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        "化学制品": 178,
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        "化学制药": 158,
        "电网设备": 139,
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        "软件开发": 135,
        "IT服务Ⅱ": 133
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        "2019": 202,
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      "median": 6552263417.8,
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      "total_companies": 5493
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    "# 📊 A股本地数据仓库\n\n## 📋 数据概况\n\n### 基础信息数据\n- **数据来源**: AKShare (免费开源)\n- **股票数量**: 5,493只A股\n- **时间范围**: 2010年至今\n- **创建时间**: 2026-03-26 20:02:10\n\n### 存储结构\n\n```\ndata/\n├── raw/                          # 原始数据\n│   ├── a_stock_daily/           # A股日线行情数据（待下载）\n│   │   ├── 2010/                # 按年分区\n│   │   ├── 2011/\n│   │   └── ...\n│   ├── financial_reports/       # 财报数据（待下载）\n│   ├── stock_info/              # 股票基础信息\n│   └── data_sources/           # 数据源配置\n├── processed/                    # 处理后数据\n│   ├── a_stock_daily/           # 清洗后的日线数据\n│   ├── financial_indicators/    # 财务指标计算数据\n│   ├── stock_info/              # 标准化股票信息\n│   └── quality_reports/         # 数据质量报告\n└── running_data/                # 运行数据\n    ├── update_logs/             # 更新日志\n    └── config/                  # 运行配置\n```\n\n### 数据结构\n\n#### 基础信息数据字段\n- **symbol**: 股票代码\n- **name**: 股票名称  \n- **industry**: 所属行业\n- **market**: 市场类型\n- **list_date**: 上市日期\n- **total_market_cap**: 总市值\n- **circulating_market_cap**: 流通市值\n\n#### 日线数据字段\n- **date**: 交易日期\n- **open/high/low/close**: 开高低收价格\n- **volume**: 成交量\n- **amount**: 成交额\n- **adj_factor**: 复权因子\n\n### 🚀 使用说明\n\n#### 1. 数据访问\n```python\nimport pandas as pd\n\n# 读取基础信息\nbasic_info = pd.read_csv(\"raw/stock_info/stock_basic_info_raw_*.csv\")\n\n# 读取日线数据（按年分区）\ndaily_2024 = pd.read_parquet(\"raw/a_stock_daily/2024/*.parquet\")\n```\n\n#### 2. 数据更新\n```bash\n# 运行日线数据下载\npython3 scripts/data_acquisition/a_stock_daily_data.py\n```\n\n### 📊 数据质量\n\n#### 完整性检查\n- 交易日连续性\n- 价格数据完整性\n- 成交量一致性\n\n#### 准确性验证\n- 价格逻辑检查\n- 数据格式统一\n- 异常值检测\n\n### 🔧 技术架构\n\n#### 数据采集\n- 使用AKShare开源库\n- 批量并行下载\n- 自动错误重试\n\n#### 数据处理\n- Parquet列式存储\n- Snappy压缩\n- 时间分区索引\n\n---\n\n**数据维护**: 赵云（数据工程将军）\n**最后更新**: 2026-03-26 20:02:10\n"
  ],
  "errors": [],
  "data_structure": {
    "data_range": {
      "start_date": "2010-01-01",
      "end_date": "2026-03-26",
      "include_delisted": true
    },
    "data_fields": {
      "daily": [
        "symbol",
        "date",
        "open",
        "high",
        "low",
        "close",
        "volume",
        "amount",
        "adj_factor",
        "trade_status"
      ]
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      ],
      "compression": "snappy",
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}