{"id":90688,"date":"2026-08-05T20:24:29","date_gmt":"2026-08-05T12:24:29","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/90688.html"},"modified":"2026-08-05T20:24:29","modified_gmt":"2026-08-05T12:24:29","slug":"%e6%af%8f%e6%97%a5%e8%b4%a2%e7%bb%8f%e7%9f%a5%e8%af%86%ef%bc%9a%e5%8d%9a%e6%a0%bc%e5%85%ac%e5%bc%8f%e9%80%89%e8%82%a1-%e4%b8%80%e4%b8%aa%e5%85%ac%e5%bc%8f%ef%bc%8c%e7%ad%9b%e5%87%ba","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/90688.html","title":{"rendered":"\u6bcf\u65e5\u8d22\u7ecf\u77e5\u8bc6\uff1a\u535a\u683c\u516c\u5f0f\u9009\u80a1\u2014\u2014\u4e00\u4e2a\u516c\u5f0f\uff0c\u7b5b\u51fa\u80fd\u957f\u671f\u6301\u6709\u7684\u597d\u516c\u53f8\uff08\u57fa\u4e8e\uff1aTuShare API\uff09"},"content":{"rendered":"

\u539f\u521b | \u6765\u81ea\u5317\u65b9\u72fc \u00b7 StockStudy\u56ed\u5730 | 2026\u5e748\u67085\u65e5 17:41 \u91cd\u5e86<\/p>\n

\u524d\u7f6e\u8bf4\u660e：\u5982\u9700\u8981\u4e0b\u8f7d\u672c\u6587\u4ee3\u7801（\u5171\u6709 360M \u5de6\u53f3，\u57fa\u7840\u6570\u636e），\u8bf7\u5927\u5bb6\u5173\u6ce8\u5fae\u4fe1\u516c\u4f17\u53f7：\u201cStockStudy\u56ed\u5730\u201d \u540e\u53f0\u56de\u590d：<\/p>\n

  • \u56de\u590d：\u57fa\u7840\u6570\u636e，\u5c31\u53ef\u4ee5\u4e0b\u8f7d\u57fa\u7840\u6570\u636e\u3002<\/li>\n
  • \u56de\u590d：\u535a\u683c\u9009\u80a1\u4ee3\u7801，\u5c31\u53ef\u4ee5\u4e0b\u8f7d\u672c\u6587\u7b97\u6cd5\u4ee3\u7801\u3002<\/li>\n
  • \u56de\u590d：\u535a\u683c\u9009\u80a1\u7ed3\u679c，\u5c31\u53ef\u4ee5\u4e0b\u8f7d\u672c\u6587\u4ee3\u7801\u8fd0\u884c\u7684\u7ed3\u679c\u6587\u4ef6（\u57fa\u4e8e 2026\u5e748\u67085\u65e5 \u6536\u76d8\u6570\u636e\u4e3a\u51c6），\u8fd9\u6837\u5927\u5bb6\u4ec5\u9760\u8fd9\u4e2a\u6570\u636e\u90fd\u53ef\u4ee5\u53c2\u8003\u5f88\u4e45，\u56e0\u4e3a\u957f\u671f\u6570\u636e\u53d8\u5316\u4e0d\u5927\u3002<\/li>\n
    \n

    \u3010\u6838\u5fc3\u89c2\u70b9\u3011<\/h3>\n
  • \u957f\u671f\u6536\u76ca = \u80a1\u606f\u7387 + \u76c8\u5229\u589e\u901f，\u4f30\u503c\u566a\u97f3\u62b5\u6d88<\/li>\n
  • \u80a1\u606f\u7387 < 0.5% \u6dd8\u6c70，\u589e\u901f\u6253\u6298\u5c01\u9876 15%<\/li>\n
  • \u516c\u5f0f\u4ec5\u4f5c\u521d\u7b5b，\u987b\u53e0\u52a0\u57fa\u672c\u9762\u4eba\u5de5\u590d\u6838<\/li>\n

    \u524d\u8a00<\/h3>\n

    \u6295\u8d44\u6700\u6838\u5fc3\u7684\u96be\u70b9，\u662f\u5728\u7eb7\u7e41\u590d\u6742\u7684\u5e02\u573a\u4e2d\u627e\u5230\u7a33\u5b9a\u8d5a\u94b1\u7684\u516c\u53f8\u3002\u5f88\u591a\u6563\u6237\u8ffd\u70ed\u70b9\u3001\u7092\u9898\u6750，\u6700\u540e\u53ea\u62ff\u5230\u7eb8\u9762\u6d6e\u76c8，\u62ff\u4e0d\u5230\u771f\u5b9e\u73b0\u91d1\u6d41\u3002\u5148\u950b\u96c6\u56e2\u521b\u59cb\u4eba\u7ea6\u7ff0\u00b7\u535a\u683c\u63d0\u51fa\u7684\u535a\u683c\u516c\u5f0f，\u5265\u79bb\u80a1\u4ef7\u77ed\u671f\u6ce2\u52a8\u566a\u97f3，\u53ea\u6293\u957f\u671f\u6536\u76ca\u4e24\u5927\u6838\u5fc3\u6765\u6e90，\u666e\u901a\u4eba\u96f6\u57fa\u7840\u4e5f\u80fd\u5b66\u4f1a，\u65e2\u53ef\u624b\u52a8\u5728\u7092\u80a1\u8f6f\u4ef6\u6d4b\u7b97，\u4e5f\u80fd\u7528 Python + Tushare \u5168\u81ea\u52a8\u6279\u91cf\u9009\u80a1\u3002<\/p>\n

    \n

    \u4e00\u3001\u901a\u4fd7\u6545\u4e8b：\u770b\u61c2\u535a\u683c\u516c\u5f0f\u5e95\u5c42\u903b\u8f91<\/h3>\n

    \u5047\u8bbe\u4e24\u4e2a\u5408\u4f5c\u5bf9\u8c61：<\/p>\n

  • \u670b\u53cb A：\u6bcf\u5e74\u7a33\u5b9a\u7ed9\u4f60\u73b0\u91d1\u5206\u7ea2，\u5206\u7ea2\u9010\u5e74\u4e0a\u6da8，\u53bb\u5e74\u5206 5 \u4e07，\u4eca\u5e74\u9884\u671f 5.5 \u4e07，\u6536\u76ca\u5b9e\u6253\u5b9e\u843d\u888b；<\/li>\n
  • \u670b\u53cb B：\u4ece\u4e0d\u5206\u7ea2，\u53ea\u4f1a\u53e3\u5934\u627f\u8bfa"\u660e\u5e74\u66b4\u5bcc"，\u5e74\u5e74\u753b\u997c\u65e0\u73b0\u91d1\u5151\u73b0\u3002<\/li>\n

    \u7406\u6027\u4eba\u90fd\u4f1a\u9009\u62e9 A，\u4f46\u80a1\u5e02\u91cc\u5927\u91cf\u6295\u8d44\u8005\u504f\u7231"\u8bb2\u6545\u4e8b\u3001\u65e0\u5206\u7ea2"\u7684 B \u7c7b\u516c\u53f8\u3002\u535a\u683c\u516c\u5f0f\u5c31\u662f\u4e00\u5957\u91cf\u5316\u7b5b\u9009\u6807\u51c6，\u4e13\u95e8\u9501\u5b9a\u6301\u7eed\u5206\u7ea2\u3001\u76c8\u5229\u7a33\u5b9a\u589e\u957f\u7684\u4f18\u8d28\u4f01\u4e1a\u3002<\/p>\n

    \u7ea6\u7ff0\u00b7\u535a\u683c\u6838\u5fc3\u7ed3\u8bba：\u6301\u6709\u5468\u671f\u62c9\u957f\u81f3 10 \u5e74\u4ee5\u4e0a，\u5e02\u76c8\u7387\u4f30\u503c\u6da8\u8dcc\u4f1a\u76f8\u4e92\u62b5\u6d88，\u80a1\u7968\u957f\u671f\u5e74\u5316\u6536\u76ca\u4ec5\u7531\u4e24\u90e8\u5206\u51b3\u5b9a：\u73b0\u91d1\u5206\u7ea2\u3001\u4f01\u4e1a\u51c0\u5229\u6da6\u957f\u671f\u589e\u957f\u3002<\/p>\n

    \u7b80\u5316\u6838\u5fc3\u516c\u5f0f（\u4e2a\u80a1\u957f\u671f\u6d4b\u7b97\u7248）：<\/p>\n

    \u9884\u671f\u5e74\u5316\u6536\u76ca\u7387 \u2248 TTM \u80a1\u606f\u7387 + \u4fdd\u5b88\u4fee\u6b63\u6c38\u7eed\u5229\u6da6\u589e\u901f<\/p>\n

    \u5224\u5b9a\u6807\u51c6：\u4e24\u8005\u76f8\u52a0 \u2265 10%，\u7eb3\u5165\u957f\u671f\u89c2\u5bdf\u6c60\u3002<\/p>\n

    \n

    \u4e8c\u3001\u4e09\u5927\u6838\u5fc3\u57fa\u7840\u6982\u5ff5（\u5927\u4f17\u6613\u61c2\u7248）<\/h3>\n

    2.1 TTM \u80a1\u606f\u7387（\u786e\u5b9a\u73b0\u91d1\u6536\u76ca）<\/h4>\n
  • \u5b9a\u4e49：\u8fc7\u53bb 12 \u4e2a\u6708\u6bcf\u80a1\u73b0\u91d1\u5206\u7ea2 \u00f7 \u5f53\u524d\u80a1\u4ef7，\u53cd\u6620\u5f53\u4e0b\u4e70\u5165\u6bcf\u5e74\u80fd\u62ff\u5230\u7684\u73b0\u91d1\u56de\u62a5；<\/li>\n
  • \u5b9e\u64cd\u4e3e\u4f8b：\n
      \n
    • \u4e2a\u80a1\u5168\u5e74\u4e24\u6b21\u5206\u7ea2：10 \u6d3e 5（\u6bcf\u80a1 0.5 \u5143）\u300110 \u6d3e 3（\u6bcf\u80a1 0.3 \u5143），\u5168\u5e74\u5408\u8ba1\u6bcf\u80a1\u5206\u7ea2 0.8 \u5143，\u73b0\u4ef7 16 \u5143\u3002<\/li>\n
    • TTM \u80a1\u606f\u7387 = 0.8 \u00f7 16 = 5%；<\/li>\n<\/ul>\n<\/li>\n
    • \u4f5c\u7528：\u552f\u4e00\u4e0d\u4f9d\u8d56\u5e02\u573a\u884c\u60c5\u3001\u80fd\u76f4\u63a5\u5230\u624b\u7684\u6536\u76ca，\u662f\u6295\u8d44\u5b89\u5168\u57ab；\u5feb\u901f\u8fc7\u6ee4\u6807\u51c6：\u80a1\u606f\u7387 < 0.5% \u76f4\u63a5\u6dd8\u6c70\u3002<\/li>\n

      2.2 CAGR \u590d\u5408\u5e74\u5747\u589e\u957f\u7387（\u5254\u9664\u77ed\u671f\u6c34\u5206）<\/h4>\n
    • \u5b9a\u4e49：\u628a\u591a\u5e74\u6ce2\u52a8\u7684\u51c0\u5229\u6da6\u589e\u901f\u6298\u7b97\u6210\u5300\u901f\u590d\u5229\u589e\u957f\u5e74\u5316\u503c，\u907f\u514d\u5355\u4e00\u5e74\u4efd\u4e00\u6b21\u6027\u6536\u76ca（\u5356\u8d44\u4ea7\u3001\u653f\u5e9c\u8865\u8d34）\u5e72\u6270\u5224\u65ad；<\/li>\n
    • \u9519\u8bef\u7b97\u6cd5：\u76f4\u63a5\u7b97\u672f\u5e73\u5747，\u5ffd\u7565\u590d\u5229\u6548\u5e94；<\/li>\n
    • \u6807\u51c6\u8ba1\u7b97\u516c\u5f0f：<\/li>\n

      CAGR = (\u671f\u672b\u503c \/ \u671f\u521d\u503c)^(1 \/ \u5e74\u6570) – 1<\/p>\n

    • \u4e3e\u4f8b：3 \u5e74\u51c0\u5229\u6da6\u589e\u901f 15%\u300110%\u30019%\u3002<\/li>\n

      2.3 \u4fdd\u5b88\u6c38\u7eed\u589e\u901f（\u5386\u53f2\u589e\u901f\u6253\u6298，\u7406\u6027\u9884\u5224\u672a\u6765）<\/h4>\n

      \u6838\u5fc3\u903b\u8f91：\u5386\u53f2\u589e\u901f\u8d8a\u9ad8，\u957f\u671f\u7ef4\u6301\u96be\u5ea6\u8d8a\u5927，\u5fc5\u987b\u9636\u68af\u6253\u6298，\u540c\u65f6\u8bbe\u7f6e\u4e0a\u9650 15%（\u6ca1\u6709\u4f01\u4e1a\u80fd\u6c38\u4e45\u8d85 15% \u590d\u5229\u589e\u957f），\u4e8f\u635f\u4f01\u4e1a\u4fdd\u5e95 -5%\u3002<\/p>\n\n\u5386\u53f2\u52a0\u6743 CAGR \u533a\u95f4\u7559\u5b58\u6298\u7b97\u6bd4\u4f8b\u6848\u4f8b\u6f14\u793a<\/tr>\n\n\n\n\n\n\n\n\n
      ＞25%<\/td>\n35%<\/td>\n\u5386\u53f2 50% \u589e\u901f，\u6298\u7b97\u540e 17.5%<\/td>\n<\/tr>\n
      ＞20%<\/td>\n45%<\/td>\n\u5386\u53f2 30% \u589e\u901f，\u6298\u7b97\u540e 13.5%<\/td>\n<\/tr>\n
      ＞15%<\/td>\n55%<\/td>\n\u5386\u53f2 20% \u589e\u901f，\u6298\u7b97\u540e 11%<\/td>\n<\/tr>\n
      ＞10%<\/td>\n65%<\/td>\n\u5386\u53f2 15% \u589e\u901f，\u6298\u7b97\u540e 9.75%<\/td>\n<\/tr>\n
      ＞5%<\/td>\n75%<\/td>\n\u5386\u53f2 8% \u589e\u901f，\u6298\u7b97\u540e 6%<\/td>\n<\/tr>\n
      ＞0%<\/td>\n85%<\/td>\n\u5386\u53f2 3% \u589e\u901f，\u6298\u7b97\u540e 2.55%<\/td>\n<\/tr>\n
      \u22640%<\/td>\n\u4fdd\u5e95 -5%<\/td>\n\u76c8\u5229\u4e0b\u6ed1，\u6700\u4f4e\u6309 -5% \u8ba1\u7b97<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
      \n

      \u4e09\u3001\u901a\u8fbe\u4fe1\u8f6f\u4ef6\u624b\u5de5\u5b8c\u6574\u6d4b\u7b97\u6d41\u7a0b（\u957f\u57ce\u8bc1\u5238\u70fd\u706b\u7248\u901a\u7528）<\/h3>\n

      \u6b65\u9aa4 1：\u63d0\u53d6 TTM \u80a1\u606f\u7387<\/h4>\n
    • \u8f93\u5165\u80a1\u7968\u4ee3\u7801，\u6309 F10，\u8fdb\u5165\u300c\u5206\u7ea2\u878d\u8d44\u300d，\u7edf\u8ba1\u8fd1 12 \u4e2a\u6708\u73b0\u91d1\u5206\u7ea2\u603b\u989d；<\/li>\n
    • \u884c\u60c5\u9875\u9762\u53f3\u952e\u81ea\u5b9a\u4e49\u5217，\u76f4\u63a5\u6dfb\u52a0\u300c\u80a1\u606f\u7387 (TTM)\u300d\u4e00\u952e\u67e5\u770b；<\/li>\n
    • \u524d\u7f6e\u7b5b\u9009：\u80a1\u606f\u7387\u4f4e\u4e8e 0.5% \u76f4\u63a5\u653e\u5f03，\u65e0\u9700\u540e\u7eed\u8ba1\u7b97\u3002<\/li>\n

      \u6b65\u9aa4 2：\u63d0\u53d6 7 \u5e74\u51c0\u5229\u6da6\u540c\u6bd4\u589e\u901f<\/h4>\n
    • \u5feb\u6377\u952e F11 \u6253\u5f00\u6210\u957f\u80fd\u529b\u9875\u9762，\u67e5\u770b\u7cfb\u7edf\u81ea\u5e26 3-5 \u5e74\u51c0\u5229\u6da6\u540c\u6bd4；<\/li>\n
    • \u6570\u636e\u4e0d\u8db3 7 \u5e74：F10 \u5229\u6da6\u8868\u7ffb\u5386\u53f2\u5e74\u62a5，\u624b\u52a8\u8ba1\u7b97\u6bcf\u5e74\u540c\u6bd4：<\/li>\n

      \u5f53\u5e74\u51c0\u5229\u6da6\u589e\u901f = (\u5f53\u5e74\u51c0\u5229\u6da6 – \u4e0a\u5e74\u51c0\u5229\u6da6) \u00f7 |\u4e0a\u5e74\u51c0\u5229\u6da6| \u00d7 100%<\/p>\n

      \u6b65\u9aa4 3：\u5206\u522b\u8ba1\u7b97 3 \/ 5 \/ 7 \u5e74\u671f CAGR<\/h4>\n

      \u7edf\u4e00\u4f7f\u7528\u590d\u5229\u5f00\u65b9\u516c\u5f0f，\u53d6\u5b8c\u6574\u5e74\u5ea6\u51c0\u5229\u6da6\u589e\u901f\u6570\u636e\u4ee3\u5165\u3002<\/p>\n

      \u6b65\u9aa4 4：\u52a0\u6743\u5408\u5e76\u591a\u5468\u671f\u589e\u901f<\/h4>\n

      \u6743\u91cd\u5206\u914d：7 \u5e74 CAGR \u00d7 0.4 + 5 \u5e74 CAGR \u00d7 0.35 + 3 \u5e74 CAGR \u00d7 0.25<\/p>\n

      \u793a\u4f8b\u6570\u636e：7 \u5e74 CAGR 13.38%\u30015 \u5e74 14.72%\u30013 \u5e74 11.29%<\/p>\n

      \u52a0\u6743\u539f\u59cb CAGR = 13.38 \u00d7 0.4 + 14.72 \u00d7 0.35 + 11.29 \u00d7 0.25 = 13.33%<\/p>\n

      \u6b65\u9aa4 5：\u9636\u68af\u8870\u51cf\u6253\u6298<\/h4>\n

      13.33% \u843d\u5728 10%~15% \u533a\u95f4，\u7559\u5b58 65%：<\/p>\n

      \u8870\u51cf\u540e\u589e\u901f = 13.33% \u00d7 0.65 = 8.66%<\/p>\n

      \u6b65\u9aa4 6：\u589e\u901f\u5c01\u9876\u9650\u5236<\/h4>\n

      \u4fdd\u5b88\u6c38\u7eed\u589e\u901f = min(\u8870\u51cf\u540e\u6570\u503c，15%) = 8.66%<\/p>\n

      \u6b65\u9aa4 7：\u535a\u683c\u516c\u5f0f\u8ba1\u7b97\u9884\u671f\u5e74\u5316\u6536\u76ca<\/h4>\n

      \u9884\u671f\u5e74\u5316 = TTM \u80a1\u606f\u7387 + \u4fdd\u5b88\u6c38\u7eed\u589e\u901f<\/p>\n

      \u82e5\u4e2a\u80a1\u80a1\u606f\u7387 5%，\u603b\u6536\u76ca = 5% + 8.66% = 13.66% \u2265 10%，\u8fbe\u6807\u5165\u9009\u3002<\/p>\n

      \n

      \u56db\u3001Python + Tushare \u81ea\u52a8\u5316\u9009\u80a1\u5b8c\u6574\u65b9\u6848<\/h3>\n

      4.1 \u6570\u636e\u63a5\u53e3\u5bf9\u5e94\u8bf4\u660e（Tushare \u51fd\u6570\u5bf9\u7167\u8868）<\/h4>\n\n\u9700\u8981\u6570\u636eTushare Pro \u63a5\u53e3\u5173\u952e\u5b57\u6bb5\u53e3\u5f84\u8bf4\u660e<\/tr>\n\n\n\n\n\n
      TTM \u80a1\u606f\u7387\u3001\u80a1\u4ef7\u3001\u5e02\u503c\u3001PE\/PB<\/td>\ndaily_basic<\/td>\ndv_ratio<\/td>\ndv_ratio \u539f\u751f\u4e3a TTM \u80a1\u606f\u7387，\u4e0e\u624b\u5de5\u8ba1\u7b97\u53e3\u5f84\u4e00\u81f4<\/td>\n<\/tr>\n
      \u5e74\u62a5\u51c0\u5229\u6da6\u540c\u6bd4\u589e\u901f<\/td>\nfina_indicator<\/td>\nnetprofit_yoy<\/td>\n\u4ec5\u7b5b\u9009 end_date=1231 \u7684\u5e74\u5ea6\u6570\u636e，\u5254\u9664\u5b63\u62a5<\/td>\n<\/tr>\n
      \u80a1\u7968\u540d\u79f0\u3001\u884c\u4e1a\u5206\u7c7b<\/td>\nstock_basic<\/td>\nts_code\u3001name\u3001industry<\/td>\n\u4e2a\u80a1\u57fa\u7840\u4fe1\u606f\u8865\u5145<\/td>\n<\/tr>\n
      ROE\u3001\u51c0\u5229\u7387<\/td>\nfina_indicator<\/td>\nroe\u3001netprofit_margin<\/td>\n\u8f85\u52a9\u57fa\u672c\u9762\u6821\u9a8c\u6307\u6807<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      4.2 \u5b8c\u6574\u4ee3\u7801\u5206\u6b65\u5b9e\u73b0<\/h4>\n

      1）\u73af\u5883\u521d\u59cb\u5316\u4e0e Token \u914d\u7f6e<\/p>\n

      import<\/span> tushare as<\/span> ts
      \nimport<\/span> pandas as<\/span> pd
      \nimport<\/span> numpy as<\/span> np
      \nimport<\/span> math<\/p>\n

      # \u66ff\u6362\u4e3a\u4e2a\u4ebaTushare Pro Token<\/span>
      \nts.<\/span>set_token(<\/span>'\u4f60\u7684Tushare Token'<\/span>)<\/span>
      \npro =<\/span> ts.<\/span>pro_api(<\/span>)<\/span><\/p>\n

      2）\u5355\u53ea\u80a1\u7968\u63d0\u53d6 7 \u5e74\u5e74\u62a5\u51c0\u5229\u6da6\u540c\u6bd4\u589e\u901f<\/p>\n

      def<\/span> get_yoy_data<\/span>(<\/span>ts_code)<\/span>:<\/span>
      \n """\u83b7\u53d6\u5355\u53ea\u80a1\u7968\u8fd17\u5e74\u5e74\u62a5\u51c0\u5229\u6da6\u540c\u6bd4\u589e\u901f"""<\/span>
      \n df =<\/span> pro.<\/span>fina_indicator(<\/span>
      \n ts_code=<\/span>ts_code,<\/span>
      \n fields=<\/span>'ts_code,end_date,netprofit_yoy,ann_date'<\/span>
      \n )<\/span>
      \n # \u4ec5\u4fdd\u755912\u670831\u65e5\u5e74\u62a5\u6570\u636e<\/span>
      \n df_annual =<\/span> df[<\/span>df[<\/span>'end_date'<\/span>]<\/span>.<\/span>str<\/span>.<\/span>endswith(<\/span>'1231'<\/span>)<\/span>]<\/span>
      \n # \u6309\u516c\u544a\u65e5\u671f\u53bb\u91cd，\u4fdd\u7559\u6700\u65b0\u5e74\u62a5<\/span>
      \n df_annual =<\/span> df_annual.<\/span>sort_values(<\/span>'ann_date'<\/span>,<\/span> ascending=<\/span>False<\/span>)<\/span>
      \n df_annual =<\/span> df_annual.<\/span>drop_duplicates(<\/span>subset=<\/span>[<\/span>'end_date'<\/span>]<\/span>)<\/span>
      \n if<\/span> df_annual.<\/span>empty:<\/span>
      \n return<\/span> [<\/span>]<\/span>,<\/span> 0<\/span>
      \n latest_year =<\/span> int<\/span>(<\/span>df_annual[<\/span>'end_date'<\/span>]<\/span>.<\/span>iloc[<\/span>0<\/span>]<\/span>[<\/span>:<\/span>4<\/span>]<\/span>)<\/span>
      \n yoy_list =<\/span> [<\/span>]<\/span>
      \n # \u63d0\u53d6\u8fd17\u5e74\u6570\u636e<\/span>
      \n for<\/span> year in<\/span> range<\/span>(<\/span>latest_year –<\/span> 6<\/span>,<\/span> latest_year +<\/span> 1<\/span>)<\/span>:<\/span>
      \n row =<\/span> df_annual[<\/span>df_annual[<\/span>'end_date'<\/span>]<\/span>.<\/span>str<\/span>.<\/span>startswith(<\/span>str<\/span>(<\/span>year)<\/span>)<\/span>]<\/span>
      \n if<\/span> not<\/span> row.<\/span>empty and<\/span> pd.<\/span>notna(<\/span>row.<\/span>iloc[<\/span>0<\/span>]<\/span>[<\/span>'netprofit_yoy'<\/span>]<\/span>)<\/span>:<\/span>
      \n yoy_val =<\/span> float<\/span>(<\/span>row.<\/span>iloc[<\/span>0<\/span>]<\/span>[<\/span>'netprofit_yoy'<\/span>]<\/span>)<\/span>
      \n yoy_list.<\/span>append(<\/span>yoy_val)<\/span>
      \n return<\/span> yoy_list,<\/span> latest_year<\/p>\n

      3）CAGR \u8ba1\u7b97\u51fd\u6570（\u6781\u7aef\u589e\u901f\u7ea6\u675f）<\/p>\n

      def<\/span> calc_cagr<\/span>(<\/span>yoy_list)<\/span>:<\/span>
      \n """\u8ba1\u7b97\u5355\u5468\u671f\u590d\u5408\u5e74\u5747\u589e\u901f，\u9650\u5236\u6781\u7aef\u6ce2\u52a8"""<\/span>
      \n if<\/span> not<\/span> yoy_list or<\/span> len<\/span>(<\/span>yoy_list)<\/span> <<\/span> 3<\/span>:<\/span>
      \n return<\/span> None<\/span>
      \n # \u7ea6\u675f\u589e\u901f\u6781\u503c，\u907f\u514d\u5f02\u5e38\u503c\u5e72\u6270<\/span>
      \n ratios =<\/span> [<\/span>]<\/span>
      \n for<\/span> y in<\/span> yoy_list:<\/span>
      \n y_clamp =<\/span> max<\/span>(<\/span>–<\/span>95<\/span>,<\/span> min<\/span>(<\/span>300<\/span>,<\/span> y)<\/span>)<\/span>
      \n ratios.<\/span>append(<\/span>1<\/span> +<\/span> y_clamp \/<\/span> 100<\/span>)<\/span>
      \n product =<\/span> 1.0<\/span>
      \n for<\/span> r in<\/span> ratios:<\/span>
      \n product *=<\/span> r
      \n years =<\/span> len<\/span>(<\/span>yoy_list)<\/span>
      \n return<\/span> product **<\/span> (<\/span>1<\/span> \/<\/span> years)<\/span> –<\/span> 1<\/span><\/p>\n

      def<\/span> get_cagrs<\/span>(<\/span>yoy_list)<\/span>:<\/span>
      \n """\u5206\u522b\u8f93\u51fa3\/5\/7\u5e74\u671fCAGR"""<\/span>
      \n cagr_3y =<\/span> calc_cagr(<\/span>yoy_list[<\/span>–<\/span>3<\/span>:<\/span>]<\/span>)<\/span> if<\/span> len<\/span>(<\/span>yoy_list)<\/span> >=<\/span> 3<\/span> else<\/span> None<\/span>
      \n cagr_5y =<\/span> calc_cagr(<\/span>yoy_list[<\/span>–<\/span>5<\/span>:<\/span>]<\/span>)<\/span> if<\/span> len<\/span>(<\/span>yoy_list)<\/span> >=<\/span> 5<\/span> else<\/span> None<\/span>
      \n cagr_7y =<\/span> calc_cagr(<\/span>yoy_list[<\/span>–<\/span>7<\/span>:<\/span>]<\/span>)<\/span> if<\/span> len<\/span>(<\/span>yoy_list)<\/span> >=<\/span> 7<\/span> else<\/span> None<\/span>
      \n return<\/span> cagr_3y,<\/span> cagr_5y,<\/span> cagr_7y<\/p>\n

      4）\u5386\u53f2\u589e\u901f\u52a0\u6743 + \u9636\u68af\u8870\u51cf + \u5c01\u9876\u51fd\u6570<\/p>\n

      def<\/span> conservative_growth<\/span>(<\/span>cagr_3y,<\/span> cagr_5y,<\/span> cagr_7y)<\/span>:<\/span>
      \n # \u52a0\u6743\u8ba1\u7b97<\/span>
      \n weight_map =<\/span> [<\/span>]<\/span>
      \n if<\/span> cagr_7y is<\/span> not<\/span> None<\/span>:<\/span>
      \n weight_map.<\/span>append(<\/span>(<\/span>cagr_7y *<\/span> 100<\/span>,<\/span> 0.40<\/span>)<\/span>)<\/span>
      \n if<\/span> cagr_5y is<\/span> not<\/span> None<\/span>:<\/span>
      \n weight_map.<\/span>append(<\/span>(<\/span>cagr_5y *<\/span> 100<\/span>,<\/span> 0.35<\/span>)<\/span>)<\/span>
      \n if<\/span> cagr_3y is<\/span> not<\/span> None<\/span>:<\/span>
      \n weight_map.<\/span>append(<\/span>(<\/span>cagr_3y *<\/span> 100<\/span>,<\/span> 0.25<\/span>)<\/span>)<\/span>
      \n if<\/span> not<\/span> weight_map:<\/span>
      \n return<\/span> 0.0<\/span>
      \n total_w =<\/span> sum<\/span>(<\/span>w for<\/span> _,<\/span> w in<\/span> weight_map)<\/span>
      \n weighted_cagr =<\/span> sum<\/span>(<\/span>v *<\/span> w for<\/span> v,<\/span> w in<\/span> weight_map)<\/span> \/<\/span> total_w
      \n # \u9636\u68af\u6253\u6298<\/span>
      \n if<\/span> weighted_cagr ><\/span> 25<\/span>:<\/span>
      \n decayed =<\/span> weighted_cagr *<\/span> 0.35<\/span>
      \n elif<\/span> weighted_cagr ><\/span> 20<\/span>:<\/span>
      \n decayed =<\/span> weighted_cagr *<\/span> 0.45<\/span>
      \n elif<\/span> weighted_cagr ><\/span> 15<\/span>:<\/span>
      \n decayed =<\/span> weighted_cagr *<\/span> 0.55<\/span>
      \n elif<\/span> weighted_cagr ><\/span> 10<\/span>:<\/span>
      \n decayed =<\/span> weighted_cagr *<\/span> 0.65<\/span>
      \n elif<\/span> weighted_cagr ><\/span> 5<\/span>:<\/span>
      \n decayed =<\/span> weighted_cagr *<\/span> 0.75<\/span>
      \n elif<\/span> weighted_cagr ><\/span> 0<\/span>:<\/span>
      \n decayed =<\/span> weighted_cagr *<\/span> 0.85<\/span>
      \n else<\/span>:<\/span>
      \n decayed =<\/span> max<\/span>(<\/span>weighted_cagr,<\/span> –<\/span>5.0<\/span>)<\/span>
      \n # \u589e\u901f\u4e0a\u965015%<\/span>
      \n capped =<\/span> min<\/span>(<\/span>decayed,<\/span> 15.0<\/span>)<\/span>
      \n return<\/span> capped<\/p>\n

      5）\u4e3b\u9009\u80a1\u51fd\u6570（\u6279\u91cf\u5168\u5e02\u573a\u7b5b\u9009）<\/p>\n

      def<\/span> bogle_screening<\/span>(<\/span>target_return=<\/span>10.0<\/span>,<\/span> trade_date=<\/span>"20260804"<\/span>)<\/span>:<\/span>
      \n # \u83b7\u53d6\u5168\u5e02\u573a\u6bcf\u65e5\u57fa\u7840\u6307\u6807，\u8fc7\u6ee4\u80a1\u606f\u7387\u22650.5%<\/span>
      \n df_daily =<\/span> pro.<\/span>daily_basic(<\/span>
      \n trade_date=<\/span>trade_date,<\/span>
      \n fields=<\/span>'ts_code,dv_ratio,close,pe_ttm,pb,total_mv'<\/span>
      \n )<\/span>
      \n df_daily =<\/span> df_daily[<\/span>df_daily[<\/span>'dv_ratio'<\/span>]<\/span> ><\/span> 0.5<\/span>]<\/span>
      \n result_list =<\/span> [<\/span>]<\/span>
      \n total_count =<\/span> len<\/span>(<\/span>df_daily)<\/span>
      \n # \u904d\u5386\u6bcf\u53ea\u80a1\u7968\u8ba1\u7b97\u535a\u683c\u9884\u671f\u6536\u76ca<\/span>
      \n for<\/span> idx,<\/span> row in<\/span> df_daily.<\/span>iterrows(<\/span>)<\/span>:<\/span>
      \n ts_code =<\/span> row[<\/span>'ts_code'<\/span>]<\/span>
      \n dv =<\/span> row[<\/span>'dv_ratio'<\/span>]<\/span>
      \n yoy_data,<\/span> _ =<\/span> get_yoy_data(<\/span>ts_code)<\/span>
      \n if<\/span> len<\/span>(<\/span>yoy_data)<\/span> <<\/span> 3<\/span>:<\/span>
      \n continue<\/span>
      \n c3,<\/span> c5,<\/span> c7 =<\/span> get_cagrs(<\/span>yoy_data)<\/span>
      \n safe_growth =<\/span> conservative_growth(<\/span>c3,<\/span> c5,<\/span> c7)<\/span>
      \n exp_return =<\/span> dv +<\/span> safe_growth
      \n result_list.<\/span>append(<\/span>{<\/span>
      \n "ts_code"<\/span>:<\/span> ts_code,<\/span>
      \n "TTM\u80a1\u606f\u7387"<\/span>:<\/span> round<\/span>(<\/span>dv,<\/span> 3<\/span>)<\/span>,<\/span>
      \n "\u4fdd\u5b88\u6c38\u7eed\u589e\u901f%"<\/span>:<\/span> round<\/span>(<\/span>safe_growth,<\/span> 3<\/span>)<\/span>,<\/span>
      \n "\u535a\u683c\u9884\u671f\u5e74\u5316%"<\/span>:<\/span> round<\/span>(<\/span>exp_return,<\/span> 3<\/span>)<\/span>,<\/span>
      \n "3\u5e74CAGR%"<\/span>:<\/span> round<\/span>(<\/span>c3*<\/span>100<\/span>,<\/span> 2<\/span>)<\/span> if<\/span> c3 else<\/span> None<\/span>,<\/span>
      \n "5\u5e74CAGR%"<\/span>:<\/span> round<\/span>(<\/span>c5*<\/span>100<\/span>,<\/span> 2<\/span>)<\/span> if<\/span> c5 else<\/span> None<\/span>,<\/span>
      \n "7\u5e74CAGR%"<\/span>:<\/span> round<\/span>(<\/span>c7*<\/span>100<\/span>,<\/span> 2<\/span>)<\/span> if<\/span> c7 else<\/span> None<\/span>
      \n }<\/span>)<\/span>
      \n # \u6bcf100\u53ea\u6253\u5370\u8fdb\u5ea6<\/span>
      \n if<\/span> (<\/span>idx +<\/span> 1<\/span>)<\/span> %<\/span> 100<\/span> ==<\/span> 0<\/span>:<\/span>
      \n print<\/span>(<\/span>f"\u5df2\u5904\u7406 <\/span>{<\/span>idx+<\/span>1<\/span>}<\/span><\/span>\/<\/span>{<\/span>total_count}<\/span><\/span>"<\/span><\/span>)<\/span>
      \n # \u7b5b\u9009\u8fbe\u6807\u6807\u7684\u5e76\u6392\u5e8f<\/span>
      \n df_res =<\/span> pd.<\/span>DataFrame(<\/span>result_list)<\/span>
      \n df_pass =<\/span> df_res[<\/span>df_res[<\/span>"\u535a\u683c\u9884\u671f\u5e74\u5316%"<\/span>]<\/span> >=<\/span> target_return]<\/span>
      \n df_pass =<\/span> df_pass.<\/span>sort_values(<\/span>"\u535a\u683c\u9884\u671f\u5e74\u5316%"<\/span>,<\/span> ascending=<\/span>False<\/span>)<\/span>
      \n return<\/span> df_pass<\/p>\n

      # \u6267\u884c\u9009\u80a1，trade_date\u66ff\u6362\u4e3a\u6700\u65b0\u4ea4\u6613\u65e5<\/span>
      \nqualified_df =<\/span> bogle_screening(<\/span>target_return=<\/span>10.0<\/span>,<\/span> trade_date=<\/span>"20260804"<\/span>)<\/span>
      \nprint<\/span>(<\/span>f"\u535a\u683c\u516c\u5f0f\u7b5b\u9009\u8fbe\u6807\u4e2a\u80a1\u603b\u6570：<\/span>{<\/span>len<\/span>(<\/span>qualified_df)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span>
      \nprint<\/span>(<\/span>qualified_df.<\/span>head(<\/span>20<\/span>)<\/span>)<\/span><\/p>\n

      6）\u8865\u5145\u4e2a\u80a1\u884c\u4e1a\u3001ROE\u3001\u51c0\u5229\u7387\u8f85\u52a9\u4fe1\u606f<\/p>\n

      def<\/span> enrich_fundamental<\/span>(<\/span>df)<\/span>:<\/span>
      \n enrich_list =<\/span> [<\/span>]<\/span>
      \n for<\/span> _,<\/span> row in<\/span> df.<\/span>iterrows(<\/span>)<\/span>:<\/span>
      \n code =<\/span> row[<\/span>"ts_code"<\/span>]<\/span>
      \n # \u83b7\u53d6\u80a1\u7968\u540d\u79f0\u3001\u884c\u4e1a<\/span>
      \n stock_info =<\/span> pro.<\/span>stock_basic(<\/span>ts_code=<\/span>code,<\/span> fields=<\/span>"ts_code,name,industry"<\/span>)<\/span>
      \n name =<\/span> stock_info.<\/span>iloc[<\/span>0<\/span>]<\/span>[<\/span>"name"<\/span>]<\/span> if<\/span> not<\/span> stock_info.<\/span>empty else<\/span> ""<\/span>
      \n industry =<\/span> stock_info.<\/span>iloc[<\/span>0<\/span>]<\/span>[<\/span>"industry"<\/span>]<\/span> if<\/span> not<\/span> stock_info.<\/span>empty else<\/span> ""<\/span>
      \n # \u83b7\u53d6\u6700\u65b0ROE\u3001\u51c0\u5229\u7387<\/span>
      \n fin_ind =<\/span> pro.<\/span>fina_indicator(<\/span>ts_code=<\/span>code,<\/span> limit=<\/span>1<\/span>,<\/span> fields=<\/span>"roe,netprofit_margin"<\/span>)<\/span>
      \n roe =<\/span> round<\/span>(<\/span>fin_ind.<\/span>iloc[<\/span>0<\/span>]<\/span>[<\/span>"roe"<\/span>]<\/span>,<\/span> 2<\/span>)<\/span> if<\/span> not<\/span> fin_ind.<\/span>empty else<\/span> None<\/span>
      \n margin =<\/span> round<\/span>(<\/span>fin_ind.<\/span>iloc[<\/span>0<\/span>]<\/span>[<\/span>"netprofit_margin"<\/span>]<\/span>,<\/span> 2<\/span>)<\/span> if<\/span> not<\/span> fin_ind.<\/span>empty else<\/span> None<\/span>
      \n line =<\/span> row.<\/span>to_dict(<\/span>)<\/span>
      \n line.<\/span>update(<\/span>{<\/span>"\u80a1\u7968\u540d\u79f0"<\/span>:<\/span> name,<\/span> "\u884c\u4e1a"<\/span>:<\/span> industry,<\/span> "\u6700\u65b0ROE%"<\/span>:<\/span> roe,<\/span> "\u51c0\u5229\u7387%"<\/span>:<\/span> margin}<\/span>)<\/span>
      \n enrich_list.<\/span>append(<\/span>line)<\/span>
      \n return<\/span> pd.<\/span>DataFrame(<\/span>enrich_list)<\/span><\/p>\n

      # \u8c03\u7528\u8865\u5145\u4fe1\u606f<\/span>
      \nfull_df =<\/span> enrich_fundamental(<\/span>qualified_df)<\/span>
      \n# \u5bfc\u51faExcel\u672c\u5730\u4fdd\u5b58<\/span>
      \nfull_df.<\/span>to_excel(<\/span>"\u535a\u683c\u516c\u5f0f\u9009\u80a1\u7ed3\u679c.xlsx"<\/span>,<\/span> index=<\/span>False<\/span>)<\/span><\/p>\n

      \n

      \u4e94\u3001\u5173\u952e\u53e3\u5f84\u7edf\u4e00\u8bf4\u660e（\u624b\u5de5\u8ba1\u7b97\u4e0e Tushare \u5bf9\u9f50）<\/h3>\n
    • dv_ratio：Tushare \u539f\u751f\u4e3a TTM \u8fc7\u53bb 12 \u4e2a\u6708\u80a1\u606f\u7387，\u548c\u8f6f\u4ef6 F10 \u624b\u5de5\u7edf\u8ba1\u5206\u7ea2\u8ba1\u7b97\u7ed3\u679c\u5b8c\u5168\u5339\u914d；<\/li>\n
    • netprofit_yoy：\u5355\u5e74\u5ea6\u51c0\u5229\u6da6\u540c\u6bd4\u589e\u901f，\u4ec5\u4f7f\u7528 1231 \u5e74\u62a5\u6570\u636e，\u5b63\u62a5\u3001\u4e2d\u62a5\u4e0d\u53c2\u4e0e CAGR \u8fd0\u7b97；<\/li>\n
    • \u6570\u636e\u6e05\u6d17\u89c4\u5219：\u51c0\u5229\u6da6\u589e\u901f\u6b63\u8d1f\u6781\u7aef\u503c\u5f3a\u5236\u7ea6\u675f，\u907f\u514d\u4e00\u6b21\u6027\u8d44\u4ea7\u5904\u7f6e\u3001\u653f\u5e9c\u8865\u8d34\u626d\u66f2\u957f\u671f\u589e\u957f\u5224\u65ad；<\/li>\n
    • \u65f6\u95f4\u7a97\u53e3：\u4ec5\u4e0a\u5e02\u6ee1 3 \u5e74\u4e2a\u80a1\u53c2\u4e0e\u8ba1\u7b97，\u65b0\u80a1\u65e0\u5b8c\u6574\u5386\u53f2\u76c8\u5229\u6570\u636e\u76f4\u63a5\u5254\u9664\u3002<\/li>\n
      \n

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      1）\u9002\u7528\u8303\u56f4\u9650\u5236<\/h4>\n
        \n
      • \u4ec5\u9002\u914d\u6301\u7eed\u7a33\u5b9a\u76c8\u5229\u3001\u5e38\u5e74\u73b0\u91d1\u5206\u7ea2\u7684\u6d88\u8d39\u3001\u516c\u7528\u3001\u9ad8\u80a1\u606f\u84dd\u7b79；<\/li>\n
      • \u5f3a\u5468\u671f\u884c\u4e1a（\u6709\u8272\u3001\u7164\u70ad\u3001\u94a2\u94c1）\u51c0\u5229\u6da6\u5468\u671f\u6027\u5927\u5e45\u6ce2\u52a8，CAGR \u5931\u771f，\u7b5b\u9009\u7ed3\u679c\u53c2\u8003\u6027\u4f4e；<\/li>\n
      • \u94f6\u884c\u3001\u4fdd\u9669\u7b49\u91d1\u878d\u884c\u4e1a\u8d22\u52a1\u6307\u6807\u7279\u6b8a，ROE\u3001\u76c8\u5229\u589e\u901f\u89e3\u8bfb\u9700\u989d\u5916\u4e13\u4e1a\u5206\u6790；<\/li>\n
      • \u4e0a\u5e02\u672a\u6ee1 3 \u5e74\u65b0\u80a1\u3001\u5e38\u5e74\u4e8f\u635f\u65e0\u5206\u7ea2\u4f01\u4e1a\u65e0\u6cd5\u4f7f\u7528\u8be5\u6a21\u578b\u3002<\/li>\n<\/ul>\n

        2）\u6a21\u578b\u672c\u8eab\u77ed\u677f<\/h4>\n

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      • \u4f01\u4e1a\u5546\u4e1a\u6a21\u5f0f\u3001\u884c\u4e1a\u957f\u671f\u666f\u6c14\u5ea6；<\/li>\n
      • \u7ba1\u7406\u5c42\u7ecf\u8425\u7a33\u5b9a\u6027\u3001\u5206\u7ea2\u653f\u7b56\u6301\u7eed\u6027；<\/li>\n
      • \u8d44\u4ea7\u8d1f\u503a\u8868\u3001\u73b0\u91d1\u6d41\u5065\u5eb7\u5ea6；<\/li>\n
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        3）\u6295\u8d44\u6838\u5fc3\u903b\u8f91\u91cd\u7533<\/h4>\n

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      • \u5f53\u4e0b\u4e70\u5165\u80fd\u7a33\u5b9a\u62ff\u5230\u591a\u5c11\u73b0\u91d1\u5206\u7ea2；<\/li>\n
      • \u4f01\u4e1a\u5386\u53f2\u80fd\u5426\u6301\u7eed\u7a33\u5b9a\u521b\u9020\u51c0\u5229\u6da6\u589e\u957f\u3002<\/li>\n

        \u957f\u671f\u6295\u8d44\u4e0d\u9700\u8981\u590d\u6742\u6307\u6807\u5806\u780c，\u6293\u4f4f\u73b0\u91d1\u6d41\u4e0e\u6210\u957f\u4e24\u5927\u951a\u70b9，\u5373\u53ef\u5927\u5e45\u89c4\u907f\u9898\u6750\u7092\u4f5c\u9677\u9631\u3002<\/p>\n

        \n

        \u4e03\u3001\u6587\u6863\u603b\u7ed3<\/h3>\n
      • \u7406\u8bba\u5c42：\u535a\u683c\u516c\u5f0f\u5265\u79bb\u77ed\u671f\u4f30\u503c\u6ce2\u52a8，\u957f\u671f\u6536\u76ca = TTM \u80a1\u606f\u7387 + \u4fdd\u5b88\u6c38\u7eed\u51c0\u5229\u6da6\u589e\u901f，\u5e74\u5316 \u2265 10% \u4e3a\u4f18\u8d28\u89c2\u5bdf\u6807\u7684；<\/li>\n
      • \u5b9e\u64cd\u5c42：\u901a\u8fbe\u4fe1\u8f6f\u4ef6 7 \u6b65\u624b\u5de5\u6d4b\u7b97，\u96f6\u57fa\u7840\u6295\u8d44\u8005\u53ef\u5355\u53ea\u4e2a\u80a1\u590d\u76d8；<\/li>\n
      • \u81ea\u52a8\u5316\u5c42：\u4f9d\u6258 Tushare daily_basic\u3001fina_indicator\u3001stock_basic \u4e09\u5927\u63a5\u53e3，\u5b8c\u6574 Python \u4ee3\u7801\u5b9e\u73b0\u5168\u5e02\u573a\u6279\u91cf\u9009\u80a1，\u81ea\u52a8\u5bfc\u51fa\u7ed3\u679c\u8868\u683c；<\/li>\n
      • \u98ce\u63a7\u5c42：\u660e\u786e\u884c\u4e1a\u3001\u6807\u7684\u9002\u914d\u8fb9\u754c，\u91cf\u5316\u7b5b\u9009\u4ec5\u4f5c\u521d\u7b5b，\u5fc5\u987b\u53e0\u52a0\u57fa\u672c\u9762\u4eba\u5de5\u590d\u6838，\u4e0d\u53ef\u5355\u4e00\u516c\u5f0f\u76f4\u63a5\u91cd\u4ed3\u3002<\/li>\n

        \u6570\u636e\u6765\u6e90：Tushare Pro \u91d1\u878d\u6570\u636e API
        \n\u521b\u4f5c\u65f6\u95f4：2026-08-05<\/p>\n

        \u9644：\u7a0b\u5e8f\u8fd0\u884c\u540e，\u9009\u51fa\u7684\u90e8\u5206\u80a1\u7968\u53c2\u8003（\u8be6\u89c1\u516c\u4f17\u53f7\u540e\u53f0\u56de\u590d"\u535a\u683c\u9009\u80a1\u7ed3\u679c"\u4e0b\u8f7d）\u3002<\/p>\n

        \n

        \u672c\u6587\u8f6c\u8f7d\u81ea\u5fae\u4fe1\u516c\u4f17\u53f7\u300cStockStudy\u56ed\u5730\u300d（\u4f5c\u8005：\u5317\u65b9\u72fc），\u539f\u6587\u53d1\u5e03\u4e8e 2026\u5e748\u67085\u65e5\u3002\u4ec5\u4f9b\u5b66\u4e60\u4ea4\u6d41，\u7248\u6743\u5f52\u539f\u4f5c\u8005\u6240\u6709\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

        \u539f\u521b | \u6765\u81ea\u5317\u65b9\u72fc \u00b7 StockStudy\u56ed\u5730 | 2026\u5e748\u67085\u65e5 17:41 \u91cd\u5e86\u524d\u7f6e\u8bf4\u660e：\u5982\u9700\u8981\u4e0b\u8f7d\u672c\u6587\u4ee3\u7801（\u5171\u6709 360M \u5de6\u53f3，\u57fa\u7840\u6570\u636e），\u8bf7\u5927\u5bb6\u5173\u6ce8\u5fae\u4fe1\u516c\u4f17\u53f7：\u201cStockStudy\u56ed\u5730\u201d \u540e\u53f0\u56de\u590d：
        \n\u56de\u590d：\u57fa\u7840\u6570\u636e，\u5c31\u53ef\u4ee5\u4e0b\u8f7d\u57fa\u7840\u6570\u636e\u3002\u56de\u590d：\u535a\u683c\u9009\u80a1\u4ee3\u7801，\u5c31\u53ef\u4ee5\u4e0b\u8f7d\u672c\u6587\u7b97\u6cd5\u4ee3\u7801\u3002\u56de\u590d：\u535a\u683c\u9009<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[81],"topic":[],"class_list":["post-90688","post","type-post","status-publish","format-standard","hentry","category-server","tag-python"],"yoast_head":"\n\u6bcf\u65e5\u8d22\u7ecf\u77e5\u8bc6\uff1a\u535a\u683c\u516c\u5f0f\u9009\u80a1\u2014\u2014\u4e00\u4e2a\u516c\u5f0f\uff0c\u7b5b\u51fa\u80fd\u957f\u671f\u6301\u6709\u7684\u597d\u516c\u53f8\uff08\u57fa\u4e8e\uff1aTuShare API\uff09 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/90688.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u6bcf\u65e5\u8d22\u7ecf\u77e5\u8bc6\uff1a\u535a\u683c\u516c\u5f0f\u9009\u80a1\u2014\u2014\u4e00\u4e2a\u516c\u5f0f\uff0c\u7b5b\u51fa\u80fd\u957f\u671f\u6301\u6709\u7684\u597d\u516c\u53f8\uff08\u57fa\u4e8e\uff1aTuShare API\uff09 - 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