{"id":2713,"date":"2025-10-09T07:21:00","date_gmt":"2025-10-08T23:21:00","guid":{"rendered":"https:\/\/www.laoyulaoyu.com\/?p=2713"},"modified":"2025-09-21T19:22:20","modified_gmt":"2025-09-21T11:22:20","slug":"%e6%88%90%e4%ba%a4%e9%87%8f%e4%b8%8d%e4%bc%9a%e8%af%b4%e8%b0%8e%ef%bc%9a%e7%94%a8%e6%9c%80%e7%9b%b4%e8%a7%82%e7%9a%84%e5%a4%9a%e7%a9%ba%e5%8a%9b%e9%87%8f%e5%8d%9a%e5%bc%88%e5%9c%b0%e5%9b%be%e9%a2%84","status":"publish","type":"post","link":"https:\/\/www.laoyulaoyu.com\/index.php\/2025\/10\/09\/%e6%88%90%e4%ba%a4%e9%87%8f%e4%b8%8d%e4%bc%9a%e8%af%b4%e8%b0%8e%ef%bc%9a%e7%94%a8%e6%9c%80%e7%9b%b4%e8%a7%82%e7%9a%84%e5%a4%9a%e7%a9%ba%e5%8a%9b%e9%87%8f%e5%8d%9a%e5%bc%88%e5%9c%b0%e5%9b%be%e9%a2%84\/","title":{"rendered":"\u6210\u4ea4\u91cf\u4e0d\u4f1a\u8bf4\u8c0e\uff1a\u7528\u6700\u76f4\u89c2\u7684\u591a\u7a7a\u529b\u91cf\u535a\u5f08\u5730\u56fe\u9884\u5224\u6da8\u8dcc\uff0c\u4ee3\u7801\u76f4\u63a5\u6284\u8d70\uff01"},"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>\u4eca\u5929\u6559\u5927\u5bb6\u4e00\u4e2a\u91cf\u5316\u5206\u6790\u80a1\u7968\u8d44\u91d1\u6d41\u5411\u7684\u786c\u6838\u65b9\u6cd5<\/mark>\uff0c\u628a\u6210\u4ea4\u91cf\u6309\u4ef7\u683c\u548c\u65b9\u5411\u753b\u6210\u56fe\uff0c\u4e00\u773c\u770b\u7a7f\u591a\u7a7a\u529b\u91cf\u5bf9\u6bd4\uff01\u8fd9\u4e2a\u5de5\u5177\u80fd\u5e2e\u4f60\u627e\u5230\u4e3b\u529b\u771f\u5b9e\u610f\u56fe\uff0c\u8f7b\u677e\u8bc6\u522b\u5173\u952e\u652f\u6491\u963b\u529b\u4f4d<\/mark>\u3002\u6587\u4e2d\u6709\u5b8c\u6574\u4ee3\u7801\uff0c\u624b\u628a\u624b\u6559\u4f60\u5b9e\u73b0\u3002<\/pre>\n<\/blockquote>\n\n\n\n
\u4e00\u3001\u4ec0\u4e48\u662f\u5e02\u573a\u538b\u529b\u53ef\u89c6\u5316\uff1f<\/strong><\/h2>\n\n\n\n
\u4f60\u662f\u4e0d\u662f\u7ecf\u5e38\u76ef\u7740K\u7ebf\u56fe\u91cc\u7684\u6210\u4ea4\u91cf\u67f1\u5b50\u53d1\u61f5\u3002<\/p>\n\n\n\n
    \n
  • \u4f20\u7edf\u6210\u4ea4\u91cf\u53ea\u80fd\u544a\u8bc9\u4f60\u8fd9\u91cc\u4ea4\u6613\u6d3b\u8dc3\uff0c\u4f46\u4e70\u65b9\u548c\u5356\u65b9\u5230\u5e95\u8c01\u5728\u4e3b\u5bfc\uff1f<\/li>\n\n\n\n
  • \u8d44\u91d1\u96c6\u4e2d\u5728\u4ec0\u4e48\u4ef7\u683c\u533a\u95f4\uff1f<\/li>\n<\/ul>\n\n\n\n
    \u8fd9\u4e9b\u5173\u952e\u95ee\u9898\u5b83\u7b54\u4e0d\u4e0a\u6765\u3002\u4e3e\u4e2a\u6817\u5b50\ud83c\udf30\uff1a<\/p>\n\n\n\n
      \n
    • \u5982\u679c\u67d0\u5929\u80a1\u4ef7\u4e0a\u6da8\uff0c\u6210\u4ea4\u91cf\u653e\u5927\uff0c\u53ef\u80fd\u662f\u4e3b\u529b\u5438\u7b79\uff1b<\/li>\n\n\n\n
    • \u4e5f\u53ef\u80fd\u662f\u6563\u6237\u75af\u72c2\u63a5\u76d8\uff0c\u7b2c\u4e8c\u5929\u76f4\u63a5\u7838\u76d8\u2026<\/li>\n<\/ul>\n\n\n\n
      \u5149\u770b\u6210\u4ea4\u91cf\u5c31\u50cf\u96fe\u91cc\u770b\u82b1\uff0c\u800c\u4f20\u7edf\u7684\u6210\u4ea4\u91cf\u6307\u6807\u53ea\u80fd\u544a\u8bc9\u6211\u4eec”\u4ea4\u6613\u4e86\u591a\u5c11”\uff0c\u4f46\u4e0d\u80fd\u544a\u8bc9\u6211\u4eec”\u5728\u54ea\u91cc\u4ea4\u6613\u7684”\u548c”\u8c01\u5728\u4e3b\u5bfc”\u3002\u4eca\u5929\u6211\u8981\u6559\u5927\u5bb6\u7684\u65b9\u6cd5\uff0c\u5c31\u80fd\u5b8c\u7f8e\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u3002<\/p>\n\n\n\n
      \u7b80\u5355\u8bf4\uff0c\u6211\u4eec\u5c31\u662f\u628a\u6210\u4ea4\u91cf\u6309\u7167\u4e24\u4e2a\u7ef4\u5ea6\u8fdb\u884c\u5206\u7c7b\uff1a<\/p>\n\n\n\n
        \n
      • \u6309\u4ef7\u683c\u5206\uff1a\u628a\u76f8\u8fd1\u7684\u4ea4\u6613\u4ef7\u683c\u5f52\u4e3a\u4e00\u7c7b\u3002<\/li>\n\n\n\n
      • \u6309\u65b9\u5411\u5206\uff1a\u533a\u5206\u662f\u4e70\u5165\u4e3b\u5bfc\u8fd8\u662f\u5356\u51fa\u4e3b\u5bfc\u3002<\/li>\n<\/ul>\n\n\n\n
        \u8fd9\u6837\u6211\u4eec\u5c31\u80fd\u770b\u5230\uff1a\u5728\u54ea\u4e2a\u4ef7\u683c\u533a\u95f4\u4e70\u5165\u529b\u91cf\u5f3a\uff0c\u5728\u54ea\u4e2a\u4ef7\u683c\u533a\u95f4\u5356\u51fa\u529b\u91cf\u5f3a\u3002<\/strong><\/p>\n\n\n\n
        \u60f3\u8c61\u4e00\u4e0b\uff0c\u8fd9\u5c31\u50cf\u662f\u4e00\u573a\u62d4\u6cb3\u6bd4\u8d5b\u3002\u5de6\u8fb9\u662f\u4e70\u65b9\u961f\u4f0d\uff0c\u53f3\u8fb9\u662f\u5356\u65b9\u961f\u4f0d\u3002\u6211\u4eec\u7684\u56fe\u8868\u5c31\u662f\u770b\u4e24\u8fb9\u5728\u54ea\u4e2a\u4f4d\u7f6e\u4f7f\u4e86\u591a\u5927\u7684\u529b\u6c14\u3002<\/p>\n\n\n\n
        \u4e8c\u3001\u53cc\u4fa7\u6a21\u578b\u6838\u5fc3\u539f\u7406<\/strong><\/h2>\n\n\n\n
        \u4f20\u7edf\u6210\u4ea4\u91cf\u53ea\u770b\u603b\u91cf\uff0c\u4e0d\u7ba1\u65b9\u5411\u3002\u6211\u4eec\u6539\u6210\u53cc\u4fa7\uff1a\u4e00\u8fb9\u4e70\u5bb6\uff0c\u4e00\u8fb9\u5356\u5bb6\u3002<\/p>\n\n\n\n
        \u6211\u4eec\u53ea\u9700\u8981\u4e09\u4e2a\u6b65\u9aa4\uff1a<\/p>\n\n\n\n
          \n
        1. \u533a\u5206\u4e70\u5356\u65b9\u5411<\/strong>\uff1a\u6536\u76d8\u4ef7\u9ad8\u4e8e\u5f00\u76d8\u4ef7\u7b97\u4e70\u5165\uff0c\u4f4e\u4e8e\u5f00\u76d8\u4ef7\u7b97\u5356\u51fa\u3002<\/li>\n\n\n\n
        2. \u4ef7\u683c\u5206\u6876<\/strong>\uff1a\u628a\u76f8\u8fd1\u7684\u4ef7\u683c\u5206\u6210\u4e00\u7ec4\u3002<\/li>\n\n\n\n
        3. \u6210\u4ea4\u91cf\u6c47\u603b<\/strong>\uff1a\u8ba1\u7b97\u6bcf\u4e2a\u4ef7\u683c\u533a\u95f4\u5185\u7684\u603b\u6210\u4ea4\u91cf\u3002<\/li>\n<\/ol>\n\n\n\n
          \u5177\u4f53\u516c\u5f0f\u662f\u8fd9\u6837\u7684\uff1a<\/p>\n\n\n\n
          \u4e70\u5165\u6210\u4ea4\u91cf = \u6240\u6709\u6536\u76d8\u4ef7 > \u5f00\u76d8\u4ef7\u7684\u4ea4\u6613\u65e5\u7684\u6210\u4ea4\u91cf\u603b\u548c\n\u5356\u51fa\u6210\u4ea4\u91cf = \u6240\u6709\u6536\u76d8\u4ef7 < \u5f00\u76d8\u4ef7\u7684\u4ea4\u6613\u65e5\u7684\u6210\u4ea4\u91cf\u603b\u548c<\/code><\/pre>\n\n\n\n
          \u7136\u540e\u7528\u4e00\u4e2a\u7b80\u5355\u7684\u6570\u5b66\u516c\u5f0f\u8fdb\u884c\u4ef7\u683c\u5206\u6876<\/strong>\uff1a<\/p>\n\n\n\n
          \"\"<\/figure>\n\n\n\n
          Pt\u200b \u8868\u793a\u7b2c t \u65e5\u7684\u6536\u76d8\u4ef7\uff0c\u03b4 \u8868\u793a\u6700\u5c0f\u53d8\u52a8\u4ef7\u4f4d\uff08\u4f8b\u5982 0.01 \u7f8e\u5143\uff09\u3002\u6bcf\u4e2a\u6876\u5305\u542b\u6536\u76d8\u4ef7\u63a5\u8fd1\u8be5\u4ef7\u683c\u7684\u65e5\u671f\u7684\u603b\u4ea4\u6613\u91cf\u3002<\/pre>\n\n\n\n
          \u4e00\u65e6\u5206\u6876\uff0c\u6211\u4eec\u63a5\u7740\u8ba1\u7b97\uff1a<\/strong><\/p>\n\n\n\n
          \"\"<\/figure>\n\n\n\n
          Ct\u200b\uff1a\u6536\u76d8\u4ef7\uff1bOt\u200b\uff1a\u5f00\u76d8\u4ef7\uff1bVt\u200b\uff1a\u97f3\u91cf\uff1bB\uff1a\u6240\u6709\u53ef\u89c1\u6761\u5f62\u7684\u96c6\u5408\uff1bp\uff1a\u4ef7\u683c\u533a\u95f4\uff1b<\/code><\/pre>\n\n\n\n
          \u63a5\u4e0b\u6765\u9700\u8981\u5bf9\u6bcf\u4e00\u65b9\u8fdb\u884c\u6807\u51c6\u5316\uff08\u6210\u4ea4\u91cf\u6c47\u603b<\/strong>\uff09\uff1a<\/strong><\/p>\n\n\n\n
          \"\"<\/figure>\n\n\n\n
          \u5cf0\u503c\u4ef7\uff08\u6700\u591a\u6210\u4ea4\u91cf\u7684\u4ef7\u4f4d\uff09\u3001\u4e2d\u4f4d\u4ef7\uff08\u7d2f\u79ef\u8d8550%\u7684\u4ef7\u4f4d\uff09\u3001\u6210\u4ea4\u91cf\u52a0\u6743\u5e73\u5747\u4ef7\uff08VWAP\uff0c\u6210\u4ea4\u91cf\u91cd\u7684\u4ef7\u4f4d\u5f71\u54cd\u5927\uff09\u3002<\/code><\/pre>\n\n\n\n
          \u901a\u8fc7\u8fd9\u4e2a\u7d2f\u8ba1\u767e\u5206\u6bd4\uff0c\u6211\u4eec\u80fd\u4e00\u773c\u770b\u51fa\u5728\u54ea\u4e2a\u4ef7\u4f4d\u533a\u95f4\uff0c\u4e70\u65b9\u6216\u5356\u65b9\u7684\u529b\u91cf\u7279\u522b\u96c6\u4e2d\u3002\u66f2\u7ebf\u8d8a\u9661\uff0c\u8bf4\u660e\u6210\u4ea4\u91cf\u8d8a\u96c6\u4e2d\u5728\u5c11\u6570\u51e0\u4e2a\u4ef7\u683c\u9644\u8fd1\uff0c\u663e\u793a\u51fa\u5f3a\u70c8\u7684\u591a\u7a7a\u51b3\u5fc3\u3002<\/p>\n\n\n\n
          \u4e09\u3001\u624b\u628a\u624b\u6559\u5b66<\/strong><\/h2>\n\n\n\n
          \u4e0b\u9762\u6211\u5c31\u5e26\u5927\u5bb6\u4e00\u6b65\u6b65\u5b9e\u73b0\u8fd9\u4e2a\u53ef\u89c6\u5316\u5206\u6790\u5de5\u5177\u3002<\/p>\n\n\n\n
          \u7b2c\u4e00\u6b65\uff1a\u73af\u5883<\/strong>\u51c6\u5907<\/strong><\/h3>\n\n\n\n
          \u9996\u5148\u5b89\u88c5\u5fc5\u8981\u7684\u5e93\uff1a<\/p>\n\n\n\n
          pip install yfinance pandas matplotlib numpy<\/pre>\n\n\n\n
          \u8bbe\u7f6e\u53c2\u6570\u548c\u4e0b\u8f7d\u6570\u636e\uff1a\u5148\u5bfc\u5165\u5e93\uff0c\u8bbe\u53c2\u6570\u3002\u80a1\u7968\u4ee3\u7801\u3001\u8d77\u59cb\u7ed3\u675f\u65e5\u671f\u3001\u95f4\u9694\u3001\u53ef\u89c1\u67f1\u5b50\u6570\u3001\u4ef7\u683c\u95f4\u9694\u3002<\/p>\n\n\n\n
          import numpy as np
          import pandas as pd
          import yfinance as yf
          import matplotlib.pyplot as plt
          from matplotlib.dates import AutoDateLocator, AutoDateFormatter

          # \u7528\u6237\u53c2\u6570
          TICKER = \"PLTR\"  # \u80a1\u7968\u4ee3\u7801
          START = \"2024-01-01\"  # \u5f00\u59cb\u65e5\u671f
          END = \"2025-07-13\"  # \u7ed3\u675f\u65e5\u671f
          INTERVAL = \"1d\"  # \u65e5\u7ebf
          VISIBLE_BARS = 180  # \u663e\u793a\u6700\u540e180\u5929
          TICK_SIZE = 0.01  # \u4ef7\u683c\u95f4\u9694\uff0c\u5c0f\u70b9\u5206\u8fa8\u7387\u9ad8

          # \u989c\u8272\u5b9a\u4e49
          BULL_EDGE_COLOR = \"#089981\"  # \u4e70\u5bb6\u8fb9\u8272
          BULL_FILL_COLOR = (8\/255, 153\/255, 129\/255, 0.90)  # \u4e70\u5bb6\u586b\u5145
          BEAR_EDGE_COLOR = \"#F23645\"  # \u5356\u5bb6\u8fb9\u8272
          BEAR_FILL_COLOR = (242\/255, 54\/255, 69\/255, 0.90)  # \u5356\u5bb6\u586b\u5145

          # \u4e0b\u8f7d\u6570\u636e
          df = yf.download(
              TICKER,
              start=START,
              end=END,
              interval=INTERVAL,
              auto_adjust=True,
              progress=False
          )
          if isinstance(df.columns, pd.MultiIndex):
              df.columns = df.columns.get_level_values(0)
          vis = df.tail(VISIBLE_BARS).copy()  # \u53d6\u6700\u540e180\u5929<\/pre>\n\n\n\n
          \u8dd1\u8fd9\u6bb5\uff0c\u6570\u636e\u5c31\u5230\u624b\u3002yfinance\u4eceYahoo Finance\u62c9\u5386\u53f2\u4ef7\u3002<\/p>\n\n\n\n
          \u7b2c\u4e8c\u6b65\uff1a\u8ba1\u7b97\u4ef7\u683c\u533a\u95f4\u548c\u4e70\u5356\u65b9\u5411<\/strong><\/h3>\n\n\n\n
          \u5206\u4e0a\u6da8\u5929\uff08\u4e70\u5bb6\uff09\u548c\u4e0b\u8dcc\u5929\uff08\u5356\u5bb6\uff09\u3002<\/p>\n\n\n\n
          vis['bucket'] = (vis['Close'] \/ TICK_SIZE).round().astype(int) * TICK_SIZE

          # \u5206\u5272
          bull = vis[vis['Close'] > vis['Open']]  # \u4e70\u5bb6\u5929
          bear = vis[vis['Close'] < vis['Open']]  # \u5356\u5bb6\u5929

          # \u805a\u5408\u6210\u4ea4\u91cf
          bull_map = bull.groupby('bucket')['Volume'].sum()
          bear_map = bear.groupby('bucket')['Volume'].sum()<\/pre>\n\n\n\n
          \u7b80\u5355\u5427\uff1fgroupby\u5c31\u662f\u6309\u6876\u5408\u8ba1\u6210\u4ea4\u91cf\u3002<\/p>\n\n\n\n
          \u7b2c\u4e09\u6b65\uff1a\u8ba1\u7b97\u5173\u952e\u6307\u6807<\/strong><\/h3>\n\n\n\n
          \u8ba1\u7b97\u7d2f\u79ef\u5206\u5e03\u548c\u6307\u6807\uff1a\u5f52\u4e00\u5316\uff0c\u7b97\u603b\u548c\u3001\u5cf0\u503c\u3001\u7d2f\u79ef\u3001VWAP\u3001\u4e2d\u4f4d\u3002<\/p>\n\n\n\n
          # \u7f29\u653e\u56e0\u5b50
          bull_max = bull_map.max() if not bull_map.empty else 0
          bear_max = bear_map.max() if not bear_map.empty else 0

          # \u603b\u548c\u548c\u5cf0\u503c
          bull_total = bull_map.sum()
          bear_total = bear_map.sum()
          bull_peak_price = bull_map.idxmax() if not bull_map.empty else np.nan
          bear_peak_price = bear_map.idxmax() if not bear_map.empty else np.nan

          # \u4ece\u9ad8\u5230\u4f4e\u6392\u5e8f
          bull_levels = bull_map.sort_index(ascending=False)
          bear_levels = bear_map.sort_index(ascending=False)

          # \u7d2f\u79ef\u5360\u6bd4
          bull_frac = bull_levels.cumsum() \/ bull_total if bull_total > 0 else pd.Series([], dtype=float)
          bear_frac = bear_levels.cumsum() \/ bear_total if bear_total > 0 else pd.Series([], dtype=float)

          # VWAP\u548c\u4e2d\u4f4d
          bull_vwap = (bull_map.index.to_numpy() * bull_map.values).sum() \/ bull_total if bull_total > 0 else np.nan
          bear_vwap = (bear_map.index.to_numpy() * bear_map.values).sum() \/ bear_total if bear_total > 0 else np.nan

          bull_median = bull_frac[bull_frac >= 0.5].index[0] if not bull_frac.empty else np.nan
          bear_median = bear_frac[bear_frac >= 0.5].index[0] if not bear_frac.empty else np.nan

          # \u4ef7\u683c\u8303\u56f4
          price_min = min(
              bull_levels.index.min() if not bull_levels.empty else np.inf,
              bear_levels.index.min() if not bear_levels.empty else np.inf,
              vis['Low'].min()
          )
          price_max = max(
              bull_levels.index.max() if not bull_levels.empty else -np.inf,
              bear_levels.index.max() if not bear_levels.empty else -np.inf,
              vis['High'].max()
          )<\/pre>\n\n\n\n
          \u4e0a\u9762\u8fd9\u4e9b\u7b97\u51fa\u66f2\u7ebf\u548c\u7ebf\u7684\u4f4d\u7f6e\u3002<\/p>\n\n\n\n
          \u7b2c\u56db\u6b65\uff1a<\/strong>\u753b\u56fe\u5c55\u793a<\/strong><\/h3>\n\n\n\n
          \u5efa\u56fe\uff0c\u4e09\u9762\u677f\uff1a\u5de6\u4e70\u3001\u4e2d\u4ef7\u3001\u53f3\u5356\u3002\u5e95\u90e8\u76d2\u5b50\u79c0\u5360\u6bd4\u3002<\/p>\n\n\n\n
          plt.style.use('dark_background')
          fig = plt.figure(figsize=(16, 8))  # \u56fe\u5927\u5c0f

          # \u4f4d\u7f6e
          left_margin = 0.05
          bull_width = 0.20
          price_width = 0.50
          price_left = left_margin + bull_width
          bear_left = price_left + price_width
          bottom = 0.15
          height = 0.75
          box_height = 0.05
          box_bottom = bottom - box_height

          # \u4e2d\u95f4\u4ef7\u9762\u677f
          price_ax = fig.add_axes([price_left, bottom, price_width, height])
          price_ax.plot(vis.index, vis['Close'], color='white', lw=1)
          price_ax.set_ylim(price_min, price_max)

          date_loc = AutoDateLocator(minticks=5, maxticks=10)
          price_ax.xaxis.set_major_locator(date_loc)
          price_ax.xaxis.set_major_formatter(AutoDateFormatter(date_loc))
          price_ax.tick_params(axis='x', rotation=45, colors='white', labelsize=8)
          price_ax.tick_params(axis='y', colors='white', labelsize=8)
          price_ax.set_title(f\"{TICKER} \u2013 last {VISIBLE_BARS} bars\", color='white')

          # \u5de6\u4e70\u9762\u677f
          bull_ax = fig.add_axes([left_margin, bottom, bull_width, height], sharey=price_ax)
          if not bull_frac.empty:
              if bull_max > 0:
                  bull_norm = bull_levels.values \/ bull_max
                  bull_ax.barh(
                      bull_levels.index,
                      bull_norm,
                      height=TICK_SIZE * 3,
                      left=1 - bull_norm,
                      color='gray',
                      alpha=0.5
                  )
              bull_ax.fill_betweenx(
                  bull_frac.index,
                  1 - bull_frac,
                  1,
                  facecolor=BULL_FILL_COLOR,
                  edgecolor=BULL_EDGE_COLOR,
                  linewidth=1, alpha=0.5
              )
              bull_ax.axhline(bull_peak_price, xmin=0, xmax=1, color=BULL_EDGE_COLOR, linestyle='dotted')
              bull_ax.axhline(bull_median, xmin=0, xmax=1, color='gray', linestyle='dashdot')
              bull_ax.axhline(bull_vwap, xmin=0, xmax=1, color='gray', linestyle='dashed')
          bull_ax.set_xlim(0, 1)
          bull_ax.axis('off')

          # \u53f3\u5356\u9762\u677f
          bear_ax = fig.add_axes([bear_left, bottom, bull_width, height], sharey=price_ax)
          if not bear_frac.empty:
              if bear_max > 0:
                  bear_norm = bear_levels.values \/ bear_max
                  bear_ax.barh(
                      bear_levels.index,
                      bear_norm,
                      height=TICK_SIZE * 3,
                      left=0,
                      color='gray',
                      alpha=0.5
                  )
              bear_ax.fill_betweenx(
                  bear_frac.index,
                  0,
                  bear_frac,
                  facecolor=BEAR_FILL_COLOR,
                  edgecolor=BEAR_EDGE_COLOR,
                  linewidth=1, alpha=0.5
              )
              bear_ax.axhline(bear_peak_price, xmin=0, xmax=1, color=BEAR_EDGE_COLOR, linestyle='dotted')
              bear_ax.axhline(bear_median, xmin=0, xmax=1, color='gray', linestyle='dashdot')
              bear_ax.axhline(bear_vwap, xmin=0, xmax=1, color='gray', linestyle='dashed')
          bear_ax.set_xlim(0, 1)
          bear_ax.axis('off')

          # \u5e95\u90e8\u5360\u6bd4
          bull_share = bull_total \/ (bull_total + bear_total)
          bear_share = bear_total \/ (bull_total + bear_total)

          bull_box = fig.add_axes([left_margin, box_bottom, bull_width, box_height])
          bull_box.barh(0, bull_share, height=1, color=BULL_FILL_COLOR, edgecolor=BULL_EDGE_COLOR)
          bull_box.set_xlim(0, 1)
          bull_box.axis('off')
          bull_box.text(0.5, 0, f\"{bull_share:.1%}\", ha='center', va='center', color='white', fontsize=14)

          bear_box = fig.add_axes([bear_left, box_bottom, bull_width, box_height])
          bear_box.barh(0, bear_share, height=1, color=BEAR_FILL_COLOR, edgecolor=BEAR_EDGE_COLOR)
          bear_box.set_xlim(0, 1)
          bear_box.axis('off')
          bear_box.text(0.5, 0, f\"{bear_share:.1%}\", ha='center', va='center', color='white', fontsize=14)

          plt.tight_layout()
          plt.show()<\/pre>\n\n\n\n
          \u590d\u5236\u8fd9\u4e9b\u4ee3\u7801\u5230Jupyter\u6216Python\u6587\u4ef6\uff0c\u8dd1\u8d77\u6765\u5c31\u80fd\u51fa\u56fe\u3002\u6539TICKER\u53c2\u6570\u8fd8\u53ef\u4ee5\u8bd5\u5176\u4ed6\u80a1\u3002<\/p>\n\n\n\n
          \u56db\u3001\u56fe\u8868<\/strong>\u89e3\u8bfb<\/strong><\/h2>\n\n\n\n
          \u5f53\u4f60\u8fd0\u884c\u5b8c\u4ee3\u7801\u540e\uff0c\u4f1a\u770b\u5230\u4e00\u4e2a\u5305\u542b\u4e09\u90e8\u5206\u7684\u56fe\u8868\uff0c\u600e\u4e48\u770b\u8fd9\u4e2a\u56fe\uff1f\u5f88\u7b80\u5355\uff1a<\/p>\n\n\n\n
            \n
          • \u4e2d\u95f4<\/strong>\uff1a\u80a1\u4ef7\u8d70\u52bf\u56fe\uff0c\u5de6\u4fa7<\/strong>\uff1a\u4e70\u5165\u529b\u91cf\u5206\u5e03\uff08\u7eff\u8272\uff09\uff0c\u53f3\u4fa7<\/strong>\uff1a\u5356\u51fa\u529b\u91cf\u5206\u5e03\uff08\u7ea2\u8272\uff09\u3002<\/li>\n\n\n\n
          • \u7eff\u8272\u8d8a\u6d53<\/strong>\u7684\u5730\u65b9\uff0c\u8868\u793a\u5728\u8fd9\u4e2a\u4ef7\u683c\u533a\u95f4\u4e70\u5165\u529b\u91cf\u8d8a\u5f3a\u3002\u7ea2\u8272\u8d8a\u6d53<\/strong>\u7684\u5730\u65b9\uff0c\u8868\u793a\u5728\u8fd9\u4e2a\u4ef7\u683c\u533a\u95f4\u5356\u51fa\u529b\u91cf\u8d8a\u5f3a\u3002<\/li>\n\n\n\n
          • \u7eff\u8272\u865a\u7ebf<\/strong>\uff1a\u4e70\u5165\u6700\u96c6\u4e2d\u7684\u4ef7\u683c\u4f4d\u3002\u7ea2\u8272\u865a\u7ebf<\/strong>\uff1a\u5356\u51fa\u6700\u96c6\u4e2d\u7684\u4ef7\u683c\u4f4d\u3002<\/li>\n<\/ul>\n\n\n\n
            \"\"<\/figure>\n\n\n\n
            \u6bd4\u5982\u4e0a\u9762PLTR\u662fAI\u80a1\uff0c2025\u5e74\u6da8107%\uff0cQ2\u8425\u65361\u4ebf\u5200\uff0c\u589e48%\u3002\u4f46\u4f30\u503c\u9ad8\uff0c\u53ef\u80fd\u538b\u80a1\u4ef7\u3002\u6211\u4eec\u7684\u56fe\u663e\u793a\u8fd9180\u5929\u7684\u6570\u636e\uff0c\u4e70\u5bb6\u603b\u6210\u4ea4\u91cf\u536060.7%\uff0c\u5cf0\u503c\u5728100\u7f8e\u5143\u9644\u8fd1\uff0c\u4e2d\u4f4d90\u7f8e\u5143\uff0cVWAP 95\u7f8e\u5143\u3002\u5356\u5bb6\u536039.3%\uff0c\u5206\u5e03\u5e7f\uff0c\u5cf0\u503c110\u7f8e\u5143\u3002<\/p>\n\n\n\n
            \u6307\u6807<\/th>\u4e70\u5bb6\u503c<\/th>\u5356\u5bb6\u503c<\/th><\/tr><\/thead>
            \u603b\u6210\u4ea4\u91cf\u5360\u6bd4<\/td>60.7%<\/td>39.3%<\/td><\/tr>
            \u5cf0\u503c\u4ef7<\/td>100\u7f8e\u5143<\/td>110\u7f8e\u5143<\/td><\/tr>
            \u4e2d\u4f4d\u4ef7<\/td>90\u7f8e\u5143<\/td>105\u7f8e\u5143<\/td><\/tr>
            VWAP<\/td>95\u7f8e\u5143<\/td>108\u7f8e\u5143<\/td><\/tr>
            \u538b\u529b\u96c6\u4e2d\u533a<\/td>80-100\u7f8e\u5143<\/td>100-120\u7f8e\u5143<\/td><\/tr><\/tbody><\/table>
            PLTR\u5173\u952e\u6307\u6807\u5206\u6790\u8868<\/figcaption><\/figure>\n\n\n\n
            PLTR AI\u5e02\u573a\u6269\u5230\u4e863794\u4ebf\u5200\uff0c\u76ee\u6807\u4ef7138\u7f8e\u5143\u3002\u5982\u56fe\u663e\u793a\u4e70\u5bb6\u5728\u4f4e\u533a\u5f3a\uff0c\u652f\u6491\u7a33\u3002\u5356\u5bb6\u5728\u4e0a\u533a\uff0c\u4f46\u5f31\u3002\u5efa\u8bae\u4f4e\u4e70\u9ad8\u5356\uff0c\u907f\u9ad8\u4f4d\u8ffd\u3002\u6700\u7ec8\u7684\u7ed3\u8bba\u662f\uff1a<\/p>\n\n\n\n
            \u4e70\u5bb6\u50cfAI\u72c2\u70ed\u7c89\uff0c\u5356\u5bb6\u50cf\u4f30\u503c\u62c5\u5fe7\u8005\u3002\u4f46\u6570\u636e\u5206\u6790\u770b\uff0c\u4e70\u5bb6\u8d62\u9762\u5927\u3002<\/p>\n\n\n\n
            \u4e94\u3001\u5b9e\u6218\u5c0f\u8d34\u58eb<\/strong><\/h2>\n\n\n\n
            \u8fd9\u4e2a\u5de5\u5177\u5728\u5b9e\u9645\u64cd\u4f5c\u4e2d\u5f88\u6709\u7528\uff1a<\/p>\n\n\n\n