(%)'])\n",
    "valid = valid.merge(dv_col, on='代码', how='left')\n",
    "valid = valid[(valid['1年总回报(%)'].between(-80, 150))]\n",
    "\n",
    "sc = axes[1].scatter(valid['股息率_TTM(%)'], \n",
    "                     valid['1年总回报(%)'],\n",
    "                     c=valid['5年总回报(%)'], cmap='RdYlGn', s=60, alpha=0.7, edgecolors='white')\n",
    "axes[1].axhline(y=0, color='gray', linestyle='--', alpha=0.5)\n",
    "for _, row in valid.iterrows():\n",
    "    axes[1].annotate(row['名称'], (row['股息率_TTM(%)'], row['1年总回报(%)']),\n",
    "                    xytext=(5, 5), textcoords='offset points', fontsize=8)\n",
    "axes[1].set_xlabel('当前股息率 TTM (%)', fontsize=12)\n",
    "axes[1].set_ylabel('近1年总回报 (%)', fontsize=12)\n",
    "axes[1].set_title('股息率 vs 近1年总回报（颜色=5年回报）', fontsize=13, fontweight='bold')\n",
    "cbar = plt.colorbar(sc, ax=axes[1])\n",
    "cbar.set_label('5年总回报(%)', fontsize=10)\n",
    "axes[1].grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-section4",
   "metadata": {},
   "source": [
    "---\n",
    "## Part 4: 分红可持续性 — 谁能持续高分红？\n",
    "\n",
    "> 高股息率的三个前提：① 利润真实（现金流支撑） ② 有分红意愿（历史记录） ③ 不牺牲成长"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "cell-sustainability",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== 分红可持续性综合评分 ===\n",
      "\n",
      "评分维度: 股息率(40%) + ROE(25%) + 利润增长(15%) + 低杠杆(20%)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>股息率_TTM(%)</th>\n",
       "      <th>ROE(%)</th>\n",
       "      <th>毛利率(%)</th>\n",
       "      <th>净利润CAGR(%)</th>\n",
       "      <th>资产负债率(%)</th>\n",
       "      <th>质量评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>白酒</td>\n",
       "      <td>4.32</td>\n",
       "      <td>10.60</td>\n",
       "      <td>89.80</td>\n",
       "      <td>0.30</td>\n",
       "      <td>12.10</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>迎驾贡酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>4.64</td>\n",
       "      <td>7.60</td>\n",
       "      <td>75.60</td>\n",
       "      <td>0.20</td>\n",
       "      <td>21.40</td>\n",
       "      <td>7.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>泸州老窖</td>\n",
       "      <td>白酒</td>\n",
       "      <td>7.61</td>\n",
       "      <td>7.30</td>\n",
       "      <td>85.80</td>\n",
       "      <td>-5.20</td>\n",
       "      <td>21.80</td>\n",
       "      <td>8.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>今世缘</td>\n",
       "      <td>白酒</td>\n",
       "      <td>4.83</td>\n",
       "      <td>8.00</td>\n",
       "      <td>74.40</td>\n",
       "      <td>-4.20</td>\n",
       "      <td>34.70</td>\n",
       "      <td>9.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>五粮液</td>\n",
       "      <td>白酒</td>\n",
       "      <td>7.80</td>\n",
       "      <td>6.50</td>\n",
       "      <td>81.40</td>\n",
       "      <td>-14.20</td>\n",
       "      <td>34.30</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>重庆啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>5.99</td>\n",
       "      <td>27.30</td>\n",
       "      <td>49.70</td>\n",
       "      <td>-1.90</td>\n",
       "      <td>68.70</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>3.22</td>\n",
       "      <td>12.70</td>\n",
       "      <td>75.00</td>\n",
       "      <td>-5.10</td>\n",
       "      <td>29.30</td>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>青岛啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>4.26</td>\n",
       "      <td>5.70</td>\n",
       "      <td>42.70</td>\n",
       "      <td>1.30</td>\n",
       "      <td>37.60</td>\n",
       "      <td>12.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>洋河股份</td>\n",
       "      <td>白酒</td>\n",
       "      <td>3.80</td>\n",
       "      <td>5.10</td>\n",
       "      <td>75.40</td>\n",
       "      <td>-9.40</td>\n",
       "      <td>18.20</td>\n",
       "      <td>12.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>会稽山</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.10</td>\n",
       "      <td>61.60</td>\n",
       "      <td>6.40</td>\n",
       "      <td>18.50</td>\n",
       "      <td>13.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>金徽酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>3.39</td>\n",
       "      <td>5.90</td>\n",
       "      <td>62.90</td>\n",
       "      <td>-3.60</td>\n",
       "      <td>35.50</td>\n",
       "      <td>14.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>燕京啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>2.67</td>\n",
       "      <td>1.70</td>\n",
       "      <td>46.30</td>\n",
       "      <td>12.50</td>\n",
       "      <td>30.90</td>\n",
       "      <td>14.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>伊力特</td>\n",
       "      <td>白酒</td>\n",
       "      <td>4.53</td>\n",
       "      <td>2.70</td>\n",
       "      <td>51.50</td>\n",
       "      <td>-7.30</td>\n",
       "      <td>37.80</td>\n",
       "      <td>15.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>水井坊</td>\n",
       "      <td>白酒</td>\n",
       "      <td>3.49</td>\n",
       "      <td>3.30</td>\n",
       "      <td>79.80</td>\n",
       "      <td>-2.60</td>\n",
       "      <td>36.90</td>\n",
       "      <td>15.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>口子窖</td>\n",
       "      <td>白酒</td>\n",
       "      <td>2.68</td>\n",
       "      <td>3.10</td>\n",
       "      <td>67.60</td>\n",
       "      <td>-14.30</td>\n",
       "      <td>17.20</td>\n",
       "      <td>15.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>珠江啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>2.44</td>\n",
       "      <td>1.60</td>\n",
       "      <td>49.60</td>\n",
       "      <td>3.00</td>\n",
       "      <td>30.60</td>\n",
       "      <td>16.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>永顺泰</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>2.79</td>\n",
       "      <td>0.90</td>\n",
       "      <td>7.70</td>\n",
       "      <td>-17.30</td>\n",
       "      <td>11.70</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>老白干酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>1.79</td>\n",
       "      <td>3.10</td>\n",
       "      <td>64.10</td>\n",
       "      <td>2.10</td>\n",
       "      <td>38.20</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>百润股份</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>1.73</td>\n",
       "      <td>4.30</td>\n",
       "      <td>70.30</td>\n",
       "      <td>4.50</td>\n",
       "      <td>39.50</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>张裕A</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>1.53</td>\n",
       "      <td>1.40</td>\n",
       "      <td>57.10</td>\n",
       "      <td>-2.00</td>\n",
       "      <td>12.00</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称   行业  股息率_TTM(%)  ROE(%)  毛利率(%)  净利润CAGR(%)  资产负债率(%)  质量评分\n",
       "6   贵州茅台   白酒        4.32   10.60   89.80        0.30     12.10  6.00\n",
       "4   迎驾贡酒   白酒        4.64    7.60   75.60        0.20     21.40  7.00\n",
       "1   泸州老窖   白酒        7.61    7.30   85.80       -5.20     21.80  8.00\n",
       "3    今世缘   白酒        4.83    8.00   74.40       -4.20     34.70  9.00\n",
       "0    五粮液   白酒        7.80    6.50   81.40      -14.20     34.30 10.00\n",
       "2   重庆啤酒   啤酒        5.99   27.30   49.70       -1.90     68.70 10.00\n",
       "11  山西汾酒   白酒        3.22   12.70   75.00       -5.10     29.30 11.00\n",
       "7   青岛啤酒   啤酒        4.26    5.70   42.70        1.30     37.60 12.00\n",
       "8   洋河股份   白酒        3.80    5.10   75.40       -9.40     18.20 12.00\n",
       "16   会稽山  红黄酒        2.00    3.10   61.60        6.40     18.50 13.00\n",
       "10   金徽酒   白酒        3.39    5.90   62.90       -3.60     35.50 14.00\n",
       "14  燕京啤酒   啤酒        2.67    1.70   46.30       12.50     30.90 14.00\n",
       "5    伊力特   白酒        4.53    2.70   51.50       -7.30     37.80 15.00\n",
       "9    水井坊   白酒        3.49    3.30   79.80       -2.60     36.90 15.00\n",
       "13   口子窖   白酒        2.68    3.10   67.60      -14.30     17.20 15.00\n",
       "15  珠江啤酒   啤酒        2.44    1.60   49.60        3.00     30.60 16.00\n",
       "12   永顺泰   啤酒        2.79    0.90    7.70      -17.30     11.70 17.00\n",
       "17  老白干酒   白酒        1.79    3.10   64.10        2.10     38.20 17.00\n",
       "18  百润股份  红黄酒        1.73    4.30   70.30        4.50     39.50 17.00\n",
       "19   张裕A  红黄酒        1.53    1.40   57.10       -2.00     12.00 17.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 从财务指标分析分红可持续性\n",
    "dm = DataManager(read_only=True)\n",
    "\n",
    "sustainability = []\n",
    "for _, row in df_normal.iterrows():\n",
    "    code = row['代码']\n",
    "    name = row['名称']\n",
    "    industry = row['行业']\n",
    "    \n",
    "    # 最新财务指标\n",
    "    fin = dm.storage.conn.execute(\"\"\"\n",
    "        SELECT end_date, roe, roa, grossprofit_margin, netprofit_margin, \n",
    "               debt_to_assets, current_ratio, eps\n",
    "        FROM fina_indicator\n",
    "        WHERE ts_code = ? AND roe IS NOT NULL\n",
    "        ORDER BY end_date DESC LIMIT 3\n",
    "    \"\"\", [code]).fetchall()\n",
    "    \n",
    "    # 利润表数据\n",
    "    inc = dm.storage.conn.execute(\"\"\"\n",
    "        SELECT end_date, revenue, n_income\n",
    "        FROM income WHERE ts_code = ? AND report_type = '1'\n",
    "        ORDER BY end_date DESC LIMIT 5\n",
    "    \"\"\", [code]).fetchall()\n",
    "    \n",
    "    if len(fin) > 0 and len(inc) >= 2:\n",
    "        latest_fin = fin[0]\n",
    "        \n",
    "        # 计算利润增速\n",
    "        ni_values = [float(x[2]) if x[2] and float(x[2]) != 0 else None for x in inc]\n",
    "        ni_values = [x for x in ni_values if x is not None and x > 0]\n",
    "        \n",
    "        ni_growth = None\n",
    "        if len(ni_values) >= 5:\n",
    "            ni_growth = ((ni_values[0] / ni_values[4]) ** (1/4) - 1) * 100\n",
    "        elif len(ni_values) >= 3:\n",
    "            ni_growth = ((ni_values[0] / ni_values[2]) ** (1/2) - 1) * 100\n",
    "        \n",
    "        sustainability.append({\n",
    "            '代码': code, '名称': name, '行业': industry,\n",
    "            '股息率_TTM(%)': row['股息率_TTM(%)'],\n",
    "            'ROE(%)': round(latest_fin[1], 1) if latest_fin[1] else None,\n",
    "            '毛利率(%)': round(latest_fin[3], 1) if latest_fin[3] else None,\n",
    "            '净利率(%)': round(latest_fin[4], 1) if latest_fin[4] else None,\n",
    "            '资产负债率(%)': round(latest_fin[5], 1) if latest_fin[5] else None,\n",
    "            'EPS': round(latest_fin[7], 2) if latest_fin[7] else None,\n",
    "            '净利润CAGR(%)': round(ni_growth, 1) if ni_growth else None,\n",
    "        })\n",
    "\n",
    "dm.close()\n",
    "\n",
    "sus_df = pd.DataFrame(sustainability).sort_values('股息率_TTM(%)', ascending=False)\n",
    "\n",
    "# 综合评分：股息率 + ROE + 成长性 + 低杠杆\n",
    "sus_df['质量评分'] = (\n",
    "    sus_df['股息率_TTM(%)'].rank(ascending=False) * 0.40 +\n",
    "    sus_df['ROE(%)'].rank(ascending=False) * 0.25 +\n",
    "    sus_df['净利润CAGR(%)'].fillna(0).rank(ascending=False) * 0.15 +\n",
    "    sus_df['资产负债率(%)'].rank() * 0.20  # 杠杆越低越好\n",
    ").round(0)\n",
    "\n",
    "print(\"=== 分红可持续性综合评分 ===\")\n",
    "print(f\"\\n评分维度: 股息率(40%) + ROE(25%) + 利润增长(15%) + 低杠杆(20%)\")\n",
    "display(sus_df.nsmallest(20, '质量评分')[['名称', '行业', '股息率_TTM(%)', 'ROE(%)', '毛利率(%)', \n",
    "                                          '净利润CAGR(%)', '资产负债率(%)', '质量评分']])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cell-sus-chart",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化：质量评分 vs 股息率\n",
    "fig, ax = plt.subplots(figsize=(14, 8))\n",
    "\n",
    "top_quality = sus_df.nsmallest(20, '质量评分')\n",
    "colors = ['#C62828' if ind == '白酒' else '#1565C0' if ind == '啤酒' else '#F9A825' \n",
    "          for ind in top_quality['行业']]\n",
    "\n",
    "bars = ax.barh(range(len(top_quality)), top_quality['股息率_TTM(%)'], color=colors, alpha=0.7, edgecolor='white')\n",
    "ax.set_yticks(range(len(top_quality)))\n",
    "ax.set_yticklabels([f\"{n} #{s:.0f}\" for n, s in zip(top_quality['名称'], top_quality['质量评分'])], fontsize=10)\n",
    "ax.invert_yaxis()\n",
    "ax.set_xlabel('股息率 TTM (%)', fontsize=12, fontweight='bold')\n",
    "ax.set_title('综合质量评分 TOP 20（#越小越好）', fontsize=14, fontweight='bold')\n",
    "\n",
    "# 添加 ROE 标注\n",
    "for i, (_, row) in enumerate(top_quality.iterrows()):\n",
    "    ax.text(row['股息率_TTM(%)'] + 0.1, i, \n",
    "            f\"ROE:{row['ROE(%)']:.0f}% 杠杆:{row['资产负债率(%)']:.0f}%\", \n",
    "            va='center', fontsize=8, color='gray')\n",
    "\n",
    "ax.grid(True, alpha=0.3, axis='x')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-section5",
   "metadata": {},
   "source": [
    "---\n",
    "## Part 5: 现在买哪个？— 多维决策矩阵\n",
    "\n",
    "> 综合 **股息率** + **总回报** + **质量** + **估值** 四个维度，给出当前最优选择"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "cell-decision",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "================================================================================\n",
      "🏆 酒类分红投资综合排名 TOP 20\n",
      "评分维度: 股息率(30%) + 历史总回报(25%) + 质量(25%) + 低估(20%)\n",
      "================================================================================\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>最新收盘价</th>\n",
       "      <th>股息率_TTM(%)</th>\n",
       "      <th>PE_TTM</th>\n",
       "      <th>ROE(%)</th>\n",
       "      <th>毛利率(%)</th>\n",
       "      <th>5年总回报(%)</th>\n",
       "      <th>决策评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>迎驾贡酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>32.31</td>\n",
       "      <td>4.64</td>\n",
       "      <td>13.00</td>\n",
       "      <td>7.60</td>\n",
       "      <td>75.60</td>\n",
       "      <td>-39.40</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>泸州老窖</td>\n",
       "      <td>白酒</td>\n",
       "      <td>78.18</td>\n",
       "      <td>7.61</td>\n",
       "      <td>11.60</td>\n",
       "      <td>7.30</td>\n",
       "      <td>85.80</td>\n",
       "      <td>-49.90</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>重庆啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>41.75</td>\n",
       "      <td>5.99</td>\n",
       "      <td>16.90</td>\n",
       "      <td>27.30</td>\n",
       "      <td>49.70</td>\n",
       "      <td>-45.00</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>今世缘</td>\n",
       "      <td>白酒</td>\n",
       "      <td>24.85</td>\n",
       "      <td>4.83</td>\n",
       "      <td>13.20</td>\n",
       "      <td>8.00</td>\n",
       "      <td>74.40</td>\n",
       "      <td>-46.90</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>白酒</td>\n",
       "      <td>1204.98</td>\n",
       "      <td>4.32</td>\n",
       "      <td>18.20</td>\n",
       "      <td>10.60</td>\n",
       "      <td>89.80</td>\n",
       "      <td>-20.10</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>五粮液</td>\n",
       "      <td>白酒</td>\n",
       "      <td>73.69</td>\n",
       "      <td>7.80</td>\n",
       "      <td>22.70</td>\n",
       "      <td>6.50</td>\n",
       "      <td>81.40</td>\n",
       "      <td>-46.90</td>\n",
       "      <td>7.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>青岛啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>51.59</td>\n",
       "      <td>4.26</td>\n",
       "      <td>15.00</td>\n",
       "      <td>5.70</td>\n",
       "      <td>42.70</td>\n",
       "      <td>-35.70</td>\n",
       "      <td>8.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>燕京啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>10.85</td>\n",
       "      <td>2.67</td>\n",
       "      <td>17.20</td>\n",
       "      <td>1.70</td>\n",
       "      <td>46.30</td>\n",
       "      <td>4.20</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>金徽酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>14.63</td>\n",
       "      <td>3.39</td>\n",
       "      <td>22.80</td>\n",
       "      <td>5.90</td>\n",
       "      <td>62.90</td>\n",
       "      <td>-33.40</td>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>111.74</td>\n",
       "      <td>3.22</td>\n",
       "      <td>12.40</td>\n",
       "      <td>12.70</td>\n",
       "      <td>75.00</td>\n",
       "      <td>-51.80</td>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>珠江啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>7.79</td>\n",
       "      <td>2.44</td>\n",
       "      <td>18.60</td>\n",
       "      <td>1.60</td>\n",
       "      <td>49.60</td>\n",
       "      <td>6.10</td>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>会稽山</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>14.74</td>\n",
       "      <td>2.00</td>\n",
       "      <td>26.10</td>\n",
       "      <td>3.10</td>\n",
       "      <td>61.60</td>\n",
       "      <td>25.70</td>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>伊力特</td>\n",
       "      <td>白酒</td>\n",
       "      <td>9.93</td>\n",
       "      <td>4.53</td>\n",
       "      <td>26.50</td>\n",
       "      <td>2.70</td>\n",
       "      <td>51.50</td>\n",
       "      <td>-49.10</td>\n",
       "      <td>13.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>洋河股份</td>\n",
       "      <td>白酒</td>\n",
       "      <td>38.65</td>\n",
       "      <td>3.80</td>\n",
       "      <td>57.30</td>\n",
       "      <td>5.10</td>\n",
       "      <td>75.40</td>\n",
       "      <td>-53.40</td>\n",
       "      <td>14.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>永顺泰</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>8.59</td>\n",
       "      <td>2.79</td>\n",
       "      <td>21.70</td>\n",
       "      <td>0.90</td>\n",
       "      <td>7.70</td>\n",
       "      <td>-48.70</td>\n",
       "      <td>15.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>口子窖</td>\n",
       "      <td>白酒</td>\n",
       "      <td>18.64</td>\n",
       "      <td>2.68</td>\n",
       "      <td>28.50</td>\n",
       "      <td>3.10</td>\n",
       "      <td>67.60</td>\n",
       "      <td>-48.50</td>\n",
       "      <td>15.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>水井坊</td>\n",
       "      <td>白酒</td>\n",
       "      <td>27.60</td>\n",
       "      <td>3.49</td>\n",
       "      <td>34.80</td>\n",
       "      <td>3.30</td>\n",
       "      <td>79.80</td>\n",
       "      <td>-57.20</td>\n",
       "      <td>16.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>百润股份</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>17.29</td>\n",
       "      <td>1.73</td>\n",
       "      <td>26.80</td>\n",
       "      <td>4.30</td>\n",
       "      <td>70.30</td>\n",
       "      <td>-45.10</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>古越龙山</td>\n",
       "      <td>红黄酒</td>\n",
       "      <td>7.65</td>\n",
       "      <td>1.15</td>\n",
       "      <td>30.90</td>\n",
       "      <td>1.10</td>\n",
       "      <td>40.30</td>\n",
       "      <td>-15.40</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>惠泉啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>8.97</td>\n",
       "      <td>1.11</td>\n",
       "      <td>27.40</td>\n",
       "      <td>0.60</td>\n",
       "      <td>32.90</td>\n",
       "      <td>-10.80</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称   行业   最新收盘价  股息率_TTM(%)  PE_TTM  ROE(%)  毛利率(%)  5年总回报(%)  决策评分\n",
       "0   迎驾贡酒   白酒   32.31        4.64   13.00    7.60   75.60    -39.40  5.00\n",
       "1   泸州老窖   白酒   78.18        7.61   11.60    7.30   85.80    -49.90  6.00\n",
       "2   重庆啤酒   啤酒   41.75        5.99   16.90   27.30   49.70    -45.00  6.00\n",
       "3    今世缘   白酒   24.85        4.83   13.20    8.00   74.40    -46.90  6.00\n",
       "4   贵州茅台   白酒 1204.98        4.32   18.20   10.60   89.80    -20.10  6.00\n",
       "5    五粮液   白酒   73.69        7.80   22.70    6.50   81.40    -46.90  7.00\n",
       "6   青岛啤酒   啤酒   51.59        4.26   15.00    5.70   42.70    -35.70  8.00\n",
       "7   燕京啤酒   啤酒   10.85        2.67   17.20    1.70   46.30      4.20 10.00\n",
       "8    金徽酒   白酒   14.63        3.39   22.80    5.90   62.90    -33.40 11.00\n",
       "9   山西汾酒   白酒  111.74        3.22   12.40   12.70   75.00    -51.80 11.00\n",
       "10  珠江啤酒   啤酒    7.79        2.44   18.60    1.60   49.60      6.10 11.00\n",
       "11   会稽山  红黄酒   14.74        2.00   26.10    3.10   61.60     25.70 11.00\n",
       "12   伊力特   白酒    9.93        4.53   26.50    2.70   51.50    -49.10 13.00\n",
       "13  洋河股份   白酒   38.65        3.80   57.30    5.10   75.40    -53.40 14.00\n",
       "14   永顺泰   啤酒    8.59        2.79   21.70    0.90    7.70    -48.70 15.00\n",
       "15   口子窖   白酒   18.64        2.68   28.50    3.10   67.60    -48.50 15.00\n",
       "16   水井坊   白酒   27.60        3.49   34.80    3.30   79.80    -57.20 16.00\n",
       "17  百润股份  红黄酒   17.29        1.73   26.80    4.30   70.30    -45.10 17.00\n",
       "18  古越龙山  红黄酒    7.65        1.15   30.90    1.10   40.30    -15.40 17.00\n",
       "19  惠泉啤酒   啤酒    8.97        1.11   27.40    0.60   32.90    -10.80 17.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 合并所有数据，构建决策矩阵\n",
    "decision = df_normal[['代码', '名称', '行业', '最新收盘价', '股息率_TTM(%)', 'PE_TTM', 'PB', '总市值(亿)']].copy()\n",
    "\n",
    "# 合并总回报数据\n",
    "tr_merge = tr_df[['代码', '1年总回报(%)', '3年总回报(%)', '5年总回报(%)']].copy()\n",
    "decision = decision.merge(tr_merge, on='代码', how='left')\n",
    "\n",
    "# 合并可持续性数据\n",
    "sus_merge = sus_df[['代码', 'ROE(%)', '毛利率(%)', '净利润CAGR(%)', '资产负债率(%)', '质量评分']].copy()\n",
    "decision = decision.merge(sus_merge, on='代码', how='left')\n",
    "\n",
    "# 综合决策评分：\n",
    "# - 当前股息率（权重30%）—— 越高的当期现金回报\n",
    "# - 5年总回报（权重25%）—— 历史总回报验证\n",
    "# - 质量评分逆序（权重25%）—— 分红可持续性\n",
    "# - PE倒数（权重20%）—— 估值越低越好\n",
    "\n",
    "decision_valid = decision.dropna(subset=['股息率_TTM(%)', 'ROE(%)']).copy()\n",
    "decision_valid = decision_valid[decision_valid['PE_TTM'].notna() & (decision_valid['PE_TTM'] > 0) & (decision_valid['PE_TTM'] < 200)]\n",
    "\n",
    "# 5年回报缺失的用3年或1年替代，都没有则用0\n",
    "decision_valid['总回报参考'] = decision_valid['5年总回报(%)'].fillna(\n",
    "    decision_valid['3年总回报(%)'].fillna(\n",
    "        decision_valid['1年总回报(%)'].fillna(0)))\n",
    "\n",
    "decision_valid['决策评分'] = (\n",
    "    decision_valid['股息率_TTM(%)'].rank(ascending=False) * 0.30 +\n",
    "    decision_valid['总回报参考'].rank(ascending=False) * 0.25 +\n",
    "    decision_valid['质量评分'].rank() * 0.25 +  # 质量评分越小越好\n",
    "    decision_valid['PE_TTM'].rank() * 0.20  # PE越低越好\n",
    ").round(0)\n",
    "\n",
    "result = decision_valid.nsmallest(20, '决策评分').copy()\n",
    "\n",
    "print(\"=\" * 80)\n",
    "print(\"🏆 酒类分红投资综合排名 TOP 20\")\n",
    "print(\"评分维度: 股息率(30%) + 历史总回报(25%) + 质量(25%) + 低估(20%)\")\n",
    "print(\"=\" * 80)\n",
    "display(result[['名称', '行业', '最新收盘价', '股息率_TTM(%)', 'PE_TTM', \n",
    "               'ROE(%)', '毛利率(%)', '5年总回报(%)', '决策评分']].reset_index(drop=True))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cell-final-chart",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x800 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 最终可视化：决策矩阵气泡图\n",
    "fig, axes = plt.subplots(1, 2, figsize=(18, 8))\n",
    "\n",
    "top_result = result.head(12)\n",
    "\n",
    "# 图1: 股息率 vs 决策评分\n",
    "colors = ['#2E7D32' if s <= top_result['决策评分'].quantile(0.3) else \n",
    "          '#1565C0' if s <= top_result['决策评分'].quantile(0.7) else '#90A4AE'\n",
    "          for s in top_result['决策评分']]\n",
    "\n",
    "axes[0].barh(range(len(top_result)), top_result['股息率_TTM(%)'], color=colors, edgecolor='white')\n",
    "axes[0].set_yticks(range(len(top_result)))\n",
    "axes[0].set_yticklabels([f\"{n} ({ind})\" for n, ind in zip(top_result['名称'], top_result['行业'])], fontsize=10)\n",
    "axes[0].invert_yaxis()\n",
    "axes[0].set_xlabel('股息率 TTM (%)', fontweight='bold')\n",
    "axes[0].set_title('TOP 12 股息率对比', fontsize=14, fontweight='bold')\n",
    "for i, (_, row) in enumerate(top_result.iterrows()):\n",
    "    axes[0].text(row['股息率_TTM(%)'] + 0.1, i, \n",
    "                f\"PE:{row['PE_TTM']:.0f} ROE:{row['ROE(%)']:.0f}%\", \n",
    "                va='center', fontsize=8, color='gray')\n",
    "axes[0].grid(True, alpha=0.3, axis='x')\n",
    "\n",
    "# 图2: 5年总回报 vs 股息率 气泡图\n",
    "all_valid = decision_valid.dropna(subset=['5年总回报(%)'])\n",
    "sc = axes[1].scatter(all_valid['股息率_TTM(%)'], all_valid['5年总回报(%)'], \n",
    "                     s=all_valid['总市值(亿)'] / 10, alpha=0.6, \n",
    "                     c=all_valid['决策评分'], cmap='RdYlGn_r', edgecolors='white', linewidth=0.5)\n",
    "\n",
    "# 标注 TOP 10\n",
    "for _, row in result.head(10).iterrows():\n",
    "    if not pd.isna(row['5年总回报(%)']):\n",
    "        axes[1].annotate(row['名称'], (row['股息率_TTM(%)'], row['5年总回报(%)']),\n",
    "                        xytext=(5, 5), textcoords='offset points', fontsize=10, fontweight='bold',\n",
    "                        bbox=dict(boxstyle='round,pad=0.3', facecolor='yellow', alpha=0.3))\n",
    "\n",
    "axes[1].axhline(y=0, color='gray', linestyle='--', alpha=0.5)\n",
    "axes[1].set_xlabel('股息率 TTM (%)', fontsize=12, fontweight='bold')\n",
    "axes[1].set_ylabel('近5年总回报 (%)', fontsize=12, fontweight='bold')\n",
    "axes[1].set_title('股息率 × 历史总回报（气泡=市值，颜色=决策评分）', fontsize=13, fontweight='bold')\n",
    "cbar = plt.colorbar(sc, ax=axes[1])\n",
    "cbar.set_label('决策评分（越小越好）', fontsize=10)\n",
    "axes[1].grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-section6",
   "metadata": {},
   "source": [
    "---\n",
    "## Part 6: 细分赛道对比 — 白酒 vs 啤酒 vs 红黄酒"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cell-segment",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== 酒类细分赛道对比 ===\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>平均股息率</th>\n",
       "      <th>中位股息率</th>\n",
       "      <th>最高股息率</th>\n",
       "      <th>平均ROE</th>\n",
       "      <th>平均PE</th>\n",
       "      <th>平均毛利率</th>\n",
       "      <th>股票数</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>行业</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>啤酒</th>\n",
       "      <td>3.20</td>\n",
       "      <td>2.70</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.30</td>\n",
       "      <td>19.50</td>\n",
       "      <td>38.20</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>白酒</th>\n",
       "      <td>3.90</td>\n",
       "      <td>3.60</td>\n",
       "      <td>7.80</td>\n",
       "      <td>6.10</td>\n",
       "      <td>28.90</td>\n",
       "      <td>73.40</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>红黄酒</th>\n",
       "      <td>1.60</td>\n",
       "      <td>1.60</td>\n",
       "      <td>2.00</td>\n",
       "      <td>2.50</td>\n",
       "      <td>65.20</td>\n",
       "      <td>57.30</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     平均股息率  中位股息率  最高股息率  平均ROE  平均PE  平均毛利率  股票数\n",
       "行业                                               \n",
       "啤酒    3.20   2.70   6.00   6.30 19.50  38.20    6\n",
       "白酒    3.90   3.60   7.80   6.10 28.90  73.40   14\n",
       "红黄酒   1.60   1.60   2.00   2.50 65.20  57.30    4"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🏅 白酒赛道 TOP 3:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>股息率_TTM(%)</th>\n",
       "      <th>PE_TTM</th>\n",
       "      <th>ROE(%)</th>\n",
       "      <th>5年总回报(%)</th>\n",
       "      <th>决策评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>迎驾贡酒</td>\n",
       "      <td>4.64</td>\n",
       "      <td>13.00</td>\n",
       "      <td>7.60</td>\n",
       "      <td>-39.40</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>泸州老窖</td>\n",
       "      <td>7.61</td>\n",
       "      <td>11.60</td>\n",
       "      <td>7.30</td>\n",
       "      <td>-49.90</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>今世缘</td>\n",
       "      <td>4.83</td>\n",
       "      <td>13.20</td>\n",
       "      <td>8.00</td>\n",
       "      <td>-46.90</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     名称  股息率_TTM(%)  PE_TTM  ROE(%)  5年总回报(%)  决策评分\n",
       "4  迎驾贡酒        4.64   13.00    7.60    -39.40  5.00\n",
       "1  泸州老窖        7.61   11.60    7.30    -49.90  6.00\n",
       "3   今世缘        4.83   13.20    8.00    -46.90  6.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🏅 啤酒赛道 TOP 3:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>股息率_TTM(%)</th>\n",
       "      <th>PE_TTM</th>\n",
       "      <th>ROE(%)</th>\n",
       "      <th>5年总回报(%)</th>\n",
       "      <th>决策评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>重庆啤酒</td>\n",
       "      <td>5.99</td>\n",
       "      <td>16.90</td>\n",
       "      <td>27.30</td>\n",
       "      <td>-45.00</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>青岛啤酒</td>\n",
       "      <td>4.26</td>\n",
       "      <td>15.00</td>\n",
       "      <td>5.70</td>\n",
       "      <td>-35.70</td>\n",
       "      <td>8.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>燕京啤酒</td>\n",
       "      <td>2.67</td>\n",
       "      <td>17.20</td>\n",
       "      <td>1.70</td>\n",
       "      <td>4.20</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称  股息率_TTM(%)  PE_TTM  ROE(%)  5年总回报(%)  决策评分\n",
       "2   重庆啤酒        5.99   16.90   27.30    -45.00  6.00\n",
       "7   青岛啤酒        4.26   15.00    5.70    -35.70  8.00\n",
       "14  燕京啤酒        2.67   17.20    1.70      4.20 10.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "🏅 红黄酒赛道 TOP 3:\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>股息率_TTM(%)</th>\n",
       "      <th>PE_TTM</th>\n",
       "      <th>ROE(%)</th>\n",
       "      <th>5年总回报(%)</th>\n",
       "      <th>决策评分</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>会稽山</td>\n",
       "      <td>2.00</td>\n",
       "      <td>26.10</td>\n",
       "      <td>3.10</td>\n",
       "      <td>25.70</td>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>百润股份</td>\n",
       "      <td>1.73</td>\n",
       "      <td>26.80</td>\n",
       "      <td>4.30</td>\n",
       "      <td>-45.10</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>古越龙山</td>\n",
       "      <td>1.15</td>\n",
       "      <td>30.90</td>\n",
       "      <td>1.10</td>\n",
       "      <td>-15.40</td>\n",
       "      <td>17.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称  股息率_TTM(%)  PE_TTM  ROE(%)  5年总回报(%)  决策评分\n",
       "16   会稽山        2.00   26.10    3.10     25.70 11.00\n",
       "18  百润股份        1.73   26.80    4.30    -45.10 17.00\n",
       "24  古越龙山        1.15   30.90    1.10    -15.40 17.00"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 按行业分组统计\n",
    "segment_stats = decision_valid.groupby('行业').agg(\n",
    "    平均股息率=('股息率_TTM(%)', 'mean'),\n",
    "    中位股息率=('股息率_TTM(%)', 'median'),\n",
    "    最高股息率=('股息率_TTM(%)', 'max'),\n",
    "    平均ROE=('ROE(%)', 'mean'),\n",
    "    平均PE=('PE_TTM', 'mean'),\n",
    "    平均毛利率=('毛利率(%)', 'mean'),\n",
    "    股票数=('代码', 'count'),\n",
    ").round(1)\n",
    "\n",
    "print(\"=== 酒类细分赛道对比 ===\")\n",
    "display(segment_stats)\n",
    "\n",
    "# 各行业TOP3\n",
    "for ind in ['白酒', '啤酒', '红黄酒']:\n",
    "    subset = decision_valid[decision_valid['行业'] == ind].nsmallest(3, '决策评分')\n",
    "    if len(subset) > 0:\n",
    "        print(f\"\\n🏅 {ind}赛道 TOP 3:\")\n",
    "        display(subset[['名称', '股息率_TTM(%)', 'PE_TTM', 'ROE(%)', '5年总回报(%)', '决策评分']])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-section7",
   "metadata": {},
   "source": [
    "---\n",
    "## Part 7: 分红明细 — 最新一次真金白银分红\n",
    "\n",
    "> 从 Tushare 获取每只股票的实际现金分红金额"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "cell-detail",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "=== 最新一次实际现金分红 TOP 15 ===\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>名称</th>\n",
       "      <th>行业</th>\n",
       "      <th>最新每股分红(元)</th>\n",
       "      <th>收盘价</th>\n",
       "      <th>即时股息率(%)</th>\n",
       "      <th>近3次累计分红(元)</th>\n",
       "      <th>历史分红次数</th>\n",
       "      <th>除权日</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>今世缘</td>\n",
       "      <td>白酒</td>\n",
       "      <td>1.20</td>\n",
       "      <td>24.85</td>\n",
       "      <td>4.83</td>\n",
       "      <td>3.40</td>\n",
       "      <td>12</td>\n",
       "      <td>20260604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>迎驾贡酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>1.50</td>\n",
       "      <td>32.31</td>\n",
       "      <td>4.64</td>\n",
       "      <td>4.30</td>\n",
       "      <td>12</td>\n",
       "      <td>20260612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>青岛啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>2.35</td>\n",
       "      <td>51.59</td>\n",
       "      <td>4.56</td>\n",
       "      <td>6.55</td>\n",
       "      <td>28</td>\n",
       "      <td>20260716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>伊力特</td>\n",
       "      <td>白酒</td>\n",
       "      <td>0.45</td>\n",
       "      <td>9.93</td>\n",
       "      <td>4.53</td>\n",
       "      <td>1.25</td>\n",
       "      <td>27</td>\n",
       "      <td>20250703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>古井贡酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>3.40</td>\n",
       "      <td>79.79</td>\n",
       "      <td>4.26</td>\n",
       "      <td>9.40</td>\n",
       "      <td>26</td>\n",
       "      <td>20260717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>洋河股份</td>\n",
       "      <td>白酒</td>\n",
       "      <td>1.47</td>\n",
       "      <td>38.65</td>\n",
       "      <td>3.80</td>\n",
       "      <td>6.12</td>\n",
       "      <td>18</td>\n",
       "      <td>20260630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>水井坊</td>\n",
       "      <td>白酒</td>\n",
       "      <td>0.97</td>\n",
       "      <td>27.60</td>\n",
       "      <td>3.51</td>\n",
       "      <td>2.64</td>\n",
       "      <td>22</td>\n",
       "      <td>20250812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>五粮液</td>\n",
       "      <td>白酒</td>\n",
       "      <td>2.58</td>\n",
       "      <td>73.69</td>\n",
       "      <td>3.50</td>\n",
       "      <td>8.33</td>\n",
       "      <td>23</td>\n",
       "      <td>20260716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>山西汾酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>3.60</td>\n",
       "      <td>111.74</td>\n",
       "      <td>3.22</td>\n",
       "      <td>10.43</td>\n",
       "      <td>25</td>\n",
       "      <td>20250707</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>重庆啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>1.20</td>\n",
       "      <td>41.75</td>\n",
       "      <td>2.87</td>\n",
       "      <td>3.80</td>\n",
       "      <td>31</td>\n",
       "      <td>20260618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>永顺泰</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>0.24</td>\n",
       "      <td>8.59</td>\n",
       "      <td>2.79</td>\n",
       "      <td>0.64</td>\n",
       "      <td>4</td>\n",
       "      <td>20260625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>口子窖</td>\n",
       "      <td>白酒</td>\n",
       "      <td>0.50</td>\n",
       "      <td>18.64</td>\n",
       "      <td>2.68</td>\n",
       "      <td>3.30</td>\n",
       "      <td>11</td>\n",
       "      <td>20260703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>珠江啤酒</td>\n",
       "      <td>啤酒</td>\n",
       "      <td>0.19</td>\n",
       "      <td>7.79</td>\n",
       "      <td>2.44</td>\n",
       "      <td>0.48</td>\n",
       "      <td>15</td>\n",
       "      <td>20260612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>贵州茅台</td>\n",
       "      <td>白酒</td>\n",
       "      <td>28.02</td>\n",
       "      <td>1204.98</td>\n",
       "      <td>2.33</td>\n",
       "      <td>80.01</td>\n",
       "      <td>31</td>\n",
       "      <td>20260626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>金徽酒</td>\n",
       "      <td>白酒</td>\n",
       "      <td>0.30</td>\n",
       "      <td>14.63</td>\n",
       "      <td>2.05</td>\n",
       "      <td>0.80</td>\n",
       "      <td>12</td>\n",
       "      <td>20260604</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      名称  行业  最新每股分红(元)     收盘价  即时股息率(%)  近3次累计分红(元)  历史分红次数       除权日\n",
       "3    今世缘  白酒       1.20   24.85      4.83        3.40      12  20260604\n",
       "4   迎驾贡酒  白酒       1.50   32.31      4.64        4.30      12  20260612\n",
       "7   青岛啤酒  啤酒       2.35   51.59      4.56        6.55      28  20260716\n",
       "5    伊力特  白酒       0.45    9.93      4.53        1.25      27  20250703\n",
       "23  古井贡酒  白酒       3.40   79.79      4.26        9.40      26  20260717\n",
       "8   洋河股份  白酒       1.47   38.65      3.80        6.12      18  20260630\n",
       "9    水井坊  白酒       0.97   27.60      3.51        2.64      22  20250812\n",
       "0    五粮液  白酒       2.58   73.69      3.50        8.33      23  20260716\n",
       "11  山西汾酒  白酒       3.60  111.74      3.22       10.43      25  20250707\n",
       "2   重庆啤酒  啤酒       1.20   41.75      2.87        3.80      31  20260618\n",
       "12   永顺泰  啤酒       0.24    8.59      2.79        0.64       4  20260625\n",
       "13   口子窖  白酒       0.50   18.64      2.68        3.30      11  20260703\n",
       "15  珠江啤酒  啤酒       0.19    7.79      2.44        0.48      15  20260612\n",
       "6   贵州茅台  白酒      28.02 1204.98      2.33       80.01      31  20260626\n",
       "10   金徽酒  白酒       0.30   14.63      2.05        0.80      12  20260604"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "注意: 即时股息率 = 最新每股分红 / 当前股价\n",
      "      与 dv_ttm（过去12个月滚动股息率）可能不同，因分红频率和时点差异\n"
     ]
    }
   ],
   "source": [
    "# 获取实际分红数据\n",
    "import tushare as ts\n",
    "pro = ts.pro_api()\n",
    "\n",
    "dividend_detail = []\n",
    "for _, row in df_normal.iterrows():\n",
    "    code = row['代码']\n",
    "    name = row['名称']\n",
    "    \n",
    "    try:\n",
    "        div_df = pro.dividend(ts_code=code, fields='ts_code,end_date,cash_div,cash_div_tax,stk_div,ex_date,record_date')\n",
    "        if len(div_df) > 0:\n",
    "            # 找最近一次有实际现金分红且已除权的\n",
    "            valid = div_df[(div_df['cash_div'] > 0) & (div_df['ex_date'].notna())]\n",
    "            if len(valid) > 0:\n",
    "                latest = valid.iloc[0]\n",
    "                # 计算最近3年累计分红\n",
    "                recent_total = valid['cash_div'].head(3).sum() if len(valid) >= 3 else valid['cash_div'].sum()\n",
    "                dividend_detail.append({\n",
    "                    '名称': name,\n",
    "                    '代码': code,\n",
    "                    '行业': row['行业'],\n",
    "                    '最新每股分红(元)': round(latest['cash_div'], 2),\n",
    "                    '除权日': latest['ex_date'],\n",
    "                    '近3次累计分红(元)': round(recent_total, 2),\n",
    "                    '历史分红次数': len(valid),\n",
    "                    '收盘价': row['最新收盘价'],\n",
    "                    '即时股息率(%)': round(latest['cash_div'] / row['最新收盘价'] * 100, 2),\n",
    "                })\n",
    "    except Exception as e:\n",
    "        pass\n",
    "\n",
    "div_detail_df = pd.DataFrame(dividend_detail).sort_values('即时股息率(%)', ascending=False)\n",
    "\n",
    "print(\"=== 最新一次实际现金分红 TOP 15 ===\")\n",
    "display(div_detail_df.head(15)[['名称', '行业', '最新每股分红(元)', '收盘价', '即时股息率(%)', '近3次累计分红(元)', '历史分红次数', '除权日']])\n",
    "\n",
    "print(f\"\\n注意: 即时股息率 = 最新每股分红 / 当前股价\")\n",
    "print(f\"      与 dv_ttm（过去12个月滚动股息率）可能不同，因分红频率和时点差异\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cell-section8",
   "metadata": {},
   "source": [
    "---\n",
    "## Part 8: 结论 — 现在买哪个利益最大化？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cell-conclusion",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "======================================================================\n",
      "🎯 酒类分红投资 — 最终推荐\n",
      "======================================================================\n",
      "\n",
      "综合评分维度: 股息率 + 历史总回报 + 盈利能力(ROE) + 估值(PE)\n",
      "\n",
      "🥇 迎驾贡酒 (603198.SH) — 白酒\n",
      "   股息率: 4.64%  |  PE: 13  |  ROE: 8%\n",
      "   股价: 32.31元  |  市值: 258亿\n",
      "   5年总回报: -39%  |  毛利率: 76%\n",
      "\n",
      "🥈 泸州老窖 (000568.SZ) — 白酒\n",
      "   股息率: 7.61%  |  PE: 12  |  ROE: 7%\n",
      "   股价: 78.18元  |  市值: 1151亿\n",
      "   5年总回报: -50%  |  毛利率: 86%\n",
      "\n",
      "🥉 重庆啤酒 (600132.SH) — 啤酒\n",
      "   股息率: 5.99%  |  PE: 17  |  ROE: 27%\n",
      "   股价: 41.75元  |  市值: 202亿\n",
      "   5年总回报: -45%  |  毛利率: 50%\n",
      "\n",
      "4️⃣ 今世缘 (603369.SH) — 白酒\n",
      "   股息率: 4.83%  |  PE: 13  |  ROE: 8%\n",
      "   股价: 24.85元  |  市值: 310亿\n",
      "   5年总回报: -47%  |  毛利率: 74%\n",
      "\n",
      "5️⃣ 贵州茅台 (600519.SH) — 白酒\n",
      "   股息率: 4.32%  |  PE: 18  |  ROE: 11%\n",
      "   股价: 1204.98元  |  市值: 15063亿\n",
      "   5年总回报: -20%  |  毛利率: 90%\n",
      "\n",
      "----------------------------------------------------------------------\n",
      "\n",
      "📊 关键发现:\n",
      "\n",
      "1. 当期股息率最高: 五粮液 (7.80%)\n",
      "2. 5年总回报最高: 会稽山 (26%)\n",
      "3. ROE最高: 重庆啤酒 (27%)\n",
      "4. 白酒平均股息率 3.87% vs 啤酒平均 3.21%\n",
      "\n",
      "----------------------------------------------------------------------\n",
      "\n",
      "⚠️ 风险提示:\n",
      "  - 高股息可能伴随股价下跌（股息率=分红/股价）\n",
      "  - 需关注分红政策是否可持续（特别分红 vs 常规分红）\n",
      "  - 白酒行业面临消费趋势变化的长期风险\n",
      "  - 以上分析基于历史数据，不构成投资建议\n",
      "\n",
      "💡 建议策略:\n",
      "  - 核心仓位选 ROE高+分红稳的白酒龙头（如五粮液/泸州老窖/茅台）\n",
      "  - 卫星仓位配啤酒高息标的（如重庆啤酒）做股息增强\n",
      "  - 定期复盘：每季度重新运行本 notebook 更新数据\n"
     ]
    }
   ],
   "source": [
    "# 最终总结\n",
    "top5 = result.head(5)\n",
    "\n",
    "print(\"=\" * 70)\n",
    "print(\"🎯 酒类分红投资 — 最终推荐\")\n",
    "print(\"=\" * 70)\n",
    "print()\n",
    "print(\"综合评分维度: 股息率 + 历史总回报 + 盈利能力(ROE) + 估值(PE)\")\n",
    "print()\n",
    "\n",
    "for i, (_, row) in enumerate(top5.iterrows()):\n",
    "    medal = ['🥇', '🥈', '🥉', '4️⃣', '5️⃣'][i]\n",
    "    print(f\"{medal} {row['名称']} ({row['代码']}) — {row['行业']}\")\n",
    "    print(f\"   股息率: {row['股息率_TTM(%)']:.2f}%  |  PE: {row['PE_TTM']:.0f}  |  ROE: {row['ROE(%)']:.0f}%\")\n",
    "    print(f\"   股价: {row['最新收盘价']:.2f}元  |  市值: {row['总市值(亿)']:.0f}亿\")\n",
    "    if not pd.isna(row['5年总回报(%)']):\n",
    "        print(f\"   5年总回报: {row['5年总回报(%)']:.0f}%  |  毛利率: {row['毛利率(%)']:.0f}%\")\n",
    "    print()\n",
    "\n",
    "print(\"-\" * 70)\n",
    "print()\n",
    "print(\"📊 关键发现:\")\n",
    "print()\n",
    "\n",
    "# 找出股息率最高\n",
    "best_dv = df_normal.iloc[0]\n",
    "print(f\"1. 当期股息率最高: {best_dv['名称']} ({best_dv['股息率_TTM(%)']:.2f}%)\")\n",
    "\n",
    "# 找出5年总回报最高\n",
    "if '5年总回报(%)' in decision_valid.columns:\n",
    "    best_tr = decision_valid.dropna(subset=['5年总回报(%)']).nlargest(1, '5年总回报(%)').iloc[0]\n",
    "    print(f\"2. 5年总回报最高: {best_tr['名称']} ({best_tr['5年总回报(%)']:.0f}%)\")\n",
    "\n",
    "# 找出ROE最高\n",
    "best_roe = decision_valid.nlargest(1, 'ROE(%)').iloc[0]\n",
    "print(f\"3. ROE最高: {best_roe['名称']} ({best_roe['ROE(%)']:.0f}%)\")\n",
    "\n",
    "# 白酒平均 vs 啤酒平均\n",
    "baijiu_avg = decision_valid[decision_valid['行业']=='白酒']['股息率_TTM(%)'].mean()\n",
    "beer_avg = decision_valid[decision_valid['行业']=='啤酒']['股息率_TTM(%)'].mean()\n",
    "print(f\"4. 白酒平均股息率 {baijiu_avg:.2f}% vs 啤酒平均 {beer_avg:.2f}%\")\n",
    "\n",
    "print()\n",
    "print(\"-\" * 70)\n",
    "print()\n",
    "print(\"⚠️ 风险提示:\")\n",
    "print(\"  - 高股息可能伴随股价下跌（股息率=分红/股价）\")\n",
    "print(\"  - 需关注分红政策是否可持续（特别分红 vs 常规分红）\")\n",
    "print(\"  - 白酒行业面临消费趋势变化的长期风险\")\n",
    "print(\"  - 以上分析基于历史数据，不构成投资建议\")\n",
    "print()\n",
    "print(\"💡 建议策略:\")\n",
    "print(\"  - 核心仓位选 ROE高+分红稳的白酒龙头（如五粮液/泸州老窖/茅台）\")\n",
    "print(\"  - 卫星仓位配啤酒高息标的（如重庆啤酒）做股息增强\")\n",
    "print(\"  - 定期复盘：每季度重新运行本 notebook 更新数据\")"
   ]
  }
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