{"id":3390,"date":"2026-01-16T07:19:16","date_gmt":"2026-01-15T23:19:16","guid":{"rendered":"https:\/\/www.laoyulaoyu.com\/?p=3390"},"modified":"2026-01-08T23:28:03","modified_gmt":"2026-01-08T15:28:03","slug":"%e5%bd%93python%e9%87%8f%e5%8c%96%e9%81%87%e8%a7%81%e5%bd%bc%e5%be%97%c2%b7%e6%9e%97%e5%a5%87%ef%bc%9a%e6%89%be%e5%af%bb%e6%95%b0%e6%8d%ae%e8%83%8c%e5%90%8e%e7%9a%84%e4%bb%b7%e5%80%bc%e9%94%9a","status":"publish","type":"post","link":"https:\/\/laoyulaoyu.com\/index.php\/2026\/01\/16\/%e5%bd%93python%e9%87%8f%e5%8c%96%e9%81%87%e8%a7%81%e5%bd%bc%e5%be%97%c2%b7%e6%9e%97%e5%a5%87%ef%bc%9a%e6%89%be%e5%af%bb%e6%95%b0%e6%8d%ae%e8%83%8c%e5%90%8e%e7%9a%84%e4%bb%b7%e5%80%bc%e9%94%9a\/","title":{"rendered":"\u5f53Python\u91cf\u5316\u9047\u89c1\u5f7c\u5f97\u00b7\u6797\u5947\uff1a\u627e\u5bfb\u6570\u636e\u80cc\u540e\u7684\u4ef7\u503c\u951a\u70b9\uff08\u9644\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>\u8fd9\u4e2aAI\u65f6\u4ee3\uff0c\u4f20\u7edf\u7684\u4ef7\u503c\u8bc4\u4f30\u903b\u8f91\u8fd8\u6709\u4ef7\u503c\u5417\uff1f\u8001\u4f59\u89c9\u5f97\u8fc7\u671f\u53ef\u80fd\u53ea\u662f\u4e00\u4e9b\u4f4e\u6548\u5de5\u5177\uff0c\u4e3a\u4e86\u9a8c\u8bc1\u8fd9\u4e2a\u8bf4\u6cd5\uff0c\u6211\u628a\u5f7c\u5f97\u00b7\u6797\u5947\u90a3\u5957\u5c01\u795e\u7684\u9009\u80a1\u6a21\u578b\u5199\u6210\u4e86\u4ee3\u7801<\/mark>\uff0c\u505a\u51fa\u4e86\u4e00\u4e2a\u201c\u6570\u5b57\u5316\u5206\u62e3\u5668\u201d\u3002\u63a5\u4e0b\u6765\u4e0d\u804a\u865a\u7684\uff0c\u76f4\u63a5\u5e26\u4f60\u62c6\u89e3\u8fd9\u4e2a\u81ea\u52a8\u5316\u5206\u6790\u5668\u7684\u903b\u8f91\uff0c\u770b\u6211\u4eec\u5982\u4f55\u7528\u6280\u672f\u628a\u5927\u5e08\u7684\u667a\u6167\u88c5\u8fdb\u53e3\u888b\u3002<\/pre>\n<\/blockquote>\n\n\n\n
\u4e00\u3001\u4e86\u89e3\u5f7c\u5f97\u00b7\u6797\u5947\u51b3\u7b56\u4f53\u7cfb<\/strong><\/h2>\n\n\n\n
\u201c\u5982\u679c\u4f60\u5728\u4e00\u5bb6\u516c\u53f8\u8eab\u4e0a\u6295\u8d44\u7684\u65f6\u95f4\u8fd8\u4e0d\u5982\u4f60\u6311\u4e00\u4e2a\u51b0\u7bb1\u7684\u65f6\u95f4\u957f\uff0c\u90a3\u4f60\u5927\u6982\u7387\u662f\u5728\u4ea4\u5b66\u8d39\u3002\u201d\u00a0<\/strong>\u2014\u2014 \u8fd9\u662f\u5f7c\u5f97\u00b7\u6797\u5947\u7ed9\u6211\u4eec\u7684\u5fe0\u544a\u3002<\/em><\/pre>\n\n\n\n
\u5f88\u591a\u4eba\u62ffPython\u505a\u201c\u6280\u672f\u5206\u6790\u201d\uff0c\u753b\u5e03\u6797\u7ebf\u3001\u7b97\u52a8\u91cf\u6307\u6807\uff0c\u4f46\u771f\u6b63\u80fd\u51b3\u5b9a\u957f\u671f\u6536\u76ca\u7684\u662f\u4ec0\u4e48\uff0c\u4f60\u6709\u8ba4\u771f\u60f3\u8fc7\u5417\uff1f\u5f7c\u5f97\u00b7\u6797\u5947\uff08Peter Lynch\uff09\u662f\u7f8e\u80a1\u53f2\u4e0a\u4f20\u5947\u57fa\u91d1\u7ecf\u7406\uff0c\u5f53\u5e74\u628a\u9ea6\u54f2\u4f26\u57fa\u91d1\u505a\u5230\u4e16\u754c\u7b2c\u4e00\u3002\u4ed6\u63d0\u51fa\u7684\u6295\u8d44\u4f53\u7cfb\u5f3a\u8c03\u201c\u4ee5\u5408\u7406\u7684\u4ef7\u683c\uff0c\u6301\u6709\u5177\u5907\u6210\u957f\u6027\u7684\u597d\u516c\u53f8<\/strong>\u201d\u3002<\/p>\n\n\n\n
\u8fd9\u5957\u4f53\u7cfb\u6709\u4e00\u4e2a\u6838\u5fc3\uff1a\u201c\u5206\u7c7b+\u6307\u6807+\u903b\u8f91\u5224\u65ad\u201d\uff0c\u4e0d\u540c\u7c7b\u522b\u7684\u516c\u53f8\u7528\u4e0d\u540c\u6307\u6807\u5224\u65ad\u5176\u662f\u5426\u6709\u6295\u8d44\u4ef7\u503c\u3002\u6797\u5947\u628a\u516c\u53f8\u5206\u4e3a\u51e0\u79cd\u7c7b\u578b\uff0c\u6bcf\u79cd\u7c7b\u578b\u5173\u6ce8\u4e0d\u540c\u7684\u6307\u6807\uff1a<\/p>\n\n\n\n
    \n
  • \ud83c\udf31\u00a0\u9ad8\u901f\u6210\u957f\u578b\uff08Fast Grower\uff09<\/strong>\uff1a\u770b\u5e02\u76c8\u7387\u4e0e PEG \u6307\u6807\uff1b<\/li>\n\n\n\n
  • \ud83e\udeb4\u00a0\u6162\u901f\u6210\u957f\u578b\uff08Slow Grower\uff09<\/strong>\uff1a\u5173\u6ce8\u80a1\u606f\u7387\uff1b<\/li>\n\n\n\n
  • \ud83d\udee1\u00a0\u7a33\u5065\u578b\uff08Stalwart\uff09<\/strong>\uff1a\u5927\u516c\u53f8\u7684\u7a33\u5b9a\u6027\uff1b<\/li>\n\n\n\n
  • \ud83d\udcc9\u00a0\u5468\u671f\u6027\u516c\u53f8\uff08Cyclical\uff09<\/strong>\uff1a\u5173\u6ce8\u5e93\u5b58\u4e0e\u9500\u552e\u589e\u957f\uff1b<\/li>\n\n\n\n
  • \ud83d\udd04\u00a0\u8f6c\u673a\u578b\uff08Turnaround\uff09<\/strong>\uff1a\u68c0\u67e5\u8d1f\u503a\u6c34\u5e73\uff1b<\/li>\n\n\n\n
  • \ud83c\udfed\u00a0\u8d44\u4ea7\u578b\uff08Asset Play\uff09<\/strong>\uff1a\u770b\u8d26\u9762\u4ef7\u503c\uff0c\u5176\u4e2d\u6700\u6838\u5fc3\u7684\u81ea\u52a8\u5316\u68c0\u67e5\u662f\u5e93\u5b58\u662f\u5426\u589e\u957f\u5feb\u4e8e\u9500\u552e\u2014\u2014\u5982\u679c\u662f\uff0c\u90a3\u5f80\u5f80\u662f\u9700\u6c42\u653e\u7f13\u7684\u8b66\u544a\u4fe1\u53f7\u3002<\/li>\n<\/ul>\n\n\n\n
    \u8fd9\u4e2a\u5206\u7c7b\u6cd5\uff0c\u5c31\u662f\u6211\u4eec\u6784\u5efa\u6570\u5b57\u5316\u5206\u62e3\u5668\u7684\u5730\u57fa\u3002\u6211\u4eec\u7684\u7a0b\u5e8f\u9996\u5148\u8981\u80fd\u5224\u65ad\u4e00\u53ea\u80a1\u7968\u5927\u6982\u5c5e\u4e8e\u54ea\u4e00\u7c7b\u3002<\/p>\n\n\n\n
    \u7136\u540e\u4f7f\u7528\u5f7c\u5f97\u00b7\u6797\u5947\u4ed6\u6700\u770b\u91cd\u7b2c\u4e00\u4e2a\u6307\u6807\uff08PEG\uff09\uff0c\u5c31\u662f\u62ff\u5e02\u76c8\u7387\u9664\u4ee5\u589e\u957f\u7387\u3002\u8fd9\u4e2a\u6570\u5b57\u5c0f\u4e8e1\uff0c\u8bf4\u660e\u53ef\u80fd\u6709\u673a\u4f1a\uff1b\u5927\u4e8e2\uff0c\u5c31\u5f97\u5c0f\u5fc3\u4e86\u3002\u7b80\u5355\u5427\uff1f<\/p>\n\n\n\n
    \u63a5\u4e0b\u6765\u54b1\u4eec\u5c31\u7528\u4ee3\u7801\u628a\u6797\u5947\u7b5b\u9009\u201c\u7269\u7f8e\u4ef7\u5ec9\u201d\u6210\u957f\u80a1\u7684\u903b\u8f91\u53d8\u6210\u4ee3\u7801\u3002<\/p>\n\n\n\n
    \u4e8c\u3001\u51c6\u5907\u5de5\u4f5c<\/strong><\/h2>\n\n\n\n
    \u8981\u505a\u8fd9\u4e2a\u5de5\u5177\uff0c\u4f60\u5f97\u5728\u7535\u8111\u4e0a\u88c5\u4e2aPython\u3002\u53bbPython\u5b98\u7f51\u4e0b\u4e2a\u6700\u65b0\u7248\uff0c\u5b89\u88c5\u65f6\u52fe\u9009”Add to PATH”\uff0c\u4e00\u8def\u4e0b\u4e00\u6b65\u5c31\u884c\u3002<\/p>\n\n\n\n
    \u7136\u540e\u6253\u5f00\u547d\u4ee4\u884c\uff08Windows\u6309Win+R\uff0c\u8f93\u5165cmd\uff1bMac\u76f4\u63a5\u627e\u7ec8\u7aef\uff09\uff0c\u8f93\u5165\u8fd9\u51e0\u884c\uff1a<\/p>\n\n\n\n
    pip install yfinance pandas matplotlib seaborn<\/code><\/pre>\n\n\n\n
      \n
    • yfinance\uff1a<\/strong>\u4ece\u96c5\u864e\u8d22\u7ecf\u514d\u8d39\u6252\u6570\u636e\uff0c\u4e0d\u7528\u6ce8\u518cAPI key\uff0c\u826f\u5fc3\u3002<\/li>\n\n\n\n
    • pandas\uff1a<\/strong>\u5904\u7406\u8868\u683c\u6570\u636e\uff0c\u795e\u5668\u3002<\/li>\n\n\n\n
    • matplotlib\u548cseaborn\uff1a<\/strong>\u753b\u56fe\u7528\u7684\uff0c\u8ba9\u7ed3\u679c\u770b\u7740\u597d\u770b\u70b9\u3002<\/li>\n<\/ul>\n\n\n\n
      \u88c5\u5b8c\u5c31\u80fd\u5f00\u5de5\u4e86\u3002<\/p>\n\n\n\n
      \u4e09\u3001\u6838\u5fc3\u4ee3\u7801<\/strong><\/h2>\n\n\n\n
      \u5148\u4e0a\u5f00\u80c3\u83dc\uff0c\u54b1\u4eec\u5199\u4e2a\u51fd\u6570\u62ff\u6570\u636e\uff1a<\/p>\n\n\n\n
      import yfinance as yf<\/code>import pandas as pd<\/code>import matplotlib.pyplot as plt<\/code>import seaborn as sns<\/code><\/code>def get_stock_data(ticker):<\/code>    \"\"\"<\/code>    \u6839\u636e\u80a1\u7968\u4ee3\u7801\u62ff\u6570\u636e\uff0cticker\u5c31\u662f\u4ee3\u7801\uff0c\u6bd4\u5982AAPL<\/code>    \"\"\"<\/code>    stock = yf.Ticker(ticker)<\/code>    # \u62ff\u6700\u8fd1\u4e09\u5e74\u7684\u65e5\u7ebf\u6570\u636e<\/code>    hist_data = stock.history(period=\"3y\", interval=\"1d\")<\/code>    # \u62ff\u8d22\u52a1\u6570\u636e<\/code>    info = stock.info<\/code>    return hist_data, info<\/code><\/code># \u8bd5\u8bd5\u62ff\u82f9\u679c\u7684\u6570\u636e<\/code>hist, info = get_stock_data(\"AAPL\")<\/code>print(f\"\u6700\u8fd1\u4e94\u5929\u4ef7\u683c\uff1a\\n{hist.tail()}\")<\/code><\/code><\/pre>\n\n\n\n
      \u8fd9\u6bb5\u4ee3\u7801\u8dd1\u5b8c\uff0c\u4f60\u5c31\u80fd\u770b\u5230\u82f9\u679c\u6700\u8fd1\u4e94\u5e74\u7684\u80a1\u4ef7\u8d70\u52bf\u3002yfinance\u8fd9\u4e2a\u5e93\u771f\u633a\u65b9\u4fbf\uff0c\u4e00\u884c\u4ee3\u7801\u5c31\u628a\u6570\u636e\u62c9\u4e0b\u6765\u4e86\u3002<\/p>\n\n\n\n
      \u63a5\u4e0b\u6765\u662f\u91cd\u70b9\uff1a\u7b97PEG\u3002\u5f7c\u5f97\u00b7\u6797\u5947\u8bf4\uff0cPEG=\u5e02\u76c8\u7387\/\u589e\u957f\u7387\u3002\u4f46\u8fd9\u91cc\u6709\u4e2a\u5751\uff1a\u589e\u957f\u7387\u5f97\u7528\u957f\u671f\u7684\uff0c\u6bd4\u5982\u672a\u67655\u5e74\u7684\u9884\u671f\u589e\u957f\u7387\u3002yfinance\u91cc\u80fd\u62ff\u5230\u8fd9\u4e2a\u6570\u636e\uff0c\u53eb”pegRatio”\u3002<\/p>\n\n\n\n
      def analyze_stock(ticker):<\/code>    \"\"\"<\/code>    \u7efc\u5408\u5206\u6790\u4e00\u53ea\u80a1\u7968<\/code>    \"\"\"<\/code>    hist, info = get_stock_data(ticker)<\/code><\/code>    # \u6253\u5370\u57fa\u672c\u4fe1\u606f<\/code>    print(f\"\\n=== {ticker} \u57fa\u672c\u60c5\u51b5 ===\")<\/code>    print(f\"\u516c\u53f8\u540d\u79f0: {info.get('longName', 'N\/A')}\")<\/code>    print(f\"\u5f53\u524d\u4ef7\u683c: ${info.get('currentPrice', 'N\/A')}\")<\/code><\/code>    # \u5173\u952e\u6307\u6807<\/code>    pe_ratio = info.get('trailingPE', None)  # \u5e02\u76c8\u7387<\/code>    peg_ratio = info.get('pegRatio', None)   # PEG\u6bd4\u7387<\/code>    profit_margin = info.get('profitMargins', None)  # \u5229\u6da6\u7387<\/code><\/code>    print(f\"\u5e02\u76c8\u7387 (PE): {pe_ratio}\")<\/code>    print(f\"PEG\u6bd4\u7387: {peg_ratio}\")<\/code>    print(f\"\u5229\u6da6\u7387: {profit_margin}\")<\/code><\/code>    # \u5f7c\u5f97\u00b7\u6797\u5947\u7684\u6807\u51c6<\/code>    print(\"\\n=== \u8001\u4f59\u7684\u89e3\u8bfb ===\")<\/code>    if peg_ratio is not None:<\/code>        if peg_ratio < 1.0:<\/code>            print(f\"PEG={peg_ratio:.2f} (<1.0) - \u6309\u5f7c\u5f97\u00b7\u6797\u5947\u7684\u6807\u51c6\uff0c\u8fd9\u4e2a\u4f30\u503c\u8fd8\u7b97\u5408\u7406\")<\/code>        elif peg_ratio < 1.5:<\/code>            print(f\"PEG={peg_ratio:.2f} (1.0-1.5) - \u4f30\u503c\u4e2d\u7b49\uff0c\u5f97\u7ed3\u5408\u5176\u4ed6\u60c5\u51b5\u770b\")<\/code>        else:<\/code>            print(f\"PEG={peg_ratio:.2f} (>1.5) - \u4f30\u503c\u504f\u9ad8\uff0c\u5f97\u591a\u7559\u4e2a\u5fc3\u773c\")<\/code>    else:<\/code>        print(\"PEG\u6570\u636e\u62ff\u4e0d\u5230\uff0c\u8fd9\u53ea\u80a1\u7968\u53ef\u80fd\u6bd4\u8f83\u7279\u6b8a\")<\/code><\/code>    return {<\/code>        'ticker': ticker,<\/code>        'pe': pe_ratio,<\/code>        'peg': peg_ratio,<\/code>        'profit_margin': profit_margin<\/code>    }<\/code><\/code><\/pre>\n\n\n\n
      \u4ee3\u7801\u91cc\u7528\u7684`info.get()`\u662f\u4e3a\u4e86\u9632\u6b62\u6709\u4e9b\u6570\u636e\u4e0d\u5b58\u5728\u5bfc\u81f4\u7a0b\u5e8f\u5d29\u6e83\u3002\u8fd9\u53eb\u9632\u5fa1\u6027\u7f16\u7a0b\uff0c\u5199\u4ee3\u7801\u7684\u597d\u4e60\u60ef\u3002<\/p>\n\n\n\n
      \u56db\u3001\u6279\u91cf\u626b\u63cf<\/strong><\/h2>\n\n\n\n
      \u5355\u53ea\u80a1\u7968\u5206\u6790\u4e0d\u8fc7\u763e\uff1f\u8001\u4f59\u518d\u6559\u4f60\u4e00\u62db\uff1a\u6279\u91cf\u626b\u63cf\u3002\u9009\u4e86\u4e94\u53ea\u5927\u5bb6\u719f\u6089\u7684\u80a1\u7968\u8dd1\u4e00\u904d\uff0c\u8fd9\u4e2a\u626b\u63cf\u51fd\u6570\u7528\u7684\u662f\u5f7c\u5f97\u00b7\u6797\u5947\u6700\u7ecf\u5178\u7684\u6807\u51c6\uff1aPEG\u5c0f\u4e8e1\u4e14PE\u5c0f\u4e8e25\u3002<\/p>\n\n\n\n
      \u8dd1\u4e00\u904d\u6574\u4e2a\u5e02\u573a\uff0c\u80fd\u628a\u5927\u90e8\u5206\u9ad8\u4f30\u7684\u80a1\u7968\u8fc7\u6ee4\u6389\u3002\u4e0d\u8fc7\u73b0\u5b9e\u5f88\u6b8b\u9177\uff0c\u5728\u7f8e\u80a1\u5e02\u573a\uff0c\u7279\u522b\u662f\u79d1\u6280\u80a1\u91cc\uff0c\u7b26\u5408\u8fd9\u4e2a\u6807\u51c6\u7684\u8d8a\u6765\u8d8a\u5c11\u4e86\u3002<\/p>\n\n\n\n
      def scan_stocks(ticker_list):<\/code>    \"\"\"<\/code>    \u6279\u91cf\u626b\u63cf\u4e00\u5806\u80a1\u7968\uff0c\u8f93\u51fa\u7b26\u5408\u6761\u4ef6\u7684<\/code>    \"\"\"<\/code>    candidates = []<\/code><\/code>    for ticker in ticker_list:<\/code>        try:<\/code>            hist, info = get_stock_data(ticker)<\/code>            peg = info.get('pegRatio', None)<\/code>            pe = info.get('trailingPE', None)<\/code><\/code>            # \u5f7c\u5f97\u00b7\u6797\u5947\u7ecf\u5178\u6807\u51c6\uff1aPEG<1.0\u4e14PE<25<\/code>            if peg is not None and pe is not None:<\/code>                if peg < 1.0 and pe < 25:<\/code>                    candidates.append({<\/code>                        '\u4ee3\u7801': ticker,<\/code>                        '\u516c\u53f8': info.get('longName', ''),<\/code>                        'PE': pe,<\/code>                        'PEG': peg,<\/code>                        '\u5e02\u503c(\u4ebf)': info.get('marketCap', 0) \/ 1e8<\/code>                    })<\/code>                    print(f\"\u53d1\u73b0\u5019\u9009\uff1a{ticker}\uff0cPE={pe:.2f}\uff0cPEG={peg:.2f}\")<\/code>        except:<\/code>            continue<\/code><\/code>    return pd.DataFrame(candidates)<\/code><\/code># \u5b9a\u4e49\u4e00\u6279\u7f8e\u80a1\u79d1\u6280\u80a1\u7684\u4ee3\u7801<\/code>tech_stocks = ['AAPL', 'MSFT', 'GOOGL', 'AMZN', 'META', 'TSLA', 'NVDA', 'NFLX', 'ORCL', 'CRM', 'AMD', 'INTC', 'ADBE', 'CRM']<\/code><\/code>print(\"\\n=== \u5f00\u59cb\u6279\u91cf\u626b\u63cf ===\")<\/code>candidates = scan_stocks(tech_stocks)<\/code>print(f\"\\n\u626b\u63cf\u5b8c\u6210\uff0c\u5171\u53d1\u73b0 {len(candidates)} \u53ea\u7b26\u5408\u6761\u4ef6\u7684\u80a1\u7968\")<\/code>print(candidates)<\/code><\/code><\/pre>\n\n\n\n
      \u7ed3\u679c\u505a\u6210\u8868\u683c\u7ed9\u4f60\u770b\uff1a<\/p>\n\n\n\n
      \u80a1\u7968\u4ee3\u7801<\/th>\u516c\u53f8\u540d\u79f0<\/th>\u5e02\u76c8\u7387<\/th>PEG\u6bd4\u7387<\/th>\u5229\u6da6\u7387<\/th>\u8001\u4f59\u70b9\u8bc4<\/th><\/tr><\/thead>
      AAPL<\/td>\u82f9\u679c\u516c\u53f8<\/td>28.5<\/td>2.56<\/td>25.3%<\/td>PEG\u504f\u9ad8\uff0c\u4f30\u503c\u4e0d\u4fbf\u5b9c<\/td><\/tr>
      MSFT<\/td>\u5fae\u8f6f<\/td>30.2<\/td>2.31<\/td>36.7%<\/td>\u4e00\u6837\u7684\u95ee\u9898\uff0c\u6da8\u592a\u591a\u4e86<\/td><\/tr>
      TSLA<\/td>\u7279\u65af\u62c9<\/td>45.8<\/td>1.85<\/td>15.4%<\/td>\u4f30\u503c\u9ad8\uff0c\u4f46\u589e\u957f\u7387\u4e5f\u9ad8<\/td><\/tr>
      GOOGL<\/td>\u8c37\u6b4c<\/td>23.5<\/td>1.42<\/td>27.8%<\/td>\u76f8\u5bf9\u5408\u7406\uff0c\u4e2d\u6027\u770b\u6cd5<\/td><\/tr>
      NVDA<\/td>\u82f1\u4f1f\u8fbe<\/td>62.3<\/td>1.21<\/td>48.8%<\/td>\u4f30\u503c\u9ad8\uff0c\u4f46AI\u6545\u4e8b\u786c<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
      \u770b\u660e\u767d\u6ca1\uff1fPEG\u4f4e\u7684\u4e0d\u4e00\u5b9a\u5c31\u662f\u597d\uff0c\u6bd4\u5982\u6709\u4e9b\u4f20\u7edf\u884c\u4e1aPEG\u4f4e\u662f\u56e0\u4e3a\u589e\u957f\u4e5f\u6162\u3002\u5f7c\u5f97\u00b7\u6797\u5947\u5f3a\u8c03\u7684\u662f”\u5408\u7406\u4ef7\u683c\u7684\u589e\u957f”\uff0c\u4e24\u8005\u7f3a\u4e00\u4e0d\u53ef\u3002\u8bf4\u660e\u5e02\u573a\u6574\u4f53\u4f30\u503c\u4e0d\u4fbf\u5b9c\uff0c\u60f3\u6361\u6f0f\u5f97\u82b1\u66f4\u591a\u529f\u592b\u3002<\/p>\n\n\n\n
      \u4e94\u3001A\u80a1\u73a9\u5bb6\u600e\u4e48\u529e\uff1f<\/strong><\/h2>\n\n\n\n
      \u80af\u5b9a\u6709\u5144\u5f1f\u8981\u95ee\uff1a\u8001\u4f59\uff0c\u4f60\u6574\u7684\u8fd9\u4e9b\u90fd\u662f\u7f8e\u80a1\uff0c\u54b1\u4eecA\u80a1\u600e\u4e48\u7528\uff1f<\/p>\n\n\n\n
      A\u80a1\u7684\u6570\u636e\u6e90\u4e0d\u4e00\u6837\uff0cyfinance\u4e5f\u80fd\u62ff\u90e8\u5206A\u80a1\u6570\u636e\uff0c\u4f46\u4e0d\u592a\u5168\u3002\u54b1\u4eec\u53ef\u4ee5\u6539\u7528\u5176\u4ed6\u6570\u636e\u6e90\uff0c\u6bd4\u5982Tushare\u3001AKShare\u6216\u8005\u4e1c\u65b9\u8d22\u5bcc\u7684\u63a5\u53e3\u3002\u601d\u8def\u662f\u4e00\u6837\u7684\uff0c\u5c31\u662f\u6362\u6570\u636e\u6e90\u3002<\/strong><\/p>\n\n\n\n
      # A\u80a1\u7248\u6570\u636e\u83b7\u53d6\uff08\u9700\u8981\u5b89\u88c5akshare\uff09<\/code># pip install akshare<\/code><\/code>import akshare as ak<\/code><\/code>def get_a_stock_data(symbol):<\/code>    \"\"\"<\/code>    \u83b7\u53d6A\u80a1\u6570\u636e\uff0csymbol\u683c\u5f0f\uff1a600519.SH<\/code>    \"\"\"<\/code>    # \u62ff\u65e5\u7ebf\u6570\u636e<\/code>    hist_data = ak.stock_zh_a_hist(symbol=symbol.split('.')[0], period=\"daily\", start_date=\"20210101\", adjust=\"qfq\")<\/code><\/code>    # \u62ff\u57fa\u672c\u9762\u6570\u636e<\/code>    info = ak.stock_individual_info_em(symbol=symbol.split('.')[0])<\/code><\/code>    return hist_data, info<\/code><\/code># \u5206\u6790A\u80a1<\/code># analyze_a_stock('600519.SH')  # \u8305\u53f0<\/code><\/code><\/pre>\n\n\n\n
      \u8fd9\u4e2a\u5c31\u4e0d\u5c55\u5f00\u8bf4\u4e86\uff0c\u514d\u5f97\u6709\u4eba\u8bf4\u8001\u4f59\u6253\u5e7f\u544a\u3002\u6838\u5fc3\u601d\u8def\u544a\u8bc9\u4f60\uff0c\u5177\u4f53\u5b9e\u73b0\u81ea\u5df1\u7814\u7a76\u53bb\u3002<\/p>\n\n\n\n
      \u516d\u3001\u5c0f\u8d34\u58eb<\/strong><\/h2>\n\n\n\n
      \u6211\u505a\u8fd9\u4e2a\u5de5\u5177\uff0c\u521d\u8877\u662f\u5e2e\u5927\u5bb6\u628a\u57fa\u7840\u7684\u6570\u636e\u7b5b\u9009\u5de5\u4f5c\u81ea\u52a8\u5316\u3002\u7701\u4e0b\u6765\u7684\u65f6\u95f4\uff0c\u4f60\u5f97\u7528\u5728\u771f\u6b63\u6709\u4ef7\u503c\u7684\u5730\u65b9\u2014\u2014\u7814\u7a76\u516c\u53f8\u4e1a\u52a1\u3001\u7406\u89e3\u884c\u4e1a\u8d8b\u52bf\u3001\u8ddf\u8e2a\u7ba1\u7406\u5c42\u52a8\u6001\u3002<\/p>\n\n\n\n
      \u8bb0\u4f4f\u5f7c\u5f97\u00b7\u6797\u5947\u7684\u4e09\u53e5\u8bdd\uff1a<\/p>\n\n\n\n