{"id":3165,"date":"2025-12-12T07:13:00","date_gmt":"2025-12-11T23:13:00","guid":{"rendered":"https:\/\/www.laoyulaoyu.com\/?p=3165"},"modified":"2025-12-15T15:36:35","modified_gmt":"2025-12-15T07:36:35","slug":"%e4%ba%a4%e6%98%93%e6%9c%9f%e6%9c%9b%e5%80%bc%ef%bc%9a%e5%86%b3%e5%ae%9a%e4%bd%a0%e8%83%bd%e5%90%a6%e5%9c%a8%e5%b8%82%e5%9c%ba%e4%b8%ad%e6%b4%bb%e4%b8%8b%e6%9d%a5%e7%9a%84%e5%85%b3%e9%94%ae%e6%8c%87","status":"publish","type":"post","link":"https:\/\/laoyulaoyu.com\/index.php\/2025\/12\/12\/%e4%ba%a4%e6%98%93%e6%9c%9f%e6%9c%9b%e5%80%bc%ef%bc%9a%e5%86%b3%e5%ae%9a%e4%bd%a0%e8%83%bd%e5%90%a6%e5%9c%a8%e5%b8%82%e5%9c%ba%e4%b8%ad%e6%b4%bb%e4%b8%8b%e6%9d%a5%e7%9a%84%e5%85%b3%e9%94%ae%e6%8c%87\/","title":{"rendered":"\u4ea4\u6613\u671f\u671b\u503c\uff1a\u51b3\u5b9a\u4f60\u80fd\u5426\u5728\u5e02\u573a\u4e2d\u6d3b\u4e0b\u6765\u7684\u5173\u952e\u6307\u6807\uff08\u5b8c\u6574\u6e90\u4ee3\u7801\uff09"},"content":{"rendered":"\n

\u4f5c\u8005\uff1a\u8001\u4f59\u635e\u9c7c<\/a><\/p>\n\n\n\n

\u539f\u521b\u4e0d\u6613\uff0c\u8f6c\u8f7d\u8bf7\u6807\u660e\u51fa\u5904\u53ca\u539f\u4f5c\u8005\u3002<\/mark><\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\n
\u5199\u5728\u524d\u9762\u7684\u8bdd\uff1a<\/strong>\u4f5c\u4e3a\u4e00\u4e2a\u5728\u91cf\u5316\u4ea4\u6613\u9886\u57df\u6478\u722c\u6eda\u6253\u591a\u5e74\u7684\u8001\u5175\uff0c\u6211\u89c1\u8fc7\u592a\u591a\u6295\u8d44\u8005\u9677\u5165\u4e00\u4e2a\u81f4\u547d\u8bef\u533a\uff1a\u8fc7\u5206\u5173\u6ce8\u80dc\u7387\uff0c\u5ffd\u7565\u4e86\u6700\u91cd\u8981\u7684\u6307\u6807\uff1a\u4ea4\u6613\u671f\u671b\u503c\u3002\u4eca\u5929\u6211\u8981\u544a\u8bc9\u4f60\u4e00\u4e2a\u53cd\u76f4\u89c9\u7684\u771f\u76f8\uff1a\u80dc\u738790%\u7684\u7b56\u7565\u53ef\u80fd\u8ba9\u4f60\u7206\u4ed3\uff0c\u800c\u80dc\u738740%\u7684\u7b56\u7565\u5374\u53ef\u80fd\u8ba9\u4f60\u7a33\u5b9a\u76c8\u5229<\/mark>\u3002\u672c\u6587\u5c06\u624b\u628a\u624b\u6559\u4f60\u8ba1\u7b97\u4ea4\u6613\u671f\u671b\u503c\uff0c\u5e76\u7ed9\u51fa\u5168\u4ee3\u7801\uff0c\u8ba9\u4f60\u771f\u6b63\u7406\u89e3\u4ec0\u4e48\u624d\u662f\u771f\u6b63\u8d5a\u94b1\u7684\u4ea4\u6613\u7cfb\u7edf\u3002<\/pre>\n<\/blockquote>\n\n\n\n
\u4e00\u3001\u4ec0\u4e48\u662f\u4ea4\u6613\u671f\u671b\u503c\uff1f<\/strong><\/h2>\n\n\n\n
\u4ea4\u6613\u671f\u671b\u503c\u662f\u7edf\u8ba1\u5b66\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u6982\u5ff5\uff0c\u5b83\u544a\u8bc9\u6211\u4eec\u5728\u5927\u91cf\u91cd\u590d\u7684\u4ea4\u6613\u4e2d\uff0c\u5e73\u5747\u6bcf\u7b14\u4ea4\u6613\u9884\u671f\u80fd\u8d5a\u591a\u5c11\u94b1<\/strong>\u3002\u8fd9\u4e2a\u6307\u6807\u6bd4\u5355\u7eaf\u7684\u80dc\u7387\u6216\u76c8\u4e8f\u6bd4\u66f4\u80fd\u53cd\u6620\u4e00\u4e2a\u4ea4\u6613\u7b56\u7565\u7684\u771f\u5b9e\u4ef7\u503c\u3002<\/p>\n\n\n\n
\u671f\u671b\u503c = (\u80dc\u7387 \u00d7 \u5e73\u5747\u76c8\u5229) – (\u8d25\u7387 \u00d7 \u5e73\u5747\u4e8f\u635f)<\/strong><\/p>\n\n\n\n
\u5176\u4e2d\uff1a\u8d25\u7387 = 1 – \u80dc\u7387<\/p>\n\n\n\n
\u4e3e\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a\u5982\u679c\u4f60\u7684\u4ea4\u6613\u7cfb\u7edf\u80dc\u7387\u662f50%\uff0c\u5e73\u5747\u76c8\u5229200\u5143\uff0c\u5e73\u5747\u4e8f\u635f100\u5143\uff0c\u90a3\u4e48\u671f\u671b\u503c\u4e3a\uff1a<\/p>\n\n\n\n
(0.5 \u00d7 200) – (0.5 \u00d7 100) = 100 – 50 = <\/strong>50\u5143<\/strong><\/p>\n\n\n\n
\ud83d\udca1<\/strong>\u5173\u952e\u6d1e\u5bdf<\/strong><\/p>\n\n\n\n
\u53ea\u8981\u671f\u671b\u503c\u662f\u6b63\u6570\uff0c\u4ece\u957f\u671f\u6765\u770b\u4f60\u7684\u4ea4\u6613\u7cfb\u7edf\u5c31\u662f\u6709\u5229\u53ef\u56fe\u7684\u3002\u53cd\u4e4b\uff0c\u5982\u679c\u671f\u671b\u503c\u662f\u8d1f\u6570\uff0c\u5373\u4f7f\u77ed\u671f\u6709\u76c8\u5229\uff0c\u6700\u7ec8\u4e5f\u4f1a\u4e8f\u635f\u3002<\/p>\n\n\n\n
\u4e8c\u3001\u80dc\u7387\u9ad8\u2260\u4e00\u5b9a\u8d5a\u94b1<\/strong><\/h2>\n\n\n\n
\u5f88\u591a\u6295\u8d44\u8005\u90fd\u6709\u4e00\u4e2a\u9519\u8bef\u8ba4\u77e5\uff1a\u8ba4\u4e3a\u80dc\u7387\u8d8a\u9ad8\u8d8a\u597d\u3002\u4f46\u4e8b\u5b9e\u4e0a\uff0c\u9ad8\u80dc\u7387\u4e0d\u7b49\u4e8e\u9ad8\u6536\u76ca<\/strong>\u3002\u8ba9\u6211\u7528\u4e24\u4e2a\u5177\u4f53\u7684\u7b56\u7565\u6765\u8bf4\u660e\u8fd9\u4e2a\u95ee\u9898\uff1a<\/p>\n\n\n\n
\ud83d\udcca <\/strong>\u7b56\u7565\u5bf9\u6bd4\u5206\u6790<\/strong><\/p>\n\n\n\n
\u7b56\u7565<\/th>\u80dc\u7387<\/th>\u5e73\u5747\u76c8\u5229<\/th>\u5e73\u5747\u4e8f\u635f<\/th>\u671f\u671b\u503c<\/th>\u957f\u671f\u7ed3\u679c<\/th><\/tr><\/thead>
\u7b56\u7565A<\/strong><\/td>90%<\/td>\u00a5100<\/td>\u00a51000<\/td>-\u00a510<\/td>\u957f\u671f\u4e8f\u635f<\/td><\/tr>
\u7b56\u7565B<\/strong><\/td>40%<\/td>\u00a5300<\/td>\u00a5100<\/td>+\u00a560<\/td>\u957f\u671f\u76c8\u5229<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
\u770b\u5230\u7ed3\u679c\u4e86\u5417\uff1f\u80dc\u738790%\u7684\u7b56\u7565A\u671f\u671b\u503c\u4e3a\u8d1f\uff0c\u957f\u671f\u6267\u884c\u53ea\u4f1a\u4e8f\u635f\uff1b\u800c\u80dc\u7387\u53ea\u670940%\u7684\u7b56\u7565B\u671f\u671b\u503c\u4e3a\u6b63\uff0c\u957f\u671f\u6267\u884c\u80fd\u591f\u7a33\u5b9a\u76c8\u5229<\/strong>\u3002\u8fd9\u5c31\u662f\u4ea4\u6613\u671f\u671b\u503c\u7684\u5a01\u529b\uff01<\/p>\n\n\n\n
\u26a0\ufe0f<\/strong>\u5e38\u89c1\u8bef\u533a<\/strong><\/p>\n\n\n\n
\u5f88\u591a\u6295\u8d44\u8005\u4e3a\u4e86\u8ffd\u6c42\u9ad8\u80dc\u7387\uff0c\u5f80\u5f80\u4f1a\u8fc7\u65e9\u6b62\u76c8\uff0c\u6216\u8005\u4e0d\u613f\u610f\u6b62\u635f\u3002\u8fd9\u79cd\u884c\u4e3a\u6a21\u5f0f\u867d\u7136\u80fd\u63d0\u9ad8\u80dc\u7387\uff0c\u4f46\u4f1a\u4e25\u91cd\u635f\u5bb3\u76c8\u4e8f\u6bd4\uff0c\u6700\u7ec8\u5bfc\u81f4\u671f\u671b\u503c\u4e3a\u8d1f\u3002<\/p>\n\n\n\n
\u4e09\u3001\u5982\u4f55\u8bc4\u4f30\u4f60\u7684\u4ea4\u6613\u7b56\u7565<\/strong><\/h2>\n\n\n\n
\u8981\u8bc4\u4f30\u4f60\u7684\u4ea4\u6613\u7b56\u7565\u662f\u5426\u6709\u5229\u53ef\u56fe\uff0c\u4f60\u9700\u8981\u6536\u96c6\u81f3\u5c1130\u7b14\u4ea4\u6613\u6570\u636e\uff0c\u7136\u540e\u6309\u7167\u4ee5\u4e0b\u6b65\u9aa4\u8fdb\u884c\u8ba1\u7b97\uff1a<\/p>\n\n\n\n
    \n
  1. \u8ba1\u7b97\u80dc\u7387 = \u76c8\u5229\u4ea4\u6613\u6b21\u6570 \u00f7 \u603b\u4ea4\u6613\u6b21\u6570<\/strong><\/li>\n\n\n\n
  2. \u8ba1\u7b97\u5e73\u5747\u76c8\u5229 = \u603b\u76c8\u5229\u91d1\u989d \u00f7 \u76c8\u5229\u4ea4\u6613\u6b21\u6570<\/strong><\/li>\n\n\n\n
  3. \u8ba1\u7b97\u5e73\u5747\u4e8f\u635f = \u603b\u4e8f\u635f\u91d1\u989d \u00f7 \u4e8f\u635f\u4ea4\u6613\u6b21\u6570<\/strong><\/li>\n\n\n\n
  4. \u8ba1\u7b97\u671f\u671b\u503c = (\u80dc\u7387 \u00d7 \u5e73\u5747\u76c8\u5229) – (\u8d25\u7387 \u00d7 \u5e73\u5747\u4e8f\u635f)<\/strong><\/li>\n<\/ol>\n\n\n\n
    \u9664\u4e86\u671f\u671b\u503c\uff0c\u4f60\u8fd8\u9700\u8981\u5173\u6ce8\u4ee5\u4e0b\u91cd\u8981\u6307\u6807\uff1a<\/p>\n\n\n\n
    \u6307\u6807<\/th>\u8ba1\u7b97\u516c\u5f0f<\/th>\u8bf4\u660e<\/th><\/tr><\/thead>
    \u5229\u6da6\u56e0\u5b50<\/strong><\/td>\u603b\u76c8\u5229 \u00f7 \u603b\u4e8f\u635f<\/td>\u5927\u4e8e1.5\u8f83\u597d\uff0c\u5927\u4e8e2\u4f18\u79c0<\/td><\/tr>
    \u6700\u5927\u56de\u64a4<\/strong><\/td>\u6700\u5927\u8d44\u91d1\u56de\u843d\u5e45\u5ea6<\/td>\u53cd\u6620\u7b56\u7565\u98ce\u9669\uff0c\u8d8a\u5c0f\u8d8a\u597d<\/td><\/tr>
    \u590f\u666e\u6bd4\u7387<\/strong><\/td>\u8d85\u989d\u6536\u76ca \u00f7 \u6536\u76ca\u6807\u51c6\u5dee<\/td>\u98ce\u9669\u8c03\u6574\u540e\u7684\u6536\u76ca<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
    \u56db\u3001\u624b\u628a\u624b\u4ee3\u7801\u6559\u5b66<\/strong><\/h2>\n\n\n\n
    \u4e0b\u9762\u6211\u5c06\u5206\u4eab\u4e00\u4e2aPython\u793a\u4f8b\u4ee3\u7801\uff0c\u5e2e\u52a9\u4f60\u81ea\u52a8\u8ba1\u7b97\u548c\u5206\u6790\u4ea4\u6613\u671f\u671b\u503c\u3002\u8fd9\u4e2a\u4ee3\u7801\u5305\u542b\u6570\u636e\u751f\u6210\u3001\u6307\u6807\u8ba1\u7b97\u3001\u53ef\u89c6\u5316\u5206\u6790\u7b49\u529f\u80fd\u3002<\/p>\n\n\n\n
    #!\/usr\/bin\/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\n\u4ea4\u6613\u671f\u671b\u503c\u8ba1\u7b97\u793a\u4f8b\u4ee3\u7801\n\u4f5c\u8005\uff1a\u8001\u4f59\u635e\u9c7c\n\u529f\u80fd\uff1a\u8ba1\u7b97\u548c\u5206\u6790\u4ea4\u6613\u7b56\u7565\u7684\u671f\u671b\u503c\u3001\u80dc\u7387\u3001\u76c8\u4e8f\u6bd4\u7b49\u5173\u952e\u6307\u6807\n\"\"\"\nimport pandas as pd\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom datetime import datetime, timedelta\nimport warnings\nwarnings.filterwarnings('ignore')\n# \u914d\u7f6ematplotlib\u652f\u6301\u4e2d\u6587\nfrom matplotlib import font_manager as fm\nfm.fontManager.__init__()\ncjk_list = ['CJK', 'Han', 'CN', 'TW', 'JP']\ncjk_fonts = [f.name for f in fm.fontManager.ttflist if any(s.lower() in f.name.lower() for s in cjk_list)]\nplt.rcParams['font.family'] = ['DejaVu Sans'] + cjk_fonts\nplt.rcParams['axes.unicode_minus'] = False\nclass TradingExpectancyCalculator:\n    \"\"\"\u4ea4\u6613\u671f\u671b\u503c\u8ba1\u7b97\u5668\"\"\"\n    def __init__(self):\n        self.trades_df = None\n        self.metrics = {}\n    def calculate_metrics(self, trades_df):\n        \"\"\"\u8ba1\u7b97\u671f\u671b\u503c\u76f8\u5173\u6307\u6807\"\"\"\n        self.trades_df = trades_df\n        total_trades = len(self.trades_df)\n        winning_trades = self.trades_df[self.trades_df['pnl'] > 0]\n        losing_trades = self.trades_df[self.trades_df['pnl'] <= 0]\n        # \u57fa\u7840\u6307\u6807\n        win_rate = len(winning_trades) \/ total_trades\n        # \u5e73\u5747\u76c8\u4e8f\n        avg_win = winning_trades['pnl'].mean() if len(winning_trades) > 0 else 0\n        avg_loss = abs(losing_trades['pnl'].mean()) if len(losing_trades) > 0 else 0\n        # \u671f\u671b\u503c\n        expectancy = (win_rate * avg_win) - ((1 - win_rate) * avg_loss)\n        # \u5229\u6da6\u56e0\u5b50\n        total_profit = winning_trades['pnl'].sum()\n        total_loss = abs(losing_trades['pnl'].sum())\n        profit_factor = total_profit \/ total_loss if total_loss > 0 else float('inf')\n        self.metrics = {\n            '\u603b\u4ea4\u6613\u6b21\u6570': total_trades,\n            '\u80dc\u7387': f\"{win_rate:.2%}\",\n            '\u5e73\u5747\u76c8\u5229': avg_win,\n            '\u5e73\u5747\u4e8f\u635f': avg_loss,\n            '\u76c8\u4e8f\u6bd4': f\"{avg_win\/avg_loss:.2f}:1\" if avg_loss > 0 else \"N\/A\",\n            '\u671f\u671b\u503c': expectancy,\n            '\u5229\u6da6\u56e0\u5b50': profit_factor,\n            '\u603b\u76c8\u5229': self.trades_df['pnl'].sum()\n        }\n        return self.metrics\ndef generate_sample_data(num_trades=100):\n    \"\"\"\u751f\u6210\u793a\u4f8b\u4ea4\u6613\u6570\u636e\"\"\"\n    np.random.seed(42)\n    # \u6a21\u62df\u4e00\u4e2a\u80dc\u738740%\uff0c\u76c8\u4e8f\u6bd42.5:1\u7684\u7b56\u7565\n    win_rate = 0.4\n    avg_win = 250\n    avg_loss = 100\n    trades = []\n    for i in range(num_trades):\n        is_win = np.random.random() < win_rate\n        if is_win:\n            pnl = np.random.normal(avg_win, 50)\n        else:\n            pnl = -np.random.normal(avg_loss, 20)\n        trades.append({\n            'trade_id': i + 1,\n            'pnl': round(pnl, 2)\n        })\n    return pd.DataFrame(trades)\n# \u4f7f\u7528\u793a\u4f8b\nif __name__ == \"__main__\":\n    # \u751f\u6210\u793a\u4f8b\u6570\u636e\n    trades_data = generate_sample_data(100)\n    # \u8ba1\u7b97\u6307\u6807\n    calculator = TradingExpectancyCalculator()\n    metrics = calculator.calculate_metrics(trades_data)\n    # \u6253\u5370\u7ed3\u679c\n    print(\"\u4ea4\u6613\u7b56\u7565\u671f\u671b\u503c\u5206\u6790\u62a5\u544a\")\n    print(\"=\" * 40)\n    for key, value in metrics.items():\n        if key in ['\u5e73\u5747\u76c8\u5229', '\u5e73\u5747\u4e8f\u635f', '\u671f\u671b\u503c', '\u603b\u76c8\u5229']:\n            print(f\"{key:10}: \u00a5{value:.2f}\")\n        elif key == '\u5229\u6da6\u56e0\u5b50':\n            print(f\"{key:10}: {value:.2f}\")\n        else:\n            print(f\"{key:10}: {value}\")<\/code><\/pre>\n\n\n\n
    \u8fd9\u6bb5\u4ee3\u7801\u5b9e\u73b0\u4e86\u4ee5\u4e0b\u529f\u80fd\uff1a<\/p>\n\n\n\n