{"id":1597,"date":"2024-11-05T07:41:00","date_gmt":"2024-11-04T23:41:00","guid":{"rendered":"https:\/\/blog.laoyulaoyu.top\/?p=1597"},"modified":"2024-10-10T19:43:05","modified_gmt":"2024-10-10T11:43:05","slug":"%e9%ab%98%e7%ba%a7%e9%ab%98%e9%a2%91%e4%ba%a4%e6%98%93%ef%bc%8c%e7%a7%98%e5%af%86%e6%ad%a6%e5%99%a8%e5%9c%a8%e6%ad%a4%ef%bc%81%e9%80%9a%e8%bf%87obi-%e5%92%8c-vwap-%e6%8f%90%e5%8d%87%e6%80%a7%e8%83%bd","status":"publish","type":"post","link":"https:\/\/www.laoyulaoyu.com\/index.php\/2024\/11\/05\/%e9%ab%98%e7%ba%a7%e9%ab%98%e9%a2%91%e4%ba%a4%e6%98%93%ef%bc%8c%e7%a7%98%e5%af%86%e6%ad%a6%e5%99%a8%e5%9c%a8%e6%ad%a4%ef%bc%81%e9%80%9a%e8%bf%87obi-%e5%92%8c-vwap-%e6%8f%90%e5%8d%87%e6%80%a7%e8%83%bd\/","title":{"rendered":"\u9ad8\u7ea7\u9ad8\u9891\u4ea4\u6613\uff0c\u79d8\u5bc6\u6b66\u5668\u5728\u6b64\uff01\u901a\u8fc7OBI \u548c VWAP \u63d0\u5347\u6027\u80fd"},"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>\u672c\u6587\u4e3b\u8981\u4ecb\u7ecd\u4e86\u4e00\u79cd\u9ad8\u7ea7\u7684\u9ad8\u9891\u4ea4\u6613\uff08HFT\uff09\u7b56\u7565<\/mark>\uff0c\u7ed3\u5408\u8ba2\u5355\u7c3f\u4e0d\u5e73\u8861\uff08OBI\uff09\u548c\u6210\u4ea4\u91cf\u52a0\u6743\u5e73\u5747\u4ef7\uff08VWAP\uff09\uff0c\u4ee5\u63d0\u9ad8\u4ea4\u6613\u6027\u80fd\u3002\u6700\u540e\u6211\u8fd8\u4f1a\u63d0\u4f9b\u4e00\u7cfb\u5217\u7684Python\u3001R\u548cC++\u5e93\u53ca\u4e91\u5e73\u53f0\uff0c\u4f9b\u4ea4\u6613\u8005\u8fdb\u884c\u9ad8\u9891\u4ea4\u6613\u7b56\u7565\u7684\u5f00\u53d1\u548c\u6d4b\u8bd5\u3002<\/pre>\n<\/blockquote>\n\n\n\n
\u9ad8\u9891\u4ea4\u6613\uff08HFT\uff09\u501f\u52a9\u590d\u6742\u7b97\u6cd5\u4e0e\u9ad8\u901f\u6570\u636e\u5904\u7406\uff0c\u80fd\u4ee5\u6781\u5feb\u901f\u5ea6\u5b8c\u6210\u4ea4\u6613\uff0c\u5f7b\u5e95\u6539\u53d8\u91d1\u878d\u5e02\u573a\u3002\u5982\u4eca\u4ea4\u6613\u8005\u90fd\u60f3\u5229\u7528\u6700\u5c0f\u5e02\u573a\u4f4e\u6548\uff0c\u6240\u4ee5\u4e86\u89e3\u5e76\u5b9e\u65bd\u5148\u8fdb HFT \u7b56\u7565\u81f3\u5173\u91cd\u8981\u3002\u672c\u6587\u6df1\u5165\u5256\u6790\u7ebd\u7ea6\u8bc1\u5238\u4ea4\u6613\u6240\uff08NYSE\uff09\u8ba2\u5355\u7c3f\u673a\u5236\uff0c\u89e3\u8bfb\u8bfb\u53d6\u6570\u636e\u7684\u6280\u5de7\uff0c\u8fd8\u4ecb\u7ecd\u4e00\u79cd\u878d\u5408\u8ba2\u5355\u7c3f\u4e0d\u5e73\u8861\uff08OBI\uff09\u4e0e\u6210\u4ea4\u91cf\u52a0\u6743\u5e73\u5747\u4ef7\u683c\uff08VWAP\uff09\u7684\u590d\u6742 HFT \u7b56\u7565\u3002\u901a\u8fc7\u63a2\u5bfb\u5386\u53f2\u6210\u529f\u6848\u4f8b\u3001\u8be6\u7ec6\u9610\u8ff0\u7ecf\u6d4b\u8bd5\u7b97\u6cd5\uff0c\u5e76\u5c55\u793a\u5168\u9762\u56de\u6eaf\u6d4b\u8bd5\u4e0e\u6027\u80fd\u7ed3\u679c\uff0c\u4e3a\u60f3\u5728\u9ad8\u98ce\u9669\u9ad8\u9891\u4ea4\u6613\u9886\u57df\u5d2d\u9732\u5934\u89d2\u7684\u4ea4\u6613\u8005\u63d0\u4f9b\u4e86\u575a\u5b9e\u6846\u67b6\u3002<\/p>\n\n\n\n
\u4e3a\u4e86\u5f00\u53d1\u66f4\u590d\u6742\u7684\u9ad8\u9891\u4ea4\u6613 (HFT) \u7b56\u7565\uff0c\u6211\u4eec\u5c06\u6a21\u62df\u9ad8\u9891\u4ea4\u6613\u6570\u636e\uff0c\u5b9e\u65bd\u7b56\u7565\uff0c\u8fdb\u884c\u56de\u6eaf\u6d4b\u8bd5\uff0c\u5e76\u8bc4\u4f30\u5176\u6027\u80fd\u3002\u8be5\u7b56\u7565\u5c06\u5229\u7528\u8ba2\u5355\u7c3f\u4e0d\u5e73\u8861\u548c VWAP \u505a\u51fa\u4ea4\u6613\u51b3\u7b56\u3002<\/p>\n\n\n\n
    \n
  1. \u8ba2\u5355\u7c3f\u4e0d\u5e73\u8861 (OBI)\uff1a<\/strong>\u901a\u8fc7\u5206\u6790\u4e70\u65b9\u548c\u5356\u65b9\u7684\u6210\u4ea4\u91cf\u6765\u8861\u91cf\u4f9b\u9700\u60c5\u51b5\u3002<\/li>\n\n\n\n
  2. \u6210\u4ea4\u91cf\u52a0\u6743\u5e73\u5747\u4ef7 (VWAP)\uff1a<\/strong>\u6839\u636e\u4ea4\u6613\u91cf\u548c\u4ef7\u683c\u8bc4\u4f30\u8bc1\u5238\u5168\u5929\u4ea4\u6613\u5e73\u5747\u4ef7\u683c\u7684\u57fa\u51c6\u3002<\/li>\n<\/ol>\n\n\n\n
    <\/p>\n\n\n\n
    \u4e00\u3001\u5b9e\u65bd\u6b65\u9aa4<\/strong><\/h2>\n\n\n\n
      \n
    1. \u6570\u636e\u6a21\u62df\uff1a<\/strong>\u6a21\u62df\u9ad8\u9891\u4ea4\u6613\u6570\u636e\uff0c\u5305\u62ec\u4e70\u5356\u4ef7\u683c\u548c\u4ea4\u6613\u91cf\u3002<\/li>\n\n\n\n
    2. \u6218\u7565\u5b9e\u65bd\uff1a<\/strong>\u5b9e\u65bd OBI \u548c VWAP \u6218\u7565\u3002<\/li>\n\n\n\n
    3. \u56de\u6eaf\u6d4b\u8bd5\u6846\u67b6\uff1a<\/strong>\u5efa\u7acb\u56de\u6eaf\u6d4b\u8bd5\u6846\u67b6\u6765\u6d4b\u8bd5\u7b56\u7565\u3002<\/li>\n\n\n\n
    4. \u7ee9\u6548\u8bc4\u4f30\uff1a<\/strong>\u901a\u8fc7\u7ed8\u5236\u8d26\u6237\u4f59\u989d\u968f\u65f6\u95f4\u53d8\u5316\u7684\u66f2\u7ebf\u6765\u8bc4\u4f30\u7b56\u7565\u7684\u7ee9\u6548\u3002<\/li>\n<\/ol>\n\n\n\n
      \u6b65\u9aa4 1\uff1a\u6570\u636e\u6a21\u62df<\/strong><\/h3>\n\n\n\n
      \u6211\u4eec\u5c06\u6a21\u62df\u9ad8\u9891\u4ea4\u6613\u6570\u636e\uff0c\u5305\u62ec\u4e70\u5356\u4ef7\u683c\u548c\u4ea4\u6613\u91cf\u3002<\/p>\n\n\n\n
      import numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\n\n# Simulating high-frequency data\nnp.random.seed(42)\nnum_ticks = 10000\nprice_changes = np.random.normal(loc=0, scale=0.01, size=num_ticks)\nprices = np.cumsum(price_changes) + 100  # Starting price of 100\n\n# Simulate bid and ask prices around the mid price\nbid_prices = prices - np.random.uniform(0.01, 0.05, size=num_ticks)\nask_prices = prices + np.random.uniform(0.01, 0.05, size=num_ticks)\nbid_volumes = np.random.randint(1, 10, size=num_ticks)\nask_volumes = np.random.randint(1, 10, size=num_ticks)\n\n# Create a DataFrame for the simulated tick data\ntick_data = pd.DataFrame({\n    'Time': pd.date_range(start='2023-01-01', periods=num_ticks, freq='S'),  # 1-second intervals\n    'Bid_Price': bid_prices,\n    'Ask_Price': ask_prices,\n    'Bid_Volume': bid_volumes,\n    'Ask_Volume': ask_volumes\n})<\/code><\/code><\/pre>\n\n\n\n

      \u6b65\u9aa4 2\uff1a\u6218\u7565\u5b9e\u65bd<\/strong><\/h3>\n\n\n\n
      \u6211\u4eec\u5c06\u5b9e\u65bd\u4e00\u79cd\u7ed3\u5408\u8ba2\u5355\u7c3f\u4e0d\u5e73\u8861 (OBI) \u548c VWAP \u7684\u7b56\u7565\u3002<\/p>\n\n\n\n
      class OBIVWAPStrategy:\n    def __init__(self, vwap_window, obi_threshold, initial_cash=10000):\n        self.vwap_window = vwap_window\n        self.obi_threshold = obi_threshold\n        self.cash = initial_cash\n        self.position = 0\n        self.account_balance = []\n\n    def calculate_vwap(self, data):\n        data['Mid_Price'] = (data['Bid_Price'] + data['Ask_Price']) \/ 2\n        data['Volume'] = data['Bid_Volume'] + data['Ask_Volume']\n        data['VWAP'] = (data['Mid_Price'] * data['Volume']).rolling(window=self.vwap_window).sum() \/ data['Volume'].rolling(window=self.vwap_window).sum()\n        return data\n\n    def calculate_obi(self, data):\n        data['OBI'] = (data['Bid_Volume'] - data['Ask_Volume']) \/ (data['Bid_Volume'] + data['Ask_Volume'])\n        return data\n\n    def generate_signals(self, data):\n        data = self.calculate_vwap(data)\n        data = self.calculate_obi(data)\n        data.dropna(inplace=True)\n        data['Signal'] = 0\n        data['Signal'][(data['OBI'] > self.obi_threshold) & (data['Mid_Price'] < data['VWAP'])] = 1  # Buy signal\n        data['Signal'][(data['OBI'] < -self.obi_threshold) & (data['Mid_Price'] > data['VWAP'])] = -1  # Sell signal\n        return data\n\n    def backtest(self, data):\n        for index, row in data.iterrows():\n            if row['Signal'] == 1 and self.cash > row['Ask_Price']:\n                # Buy\n                self.position += 1\n                self.cash -= row['Ask_Price']\n            elif row['Signal'] == -1 and self.position > 0:\n                # Sell\n                self.position -= 1\n                self.cash += row['Bid_Price']\n            # Record the account balance\n            self.account_balance.append(self.cash + self.position * row['Mid_Price'])\n\n        data['Account_Balance'] = self.account_balance\n        return data\n\n# Parameters for the strategy\nvwap_window = 50\nobi_threshold = 0.3\n\n# Instantiate and run the strategy\nstrategy = OBIVWAPStrategy(vwap_window, obi_threshold)\nsignal_data = strategy.generate_signals(tick_data.copy())\nbacktest_data = strategy.backtest(signal_data)<\/code><\/code><\/pre>\n\n\n\n

      \u6b65\u9aa4 3\uff1a\u7ee9\u6548\u8bc4\u4f30<\/strong><\/h3>\n\n\n\n
      \u6211\u4eec\u5c06\u7ed8\u5236\u8d26\u6237\u4f59\u989d\u968f\u65f6\u95f4\u53d8\u5316\u7684\u66f2\u7ebf\uff0c\u4ee5\u8bc4\u4f30\u8be5\u7b56\u7565\u7684\u7ee9\u6548\u3002<\/p>\n\n\n\n
      # Plot the results\nplt.figure(figsize=(14, 7))\nplt.plot(backtest_data['Time'], backtest_data['Account_Balance'], label='Account Balance')\nplt.title('HFT Strategy Backtest Results')\nplt.xlabel('Time')\nplt.ylabel('Account Balance')\nplt.legend()\nplt.show()<\/code><\/code><\/pre>\n\n\n\n

      \u4e8c\u3001\u76f8\u5173\u8bf4\u660e<\/strong><\/h2>\n\n\n\n
        \n
      1. \u6570\u636e\u6a21\u62df\uff1a<\/strong>\u6a21\u62df\u9ad8\u9891\u4ea4\u6613\u6570\u636e\u5305\u62ec\u4e70\u5165\u4ef7\u548c\u5356\u51fa\u4ef7\u4ee5\u53ca\u4ea4\u6613\u91cf\uff0c\u4e3a\u6d4b\u8bd5\u7b56\u7565\u63d0\u4f9b\u4e86\u4e00\u4e2a\u771f\u5b9e\u7684\u6570\u636e\u96c6\u3002<\/li>\n\n\n\n
      2. OBI \/ VWAP \u7b56\u7565\uff1a<\/strong>\u7ed3\u5408\u8ba2\u5355\u7c3f\u4e0d\u5e73\u8861 (OBI) \u548c\u6210\u4ea4\u91cf\u52a0\u6743\u5e73\u5747\u4ef7 (VWAP) \u751f\u6210\u4ea4\u6613\u4fe1\u53f7\u3002<\/li>\n<\/ol>\n\n\n\n