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\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
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\u672c\u6587\u7ea6 2800 \u5b57 | \u9884\u8ba1\u9605\u8bfb 9\u5206\u949f\uff0c\u540e\u6709\u4ee3\u7801\uff0c\u5efa\u8bae\u5148\u6536\u85cf\u3002<\/p>\n\n\n\n

\u5148\u770b\u4e00\u7ec4\u6570\u5b57\u3002<\/p>\n\n\n\n

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\u628a\u8fd9 9 \u53ea\u7968\u6309 P\/E \u91cd\u65b0\u6392\uff0c\u8dcc\u7684\u90a3 3 \u53ea\u6b63\u597d\u4e5f\u662f\u699c\u5355\u6700\u8d35\u7684 3 \u53ea\u3002\u5269\u4e0b 6 \u53ea\u8d62\u5bb6\u7684 P\/E\uff0c\u6ca1\u6709\u4e00\u4e2a\u51b2\u8fc7 32\u3002<\/p>\n\n\n\n

\u628a\u8fd9\u5806\u6570\u636e\u7ffb\u5b8c\uff0c\u6700\u503c\u94b1\u7684\u4e00\u8bfe\u662f\u300c\u8fd9\u5957\u5c3a\u5b50\u6709\u4e2a\u76f2\u533a\u300d\u3002Buffett \u5389\u5bb3\u4e0d\u5389\u5bb3\uff0c\u8ddf\u4f60\u6211\u6ca1\u5173\u7cfb\u3002\u4e0b\u9762\u628a 6 \u4e2a\u6307\u6807\u30019 \u5f20\u6253\u5206\u8868\u3001\u534a\u5e74\u540e\u7684\u771f\u6da8\u8dcc\u62c6\u7ed9\u4f60\u770b\uff0c\u7ed3\u5c3e\u7ed9\u4f60\u4e00\u4e2a\u80fd\u9a6c\u4e0a\u62ff\u53bb\u7528\u7684\u5347\u7ea7\u7248\u3002<\/p>\n\n\n\n

\u4e00\u3001\u5df4\u83f2\u7279\u7684\u516d\u628a\u5c3a\u5b50<\/strong><\/h2>\n\n\n\n

\u5148\u628a\u516d\u4e2a\u6307\u6807\u8ba4\u5b8c\u3002\u6bcf\u4e2a\u90fd\u662f pass\/fail\uff0c\u8fc7\u7ebf\u52a0 1 \u5206\uff0c\u4e0d\u53ca\u683c\u5c31 0 \u5206\uff0c\u6ca1\u6709\u300c\u5dee\u4e00\u70b9\u4e5f\u7b97\u8fc7\u300d\u8fd9\u79cd\u7070\u5ea6\u3002<\/p>\n\n\n\n

\u8fd9 6 \u4e2a\u5206\u4e24\u7ec4\u3002\u5148\u662f\u770b\u516c\u53f8\u8d5a\u4e0d\u8d5a\u5f97\u5230\u94b1\u3002<\/p>\n\n\n\n

ROE<\/strong>\uff08\u51c0\u8d44\u4ea7\u6536\u76ca\u7387\uff09\uff1a\u80a1\u4e1c\u6295\u7684\u94b1\u4e00\u5e74\u80fd\u8d5a\u56de\u591a\u5c11\u3002\u9608\u503c 15%\u3002\u80fd\u7a33\u5b9a\u8d85\u8fc7 15% \u7684\u516c\u53f8\uff0c\u901a\u5e38\u662f\u5728\u67d0\u4e2a\u751f\u610f\u4e0a\u6709\u62a4\u57ce\u6cb3\u7684\u3002<\/p>\n\n\n\n

ROA<\/strong>\uff08\u603b\u8d44\u4ea7\u6536\u76ca\u7387\uff09\uff1a\u516c\u53f8\u628a\u5168\u90e8\u5bb6\u5f53\u90fd\u7528\u8d77\u6765\uff0c\u80fd\u8d5a\u56de\u591a\u5c11\u3002\u9608\u503c 7%\u3002\u6bd4 ROE \u4e25\uff0c\u56e0\u4e3a\u5b83\u628a\u6240\u6709\u8d1f\u503a\u4e5f\u7b97\u8fdb\u53bb\u4e86\u3002<\/p>\n\n\n\n

\u51c0\u5229\u7387<\/strong>\uff1a\u6bcf\u6536 100 \u5143\u8fdb\u8d26\uff0c\u6700\u540e\u843d\u888b\u591a\u5c11\u3002\u9608\u503c 20%\u3002\u6d88\u8d39\u54c1\u3001\u79d1\u6280\u5e73\u53f0\u3001SaaS \u8fd9\u79cd\u54c1\u724c\u578b\u751f\u610f\u5bb9\u6613\u8fc7\u8fd9\u6761\u7ebf\u3002<\/p>\n\n\n\n

\u518d\u770b\u516c\u53f8\u8d26\u7a33\u4e0d\u7a33\u3001\u4e70\u5f97\u8d35\u4e0d\u8d35\u3002<\/p>\n\n\n\n

D\/E<\/strong>\uff08\u8d1f\u503a\u6743\u76ca\u6bd4\uff09\uff1a\u501f\u7684\u94b1\u548c\u80a1\u4e1c\u7684\u94b1\u7684\u6bd4\u4f8b\u3002\u9608\u503c 0.5\u3002\u94f6\u884c\u3001\u4fdd\u9669\u672c\u8eab\u9760\u8d1f\u503a\u7ecf\u8425\uff0c\u8fd9\u9053\u7ebf\u5f97\u7ed9\u8fd9\u7c7b\u516c\u53f8\u5355\u72ec\u7559\u3002<\/p>\n\n\n\n

P\/E<\/strong>\uff08\u5e02\u76c8\u7387\uff09\uff1a\u6309\u5f53\u524d\u5229\u6da6\u591a\u5c11\u5e74\u56de\u672c\u3002\u9608\u503c 20\u3002\u540c\u4e00\u884c\u4e1a\u91cc P\/E \u8d8a\u4f4e\uff0c\u901a\u5e38\u610f\u5473\u7740\u5e02\u573a\u5bf9\u5b83\u7684\u9884\u671f\u8d8a\u4fdd\u5b88\u3002<\/p>\n\n\n\n

P\/B<\/strong>\uff08\u5e02\u51c0\u7387\uff09\uff1a\u5e02\u4ef7\u548c\u516c\u53f8\u51c0\u8d44\u4ea7\u7684\u6bd4\u3002\u9608\u503c 3\u3002\u8f7b\u8d44\u4ea7\u516c\u53f8\uff08\u5e02\u51c0\u7387\u5929\u7136\u9ad8\uff0c\u6bd4\u5982\u8f6f\u4ef6\u3001\u54c1\u724c\uff09\u5bb9\u6613\u6302\u5728\u8fd9\u91cc\u3002<\/p>\n\n\n\n

\"\"
\u516d\u7ef4\u6307\u6807\u901f\u89c8<\/figcaption><\/figure>\n\n\n\n

\u603b\u7ed3\u6210\u4e00\u53e5\u8bdd\uff0c\u5c31\u662f\u628a\u300c\u8fd9\u5bb6\u516c\u53f8\u503c\u4e0d\u503c\u300d\u7ffb\u8bd1\u6210\u516d\u4e2a\u5177\u4f53\u95ee\u9898\u3002\u6bcf\u4e2a\u95ee\u9898\u4e00\u5200\u5207\uff0c\u8981\u4e48 1 \u5206\u8981\u4e48 0 \u5206\u3002\u7b80\u5355\u7c97\u66b4\uff0c\u4f46\u597d\u5904\u662f\u4e0d\u540c\u884c\u4e1a\u80fd\u653e\u5728\u4e00\u5f20\u8868\u91cc\u6a2a\u5411\u6bd4\u3002<\/p>\n\n\n\n

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\u4e8c\u3001\u4e5d\u53ea\u7968\u5404\u80fd\u6253\u51e0\u5206<\/strong><\/strong><\/h2>\n\n\n\n

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\u6309\u516d\u7ef4\u91cc\u54ea\u4e9b\u9879\u8fc7\u54ea\u4e9b\u9879\u4e0d\u8fc7\uff0c\u516c\u5f00\u811a\u672c\u91cc\u90fd\u80fd\u67e5\u5230\u30029 \u53ea\u7968\u91cc\u6700\u9ad8\u7684\u662f\u82f9\u679c 5 \u5206\uff0c\u6700\u4f4e\u7684\u662f\u7279\u65af\u62c9 1 \u5206\u3002\u4e2d\u95f4 7 \u53ea\u90fd\u5728 2 \u5230 4 \u5206\u4e4b\u95f4\u3002\u6ca1\u6709\u4efb\u4f55\u4e00\u53ea\u7968\u62ff\u5230 6 \u5206\u6ee1\u5206\u3002<\/p>\n\n\n\n

\u5355\u4e00\u6307\u6807\u770b\uff0c9 \u53ea\u7968\u5168\u90e8\u8fc7\u4e86 ROE \u8fd9\u9053\uff0c8 \u53ea\u8fc7\u4e86 ROA\u3002\u5361\u5f97\u6700\u4e25\u7684\u662f P\/B \u548c P\/E\uff0c\u51e0\u53ea\u9ad8\u4f30\u7684\u7968\u5c31\u6302\u5728\u8fd9\u4e24\u6761\u4e0a\u3002<\/p>\n\n\n\n

\u5230\u8fd9\u91cc\u8fd8\u770b\u4e0d\u51fa\u4ec0\u4e48\u3002\u5206\u6570\u662f\u6b7b\u7684\uff0c\u534a\u5e74\u771f\u6da8\u8dcc\u624d\u662f\u8003\u9a8c\u3002<\/p>\n\n\n\n

\u4e09\u3001\u534a\u5e74\u540e\u771f\u6da8\u8dcc<\/strong><\/h2>\n\n\n\n

\u56de\u6d4b\u7a97\u53e3\u662f 2026 \u5e74 3 \u6708 1 \u65e5\u5230 9 \u6708 22 \u65e5\uff0c\u5dee\u4e0d\u591a 6 \u4e2a\u534a\u6708\u3002\u628a\u6bcf\u53ea\u7968\u7684\u8d77\u70b9\u62c9\u5230 100\uff0c\u7ec8\u70b9\u5bf9\u4e00\u4e0b\u5b9e\u9645\u80a1\u4ef7\u3002<\/p>\n\n\n\n

\u6570\u5b57\u5982\u4e0b\u3002<\/p>\n\n\n\n

\u80a1\u7968<\/th>\u8d77\u70b9\uff083\/1\uff09<\/th>\u7ec8\u70b9\uff089\/22\uff09<\/th>\u6da8\u5e45<\/th><\/tr>
AAPL<\/td>100<\/td>127.2<\/td>+27.2%<\/td><\/tr>
MSFT<\/td>100<\/td>124.4<\/td>+24.4%<\/td><\/tr>
JPM<\/td>100<\/td>118.65<\/td>+18.65%<\/td><\/tr>
V<\/td>100<\/td>115.36<\/td>+15.36%<\/td><\/tr>
GOOGL<\/td>100<\/td>114.26<\/td>+14.26%<\/td><\/tr>
KO<\/td>100<\/td>112.15<\/td>+12.15%<\/td><\/tr>
WMT<\/td>100<\/td>84.51<\/td>-15.49%<\/td><\/tr>
COST<\/td>100<\/td>89.56<\/td>-10.44%<\/td><\/tr>
TSLA<\/td>100<\/td>90.32<\/td>-9.68%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

6 \u53ea\u6da8\u30013 \u53ea\u8dcc\u3002\u8d62\u5bb6\u91cc\u6700\u731b\u7684\u662f\u82f9\u679c +27.2%\uff0c\u8f93\u5bb6\u91cc\u6700\u60e8\u7684\u662f\u6c83\u5c14\u739b -15.49%\u3002<\/p>\n\n\n\n

\u6563\u70b9\u56fe\u66f4\u76f4\u89c2\u3002<\/p>\n\n\n\n

\"\"
\u4e5d\u53ea\u7968\u7684\u5f97\u5206 vs \u534a\u5e74\u6da8\u5e45<\/figcaption><\/figure>\n\n\n\n

\u5f97\u5206\u6863\u4f4d\u548c\u534a\u5e74\u6da8\u5e45\u80fd\u770b\u51fa\u660e\u663e\u5206\u5c42\u3002\u603b\u5206 3 \u4ee5\u4e0a\u7684 7 \u53ea\u7968\u91cc\uff0c6 \u53ea\u6b63\u6536\u76ca\uff0c\u53ea\u6709 COST \u4e00\u53ea\u4f8b\u5916\u3002\u603b\u5206 2 \u4ee5\u4e0b\u7684 2 \u53ea\u7968\uff0c\u5168\u90e8\u8d1f\u6536\u76ca\u3002<\/p>\n\n\n\n

\u8fd9\u5957\u5c3a\u5b50\u80fd\u5206\u51fa\u597d\u574f\uff0c\u5230\u8fd9\u4e00\u6b65\u80fd\u770b\u51fa\u6765\u4e86\u3002<\/p>\n\n\n\n

\u4f46\u6709\u4e00\u4e2a\u70b9\u4e0d\u6b63\u5e38\u3002COST \u57fa\u672c\u9762 3 \u5206\uff0c\u843d\u5728\u8d62\u5bb6\u90a3\u4e00\u6863\u91cc\u3002\u534a\u5e74\u5374\u8dcc\u4e86 10.44%\uff0c\u8ddf\u8f93\u5bb6\u7ad9\u4e00\u6392\u3002\u8fd9\u662f\u5fc5\u987b\u6316\u7684\u3002<\/p>\n\n\n\n

\u56db\u3001\u90a3\u4e2a\u6253\u7834\u89c4\u5f8b\u7684\u5bb6\u4f19<\/strong><\/h2>\n\n\n\n

COST \u5c31\u662f\u90a3\u53ea\u6253\u7834\u89c4\u5f8b\u7684\u7968\u3002\u5b83\u7684\u57fa\u672c\u9762 3 \u5206\uff0c\u8ddf\u82f9\u679c\u3001\u6469\u6839\u3001\u7ef4\u8428\u3001\u8c37\u6b4c\u3001\u53ef\u53e3\u53ef\u4e50\u8fd9\u4e9b\u8d62\u5bb6\u7ad9\u540c\u4e00\u6863\u3002<\/p>\n\n\n\n

\u5b83\u8f93\u5728\u4ef7\u683c\u4e0a\u3002<\/p>\n\n\n\n

\u6253\u5206\u90a3\u4e00\u523b\uff0cCOST \u7684 P\/E \u8d85\u8fc7 50\uff0cP\/B \u8d85\u8fc7 13\u3002\u6bd4 P\/E \u90a3\u9053\u9608\u503c 20 \u9ad8\u4e86\u4e00\u500d\u591a\uff0c\u6bd4 P\/B \u7684\u9608\u503c 3 \u9ad8\u4e86\u4e09\u500d\u591a\u3002\u6309\u89c4\u5219\uff0c\u8fd9\u4e24\u9879\u90fd\u8be5\u662f 0 \u5206\u3002\u4f46 COST \u7684 ROE \u9ad8\u3001\u51c0\u5229\u7387\u9ad8\u3001\u8d1f\u503a\u4f4e\uff0c\u786c\u662f\u9760\u5176\u4ed6 4 \u9879\u8fc7\u7ebf\uff0c\u628a\u603b\u5206\u62ac\u5230\u4e86 3 \u5206\u3002<\/p>\n\n\n\n

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\u534a\u5e74\u540e COST \u8dcc\u4e86 10.44%\uff0c\u5e02\u573a\u7ed9\u7684\u4fe1\u53f7\u5151\u73b0\u4e86\u3002<\/p>\n\n\n\n

\u7279\u65af\u62c9\u66f4\u7cdf\u3002\u57fa\u672c\u9762 1 \u5206\uff08\u53ea\u8fc7\u4e86 2 \u9879\uff09\uff0c\u4ef7\u683c\u53c8\u9ad8\uff0c\u53cc\u6740\u3002\u534a\u5e74\u8dcc 9.68%\uff0c\u6392\u5012\u6570\u7b2c\u4e09\u3002<\/p>\n\n\n\n

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\u4e94\u3001\u4e09\u4e2a\u8f93\u5bb6\u5168\u662f\u540c\u4e00\u79cd\u8d35<\/strong><\/h2>\n\n\n\n

\u628a 9 \u53ea\u7968\u6309 P\/E \u4ece\u4f4e\u5230\u9ad8\u6392\u4e00\u6392\uff0c\u89c4\u5f8b\u66f4\u6e05\u695a\u3002<\/p>\n\n\n\n

\"\"
\u8d62\u5bb6 P\/E \u90fd\u4e0d\u8fc7 32 \u00b7 \u8f93\u5bb6\u5168\u662f\u699c\u4e0a\u6700\u8d35<\/figcaption><\/figure>\n\n\n\n

\u8d62\u5bb6\u8fd9\u4e00\u8fb9\uff0c6 \u53ea\u7968\u7684 P\/E \u90fd\u5728 32 \u4ee5\u4e0b\u3002\u6700\u4fbf\u5b9c\u7684 KO \u624d 18 \u500d\uff0c\u6700\u8d35\u7684 AAPL 30 \u500d\u3002<\/p>\n\n\n\n

\u8f93\u5bb6\u8fd9\u4e00\u8fb9\uff0c3 \u53ea\u7968\u7684 P\/E \u5168\u90e8\u9ad8\u4e8e 32\u3002COST 52 \u500d\uff0cTSLA 48 \u500d\uff0cWMT 36 \u500d\u3002\u4e09\u4e2a\u6700\u8d35\u7684\uff0c\u6b63\u597d\u662f\u4e09\u4e2a\u8dcc\u7684\u3002<\/p>\n\n\n\n

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\u5177\u4f53\u600e\u4e48\u6539\uff1f<\/p>\n\n\n\n

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\u7b2c\u4e09\u79cd\uff0c\u7ed3\u5408 PEG\uff08\u5e02\u76c8\u7387\u76f8\u5bf9\u76c8\u5229\u589e\u957f\u6bd4\u7387\uff09\u3002PEG = P\/E \u00f7 \u76c8\u5229\u589e\u957f\u7387\u3002PEG \u2264 1 \u7684\u7968\u624d\u7b97\u4fbf\u5b9c\u3002\u8fd9\u4e00\u9879\u5bf9\u6210\u957f\u80a1\u7279\u522b\u6709\u6548\uff0c\u4f46\u9700\u8981\u76c8\u5229\u589e\u957f\u7387\u6570\u636e\uff0c\u811a\u672c\u5f97\u591a\u62c9\u4e00\u5217\u3002<\/p>\n\n\n\n

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\u516d\u3001\u600e\u4e48\u81ea\u5df1\u8dd1\u4e00\u904d<\/strong><\/h2>\n\n\n\n

\u60f3\u505a\u5168\u5957\uff0c\u628a\u516d\u7ef4\u6253\u5206\u5728\u81ea\u5df1\u7535\u8111\u4e0a\u8dd1\u4e00\u904d\uff0c\u95e8\u69db\u4e0d\u9ad8\u3002\u4e00\u53f0\u80fd\u8bbf\u95ee\u6d77\u5916\u7f51\u7edc\u7684\u673a\u5668\u3001Python 3.10 \u4ee5\u4e0a\u3001`yfinance` \u88c5\u4e00\u4e0b\u5c31\u884c\u3002<\/p>\n\n\n\n

\u7b2c\u4e00\u6b65\u5148\u88c5\u5305\u3002<\/p>\n\n\n\n

# \u7ec8\u7aef\u4e00\u884c\u547d\u4ee4\uff08shell\uff0c\u4e0d\u662f Python\uff09\uff1a\n# pip install yfinance pandas numpy\nimport yfinance as yf\nimport pandas as pd<\/code><\/pre>\n\n\n\n
\u7b2c\u4e8c\u6b65\uff0c\u5b9a\u4e49\u516d\u4e2a\u6307\u6807\u7684\u9608\u503c\u3002<\/p>\n\n\n\n
THRESHOLDS = {\n    'roe':       0.15,   # \u2265 15%\n    'roa':       0.07,   # \u2265 7%\n    'de':        0.05,   # \u2264 0.5\n    'net_margin':0.20,   # \u2265 20%\n    'pe':        20,     # \u2264 20 \u500d\n    'pb':         3,     # \u2264 3 \u500d\n}<\/code><\/pre>\n\n\n\n
\u7b2c\u4e09\u6b65\uff0c\u5199\u4e00\u4e2a\u6253\u5206\u51fd\u6570\u3002<\/p>\n\n\n\n
import yfinance as yf\nimport pandas as pd\n\ndef score_one(ticker: str) -> dict:\n    info = yf.Ticker(ticker).info\n    roe  = info.get('returnOnEquity', 0)\n    roa  = info.get('returnOnAssets', 0)\n    de   = info.get('debtToEquity', 0) \/ 100  # yfinance \u8fd4\u56de\u767e\u5206\u6bd4\n    nm   = info.get('profitMargins', 0)\n    pe   = info.get('trailingPE', 0)\n    pb    = info.get('priceToBook', 0)\n\n    flags = {\n        'roe':       roe >= THRESHOLDS['roe'],\n        'roa':       roa >= THRESHOLDS['roa'],\n        'de':        de  <= THRESHOLDS['de'],\n        'net_margin':nm  >= THRESHOLDS['net_margin'],\n        'pe':        pe  <= THRESHOLDS['pe'],\n        'pb':        pb  <= THRESHOLDS['pb'],\n    }\n    return {\n        'ticker': ticker,\n        'score':  sum(flags.values()),\n        'details': flags,\n        'raw': {'pe': pe, 'pb': pb, 'roe': roe},\n    }<\/code><\/pre>\n\n\n\n
\u7b2c\u56db\u6b65\uff0c\u6279\u91cf\u8dd1\u4e00\u7ec4\u7968\u3002<\/p>\n\n\n\n
TICKERS = ['AAPL', 'MSFT', 'JPM', 'V', 'GOOGL', 'KO',\n           'WMT', 'COST', 'TSLA']\n\nresults = pd.DataFrame([score_one(t) for t in TICKERS])\nprint(results[['ticker', 'score']].sort_values('score', ascending=False))<\/code><\/pre>\n\n\n\n
\u8dd1\u5b8c\u4f1a\u62ff\u5230 9 \u53ea\u7968\u7684\u603b\u5206\u3002\u548c\u4e0a\u9762\u90a3\u5f20\u8868\u4e00\u5bf9\u7167\uff0c\u80fd\u76f4\u63a5\u770b\u51fa yfinance \u62c9\u6570\u548c AAPL \u5bf9\u6bd4\u7684\u5dee\u5f02\u5728\u54ea\u3002yfinance \u81ea\u5e26\u7684\u8d22\u52a1\u5b57\u6bb5\u4f1a\u968f\u8d22\u62a5\u62ab\u9732\u8282\u594f\u53d8\u5316\uff0cA\u80a1\u7968\u6ca1\u6cd5\u76f4\u63a5\u5957\uff0c\u8de8\u5e02\u573a\u7684\u5b57\u6bb5\u540d\u4e5f\u4e0d\u4e00\u6837\uff0c\u8981\u6309\u9700\u6539\u5b57\u6bb5\u6620\u5c04\u3002<\/p>\n\n\n\n
\u7b2c\u4e94\u6b65\u662f\u8fd9\u6b21\u6700\u91cd\u8981\u7684\u5347\u7ea7\u7248\u3002\u628a P\/E \u62ce\u51fa\u6765\u5f53\u4e00\u7968\u5426\u51b3\u3002<\/p>\n\n\n\n
PE_HARD_LIMIT = 32  # P\/E \u8d85\u8fc7\u8fd9\u4e00\u6863\u76f4\u63a5\u51fa\u5c40\uff0c\u4e0d\u8fdb\u603b\u5206\n\ndef score_with_pe_redline(ticker: str) -> dict:\n    res = score_one(ticker)\n    pe = res['raw']['pe']\n    if pe > PE_HARD_LIMIT:\n        res['score'] = 0   # \u4e00\u7968\u5426\u51b3\n        res['blocked_by'] = f'P\/E={pe:.1f} > {PE_HARD_LIMIT}'\n    return res<\/code><\/pre>\n\n\n\n
\u8fd9\u6b21\u8dd1\u4e0b\u6765\uff0cCOST\uff08WMT\u3001TSLA \u90fd\u7b97\u4e0a\uff09\u4f1a\u88ab\u8fd9\u4e00\u884c\u76f4\u63a5\u62e6\u4e0b\u3002\u5269\u4e0b\u7684\u7968\u91cc 6 \u53ea\u8d62\u5bb6\u30010 \u53ea\u8f93\u5bb6\u3002<\/p>\n\n\n\n
\u6574\u5957\u811a\u672c\u4e0d\u5230 50 \u884c\uff0c\u590d\u5236\u5230\u672c\u5730\u4e00\u4e2a\u6587\u4ef6\u5c31\u80fd\u8dd1\u3002\u7f8e\u80a1\u7968\u76f4\u63a5\u63a5\u4e0a\u9762\u7684 TICKERS\uff0cA \u80a1\u7968\u6362\u6570\u636e\u6e90\u3001\u5b57\u6bb5\u6620\u5c04\u5355\u72ec\u5199\u4e00\u4efd\u3002<\/p>\n\n\n\n
\u4e03\u3001\u65b9\u6cd5\u8bba\u5347\u534e<\/strong><\/h2>\n\n\n\n
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\u56de\u5230\u6253\u5206\u6e05\u5355\u4e0a<\/strong>\u3002\u8fd9\u4e2a\u5de5\u5177\u7701\u6389\u7684\u662f\u4f60\u6bcf\u5929\u7ffb F10 \u90a3\u4e00\u9875<\/strong>\u3002\u57fa\u672c\u9762\u7b97\u6e05\u695a \u2192 \u516c\u53f8\u503c\u4e0d\u503c\u3002\u5269\u4e0b\u534a\u4e2a\u95ee\u9898\uff08\u4ef7\u683c\u8d35\u4e0d\u8d35\uff09\u9700\u8981\u5355\u72ec\u7684\u786c\u9608\u503c\u515c\u5e95\u3002<\/p>\n\n\n\n
\u4e24\u4e2a\u5347\u7ea7\u5efa\u8bae\u6536\u5c3e\u3002<\/p>\n\n\n\n
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#Buffett\u516d\u7ef4\u6253\u5206 #\u7f8e\u80a1\u9009\u80a1 #\u91cf\u5316\u9009\u80a1 #Python\u7b5b\u80a1 #\u4ef7\u503c\u6295\u8d44 #ROE #\u8d22\u62a5\u6307\u6807 #P\/E\u6307\u6807 #\u80a1\u7968\u7b5b\u9009 #\u7f8e\u80a1ETF #\u957f\u671f\u6301\u6709 #\u6307\u6807\u4f53\u7cfb<\/p>\n\n\n\n
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