From 608d9947f1fe4f8e45d24d63b81fb3e3c36900a3 Mon Sep 17 00:00:00 2001 From: unknown Date: Fri, 22 Aug 2025 11:20:41 +0800 Subject: [PATCH] update file struct --- DataAnalysis/DataExporter.py | 336 +++ DataAnalysis/MarketDataCalculator.py | 776 +++++ DataAnalysis/__init__.py | 3 + DataAnalysis/checktable.py | 145 + DataAnalysis/exportExcelToDB_HK.py | 478 +++ PyCode/CalculateCapitalization.py | 298 -- PyCode/ExportData.py | 237 -- .../ConditionalSelection.py | 6 +- UpdateFutuData/__init__.py | 2 + {PyCode => UpdateFutuData}/checktable.py | 3 +- {PyCode => UpdateFutuData}/fullmarketdata.py | 2 +- .../get_kdata_from_database copy.py | 236 ++ UpdateFutuData/get_kdata_from_database.py | 276 ++ UpdateFutuData/getmarketsnapshot.py | 142 + {PyCode => UpdateFutuData}/updateExecl.py | 0 {PyCode => UpdateFutuData}/updatekline.py | 91 +- base/Config.py | 9 + {PyCode => base}/LogHelper.py | 0 {PyCode => base}/MySQLHelper.py | 7 +- base/__init__.py | 3 + config.py | 10 + config/Reservedcode.txt | 3 + config/missing_codes.txt | 12 + data/hk_stocks_combined_data.csv | 2571 ----------------- main.py | 154 + 25 files changed, 2605 insertions(+), 3195 deletions(-) create mode 100644 DataAnalysis/DataExporter.py create mode 100644 DataAnalysis/MarketDataCalculator.py create mode 100644 DataAnalysis/__init__.py create mode 100644 DataAnalysis/checktable.py create mode 100644 DataAnalysis/exportExcelToDB_HK.py delete mode 100644 PyCode/CalculateCapitalization.py delete mode 100644 PyCode/ExportData.py rename {PyCode => UpdateFutuData}/ConditionalSelection.py (97%) create mode 100644 UpdateFutuData/__init__.py rename {PyCode => UpdateFutuData}/checktable.py (98%) rename {PyCode => UpdateFutuData}/fullmarketdata.py (99%) create mode 100644 UpdateFutuData/get_kdata_from_database copy.py create mode 100644 UpdateFutuData/get_kdata_from_database.py create mode 100644 UpdateFutuData/getmarketsnapshot.py rename {PyCode => UpdateFutuData}/updateExecl.py (100%) rename {PyCode => UpdateFutuData}/updatekline.py (76%) create mode 100644 base/Config.py rename {PyCode => base}/LogHelper.py (100%) rename {PyCode => base}/MySQLHelper.py (97%) create mode 100644 base/__init__.py create mode 100644 config.py create mode 100644 config/Reservedcode.txt create mode 100644 config/missing_codes.txt delete mode 100644 data/hk_stocks_combined_data.csv create mode 100644 main.py diff --git a/DataAnalysis/DataExporter.py b/DataAnalysis/DataExporter.py new file mode 100644 index 0000000..88c9151 --- /dev/null +++ b/DataAnalysis/DataExporter.py @@ -0,0 +1,336 @@ + +# import csv +# from typing import List, Dict, Optional +# from datetime import datetime +# from base import LogHelper,MySQLHelper + +# logger = LogHelper(logger_name = 'export').setup() + +# def get_monthly_avg_data(db_config: dict, table_name: str) -> Optional[List[Dict]]: +# """ +# 从数据库读取月度均值数据 + +# Args: +# db_config: 数据库配置 +# table_name: 源数据表名 + +# Returns: +# List[Dict]: 查询结果数据集，失败返回None +# """ +# try: +# with MySQLHelper(**db_config) as db: +# # 获取表结构信息 +# columns = db.execute_query(f""" +# SELECT COLUMN_NAME +# FROM INFORMATION_SCHEMA.COLUMNS +# WHERE TABLE_SCHEMA = %s AND TABLE_NAME = %s +# ORDER BY ORDINAL_POSITION +# """, (db_config['database'], table_name)) + +# if not columns: +# logger.error(f"表 {table_name} 不存在或没有列") +# return None + +# # 获取列名列表(排除id和update_time) +# field_names = [col['COLUMN_NAME'] for col in columns +# if col['COLUMN_NAME'] not in ('id', 'update_time')] + +# # 查询数据 +# data = db.execute_query(f""" +# SELECT {', '.join(field_names)} +# FROM {table_name} +# ORDER BY stock_code +# """) + +# if not data: +# logger.error(f"表 {table_name} 中没有数据") +# return None + +# return data + +# except Exception as e: +# logger.error(f"从数据库读取月度均值数据失败: {str(e)}") +# return None + +# def get_float_share_data(db_config: dict, table_name: str) -> Optional[List[Dict]]: +# """ +# 从conditionalselection表读取流通股本数据 + +# Args: +# db_config: 数据库配置 +# table_name: 源数据表名 + +# Returns: +# List[Dict]: 查询结果数据集，失败返回None +# """ +# try: +# with MySQLHelper(**db_config) as db: +# # 查询流通股本数据 +# data = db.execute_query(f""" +# SELECT stock_code, stock_name, float_share +# FROM {table_name} +# ORDER BY stock_code +# """) + +# if not data: +# logger.error(f"表 {table_name} 中没有流通股本数据") +# return None + +# return data + +# except Exception as e: +# logger.error(f"从数据库读取流通股本数据失败: {str(e)}") +# return None + +# def export_to_csv(data: List[Dict], output_file: str) -> bool: +# """ +# 将合并后的数据导出到CSV文件 + +# Args: +# data: 要导出的数据集 +# output_file: 输出的CSV文件路径 + +# Returns: +# bool: 是否导出成功 +# """ +# if not data: +# return False + +# try: +# # 获取字段名(使用第一个数据的键) +# field_names = list(data[0].keys()) + +# # 字段名到中文的映射 +# header_map = { +# 'stock_code': '股票代码', +# 'stock_name': '股票名称', +# 'ym_2410': '2024年10月', +# 'ym_2411': '2024年11月', +# 'ym_2412': '2024年12月', +# 'ym_2501': '2025年01月', +# 'ym_2502': '2025年02月', +# 'ym_2503': '2025年03月', +# 'ym_2504': '2025年04月', +# 'ym_2505': '2025年05月', +# 'ym_2506': '2025年06月', +# 'ym_2507': '2025年07月', +# 'ym_2508': '2025年08月', +# 'avg_all': '月度均值' +# } + +# with open(output_file, mode='w', newline='', encoding='utf-8-sig') as csvfile: +# writer = csv.DictWriter(csvfile, fieldnames=field_names) + +# # 写入中文表头 +# writer.writerow({col: header_map.get(col, col) for col in field_names}) + +# # 写入数据 +# writer.writerows(data) + +# logger.info(f"成功导出 {len(data)} 条记录到CSV文件: {output_file}") +# return True + +# except Exception as e: +# logger.error(f"导出到CSV失败: {str(e)}") +# return False + + +# def export_data(db_config: dict, +# monthly_table: str, +# csv_file: str = None) -> bool: +# """ +# 导出合并后的数据到CSV和/或Excel + +# Args: +# db_config: 数据库配置 +# monthly_table: 月度均价表名 +# float_share_table: 流通股本表名 +# csv_file: CSV输出路径(可选) +# excel_file: Excel输出路径(可选) + +# Returns: +# bool: 是否至少有一种格式导出成功 +# """ + +# # 从数据库获取数据 +# monthly_data = get_monthly_avg_data(db_config, monthly_table) +# if not monthly_data: +# logger.error("无法获取月度均价数据") +# return False + +# # 导出结果 +# filePath = 'data/' + csv_file +# csv_success = True +# if csv_file: +# csv_success = export_to_csv(monthly_data, filePath) + +# return csv_success +import csv +from typing import List, Dict, Optional +from base import LogHelper, MySQLHelper + +class DataExporter: + """数据导出器类，用于从数据库提取数据并导出到CSV文件""" + + # 表头映射配置 + HEADER_MAP = { + 'stock_code': '股票代码', + 'stock_name': '股票名称', + 'ym_2410': '2024年10月', + 'ym_2411': '2024年11月', + 'ym_2412': '2024年12月', + 'ym_2501': '2025年01月', + 'ym_2502': '2025年02月', + 'ym_2503': '2025年03月', + 'ym_2504': '2025年04月', + 'ym_2505': '2025年05月', + 'ym_2506': '2025年06月', + 'ym_2507': '2025年07月', + 'ym_2508': '2025年08月', + 'avg_all': '月度均值' + } + + def __init__(self, db_config: dict, logger_name: str = 'export'): + """ + 初始化数据导出器 + + Args: + db_config: 数据库配置字典 + logger_name: 日志记录器名称 + """ + self.db_config = db_config + self.logger = LogHelper(logger_name=logger_name).setup() + + def get_monthly_avg_data(self, table_name: str) -> Optional[List[Dict]]: + """ + 从数据库读取月度均值数据 + + Args: + table_name: 源数据表名 + + Returns: + List[Dict]: 查询结果数据集，失败返回None + """ + try: + with MySQLHelper(**self.db_config) as db: + # 获取表结构信息 + columns = db.execute_query(f""" + SELECT COLUMN_NAME + FROM INFORMATION_SCHEMA.COLUMNS + WHERE TABLE_SCHEMA = %s AND TABLE_NAME = %s + ORDER BY ORDINAL_POSITION + """, (self.db_config['database'], table_name)) + + if not columns: + self.logger.error(f"表 {table_name} 不存在或没有列") + return None + + # 获取列名列表(排除id和update_time) + field_names = [col['COLUMN_NAME'] for col in columns + if col['COLUMN_NAME'] not in ('id', 'update_time')] + + # 查询数据 + data = db.execute_query(f""" + SELECT {', '.join(field_names)} + FROM {table_name} + ORDER BY stock_code + """) + + if not data: + self.logger.error(f"表 {table_name} 中没有数据") + return None + + return data + + except Exception as e: + self.logger.error(f"从数据库读取月度均值数据失败: {str(e)}") + return None + + def get_float_share_data(self, table_name: str) -> Optional[List[Dict]]: + """ + 从conditionalselection表读取流通股本数据 + + Args: + table_name: 源数据表名 + + Returns: + List[Dict]: 查询结果数据集，失败返回None + """ + try: + with MySQLHelper(**self.db_config) as db: + # 查询流通股本数据 + data = db.execute_query(f""" + SELECT stock_code, stock_name, float_share + FROM {table_name} + ORDER BY stock_code + """) + + if not data: + self.logger.error(f"表 {table_name} 中没有流通股本数据") + return None + + return data + + except Exception as e: + self.logger.error(f"从数据库读取流通股本数据失败: {str(e)}") + return None + + def export_to_csv(self, data: List[Dict], output_file: str) -> bool: + """ + 将合并后的数据导出到CSV文件 + + Args: + data: 要导出的数据集 + output_file: 输出的CSV文件路径 + + Returns: + bool: 是否导出成功 + """ + if not data: + self.logger.warning("没有数据可导出") + return False + + try: + # 获取字段名(使用第一个数据的键) + field_names = list(data[0].keys()) + + with open(output_file, mode='w', newline='', encoding='utf-8-sig') as csvfile: + writer = csv.DictWriter(csvfile, fieldnames=field_names) + + # 写入中文表头 + writer.writerow({col: self.HEADER_MAP.get(col, col) for col in field_names}) + + # 写入数据 + writer.writerows(data) + + self.logger.info(f"成功导出 {len(data)} 条记录到CSV文件: {output_file}") + return True + + except Exception as e: + self.logger.error(f"导出到CSV失败: {str(e)}") + return False + + def export_data(self, monthly_table: str, csv_file: str = None) -> bool: + """ + 导出合并后的数据到CSV + + Args: + monthly_table: 月度均价表名 + csv_file: CSV输出路径(可选) + + Returns: + bool: 是否导出成功 + """ + # 从数据库获取数据 + monthly_data = self.get_monthly_avg_data(monthly_table) + if not monthly_data: + self.logger.error("无法获取月度均价数据") + return False + + # 导出结果 + file_path = 'data/' + csv_file if csv_file else None + csv_success = True + if csv_file: + csv_success = self.export_to_csv(monthly_data, file_path) + + return csv_success \ No newline at end of file diff --git a/DataAnalysis/MarketDataCalculator.py b/DataAnalysis/MarketDataCalculator.py new file mode 100644 index 0000000..47fdd12 --- /dev/null +++ b/DataAnalysis/MarketDataCalculator.py @@ -0,0 +1,776 @@ +# """ +# 工具包函数 + +# —— 计算月均流通市值： +# 一个月内，每天流通市值的均值（当日流通股数量 * 当日股价） +# —— 根据需要补充 ... + +# """ + +# import pandas as pd +# from datetime import datetime +# from futu import * +# from tqdm import tqdm +# from pathlib import Path +# from base.MySQLHelper import MySQLHelper +# from typing import Optional, List, Dict, Union, Tuple +# from base.LogHelper import LogHelper + + +# # 基本用法（自动创建日期日志+控制台输出） +# logger = LogHelper(logger_name = 'Calculate').setup() + +# def create_monthly_avg_table(db_config: dict, target_table: str = "monthly_close_avg") -> bool: +# """ +# 创建专门存储2024年10月至2025年8月月度均值的表结构 -> 后面再根据实际需要，设计通用表格 + +# Args: +# db_config: 数据库配置 +# target_table: 目标表名 + +# Returns: +# bool: 是否创建成功 +# """ +# try: +# with MySQLHelper(**db_config) as db: +# create_sql = f""" +# CREATE TABLE IF NOT EXISTS {target_table} ( +# id INT AUTO_INCREMENT PRIMARY KEY, +# stock_code VARCHAR(20) NOT NULL COMMENT '股票代码', +# stock_name VARCHAR(50) COMMENT '股票名称', +# ym_2410 DECIMAL(20, 5) COMMENT '2024年10月', +# ym_2411 DECIMAL(20, 5) COMMENT '2024年11月', +# ym_2412 DECIMAL(20, 5) COMMENT '2024年12月', +# ym_2501 DECIMAL(20, 5) COMMENT '2025年01月', +# ym_2502 DECIMAL(20, 5) COMMENT '2025年02月', +# ym_2503 DECIMAL(20, 5) COMMENT '2025年03月', +# ym_2504 DECIMAL(20, 5) COMMENT '2025年04月', +# ym_2505 DECIMAL(20, 5) COMMENT '2025年05月', +# ym_2506 DECIMAL(20, 5) COMMENT '2025年06月', +# ym_2507 DECIMAL(20, 5) COMMENT '2025年07月', +# ym_2508 DECIMAL(20, 5) COMMENT '2025年08月', +# avg_all DECIMAL(20, 5) COMMENT '月间均值', +# update_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间', +# UNIQUE KEY uk_stock_code (stock_code) +# ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='月均流通市值表(2024.10-2025.08)' +# """ +# db.execute_update(create_sql) +# logger.info(f"创建/确认表 {target_table} 结构成功") +# return True +# except Exception as e: +# logger.error(f"创建表失败: {str(e)}") +# return False + +# def calculate_and_save_monthly_avg(db_config: dict, +# source_table: str = "stock_quotes", +# target_table: str = "monthly_close_avg") -> bool: +# """ +# 计算并保存2024年10月至2025年8月的月均流通市值 -> 后面修改为，指定时间间隔 + +# Args: +# db_config: 数据库配置 +# source_table: 源数据表名 +# target_table: 目标表名 + +# Returns: +# bool: 是否成功 +# """ +# # 定义分析的时间范围 -> 根据实际需要进行调整时间范围 +# month_ranges = { +# 'ym_2410': ('2024-10-01', '2024-10-31'), +# 'ym_2411': ('2024-11-01', '2024-11-30'), +# 'ym_2412': ('2024-12-01', '2024-12-31'), +# 'ym_2501': ('2025-01-01', '2025-01-31'), +# 'ym_2502': ('2025-02-01', '2025-02-28'), +# 'ym_2503': ('2025-03-01', '2025-03-31'), +# 'ym_2504': ('2025-04-01', '2025-04-30'), +# 'ym_2505': ('2025-05-01', '2025-05-31'), +# 'ym_2506': ('2025-06-01', '2025-06-30'), +# 'ym_2507': ('2025-07-01', '2025-07-31'), +# 'ym_2508': ('2025-08-01', '2025-08-31') +# } + +# try: +# # 确保表结构存在 +# if not create_monthly_avg_table(db_config, target_table): +# return False + +# with MySQLHelper(**db_config) as db: +# # 获取所有股票代码和名称 +# stock_info = db.execute_query( +# f"SELECT DISTINCT stock_code, stock_name FROM {source_table}" +# ) + +# if not stock_info: +# logging.error("没有获取到股票基本信息") +# return False + +# # 为每只股票计算各月均值 +# for stock in stock_info: +# stock_code = stock['stock_code'] +# stock_name = stock['stock_name'] + +# monthly_data = {'stock_code': stock_code, 'stock_name': stock_name} + +# # 计算每个月的均值 +# for month_col, (start_date, end_date) in month_ranges.items(): +# sql = """ +# SELECT AVG(close_price * float_share) as avg_close +# FROM {} +# WHERE stock_code = %s +# AND trade_date BETWEEN %s AND %s +# AND close_price IS NOT NULL +# AND float_share IS NOT NULL +# """.format(source_table) + +# result = db.execute_query(sql, (stock_code, start_date, end_date)) +# monthly_data[month_col] = float(result[0]['avg_close']) * 1000 if result and result[0]['avg_close'] else None # 流通股数量单位：1000 -> 可以考虑直接按照亿为单位存储 + +# # 提取所有以 'ym_' 开头的键的值 +# ym_values = [value for key, value in monthly_data.items() if key.startswith('ym_')] +# valid_ym_values = [value for value in ym_values if value is not None] + +# # 计算全部月的均值 +# if valid_ym_values: +# average = sum(valid_ym_values) / len(valid_ym_values) +# monthly_data['avg_all'] = average +# logger.info(f"月间流通市值平均值为: {average}") +# else: +# logger.error("没有找到以 'ym_' 开头的键") + +# # 插入或更新数据 +# upsert_sql = f""" +# INSERT INTO {target_table} ( +# stock_code, stock_name, +# ym_2410, ym_2411, ym_2412, +# ym_2501, ym_2502, ym_2503, ym_2504, +# ym_2505, ym_2506, ym_2507, ym_2508, +# avg_all +# ) VALUES ( +# %(stock_code)s, %(stock_name)s, +# %(ym_2410)s, %(ym_2411)s, %(ym_2412)s, +# %(ym_2501)s, %(ym_2502)s, %(ym_2503)s, %(ym_2504)s, +# %(ym_2505)s, %(ym_2506)s, %(ym_2507)s, %(ym_2508)s, +# %(avg_all)s +# ) +# ON DUPLICATE KEY UPDATE +# stock_name = VALUES(stock_name), +# ym_2410 = VALUES(ym_2410), +# ym_2411 = VALUES(ym_2411), +# ym_2412 = VALUES(ym_2412), +# ym_2501 = VALUES(ym_2501), +# ym_2502 = VALUES(ym_2502), +# ym_2503 = VALUES(ym_2503), +# ym_2504 = VALUES(ym_2504), +# ym_2505 = VALUES(ym_2505), +# ym_2506 = VALUES(ym_2506), +# ym_2507 = VALUES(ym_2507), +# ym_2508 = VALUES(ym_2508), +# avg_all = VALUES(avg_all), +# update_time = CURRENT_TIMESTAMP +# """ +# db.execute_update(upsert_sql, monthly_data) + +# logger.info("月度均值计算和保存完成") +# return True +# except Exception as e: +# logger.error(f"计算和保存月度均值失败: {str(e)}") +# return False + +# # 安全转换函数 +# def safe_float(v) -> Optional[float]: +# """安全转换为float，处理N/A和空值""" +# try: +# return float(v) if pd.notna(v) and str(v).upper() != 'N/A' else None +# except (ValueError, TypeError): +# return None + +# def safe_int(v) -> Optional[int]: +# """安全转换为int，处理N/A和空值""" +# try: +# return int(v) if pd.notna(v) and str(v).upper() != 'N/A' else None +# except (ValueError, TypeError): +# return None + +# def safe_parse_date(date_str, date_format='%Y-%m-%d'): +# """ +# 安全解析日期字符串 +# :param date_str: 日期字符串 +# :param date_format: 日期格式 +# :return: 解析后的datetime对象或None +# """ +# if not date_str or pd.isna(date_str) or str(date_str).strip() == '': +# return None +# try: +# return datetime.strptime(str(date_str), date_format) +# except ValueError: +# logger.warning(f"无法解析日期字符串: {date_str}") +# return None + +# def validate_market_data(dataset: list) -> list: +# """ +# 验证市场数据有效性 + +# Args: +# dataset (list): 原始数据集 + +# Returns: +# list: 通过验证的数据集 +# """ +# validated_data = [] +# for item in dataset: +# try: +# # 必要字段检查 +# if not item.get('code') or not item.get('name'): +# logger.warning(f"跳过无效数据: 缺少必要字段 code或name") +# continue + +# # 筛选股票名称 +# if item.get('name')[-1] == 'R': +# continue + +# # 数值范围验证 +# if item.get('lot_size') is not None and item['lot_size'] < 0: +# logger.warning(f"股票 {item['code']} 的lot_size为负值: {item['lot_size']}") +# item['lot_size'] = None + +# validated_data.append(item) +# except Exception as e: +# logger.warning(f"数据验证失败，跳过记录 {item.get('code')}: {str(e)}") +# continue + +# return validated_data + +# def get_market_data(market: Market) -> List[str]: +# """ +# 从Futu API获取指定市场的股票代码列表 + +# Args: +# market (Market): 市场枚举值，如 Market.SH, Market.SZ + +# Returns: +# List[str]: 股票代码列表 +# """ +# quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) +# try: +# ret, data = quote_ctx.get_stock_basicinfo(market, SecurityType.STOCK) +# if ret == RET_OK: +# # 提取code列并转换为列表 +# codes = data['code'].astype(str).tolist() +# logger.info(f"获取到 {market} 市场 {len(codes)} 个股票代码") +# return codes +# else: +# logger.error(f"获取股票代码失败: {data}") +# return [] +# except Exception as e: +# logger.error(f"获取股票代码时发生异常: {str(e)}") +# return [] +# finally: +# quote_ctx.close() + +# def get_stock_codes() -> List[str]: +# """从conditionalselection表获取所有股票代码""" +# try: +# with MySQLHelper(**db_config) as db: +# sql = f"SELECT DISTINCT stock_code,stock_name FROM stock_filter" +# results = db.execute_query(sql) +# return [ +# row['stock_code'] +# for row in results +# if row['stock_code'] and (row.get('stock_name', '') and not (row.get('stock_name') and str(row['stock_name'])[-1] == 'R')) # 排除 name，上一个版本的排除了R结尾的股票，实际上多排除了3个，这里改成全部计算，导出的时候进行筛选处理 +# ] +# except Exception as e: +# logger.error(f"获取股票代码失败: {str(e)}") +# return [] + +# def read_stock_codes_list(file_path='Reservedcode.txt'): +# """基础读取方法 - 按行读取所有内容""" +# try: +# with open(file_path, 'r', encoding='utf-8') as f: +# lines = f.readlines() +# # 去除每行末尾的换行符，并过滤空行 +# codes = [line.strip() for line in lines if line.strip()] +# return codes +# except FileNotFoundError: +# print(f"文件 {file_path} 不存在") +# return [] +# except Exception as e: +# print(f"读取文件失败: {str(e)}") +# return [] + + +# # 数据库配置 +# db_config = { +# 'host': 'localhost', +# 'user': 'root', +# 'password': 'bzskmysql', +# 'database': 'hk_kline_1d' +# } + +import pandas as pd +from datetime import datetime +from futu import * +from tqdm import tqdm +from pathlib import Path +from base.MySQLHelper import MySQLHelper +from typing import Optional, List, Dict, Union, Tuple +from base.LogHelper import LogHelper +import csv +from typing import List, Dict, Optional +from datetime import datetime +from base import LogHelper, MySQLHelper + + +class MarketDataCalculator: + """ + 市场数据计算工具类 + + 功能: + - 计算月均流通市值：一个月内，每天流通市值的均值（当日流通股数量 * 当日股价） + - 数据验证和转换 + - 从Futu API获取市场数据 + - 从数据库获取股票代码 + - 创建和管理数据库表结构 + - 导出数据到CSV文件 + """ + + # 表头映射配置 + HEADER_MAP = { + 'stock_code': '股票代码', + 'stock_name': '股票名称', + 'ym_2410': '2024年10月', + 'ym_2411': '2024年11月', + 'ym_2412': '2024年12月', + 'ym_2501': '2025年01月', + 'ym_2502': '2025年02月', + 'ym_2503': '2025年03月', + 'ym_2504': '2025年04月', + 'ym_2505': '2025年05月', + 'ym_2506': '2025年06月', + 'ym_2507': '2025年07月', + 'ym_2508': '2025年08月', + 'avg_all': '月度均值' + } + + # 月份范围配置 + MONTH_RANGES = { + 'ym_2410': ('2024-10-01', '2024-10-31'), + 'ym_2411': ('2024-11-01', '2024-11-30'), + 'ym_2412': ('2024-12-01', '2024-12-31'), + 'ym_2501': ('2025-01-01', '2025-01-31'), + 'ym_2502': ('2025-02-01', '2025-02-28'), + 'ym_2503': ('2025-03-01', '2025-03-31'), + 'ym_2504': ('2025-04-01', '2025-04-30'), + 'ym_2505': ('2025-05-01', '2025-05-31'), + 'ym_2506': ('2025-06-01', '2025-06-30'), + 'ym_2507': ('2025-07-01', '2025-07-31'), + 'ym_2508': ('2025-08-01', '2025-08-31') + } + + def __init__(self, db_config: dict, logger_name: str = 'Calculate'): + """ + 初始化市场数据计算器 + + Args: + db_config: 数据库配置字典 + logger_name: 日志记录器名称 + """ + self.db_config = db_config + self.logger = LogHelper(logger_name=logger_name).setup() + + def create_monthly_avg_table(self, target_table: str = "monthly_close_avg") -> bool: + """ + 创建专门存储2024年10月至2025年8月月度均值的表结构 + + Args: + target_table: 目标表名 + + Returns: + bool: 是否创建成功 + """ + try: + with MySQLHelper(**self.db_config) as db: + create_sql = f""" + CREATE TABLE IF NOT EXISTS {target_table} ( + id INT AUTO_INCREMENT PRIMARY KEY, + stock_code VARCHAR(20) NOT NULL COMMENT '股票代码', + stock_name VARCHAR(50) COMMENT '股票名称', + ym_2410 DECIMAL(20, 5) COMMENT '2024年10月', + ym_2411 DECIMAL(20, 5) COMMENT '2024年11月', + ym_2412 DECIMAL(20, 5) COMMENT '2024年12月', + ym_2501 DECIMAL(20, 5) COMMENT '2025年01月', + ym_2502 DECIMAL(20, 5) COMMENT '2025年02月', + ym_2503 DECIMAL(20, 5) COMMENT '2025年03月', + ym_2504 DECIMAL(20, 5) COMMENT '2025年04月', + ym_2505 DECIMAL(20, 5) COMMENT '2025年05月', + ym_2506 DECIMAL(20, 5) COMMENT '2025年06月', + ym_2507 DECIMAL(20, 5) COMMENT '2025年07月', + ym_2508 DECIMAL(20, 5) COMMENT '2025年08月', + avg_all DECIMAL(20, 5) COMMENT '月间均值', + update_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间', + UNIQUE KEY uk_stock_code (stock_code) + ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='月均流通市值表(2024.10-2025.08)' + """ + db.execute_update(create_sql) + self.logger.info(f"创建/确认表 {target_table} 结构成功") + return True + except Exception as e: + self.logger.error(f"创建表失败: {str(e)}") + return False + + def calculate_and_save_monthly_avg(self, + source_table: str = "stock_quotes", + target_table: str = "monthly_close_avg") -> bool: + """ + 计算并保存2024年10月至2025年8月的月均流通市值 + + Args: + source_table: 源数据表名 + target_table: 目标表名 + + Returns: + bool: 是否成功 + """ + try: + # 确保表结构存在 + if not self.create_monthly_avg_table(target_table): + return False + + with MySQLHelper(**self.db_config) as db: + # 获取所有股票代码和名称 + stock_info = db.execute_query( + f"SELECT DISTINCT stock_code, stock_name FROM {source_table}" + ) + + if not stock_info: + self.logger.error("没有获取到股票基本信息") + return False + + # 为每只股票计算各月均值 + for stock in stock_info: + stock_code = stock['stock_code'] + stock_name = stock['stock_name'] + + monthly_data = {'stock_code': stock_code, 'stock_name': stock_name} + + # 计算每个月的均值 + for month_col, (start_date, end_date) in self.MONTH_RANGES.items(): + sql = """ + SELECT AVG(close_price * float_share) as avg_close + FROM {} + WHERE stock_code = %s + AND trade_date BETWEEN %s AND %s + AND close_price IS NOT NULL + AND float_share IS NOT NULL + """.format(source_table) + + result = db.execute_query(sql, (stock_code, start_date, end_date)) + monthly_data[month_col] = float(result[0]['avg_close']) * 1000 if result and result[0]['avg_close'] else None + + # 提取所有以 'ym_' 开头的键的值 + ym_values = [value for key, value in monthly_data.items() if key.startswith('ym_')] + valid_ym_values = [value for value in ym_values if value is not None] + + # 计算全部月的均值 + if valid_ym_values: + average = sum(valid_ym_values) / len(valid_ym_values) + monthly_data['avg_all'] = average + self.logger.debug(f"股票 {stock_code} 月间流通市值平均值为: {average}") + else: + self.logger.warning(f"股票 {stock_code} 没有有效的月度数据") + + # 插入或更新数据 + upsert_sql = f""" + INSERT INTO {target_table} ( + stock_code, stock_name, + ym_2410, ym_2411, ym_2412, + ym_2501, ym_2502, ym_2503, ym_2504, + ym_2505, ym_2506, ym_2507, ym_2508, + avg_all + ) VALUES ( + %(stock_code)s, %(stock_name)s, + %(ym_2410)s, %(ym_2411)s, %(ym_2412)s, + %(ym_2501)s, %(ym_2502)s, %(ym_2503)s, %(ym_2504)s, + %(ym_2505)s, %(ym_2506)s, %(ym_2507)s, %(ym_2508)s, + %(avg_all)s + ) + ON DUPLICATE KEY UPDATE + stock_name = VALUES(stock_name), + ym_2410 = VALUES(ym_2410), + ym_2411 = VALUES(ym_2411), + ym_2412 = VALUES(ym_2412), + ym_2501 = VALUES(ym_2501), + ym_2502 = VALUES(ym_2502), + ym_2503 = VALUES(ym_2503), + ym_2504 = VALUES(ym_2504), + ym_2505 = VALUES(ym_2505), + ym_2506 = VALUES(ym_2506), + ym_2507 = VALUES(ym_2507), + ym_2508 = VALUES(ym_2508), + avg_all = VALUES(avg_all), + update_time = CURRENT_TIMESTAMP + """ + db.execute_update(upsert_sql, monthly_data) + + self.logger.info("月度均值计算和保存完成") + return True + except Exception as e: + self.logger.error(f"计算和保存月度均值失败: {str(e)}") + return False + + @staticmethod + def safe_float(v) -> Optional[float]: + """安全转换为float，处理N/A和空值""" + try: + return float(v) if pd.notna(v) and str(v).upper() != 'N/A' else None + except (ValueError, TypeError): + return None + + @staticmethod + def safe_int(v) -> Optional[int]: + """安全转换为int，处理N/A和空值""" + try: + return int(v) if pd.notna(v) and str(v).upper() != 'N/A' else None + except (ValueError, TypeError): + return None + + @staticmethod + def safe_parse_date(date_str, date_format='%Y-%m-%d'): + """ + 安全解析日期字符串 + :param date_str: 日期字符串 + :param date_format: 日期格式 + :return: 解析后的datetime对象或None + """ + if not date_str or pd.isna(date_str) or str(date_str).strip() == '': + return None + try: + return datetime.strptime(str(date_str), date_format) + except ValueError: + return None + + def validate_market_data(self, dataset: list) -> list: + """ + 验证市场数据有效性 + + Args: + dataset (list): 原始数据集 + + Returns: + list: 通过验证的数据集 + """ + validated_data = [] + for item in dataset: + try: + # 必要字段检查 + if not item.get('code') or not item.get('name'): + self.logger.warning(f"跳过无效数据: 缺少必要字段 code或name") + continue + + # 筛选股票名称 + if item.get('name')[-1] == 'R': + continue + + # 数值范围验证 + if item.get('lot_size') is not None and item['lot_size'] < 0: + self.logger.warning(f"股票 {item['code']} 的lot_size为负值: {item['lot_size']}") + item['lot_size'] = None + + validated_data.append(item) + except Exception as e: + self.logger.warning(f"数据验证失败，跳过记录 {item.get('code')}: {str(e)}") + continue + + return validated_data + + def get_market_data(self, market: Market) -> List[str]: + """ + 从Futu API获取指定市场的股票代码列表 + + Args: + market (Market): 市场枚举值，如 Market.SH, Market.SZ + + Returns: + List[str]: 股票代码列表 + """ + quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) + try: + ret, data = quote_ctx.get_stock_basicinfo(market, SecurityType.STOCK) + if ret == RET_OK: + # 提取code列并转换为列表 + codes = data['code'].astype(str).tolist() + self.logger.info(f"获取到 {market} 市场 {len(codes)} 个股票代码") + return codes + else: + self.logger.error(f"获取股票代码失败: {data}") + return [] + except Exception as e: + self.logger.error(f"获取股票代码时发生异常: {str(e)}") + return [] + finally: + quote_ctx.close() + + def get_stock_codes(self) -> List[str]: + """从conditionalselection表获取所有股票代码""" + try: + with MySQLHelper(**self.db_config) as db: + sql = f"SELECT DISTINCT stock_code,stock_name FROM stocks_hk" + results = db.execute_query(sql) + return [ + row['stock_code'] + for row in results + if row['stock_code'] and (row.get('stock_name', '') and not (row.get('stock_name') and str(row['stock_name'])[-1] == 'R')) + ] + except Exception as e: + self.logger.error(f"获取股票代码失败: {str(e)}") + return [] + + @staticmethod + def read_stock_codes_list(file_path='Reservedcode.txt'): + """基础读取方法 - 按行读取所有内容""" + try: + with open(file_path, 'r', encoding='utf-8') as f: + lines = f.readlines() + # 去除每行末尾的换行符，并过滤空行 + codes = [line.strip() for line in lines if line.strip()] + return codes + except FileNotFoundError: + print(f"文件 {file_path} 不存在") + return [] + except Exception as e: + print(f"读取文件失败: {str(e)}") + return [] + + def get_monthly_avg_data(self, table_name: str) -> Optional[List[Dict]]: + """ + 从数据库读取月度均值数据 + + Args: + table_name: 源数据表名 + + Returns: + List[Dict]: 查询结果数据集，失败返回None + """ + try: + with MySQLHelper(**self.db_config) as db: + # 获取表结构信息 + columns = db.execute_query(f""" + SELECT COLUMN_NAME + FROM INFORMATION_SCHEMA.COLUMNS + WHERE TABLE_SCHEMA = %s AND TABLE_NAME = %s + ORDER BY ORDINAL_POSITION + """, (self.db_config['database'], table_name)) + + if not columns: + self.logger.error(f"表 {table_name} 不存在或没有列") + return None + + # 获取列名列表(排除id和update_time) + field_names = [col['COLUMN_NAME'] for col in columns + if col['COLUMN_NAME'] not in ('id', 'update_time')] + + # 查询数据 + data = db.execute_query(f""" + SELECT {', '.join(field_names)} + FROM {table_name} + ORDER BY stock_code + """) + + if not data: + self.logger.error(f"表 {table_name} 中没有数据") + return None + + return data + + except Exception as e: + self.logger.error(f"从数据库读取月度均值数据失败: {str(e)}") + return None + + def get_float_share_data(self, table_name: str) -> Optional[List[Dict]]: + """ + 从conditionalselection表读取流通股本数据 + + Args: + table_name: 源数据表名 + + Returns: + List[Dict]: 查询结果数据集，失败返回None + """ + try: + with MySQLHelper(**self.db_config) as db: + # 查询流通股本数据 + data = db.execute_query(f""" + SELECT stock_code, stock_name, float_share + FROM {table_name} + ORDER BY stock_code + """) + + if not data: + self.logger.error(f"表 {table_name} 中没有流通股本数据") + return None + + return data + + except Exception as e: + self.logger.error(f"从数据库读取流通股本数据失败: {str(e)}") + return None + + def export_to_csv(self, data: List[Dict], output_file: str) -> bool: + """ + 将合并后的数据导出到CSV文件 + + Args: + data: 要导出的数据集 + output_file: 输出的CSV文件路径 + + Returns: + bool: 是否导出成功 + """ + if not data: + self.logger.warning("没有数据可导出") + return False + + try: + # 获取字段名(使用第一个数据的键) + field_names = list(data[0].keys()) + + with open(output_file, mode='w', newline='', encoding='utf-8-sig') as csvfile: + writer = csv.DictWriter(csvfile, fieldnames=field_names) + + # 写入中文表头 + writer.writerow({col: self.HEADER_MAP.get(col, col) for col in field_names}) + + # 写入数据 + writer.writerows(data) + + self.logger.info(f"成功导出 {len(data)} 条记录到CSV文件: {output_file}") + return True + + except Exception as e: + self.logger.error(f"导出到CSV失败: {str(e)}") + return False + + def export_data(self, monthly_table: str, csv_file: str = None) -> bool: + """ + 导出合并后的数据到CSV + + Args: + monthly_table: 月度均价表名 + csv_file: CSV输出路径(可选) + + Returns: + bool: 是否导出成功 + """ + # 从数据库获取数据 + monthly_data = self.get_monthly_avg_data(monthly_table) + if not monthly_data: + self.logger.error("无法获取月度均价数据") + return False + + # 导出结果 + file_path = 'data/' + csv_file if csv_file else None + csv_success = True + if csv_file: + csv_success = self.export_to_csv(monthly_data, file_path) + + return csv_success \ No newline at end of file diff --git a/DataAnalysis/__init__.py b/DataAnalysis/__init__.py new file mode 100644 index 0000000..802619b --- /dev/null +++ b/DataAnalysis/__init__.py @@ -0,0 +1,3 @@ +from .DataExporter import DataExporter +from .MarketDataCalculator import MarketDataCalculator +from .checktable import * diff --git a/DataAnalysis/checktable.py b/DataAnalysis/checktable.py new file mode 100644 index 0000000..a15e66d --- /dev/null +++ b/DataAnalysis/checktable.py @@ -0,0 +1,145 @@ +""" + 检查K线数据是否下载完成 + + 检测表格中的股票是否都有对应的表格 +""" +from typing import List +from base import MySQLHelper +from base import LogHelper + +# 基本用法（自动创建日期日志+控制台输出） +logger = LogHelper(logger_name = 'checkTable').setup() + +class StockTableChecker: + def __init__(self, db_config: dict): + self.db_config = db_config + self.stock_list_table = "stock_filter" + + def get_stock_codes(self) -> List[str]: + """从conditionalselection表获取所有股票代码""" + try: + with MySQLHelper(**self.db_config) as db: + sql = f"SELECT DISTINCT stock_code FROM {self.stock_list_table}" + results = db.execute_query(sql) + return [row['stock_code'] for row in results if row['stock_code']] + except Exception as e: + logger.error(f"获取股票代码失败: {str(e)}") + return [] + + def get_stock_hk(self) -> List[str]: + """从conditionalselection表获取所有股票代码""" + try: + with MySQLHelper(**self.db_config) as db: + sql = f"SELECT DISTINCT stock_code FROM stocks_hk" + results = db.execute_query(sql) + return [row['stock_code'] for row in results if row['stock_code']] + except Exception as e: + logger.error(f"获取股票代码失败: {str(e)}") + return [] + + def check_tables_exist(self, stock_codes: List[str]) -> dict: + """ + 检查数据库中是否存在与股票代码同名的表 + 返回: {'exists': [], 'not_exists': []} + """ + if not stock_codes: + return {'exists': [], 'not_exists': []} + + try: + with MySQLHelper(**self.db_config) as db: + # 获取数据库中所有表名 + sql = "SHOW TABLES" + tables = [list(row.values())[0] for row in db.execute_query(sql)] + + # 检查每个股票代码对应的表是否存在 + result = {'exists': [], 'not_exists': []} + for code in stock_codes: + # 处理股票代码中的特殊字符，例如将'.'替换为'_' + table_name = 'hk_' + code[3:] + if table_name in tables: + result['exists'].append(code) + else: + result['not_exists'].append(code) + + return result + except Exception as e: + logger.error(f"检查表存在性失败: {str(e)}") + return {'exists': [], 'not_exists': []} + + def write_missing_codes_to_txt(self, missing_codes: list, filename: str = "data\missing_tables.txt"): + """将缺失的股票代码写入TXT文件""" + try: + with open(filename, 'w', encoding='utf-8') as f: + for code in missing_codes: + f.write(f"{code}\n") + logger.info(f"已将 {len(missing_codes)} 个缺失表对应的股票代码写入 {filename}") + except Exception as e: + logger.error(f"写入TXT文件失败: {str(e)}") + + def read_missing_codes_basic(file_path='missing_tables.txt'): + """基础读取方法 - 按行读取所有内容""" + try: + with open(file_path, 'r', encoding='utf-8') as f: + lines = f.readlines() + # 去除每行末尾的换行符，并过滤空行 + codes = [line.strip() for line in lines if line.strip()] + return codes + except FileNotFoundError: + print(f"文件 {file_path} 不存在") + return [] + except Exception as e: + print(f"读取文件失败: {str(e)}") + return [] + + + def run_check(self): + """执行完整的检查流程""" + logger.info("开始检查股票代码对应表...") + + # 1. 获取所有股票代码 + stock_codes = self.get_stock_codes() + if not stock_codes: + logger.error("没有获取到任何股票代码") + return + + logger.info(f"共获取到 {len(stock_codes)} 个股票代码") + + stockhk = self.get_stock_hk() + # stockhk_ = stockhk[~stockhk['stock_name'].str[-1].eq('R')] + market_data_new = list(set(stockhk) - set(stock_codes)) + market_data_new2= list(set(stock_codes) - set(stockhk)) + + # 2. 检查表存在性 + check_result = self.check_tables_exist(stock_codes) + exists_count = len(check_result['exists']) + not_exists_count = len(check_result['not_exists']) + + # 3. 输出结果 + logger.info("\n检查结果:") + logger.info(f"存在的表数量: {exists_count}") + logger.info(f"不存在的表数量: {not_exists_count}") + + if not_exists_count > 0: + logger.info("\n不存在的表对应的股票代码:") + for code in check_result['not_exists']: + logger.info(code) + + # 4. 统计信息 + logger.info("\n统计摘要:") + logger.info(f"总股票代码数: {len(stock_codes)}") + logger.info(f"存在对应表的比例: {exists_count/len(stock_codes):.2%}") + logger.info(f"缺失对应表的比例: {not_exists_count/len(stock_codes):.2%}") + + # 4. 将缺失的股票代码写入TXT文件 + if check_result['not_exists']: + self.write_missing_codes_to_txt(check_result['not_exists']) + + +# 数据库配置 +db_config = { + 'host': 'localhost', + 'user': 'root', + 'password': 'bzskmysql', + 'database': 'hk_kline_1d' +} + diff --git a/DataAnalysis/exportExcelToDB_HK.py b/DataAnalysis/exportExcelToDB_HK.py new file mode 100644 index 0000000..8c9ce13 --- /dev/null +++ b/DataAnalysis/exportExcelToDB_HK.py @@ -0,0 +1,478 @@ +""" +香港证券交易所下载的过票数据，导入数据库 + +包含所有的港股主板股票： + 正在交易的、停牌的、人民币交易的 + +后续-> 优化日志输出 + +""" + +import pandas as pd +import os +import sys +import csv +import chardet # 用于检测文件编码 +from pathlib import Path +from datetime import datetime +import re + +# 获取当前文件的目录 +current_dir = os.path.dirname(os.path.abspath(__file__)) +# 获取项目根目录（假设base文件夹在项目根目录下） +project_root = os.path.dirname(current_dir) +# 将项目根目录添加到Python路径 +sys.path.append(project_root) + +from base.LogHelper import LogHelper +from base.MySQLHelper import MySQLHelper + +logger = LogHelper(logger_name = 'HK_Import').setup() + +class StockDataImporter: + """股票数据导入工具（支持CSV）""" + + COLUMN_MAPPING = { + '股票代码': 'stock_code', + '股票': 'stock_name', + '证券简称': 'short_name', + '更新时间': 'updated_at' + } + + def __init__(self, data_dir: Path, db_config: dict): + self.data_dir = data_dir + self.db_config = db_config + self.df = None + self.csv_file = None + self.encoding = 'utf-8' # 默认编码 + self.delimiter = ',' # 默认分隔符 + + def find_csv_file(self) -> Path: + """在data文件夹中查找CSV文件""" + # 查找所有CSV文件 + csv_files = list(self.data_dir.glob("香港股票列表.csv")) + + if not csv_files: + logger.error(f"在 {self.data_dir} 中没有找到CSV文件") + return None + + # 如果有多个文件，选择最新的 + if len(csv_files) > 1: + csv_files.sort(key=os.path.getmtime, reverse=True) + logger.info(f"找到多个CSV文件，选择最新的: {csv_files[0].name}") + + return csv_files[0] + + def validate_file(self, file_path: Path) -> bool: + """验证CSV文件是否有效""" + try: + if not file_path.exists(): + logger.error(f"CSV文件不存在: {file_path}") + return False + + file_size = file_path.stat().st_size + if file_size == 0: + logger.error(f"CSV文件为空: {file_path}") + return False + + return True + except Exception as e: + logger.error(f"文件验证失败: {e}") + return False + + def detect_file_encoding(self, file_path: Path) -> str: + """检测文件编码""" + try: + # 读取文件开头部分进行编码检测 + with open(file_path, 'rb') as f: + raw_data = f.read(10000) # 读取前10KB + + # 使用chardet检测编码 + result = chardet.detect(raw_data) + encoding = result['encoding'] + confidence = result['confidence'] + + # 常见编码替代 + encoding_map = { + 'GB2312': 'GBK', + 'gb2312': 'GBK', + 'ISO-8859-1': 'latin1', + 'ascii': 'utf-8' + } + + # 应用映射 + encoding = encoding_map.get(encoding, encoding) + + logger.info(f"检测到编码: {encoding} (置信度: {confidence:.2f})") + return encoding or 'utf-8' + except Exception as e: + logger.error(f"编码检测失败: {e}, 使用默认UTF-8") + return 'utf-8' + + def detect_csv_delimiter(self, file_path: Path) -> str: + """自动检测CSV分隔符""" + try: + # 使用检测到的编码打开文件 + with open(file_path, 'r', encoding=self.encoding) as f: + # 读取前5行 + lines = [f.readline() for _ in range(5) if f.readline()] + + # 尝试常见分隔符 + delimiters = [',', '\t', ';', '|'] + delimiter_counts = {} + + for delim in delimiters: + count = 0 + for line in lines: + count += line.count(delim) + delimiter_counts[delim] = count + + # 选择出现次数最多的分隔符 + best_delim = max(delimiter_counts, key=delimiter_counts.get) + + # 如果没有任何分隔符，则使用逗号 + if delimiter_counts[best_delim] == 0: + logger.warning(f"无法检测到有效的分隔符，使用默认逗号分隔符") + return ',' + + logger.info(f"检测到分隔符: {repr(best_delim)}") + return best_delim + except Exception as e: + logger.error(f"检测分隔符失败: {e}, 使用默认逗号分隔符") + return ',' + + def read_csv_data(self, file_path: Path) -> bool: + """从CSV文件读取数据""" + try: + # 1. 检测文件编码 + self.encoding = self.detect_file_encoding(file_path) + + # 2. 检测分隔符 + self.delimiter = self.detect_csv_delimiter(file_path) + + # 3. 读取CSV文件 + logger.info(f"使用编码 '{self.encoding}' 和分隔符 '{self.delimiter}' 读取文件") + + self.df = pd.read_csv( + file_path, + delimiter=self.delimiter, + dtype=str, + encoding=self.encoding, + on_bad_lines='warn', + quoting=csv.QUOTE_MINIMAL, + engine='python' # 更健壮的引擎 + ) + + # 检查是否读取到数据 + if self.df.empty: + logger.error("CSV文件没有包含有效数据") + return False + + # 重命名列 + self.df = self.df.rename(columns=self.COLUMN_MAPPING) + + # 移除可能存在的空行 + self.df = self.df.dropna(how='all') + + logger.info(f"成功读取CSV数据，共 {len(self.df)} 条记录") + return True + except UnicodeDecodeError: + # 尝试其他编码 + encodings_to_try = ['GBK', 'latin1', 'ISO-8859-1', 'utf-16'] + for enc in encodings_to_try: + try: + logger.warning(f"尝试使用 {enc} 编码读取文件") + self.df = pd.read_csv( + file_path, + delimiter=self.delimiter, + dtype=str, + encoding=enc + ) + self.encoding = enc + logger.info(f"成功使用 {enc} 编码读取文件") + return True + except: + continue + + logger.error("所有编码尝试均失败") + return False + except PermissionError: + logger.error(f"文件被占用，请关闭后重试: {file_path}") + return False + except Exception as e: + logger.error(f"读取CSV文件失败: {e}") + return False + + # 定义一个函数来处理单个 stock_code + def format_stock_code(name, code): + # 将代码转换为字符串 + code_str = str(code) + + # 检查是否为纯数字 + if re.match(r'^\d+$', code_str): + # 如果是纯数字，转换为5位数字，不足补0 + formatted_code = f"HK.{int(code_str):05d}" + return formatted_code + else: + # 如果不是纯数字，保持 + return code_str + + def clean_stock_data(self) -> bool: + """清洗股票数据""" + try: + # 处理股票代码：清理空行 + self.df = self.df.dropna(subset=['stock_code']) + self.df = self.df[~self.df['stock_code'].astype(str).str.contains('停牌')] + self.df['stock_code'] = self.df['stock_code'].apply(self.format_stock_code) + # # 格式化上市日期 + # self.df['listing_date'] = pd.to_datetime( + # self.df['listing_date'], + # format='%Y%m%d', + # errors='coerce' + # ).dt.strftime('%Y-%m-%d') + + # # 检查日期转换是否成功 + # date_na_count = self.df['listing_date'].isna().sum() + # if date_na_count > 0: + # logger.warning(f"发现 {date_na_count} 条记录的上市日期格式不正确") + + # # 提取交易所信息 + # self.df['exchange'] = self.df['a_stock_code'].apply( + # lambda x: 'SH' if str(x).startswith('60') else 'SZ' if str(x).startswith(('00', '30')) else 'OTHER' + # ) + + # # 验证A股代码格式 + # invalid_codes = self.df[~self.df['a_stock_code'].astype(str).str.match(r'^\d{6}$')] + # if not invalid_codes.empty: + # logger.warning(f"发现 {len(invalid_codes)} 条无效的A股代码") + # logger.debug(f"无效代码示例: {invalid_codes['a_stock_code'].head().tolist()}") + + logger.info("数据清洗完成") + return True + except Exception as e: + logger.error(f"数据清洗失败: {e}") + return False + + def create_stocks_table(self, db: MySQLHelper) -> bool: + """创建股票信息表""" + create_table_sql = """ + CREATE TABLE IF NOT EXISTS stocks_hk ( + stock_code VARCHAR(128) PRIMARY KEY COMMENT '股票代码', + stock_name VARCHAR(128) COMMENT '股票名称', + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间' + ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='港股主板股票列表'; + """ + + try: + db.execute_update(create_table_sql) + logger.info("股票信息打开成功") + return True + except Exception as e: + logger.error(f"创建表失败: {e}") + return False + + def insert_data_to_db(self, db: MySQLHelper) -> bool: + """将数据插入数据库""" + if self.df is None or self.df.empty: + logger.error("没有有效数据可插入") + return False + + # 准备SQL语句（支持重复记录更新） + insert_sql = """ + INSERT INTO stocks_hk ( + stock_code, stock_name + ) VALUES ( + %s, %s + ) + ON DUPLICATE KEY UPDATE + stock_name = VALUES(stock_name) + """ + + # 准备参数列表 + params_list = [] + for _, row in self.df.iterrows(): + if pd.notna(row['stock_code']): + params_list.append(( + row['stock_code'], + row['stock_name'], + )) + + # 批量执行插入 + try: + total_rows = len(params_list) + if total_rows == 0: + logger.error("没有有效数据可插入") + return False + + batch_size = 1000 # 每批插入1000条记录 + + logger.info(f"开始插入数据，共 {total_rows} 条记录") + + # 分批插入，避免大事务问题 + for i in range(0, total_rows, batch_size): + batch_params = params_list[i:i+batch_size] + affected_rows = db.execute_many(insert_sql, batch_params) + logger.info(f"已处理 {min(i+batch_size, total_rows)}/{total_rows} 条记录") + + logger.info(f"成功插入/更新 {total_rows} 条记录") + return True + except Exception as e: + logger.error(f"插入数据失败: {e}") + # 记录前5个参数以帮助调试 + if params_list: + logger.debug(f"前5个参数示例: {params_list[:5]}") + return False + + def verify_data_in_db(self, db: MySQLHelper, sample_size: int = 5) -> bool: + """验证数据库中的数据""" + try: + # 检查记录总数 + count_sql = "SELECT COUNT(*) AS total FROM stocks_hk" + result = db.execute_query(count_sql) + db_count = result[0]['total'] if result else 0 + logger.info(f"数据库中共有 {db_count} 条记录") + + # 随机抽样检查 + sample_sql = f""" + SELECT stock_code, stock_name + FROM stocks_hk + ORDER BY RAND() + LIMIT {sample_size} + """ + samples = db.execute_query(sample_sql) + + logger.info("\n随机抽样记录:") + for idx, sample in enumerate(samples, 1): + logger.info(f"{idx}. {sample['stock_code']}: {sample['stock_name']}") + + return True + except Exception as e: + logger.error(f"数据验证失败: {e}") + return False + + def run_import(self) -> bool: + """执行完整的导入流程""" + logger.info(f"开始导入股票数据，数据目录: {self.data_dir}") + start_time = datetime.now() + + # 1. 查找CSV文件 + csv_file = self.find_csv_file() + if not csv_file: + return False + + # 2. 验证文件 + if not self.validate_file(csv_file): + return False + + # 3. 读取CSV数据 + if not self.read_csv_data(csv_file): + return False + + # 4. 清洗数据 + if not self.clean_stock_data(): + return False + + # 数据统计 + # 确保stock_code列是字符串类型，以便进行字符串操作 + self.df['stock_code'] = self.df['stock_code'].astype(str) + + # 统计stock_code中包含"停牌"的数量 + suspended_count = self.df[self.df['stock_code'].str.contains('停牌')].shape[0] + + # 统计stock_name中最后一个字符为"R"的数量 + # 首先确保stock_name是字符串类型 + self.df['stock_name'] = self.df['stock_name'].astype(str) + # 使用str.endswith()方法检查最后一个字符是否为R + r_ending_count = self.df[self.df['stock_name'].str.endswith('R')].shape[0] + + logger.info(f"股票代码中包含'停牌'的数量: {suspended_count}") + logger.info(f"股票名称以'R'结尾的数量: {r_ending_count}") + + # 如果你想查看具体是哪些记录满足条件 + suspended_stocks = self.df[self.df['stock_code'].str.contains('停牌')] + r_ending_stocks = self.df[self.df['stock_name'].str.endswith('R')] + + logger.info("\n股票代码中包含'停牌'的记录:") + logger.info(suspended_stocks) + + logger.info("\n股票名称以'R'结尾的记录:") + logger.info(r_ending_stocks) + + # 显示前5条数据 + logger.info("\n前5条股票数据:") + for i, row in self.df.head().iterrows(): + logger.info(f"{row['stock_code']}: {row['stock_name']}") + + # 5. 连接数据库并导入 + try: + with MySQLHelper(**self.db_config) as db: + # 5.1 创建表 + if not self.create_stocks_table(db): + return False + + # 5.2 插入数据 + if not self.insert_data_to_db(db): + return False + + # 5.3 验证数据 + if not self.verify_data_in_db(db): + return False + except Exception as e: + logger.error(f"数据库操作异常: {e}") + return False + + # 计算执行时间 + duration = datetime.now() - start_time + logger.info(f"数据处理成功完成! 总耗时: {duration.total_seconds():.2f}秒") + return True + +def read_stock_codes_list(file_path='Reservedcode.txt'): + """基础读取方法 - 按行读取所有内容""" + try: + with open(file_path, 'r', encoding='utf-8') as f: + lines = f.readlines() + # 去除每行末尾的换行符，并过滤空行 + codes = [line.strip() for line in lines if line.strip()] + return codes + except FileNotFoundError: + print(f"文件 {file_path} 不存在") + return [] + except Exception as e: + print(f"读取文件失败: {str(e)}") + return [] + +if __name__ == "__main__": + + # 数据库配置 + db_config = { + 'host': 'localhost', + 'user': 'root', + 'password': 'bzskmysql', + 'database': 'hk_kline_1d' + } + + # 获取当前脚本所在目录 + current_dir = Path.cwd().parent + + # 设置数据目录 + DATA_DIR = current_dir /"HKDataManagment" / "data" + + # 确保data目录存在 + DATA_DIR.mkdir(exist_ok=True, parents=True) + + # 安装依赖 (如果chardet未安装) + try: + import chardet + except ImportError: + logger.info("安装chardet库以支持编码检测...") + import subprocess + subprocess.check_call([sys.executable, "-m", "pip", "install", "chardet"]) + import chardet + + # 创建导入器并执行导入 + importer = StockDataImporter(DATA_DIR, db_config) + + if importer.run_import(): + logger.info("股票数据导入成功!") + else: + logger.error("股票数据导入失败，请检查日志了解详情") \ No newline at end of file diff --git a/PyCode/CalculateCapitalization.py b/PyCode/CalculateCapitalization.py deleted file mode 100644 index 381b85b..0000000 --- a/PyCode/CalculateCapitalization.py +++ /dev/null @@ -1,298 +0,0 @@ -""" - 计算平均市值 - - 根据 conditionalselection 表格中的股票代码，查找日K数据表格 - 每个月计算一次结果存放在 hk_monthly_avg_2410_2508 表格中 - -""" - -import pandas as pd -from datetime import datetime -import logging -from futu import * -from pymysql import Error -from MySQLHelper import MySQLHelper # MySQLHelper类保存为单独文件 -from typing import Optional, List, Dict, Union, Tuple - - -def create_monthly_avg_table(db_config: dict, target_table: str = "monthly_close_avg") -> bool: - """ - 创建专门存储2024年10月至2025年8月月度均值的表结构 - - Args: - db_config: 数据库配置 - target_table: 目标表名 - - Returns: - bool: 是否创建成功 - """ - try: - with MySQLHelper(**db_config) as db: - create_sql = f""" - CREATE TABLE IF NOT EXISTS {target_table} ( - id INT AUTO_INCREMENT PRIMARY KEY, - stock_code VARCHAR(20) NOT NULL COMMENT '股票代码', - stock_name VARCHAR(50) COMMENT '股票名称', - ym_2410 DECIMAL(10, 3) COMMENT '2024年10月均收盘价', - ym_2411 DECIMAL(10, 3) COMMENT '2024年11月均收盘价', - ym_2412 DECIMAL(10, 3) COMMENT '2024年12月均收盘价', - ym_2501 DECIMAL(10, 3) COMMENT '2025年1月均收盘价', - ym_2502 DECIMAL(10, 3) COMMENT '2025年2月均收盘价', - ym_2503 DECIMAL(10, 3) COMMENT '2025年3月均收盘价', - ym_2504 DECIMAL(10, 3) COMMENT '2025年4月均收盘价', - ym_2505 DECIMAL(10, 3) COMMENT '2025年5月均收盘价', - ym_2506 DECIMAL(10, 3) COMMENT '2025年6月均收盘价', - ym_2507 DECIMAL(10, 3) COMMENT '2025年7月均收盘价', - ym_2508 DECIMAL(10, 3) COMMENT '2025年8月均收盘价', - update_time TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP COMMENT '更新时间', - UNIQUE KEY uk_stock_code (stock_code) - ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='月度收盘价均值表(2024.10-2025.08)' - """ - db.execute_update(create_sql) - # logging.info(f"创建/确认表 {target_table} 结构成功") - return True - except Exception as e: - logging.error(f"创建表失败: {str(e)}") - return False - -def calculate_and_save_monthly_avg(db_config: dict, - source_table: str = "stock_quotes", - target_table: str = "monthly_close_avg") -> bool: - """ - 计算并保存2024年10月至2025年8月的月度收盘价均值 - - Args: - db_config: 数据库配置 - source_table: 源数据表名 - target_table: 目标表名 - - Returns: - bool: 是否成功 - """ - # 定义分析的时间范围 - month_ranges = { - 'ym_2410': ('2024-10-01', '2024-10-31'), - 'ym_2411': ('2024-11-01', '2024-11-30'), - 'ym_2412': ('2024-12-01', '2024-12-31'), - 'ym_2501': ('2025-01-01', '2025-01-31'), - 'ym_2502': ('2025-02-01', '2025-02-28'), - 'ym_2503': ('2025-03-01', '2025-03-31'), - 'ym_2504': ('2025-04-01', '2025-04-30'), - 'ym_2505': ('2025-05-01', '2025-05-31'), - 'ym_2506': ('2025-06-01', '2025-06-30'), - 'ym_2507': ('2025-07-01', '2025-07-31'), - 'ym_2508': ('2025-08-01', '2025-08-31') - } - - try: - # 确保表结构存在 - if not create_monthly_avg_table(db_config, target_table): - return False - - with MySQLHelper(**db_config) as db: - # 获取所有股票代码和名称 - stock_info = db.execute_query( - f"SELECT DISTINCT stock_code, stock_name FROM {source_table}" - ) - - if not stock_info: - logging.error("没有获取到股票基本信息") - return False - - # 为每只股票计算各月均值 - for stock in stock_info: - stock_code = stock['stock_code'] - stock_name = stock['stock_name'] - - monthly_data = {'stock_code': stock_code, 'stock_name': stock_name} - - # 计算每个月的均值 - for month_col, (start_date, end_date) in month_ranges.items(): - sql = f""" - SELECT AVG(close_price) as avg_close - FROM {source_table} - WHERE stock_code = %s - AND trade_date BETWEEN %s AND %s - """ - result = db.execute_query(sql, (stock_code, start_date, end_date)) - monthly_data[month_col] = float(result[0]['avg_close']) if result and result[0]['avg_close'] else None - - # 插入或更新数据 - upsert_sql = f""" - INSERT INTO {target_table} ( - stock_code, stock_name, - ym_2410, ym_2411, ym_2412, - ym_2501, ym_2502, ym_2503, ym_2504, - ym_2505, ym_2506, ym_2507, ym_2508 - ) VALUES ( - %(stock_code)s, %(stock_name)s, - %(ym_2410)s, %(ym_2411)s, %(ym_2412)s, - %(ym_2501)s, %(ym_2502)s, %(ym_2503)s, %(ym_2504)s, - %(ym_2505)s, %(ym_2506)s, %(ym_2507)s, %(ym_2508)s - ) - ON DUPLICATE KEY UPDATE - stock_name = VALUES(stock_name), - ym_2410 = VALUES(ym_2410), - ym_2411 = VALUES(ym_2411), - ym_2412 = VALUES(ym_2412), - ym_2501 = VALUES(ym_2501), - ym_2502 = VALUES(ym_2502), - ym_2503 = VALUES(ym_2503), - ym_2504 = VALUES(ym_2504), - ym_2505 = VALUES(ym_2505), - ym_2506 = VALUES(ym_2506), - ym_2507 = VALUES(ym_2507), - ym_2508 = VALUES(ym_2508), - update_time = CURRENT_TIMESTAMP - """ - db.execute_update(upsert_sql, monthly_data) - - logging.info("月度均值计算和保存完成") - return True - except Exception as e: - logging.error(f"计算和保存月度均值失败: {str(e)}") - return False - -# 安全转换函数 -def safe_float(v) -> Optional[float]: - """安全转换为float，处理N/A和空值""" - try: - return float(v) if pd.notna(v) and str(v).upper() != 'N/A' else None - except (ValueError, TypeError): - return None - -def safe_int(v) -> Optional[int]: - """安全转换为int，处理N/A和空值""" - try: - return int(v) if pd.notna(v) and str(v).upper() != 'N/A' else None - except (ValueError, TypeError): - return None - -def safe_parse_date(date_str, date_format='%Y-%m-%d'): - """ - 安全解析日期字符串 - :param date_str: 日期字符串 - :param date_format: 日期格式 - :return: 解析后的datetime对象或None - """ - if not date_str or pd.isna(date_str) or str(date_str).strip() == '': - return None - try: - return datetime.strptime(str(date_str), date_format) - except ValueError: - logging.warning(f"无法解析日期字符串: {date_str}") - return None - -def validate_market_data(dataset: list) -> list: - """ - 验证市场数据有效性 - - Args: - dataset (list): 原始数据集 - - Returns: - list: 通过验证的数据集 - """ - validated_data = [] - for item in dataset: - try: - # 必要字段检查 - if not item.get('code') or not item.get('name'): - logging.warning(f"跳过无效数据: 缺少必要字段 code或name") - continue - - # 筛选股票名称 - if item.get('name')[-1] == 'R': - continue - - # 数值范围验证 - if item.get('lot_size') is not None and item['lot_size'] < 0: - logging.warning(f"股票 {item['code']} 的lot_size为负值: {item['lot_size']}") - item['lot_size'] = None - - validated_data.append(item) - except Exception as e: - logging.warning(f"数据验证失败，跳过记录 {item.get('code')}: {str(e)}") - continue - - return validated_data - -def get_market_data(market: Market) -> List[str]: - """ - 从Futu API获取指定市场的股票代码列表 - - Args: - market (Market): 市场枚举值，如 Market.SH, Market.SZ - - Returns: - List[str]: 股票代码列表 - """ - quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) - try: - ret, data = quote_ctx.get_stock_basicinfo(market, SecurityType.STOCK) - if ret == RET_OK: - # 提取code列并转换为列表 - codes = data['code'].astype(str).tolist() - logging.info(f"获取到 {market} 市场 {len(codes)} 个股票代码") - return codes - else: - logging.error(f"获取股票代码失败: {data}") - return [] - except Exception as e: - logging.error(f"获取股票代码时发生异常: {str(e)}") - return [] - finally: - quote_ctx.close() - -def get_stock_codes() -> List[str]: - """从conditionalselection表获取所有股票代码""" - try: - with MySQLHelper(**db_config) as db: - sql = f"SELECT DISTINCT stock_code,stock_name FROM conditionalselection" - results = db.execute_query(sql) - return [ - row['stock_code'] - for row in results - if row['stock_code'] and (row.get('stock_name', '') and row['stock_name'][-1] != 'R') # 排除 name 以 R 结尾的票 - ] - except Exception as e: - logging.error(f"获取股票代码失败: {str(e)}") - return [] - -if __name__ == "__main__": - - # 配置日志 - logging.basicConfig( - level=logging.INFO, - format='%(asctime)s - %(levelname)s - %(message)s', - handlers=[ - logging.FileHandler('Debug.log', encoding='utf-8'), # 关键在这里 - logging.StreamHandler() - ] - ) - - # 数据库配置 - db_config = { - 'host': 'localhost', - 'user': 'root', - 'password': 'bzskmysql', - 'database': 'klinedata_1d_hk' - } - - # market_data = get_market_data(Market.HK) - market_data = get_stock_codes() # 使用按照价格和流通股数量筛选的那个表格 - - for code in market_data: - - tablename = 'hk_' + code[3:] - # 计算并保存月度均值 - success = calculate_and_save_monthly_avg( - db_config=db_config, - source_table=tablename, - target_table="hk_monthly_avg_2410_2508" - ) - - if success: - logging.info("月度均值处理成功完成") - else: - logging.error("处理过程中出现错误") \ No newline at end of file diff --git a/PyCode/ExportData.py b/PyCode/ExportData.py deleted file mode 100644 index 248fe59..0000000 --- a/PyCode/ExportData.py +++ /dev/null @@ -1,237 +0,0 @@ -import csv -import pandas as pd -from MySQLHelper import MySQLHelper -import logging -from typing import List, Dict, Optional, Tuple -from datetime import datetime -from LogHelper import LogHelper - -def get_monthly_avg_data(db_config: dict, table_name: str) -> Optional[List[Dict]]: - """ - 从数据库读取月度均值数据 - - Args: - db_config: 数据库配置 - table_name: 源数据表名 - - Returns: - List[Dict]: 查询结果数据集，失败返回None - """ - try: - with MySQLHelper(**db_config) as db: - # 获取表结构信息 - columns = db.execute_query(f""" - SELECT COLUMN_NAME - FROM INFORMATION_SCHEMA.COLUMNS - WHERE TABLE_SCHEMA = %s AND TABLE_NAME = %s - ORDER BY ORDINAL_POSITION - """, (db_config['database'], table_name)) - - if not columns: - logging.error(f"表 {table_name} 不存在或没有列") - return None - - # 获取列名列表(排除id和update_time) - field_names = [col['COLUMN_NAME'] for col in columns - if col['COLUMN_NAME'] not in ('id', 'update_time')] - - # 查询数据 - data = db.execute_query(f""" - SELECT {', '.join(field_names)} - FROM {table_name} - ORDER BY stock_code - """) - - if not data: - logging.error(f"表 {table_name} 中没有数据") - return None - - return data - - except Exception as e: - logging.error(f"从数据库读取月度均值数据失败: {str(e)}") - return None - -def get_float_share_data(db_config: dict, table_name: str) -> Optional[List[Dict]]: - """ - 从conditionalselection表读取流通股本数据 - - Args: - db_config: 数据库配置 - table_name: 源数据表名 - - Returns: - List[Dict]: 查询结果数据集，失败返回None - """ - try: - with MySQLHelper(**db_config) as db: - # 查询流通股本数据 - data = db.execute_query(f""" - SELECT stock_code, stock_name, float_share - FROM {table_name} - ORDER BY stock_code - """) - - if not data: - logging.error(f"表 {table_name} 中没有流通股本数据") - return None - - return data - - except Exception as e: - logging.error(f"从数据库读取流通股本数据失败: {str(e)}") - return None - -def merge_data(monthly_data: List[Dict], float_share_data: List[Dict]) -> List[Dict]: - """ - 合并月度均价数据和流通股本数据 - - Args: - monthly_data: 月度均价数据 - float_share_data: 流通股本数据 - - Returns: - List[Dict]: 合并后的数据集 - """ - merged_data = [] - float_share_dict = {item['stock_code']: item['float_share'] for item in float_share_data} - - for item in monthly_data: - merged_item = item.copy() - merged_item['float_share'] = float_share_dict.get(item['stock_code'], 'N/A') - merged_data.append(merged_item) - - return merged_data - -def export_to_csv(data: List[Dict], output_file: str) -> bool: - """ - 将合并后的数据导出到CSV文件 - - Args: - data: 要导出的数据集 - output_file: 输出的CSV文件路径 - - Returns: - bool: 是否导出成功 - """ - if not data: - return False - - try: - # 获取字段名(使用第一个数据的键) - field_names = list(data[0].keys()) - - # 字段名到中文的映射 - header_map = { - 'stock_code': '股票代码', - 'stock_name': '股票名称', - 'float_share': '流通股本(千股)', - 'ym_2410': '2024年10月均收盘价', - 'ym_2411': '2024年11月均收盘价', - 'ym_2412': '2024年12月均收盘价', - 'ym_2501': '2025年1月均收盘价', - 'ym_2502': '2025年2月均收盘价', - 'ym_2503': '2025年3月均收盘价', - 'ym_2504': '2025年4月均收盘价', - 'ym_2505': '2025年5月均收盘价', - 'ym_2506': '2025年6月均收盘价', - 'ym_2507': '2025年7月均收盘价', - 'ym_2508': '2025年8月均收盘价' - } - - with open(output_file, mode='w', newline='', encoding='utf-8-sig') as csvfile: - writer = csv.DictWriter(csvfile, fieldnames=field_names) - - # 写入中文表头 - writer.writerow({col: header_map.get(col, col) for col in field_names}) - - # 写入数据 - writer.writerows(data) - - logging.info(f"成功导出 {len(data)} 条记录到CSV文件: {output_file}") - return True - - except Exception as e: - logging.error(f"导出到CSV失败: {str(e)}") - return False - - -def export_combined_data(db_config: dict, - monthly_table: str, - float_share_table: str, - csv_file: str = None) -> bool: - """ - 导出合并后的数据到CSV和/或Excel - - Args: - db_config: 数据库配置 - monthly_table: 月度均价表名 - float_share_table: 流通股本表名 - csv_file: CSV输出路径(可选) - excel_file: Excel输出路径(可选) - - Returns: - bool: 是否至少有一种格式导出成功 - """ - if not csv_file and not excel_file: - logging.error("必须指定至少一种输出格式") - return False - - # 从数据库获取数据 - monthly_data = get_monthly_avg_data(db_config, monthly_table) - if not monthly_data: - logging.error("无法获取月度均价数据") - return False - - float_share_data = get_float_share_data(db_config, float_share_table) - if not float_share_data: - logging.error("无法获取流通股本数据") - return False - - # 合并数据 - merged_data = merge_data(monthly_data, float_share_data) - - # 导出结果 - csv_success = True - excel_success = True - - if csv_file: - csv_success = export_to_csv(merged_data, csv_file) - - return csv_success or excel_success - -# 使用示例 -if __name__ == "__main__": - ogHelper = LogHelper( - level=logging.DEBUG, # 设置日志级别为 DEBUG - format='%(asctime)s [%(levelname)s] %(message)s' # 自定义格式 - ) - - # # 添加处理器 - logHelper.add_console_handler() # 默认输出到 stdout - logHelper.add_file_handler('Debug.log') # 添加文件日志 - - # # 应用配置 - logHelper.setup() - - # 数据库配置 - db_config = { - 'host': 'localhost', - 'user': 'root', - 'password': 'bzskmysql', - 'database': 'klinedata_1d_hk' - } - - # 导出合并数据 - success = export_combined_data( - db_config=db_config, - monthly_table="hk_monthly_avg_2410_2508", - float_share_table="conditionalselection", - csv_file="hk_stocks_combined_data.csv", - excel_file="hk_stocks_combined_data.xlsx" - ) - - if success: - logging.info("数据合并导出成功完成") - else: - logging.error("数据合并导出过程中出现错误") \ No newline at end of file diff --git a/PyCode/ConditionalSelection.py b/UpdateFutuData/ConditionalSelection.py similarity index 97% rename from PyCode/ConditionalSelection.py rename to UpdateFutuData/ConditionalSelection.py index 5413b8a..d5b1107 100644 --- a/PyCode/ConditionalSelection.py +++ b/UpdateFutuData/ConditionalSelection.py @@ -7,8 +7,8 @@ from futu import * import time from typing import List, Dict -from MySQLHelper import MySQLHelper # 假设您已有MySQLHelper类 -from LogHelper import LogHelper +from base.MySQLHelper import MySQLHelper # 假设您已有MySQLHelper类 +from base.LogHelper import LogHelper # 基本用法（自动创建日期日志+控制台输出） logger = LogHelper(logger_name = 'floatShare').setup() @@ -148,7 +148,7 @@ class FutuStockFilter: logger.error(f'获取股票列表错误: {ls}') break - time.sleep(3) # 避免触发限频 + time.sleep(1) # 避免触发限频 logger.info(f"导入完成! 共导入 {total_imported} 条记录") logger.info(f"================= end ===================") diff --git a/UpdateFutuData/__init__.py b/UpdateFutuData/__init__.py new file mode 100644 index 0000000..26fc52e --- /dev/null +++ b/UpdateFutuData/__init__.py @@ -0,0 +1,2 @@ +from .updatekline import * +from .checktable import * \ No newline at end of file diff --git a/PyCode/checktable.py b/UpdateFutuData/checktable.py similarity index 98% rename from PyCode/checktable.py rename to UpdateFutuData/checktable.py index dfe2a5a..83ddbb9 100644 --- a/PyCode/checktable.py +++ b/UpdateFutuData/checktable.py @@ -4,8 +4,7 @@ 检测表格中的股票是否都有对应的表格 """ from typing import List -from MySQLHelper import MySQLHelper # 假设您已有MySQLHelper类 -from LogHelper import LogHelper +from base import MySQLHelper, LogHelper # 基本用法（自动创建日期日志+控制台输出） logger = LogHelper(logger_name = 'checkTable').setup() diff --git a/PyCode/fullmarketdata.py b/UpdateFutuData/fullmarketdata.py similarity index 99% rename from PyCode/fullmarketdata.py rename to UpdateFutuData/fullmarketdata.py index 94931fb..d56f45a 100644 --- a/PyCode/fullmarketdata.py +++ b/UpdateFutuData/fullmarketdata.py @@ -315,7 +315,7 @@ def safe_parse_date(date_str, date_format='%Y-%m-%d'): from futu import * from pymysql import Error -from MySQLHelper import MySQLHelper +from base.MySQLHelper import MySQLHelper from datetime import datetime, timedelta import logging import pandas as pd diff --git a/UpdateFutuData/get_kdata_from_database copy.py b/UpdateFutuData/get_kdata_from_database copy.py new file mode 100644 index 0000000..c896a10 --- /dev/null +++ b/UpdateFutuData/get_kdata_from_database copy.py @@ -0,0 +1,236 @@ +from futu import * +from base.MySQLHelper import MySQLHelper # MySQLHelper类保存为单独文件 +from base.LogHelper import LogHelper +from datetime import datetime +from typing import Optional, List, Dict +from ConditionalSelection import FutuStockFilter +from tqdm import tqdm +import pandas as pd +import time +import csv +import pandas as pd + +def get_monthly_avg_data(db_config: dict, table_name: str) -> Optional[List[Dict]]: + """ + 从数据库读取月度均值数据 + + Args: + db_config: 数据库配置 + table_name: 源数据表名 + + Returns: + List[Dict]: 查询结果数据集，失败返回None + """ + try: + with MySQLHelper(**db_config) as db: + # 获取表结构信息 + columns = db.execute_query(f""" + SELECT COLUMN_NAME + FROM INFORMATION_SCHEMA.COLUMNS + WHERE TABLE_SCHEMA = %s AND TABLE_NAME = %s + ORDER BY ORDINAL_POSITION + """, (db_config['database'], table_name)) + + if not columns: + logger.error(f"表 {table_name} 不存在或没有列") + return None + + # 获取列名列表(排除id和update_time) + field_names = [col['COLUMN_NAME'] for col in columns + if col['COLUMN_NAME'] not in ('id', 'update_time')] + + # 查询数据 + data = db.execute_query(f""" + SELECT {', '.join(field_names)} + FROM {table_name} + ORDER BY stock_code + """) + + if not data: + logger.error(f"表 {table_name} 中没有数据") + return None + + return data + + except Exception as e: + logger.error(f"从数据库读取月度均值数据失败: {str(e)}") + return None + +def get_float_share_data(db_config: dict, table_name: str) -> Optional[List[Dict]]: + """ + 从conditionalselection表读取流通股本数据 + + Args: + db_config: 数据库配置 + table_name: 源数据表名 + + Returns: + List[Dict]: 查询结果数据集，失败返回None + """ + try: + with MySQLHelper(**db_config) as db: + # 查询流通股本数据 + data = db.execute_query(f""" + SELECT stock_code, stock_name, float_share + FROM {table_name} + ORDER BY stock_code + """) + + if not data: + logger.error(f"表 {table_name} 中没有流通股本数据") + return None + + return data + + except Exception as e: + logger.error(f"从数据库读取流通股本数据失败: {str(e)}") + return None + +def export_to_csv(data: List[Dict], output_file: str, mode: str = 'a') -> bool: + """ + 将数据导出到CSV文件，支持追加模式 + + Args: + data: 要导出的数据集 + output_file: 输出的CSV文件路径 + mode: 写入模式，'w'为覆盖写入，'a'为追加写入 + + Returns: + bool: 是否导出成功 + """ + if not data: + logger.warning("没有数据可导出") + return False + + try: + # 获取字段名(使用第一个数据的键) + field_names = list(data[0].keys()) + + # 字段名到中文的映射 + header_map = { + 'stock_code': '股票代码', + 'stock_name': '股票名称', + 'circular_market_val': '流通市值' + } + + # 检查文件是否存在，决定是否需要写入表头 + file_exists = os.path.isfile(output_file) + + with open(output_file, mode=mode, newline='', encoding='utf-8-sig') as csvfile: + writer = csv.DictWriter(csvfile, fieldnames=field_names) + + # # 如果是新文件或覆盖模式，写入表头 + # if not file_exists or mode == 'w': + # # 写入中文表头 + # writer.writerow({col: header_map.get(col, col) for col in field_names}) + + # 写入数据 + writer.writerows(data) + + logger.info(f"成功{'追加' if mode == 'a' and file_exists else '写入'} {len(data)} 条记录到CSV文件: {output_file}") + return True + + except Exception as e: + logger.error(f"导出到CSV失败: {str(e)}") + return False + + +def export_data(db_config: dict, + monthly_table: str, + csv_file: str = None) -> bool: + """ + 导出合并后的数据到CSV和/或Excel + + Args: + db_config: 数据库配置 + monthly_table: 月度均价表名 + float_share_table: 流通股本表名 + csv_file: CSV输出路径(可选) + excel_file: Excel输出路径(可选) + + Returns: + bool: 是否至少有一种格式导出成功 + """ + + # 从数据库获取数据 + monthly_data = get_monthly_avg_data(db_config, monthly_table) + if not monthly_data: + logger.error("无法获取月度均价数据") + return False + + # 导出结果 + filePath = 'data/' + csv_file + csv_success = True + if csv_file: + csv_success = export_to_csv(monthly_data, filePath) + + return csv_success + +def get_stock_codes() -> List[str]: + """从conditionalselection表获取所有股票代码""" + try: + with MySQLHelper(**db_config) as db: + sql = f"SELECT DISTINCT stock_code,stock_name FROM stock_filter" + results = db.execute_query(sql) + return [row['stock_code'] for row in results if row['stock_code']and row['stock_name'][-1] != 'R'] + except Exception as e: + logger.error(f"获取股票代码失败: {str(e)}") + return [] + +def get_kdata_codes(tablename: str = "hk_00001") -> List[str]: + """从conditionalselection表获取所有股票代码""" + try: + with MySQLHelper(**db_config) as db: + sql = """ + SELECT DISTINCT close_price + FROM {} + WHERE trade_date BETWEEN %s AND %s + AND close_price IS NOT NULL + """.format(tablename) + result = db.execute_query(sql, ('2025-08-01', '2025-08-31')) + + return [row['close_price'] for row in result if row['close_price']] + except Exception as e: + logger.error(f"获取股票代码失败: {str(e)}") + return [] + +def get_floatshare_codes(tablename: str = "hk_00001") -> List[str]: + """从conditionalselection表获取所有股票代码""" + try: + with MySQLHelper(**db_config) as db: + sql = """ + SELECT DISTINCT float_share + FROM {} + WHERE trade_date BETWEEN %s AND %s + AND float_share IS NOT NULL + """.format(tablename) + result = db.execute_query(sql, ('2025-08-01', '2025-08-31')) + + return [row['float_share'] for row in result if row['float_share']] + except Exception as e: + logger.error(f"获取股票代码失败: {str(e)}") + return [] + +from sqlalchemy import create_engine +if __name__ == "__main__": + # # 应用配置 + logger = LogHelper(logger_name = 'export').setup() + + # 数据库配置 + db_config = { + 'host': 'localhost', + 'user': 'root', + 'password': 'bzskmysql', + 'database': 'hk_kline_1d' + } + + market_data_all = get_stock_codes() + for code in tqdm(market_data_all, desc="读取股票数据", unit="支"): + + custom_table_name = 'hk_' + code[3:] # 自定义表名 + datas = get_kdata_codes(custom_table_name) + float_share = get_floatshare_codes(custom_table_name) + + + filePath = 'data/kdata_val.csv' + \ No newline at end of file diff --git a/UpdateFutuData/get_kdata_from_database.py b/UpdateFutuData/get_kdata_from_database.py new file mode 100644 index 0000000..41c0b93 --- /dev/null +++ b/UpdateFutuData/get_kdata_from_database.py @@ -0,0 +1,276 @@ +import csv +import pandas as pd +from base.MySQLHelper import MySQLHelper +from typing import List, Dict, Optional +from datetime import datetime +from base.LogHelper import LogHelper +from tqdm import tqdm + +from futu import * +from base.MySQLHelper import MySQLHelper # MySQLHelper类保存为单独文件 +from base.LogHelper import LogHelper +from datetime import datetime +from typing import Optional, List, Dict +from ConditionalSelection import FutuStockFilter +from tqdm import tqdm +import pandas as pd +import time +import csv +import pandas as pd + +def get_monthly_avg_data(db_config: dict, table_name: str) -> Optional[List[Dict]]: + """ + 从数据库读取月度均值数据 + + Args: + db_config: 数据库配置 + table_name: 源数据表名 + + Returns: + List[Dict]: 查询结果数据集，失败返回None + """ + try: + with MySQLHelper(**db_config) as db: + # 获取表结构信息 + columns = db.execute_query(f""" + SELECT COLUMN_NAME + FROM INFORMATION_SCHEMA.COLUMNS + WHERE TABLE_SCHEMA = %s AND TABLE_NAME = %s + ORDER BY ORDINAL_POSITION + """, (db_config['database'], table_name)) + + if not columns: + logger.error(f"表 {table_name} 不存在或没有列") + return None + + # 获取列名列表(排除id和update_time) + field_names = [col['COLUMN_NAME'] for col in columns + if col['COLUMN_NAME'] not in ('id', 'update_time')] + + # 查询数据 + data = db.execute_query(f""" + SELECT {', '.join(field_names)} + FROM {table_name} + ORDER BY stock_code + """) + + if not data: + logger.error(f"表 {table_name} 中没有数据") + return None + + return data + + except Exception as e: + logger.error(f"从数据库读取月度均值数据失败: {str(e)}") + return None + +def get_float_share_data(db_config: dict, table_name: str) -> Optional[List[Dict]]: + """ + 从conditionalselection表读取流通股本数据 + + Args: + db_config: 数据库配置 + table_name: 源数据表名 + + Returns: + List[Dict]: 查询结果数据集，失败返回None + """ + try: + with MySQLHelper(**db_config) as db: + # 查询流通股本数据 + data = db.execute_query(f""" + SELECT stock_code, stock_name, float_share + FROM {table_name} + ORDER BY stock_code + """) + + if not data: + logger.error(f"表 {table_name} 中没有流通股本数据") + return None + + return data + + except Exception as e: + logger.error(f"从数据库读取流通股本数据失败: {str(e)}") + return None + +def export_to_csv(data: List[Dict], output_file: str) -> bool: + """ + 将合并后的数据导出到CSV文件 + + Args: + data: 要导出的数据集 + output_file: 输出的CSV文件路径 + + Returns: + bool: 是否导出成功 + """ + if not data: + return False + + try: + # 获取字段名(使用第一个数据的键) + field_names = list(data[0].keys()) + + # 字段名到中文的映射 + header_map = { + 'stock_code': '股票代码', + 'stock_name': '股票名称', + 'ym_2410': '2024年10月', + 'ym_2411': '2024年11月', + 'ym_2412': '2024年12月', + 'ym_2501': '2025年01月', + 'ym_2502': '2025年02月', + 'ym_2503': '2025年03月', + 'ym_2504': '2025年04月', + 'ym_2505': '2025年05月', + 'ym_2506': '2025年06月', + 'ym_2507': '2025年07月', + 'ym_2508': '2025年08月', + 'avg_all': '月度均值' + } + + with open(output_file, mode='w', newline='', encoding='utf-8-sig') as csvfile: + writer = csv.DictWriter(csvfile, fieldnames=field_names) + + # 写入中文表头 + writer.writerow({col: header_map.get(col, col) for col in field_names}) + + # 写入数据 + writer.writerows(data) + + logger.info(f"成功导出 {len(data)} 条记录到CSV文件: {output_file}") + return True + + except Exception as e: + logger.error(f"导出到CSV失败: {str(e)}") + return False + + +def export_data(db_config: dict, + monthly_table: str, + csv_file: str = None) -> bool: + """ + 导出合并后的数据到CSV和/或Excel + + Args: + db_config: 数据库配置 + monthly_table: 月度均价表名 + float_share_table: 流通股本表名 + csv_file: CSV输出路径(可选) + excel_file: Excel输出路径(可选) + + Returns: + bool: 是否至少有一种格式导出成功 + """ + + # 从数据库获取数据 + monthly_data = get_monthly_avg_data(db_config, monthly_table) + if not monthly_data: + logger.error("无法获取月度均价数据") + return False + + # 导出结果 + filePath = 'data/' + csv_file + csv_success = True + if csv_file: + csv_success = export_to_csv(monthly_data, filePath) + + return csv_success + +def get_stock_codes() -> List[str]: + """从conditionalselection表获取所有股票代码""" + try: + with MySQLHelper(**db_config) as db: + sql = f"SELECT DISTINCT stock_code FROM stock_filter" + results = db.execute_query(sql) + return [row['stock_code'] for row in results if row['stock_code']] + except Exception as e: + logger.error(f"获取股票代码失败: {str(e)}") + return [] + +def get_kdata_codes(tablename: str = "hk_00001") -> List[str]: + """从conditionalselection表获取所有股票代码""" + try: + with MySQLHelper(**db_config) as db: + sql = """ + SELECT (close_price * float_share) as avg_close + FROM {} + WHERE trade_date BETWEEN %s AND %s + AND close_price IS NOT NULL + AND float_share IS NOT NULL + """.format(tablename) + result = db.execute_query(sql, ('2025-08-01', '2025-08-31')) + + return result + except Exception as e: + logger.error(f"获取股票代码失败: {str(e)}") + return [] + +def export_to_csv(data: List[Dict], output_file: str, mode: str = 'a') -> bool: + """ + 将数据导出到CSV文件，支持追加模式 + + Args: + data: 要导出的数据集 + output_file: 输出的CSV文件路径 + mode: 写入模式，'w'为覆盖写入，'a'为追加写入 + + Returns: + bool: 是否导出成功 + """ + if not data: + logger.warning("没有数据可导出") + return False + + try: + # 获取字段名(使用第一个数据的键) + field_names = list(data[0].keys()) + + # 字段名到中文的映射 + header_map = { + 'stock_code': '股票代码', + 'stock_name': '股票名称', + 'circular_market_val': '流通市值' + } + + # 检查文件是否存在，决定是否需要写入表头 + file_exists = os.path.isfile(output_file) + + with open(output_file, mode=mode, newline='', encoding='utf-8-sig') as csvfile: + writer = csv.DictWriter(csvfile, fieldnames=field_names) + + # 如果是新文件或覆盖模式，写入表头 + if not file_exists or mode == 'w': + # 写入中文表头 + writer.writerow({col: header_map.get(col, col) for col in field_names}) + + # 写入数据 + writer.writerows(data) + + logger.info(f"成功{'追加' if mode == 'a' and file_exists else '写入'} {len(data)} 条记录到CSV文件: {output_file}") + return True + + except Exception as e: + logger.error(f"导出到CSV失败: {str(e)}") + return False + +if __name__ == "__main__": + # # 应用配置 + logger = LogHelper(logger_name = 'export').setup() + + # 数据库配置 + db_config = { + 'host': 'localhost', + 'user': 'root', + 'password': 'bzskmysql', + 'database': 'hk_kline_1d' + } + + market_data_all = get_stock_codes() + for code in tqdm(market_data_all, desc="读取股票数据", unit="支"): + custom_table_name = 'hk_' + code[3:] # 自定义表名 + datas = get_kdata_codes(custom_table_name) + if datas: + filePath = 'data/kdata_8.csv' + csv_success = export_to_csv(datas, filePath) diff --git a/UpdateFutuData/getmarketsnapshot.py b/UpdateFutuData/getmarketsnapshot.py new file mode 100644 index 0000000..41d76b4 --- /dev/null +++ b/UpdateFutuData/getmarketsnapshot.py @@ -0,0 +1,142 @@ +""" +获取市场快照 +""" +from futu import * +from base.MySQLHelper import MySQLHelper # MySQLHelper类保存为单独文件 +from base.LogHelper import LogHelper +from datetime import datetime +from typing import Optional, List, Dict +from ConditionalSelection import FutuStockFilter +from tqdm import tqdm +import pandas as pd +import time +import csv +import pandas as pd + +# 基本用法（自动创建日期日志+控制台输出） +logger = LogHelper(logger_name = 'snapshot').setup() + + +def read_single_account_stock_codes(file_path='data\missing_tables_小航富途.txt'): + """基础读取方法 - 按行读取所有内容""" + try: + with open(file_path, 'r', encoding='utf-8') as f: + lines = f.readlines() + # 去除每行末尾的换行符，并过滤空行 + codes = [line.strip() for line in lines if line.strip()] + return codes + except FileNotFoundError: + print(f"文件 {file_path} 不存在") + return [] + except Exception as e: + print(f"读取文件失败: {str(e)}") + return [] + + +def get_stock_codes() -> List[str]: + """从conditionalselection表获取所有股票代码""" + try: + with MySQLHelper(**db_config) as db: + sql = f"SELECT DISTINCT stock_code,stock_name FROM stock_filter" + results = db.execute_query(sql) + return [row['stock_code'] for row in results if row['stock_code'] and row['stock_name'][-1] != 'R'] + except Exception as e: + logger.error(f"获取股票代码失败: {str(e)}") + return [] + +def export_to_csv(data: List[Dict], output_file: str, mode: str = 'a') -> bool: + """ + 将数据导出到CSV文件，支持追加模式 + + Args: + data: 要导出的数据集 + output_file: 输出的CSV文件路径 + mode: 写入模式，'w'为覆盖写入，'a'为追加写入 + + Returns: + bool: 是否导出成功 + """ + if not data: + logger.warning("没有数据可导出") + return False + + try: + # 获取字段名(使用第一个数据的键) + field_names = list(data[0].keys()) + + # 字段名到中文的映射 + header_map = { + 'stock_code': '股票代码', + 'stock_name': '股票名称', + 'last_price': '最新价', + 'outstanding_shares': '流通股本', + 'circular_market_val': '流通市值' + } + + # 检查文件是否存在，决定是否需要写入表头 + file_exists = os.path.isfile(output_file) + + with open(output_file, mode=mode, newline='', encoding='utf-8-sig') as csvfile: + writer = csv.DictWriter(csvfile, fieldnames=field_names) + + # 如果是新文件或覆盖模式，写入表头 + if not file_exists or mode == 'w': + # 写入中文表头 + writer.writerow({col: header_map.get(col, col) for col in field_names}) + + # 写入数据 + writer.writerows(data) + + logger.info(f"成功{'追加' if mode == 'a' and file_exists else '写入'} {len(data)} 条记录到CSV文件: {output_file}") + return True + + except Exception as e: + logger.error(f"导出到CSV失败: {str(e)}") + return False + +if __name__ == "__main__": + # 数据库配置 + db_config = { + 'host': 'localhost', + 'user': 'root', + 'password': 'bzskmysql', + 'database': 'hk_kline_1d' + } + + # 每个账号获取的数据独立开来 -> 操作见面可以选择 + market_data_all = get_stock_codes() + # market_data_hang = read_single_account_stock_codes('config\hang_futu.txt') + # market_data_kevin= read_single_account_stock_codes('config\kevin_futu.txt') + # market_data_HK= read_single_account_stock_codes('config\HK_futu.txt') + # market_data_new = list(set(market_data_all) - set(market_data_hang) - set(market_data_kevin) - set(market_data_HK)) + + # 动态调整 + """*********************************************""" + market_data = market_data_all + + + # 使用tqdm创建进度条 + for code in tqdm(market_data, desc="下载股票数据", unit="支"): + quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) + + processed_data = [] + ret, data = quote_ctx.get_market_snapshot(code) + if ret == RET_OK: + for _, row in data.iterrows(): + item = { + 'stock_code': row['code'], + 'stock_name': row['name'], + 'last_price': row['last_price'], + 'outstanding_shares': row['outstanding_shares'], + 'circular_market_val': float(row['circular_market_val']) + } + processed_data.append(item) + else: + print('error:', data) + + if processed_data: + filePath = 'data/circular_market_val.csv' + csv_success = export_to_csv(processed_data, filePath) + + quote_ctx.close() # 结束后记得关闭当条连接，防止连接条数用尽 + time.sleep(0.7) \ No newline at end of file diff --git a/PyCode/updateExecl.py b/UpdateFutuData/updateExecl.py similarity index 100% rename from PyCode/updateExecl.py rename to UpdateFutuData/updateExecl.py diff --git a/PyCode/updatekline.py b/UpdateFutuData/updatekline.py similarity index 76% rename from PyCode/updatekline.py rename to UpdateFutuData/updatekline.py index 3ddab2d..8ec2f44 100644 --- a/PyCode/updatekline.py +++ b/UpdateFutuData/updatekline.py @@ -13,11 +13,11 @@ —— 更新完成需检查 ，数据是否完整 -> checktable.py 操作界面做好了之后，再融合到整体代码中 """ from futu import * -from MySQLHelper import MySQLHelper # MySQLHelper类保存为单独文件 -from LogHelper import LogHelper +from base.MySQLHelper import MySQLHelper # MySQLHelper类保存为单独文件 +from base.LogHelper import LogHelper from datetime import datetime from typing import Optional, List, Dict -from ConditionalSelection import FutuStockFilter +from UpdateFutuData.ConditionalSelection import FutuStockFilter from tqdm import tqdm import pandas as pd import time @@ -267,7 +267,7 @@ def get_stock_codes() -> List[str]: logger.error(f"获取股票代码失败: {str(e)}") return [] -def write_missing_codes_to_txt(missing_codes: list, filename: str = "config\HK_futu.txt"): +def write_missing_codes_to_txt(missing_codes: list, filename: str = "config\missing_codes.txt"): """将缺失的股票代码追加到TXT文件，如果文件不存在则创建""" try: # 确保目录存在 @@ -285,79 +285,10 @@ def write_missing_codes_to_txt(missing_codes: list, filename: str = "config\HK_f except Exception as e: logger.error(f"写入TXT文件失败: {str(e)}") -if __name__ == "__main__": - # 数据库配置 - db_config = { - 'host': 'localhost', - 'user': 'root', - 'password': 'bzskmysql', - 'database': 'hk_kline_1d' - } - - # 创建导入器并运行, 用于每日更新流通股数量 -> 操作界面中增加一个开关，每天只需要更新一次 - futuStockFilter = FutuStockFilter(db_config) - futuStockFilter.run_direct_import() - - # 每个账号获取的数据独立开来 -> 操作见面可以选择 - market_data_all = get_stock_codes() - market_data_hang = read_single_account_stock_codes('config\hang_futu.txt') - market_data_kevin= read_single_account_stock_codes('config\kevin_futu.txt') - market_data_HK= read_single_account_stock_codes('config\HK_futu.txt') - market_data_new = list(set(market_data_all) - set(market_data_hang) - set(market_data_kevin) - set(market_data_HK)) - - # write_missing_codes_to_txt(market_data_new) # 新股票添加到文件中 -> 暂时手动设置 - - # 动态调整 - """*********************************************""" - market_data = market_data_new - - # 每天收盘后更新数据 -> 操作界面中，这个参数需要放出来 - start_date = (datetime.now() - timedelta(days = 5)).strftime("%Y-%m-%d") - end_date = (datetime.now() + timedelta(days = 1)).strftime("%Y-%m-%d") - - # 获取流通股数据字典 - float_share_dict = get_float_share_data(db_config, 'stock_filter') # 假设数据在stock_filter表中 - - # 使用tqdm创建进度条 - for code in tqdm(market_data, desc="下载股票数据", unit="支"): - full_code = f"{code}" - - quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) - - # 从字典中获取流通股数量 - float_share = float_share_dict.get(code) if float_share_dict else None - - # 如果字典中没有找到，尝试从API获取 - if float_share is None: - float_share = get_float_share(quote_ctx, code) - if float_share is not None: - logger.info(f"从API获取股票 {code} 的流通股数量: {float_share}") - else: - logger.warning(f"无法获取股票 {code} 的流通股数量") - - # 获取历史K线数据 - ret, data, page_req_key = quote_ctx.request_history_kline(code, start=start_date, end=end_date, max_count=100) - - # 保存数据到自定义表 - custom_table_name = 'hk_' + code[3:] # 自定义表名 - - if ret == RET_OK: - success = save_quotes_to_db(db_config, data, table_name=custom_table_name, float_share=float_share) - else: - logger.error(f'error:{data}') - - isWhile = False # 只返回一页时增加请求延迟 - while page_req_key != None: # 请求后面的所有结果 - isWhile = True - ret, data, page_req_key = quote_ctx.request_history_kline(code, start=start_date, end=end_date, max_count=100, page_req_key=page_req_key) # 请求翻页后的数据 - if ret == RET_OK: - success = save_quotes_to_db(db_config, data, table_name=custom_table_name, float_share=float_share) - else: - logger.error(f'error:{ data}') - - time.sleep(0.7) - - if isWhile == False: - time.sleep(0.7) - - quote_ctx.close() # 结束后记得关闭当条连接，防止连接条数用尽 +# 数据库配置 +db_config = { + 'host': 'localhost', + 'user': 'root', + 'password': 'bzskmysql', + 'database': 'hk_kline_1d' +} diff --git a/base/Config.py b/base/Config.py new file mode 100644 index 0000000..e38723d --- /dev/null +++ b/base/Config.py @@ -0,0 +1,9 @@ +class ConfigInfo: + # 数据库配置 + db_hk_kline_1d = { + 'host': 'localhost', + 'user': 'root', + 'password': 'bzskmysql', + 'database': 'hk_kline_1d' + } + diff --git a/PyCode/LogHelper.py b/base/LogHelper.py similarity index 100% rename from PyCode/LogHelper.py rename to base/LogHelper.py diff --git a/PyCode/MySQLHelper.py b/base/MySQLHelper.py similarity index 97% rename from PyCode/MySQLHelper.py rename to base/MySQLHelper.py index 23d7288..d8f731d 100644 --- a/PyCode/MySQLHelper.py +++ b/base/MySQLHelper.py @@ -3,12 +3,13 @@ —— 增加事务管理 —— 增加ID获取 —— 增加表操作等使用功能 + —— 数据使用过程中出现异常时，才输出日志 """ import pymysql from pymysql import Error from typing import List, Dict, Union, Optional, Tuple from contextlib import contextmanager -from LogHelper import LogHelper +from base.LogHelper import LogHelper # 基本用法（自动创建日期日志+控制台输出） logger = LogHelper(logger_name = 'database').setup() @@ -58,7 +59,7 @@ class MySQLHelper: cursorclass=pymysql.cursors.DictCursor # 返回字典形式的结果 ) self.cursor = self.connection.cursor() - logger.info("MySQL数据库连接成功") + # logger.info("MySQL数据库连接成功") return True except Error as e: logger.error(f"连接MySQL数据库失败: {e}") @@ -72,7 +73,7 @@ class MySQLHelper: self.cursor.close() if self.connection: self.connection.close() - logger.info("MySQL数据库连接已关闭") + # logger.info("MySQL数据库连接已关闭") def execute_query(self, sql: str, params: Union[Tuple, List, Dict, None] = None) -> List[Dict]: """ diff --git a/base/__init__.py b/base/__init__.py new file mode 100644 index 0000000..a75bcb9 --- /dev/null +++ b/base/__init__.py @@ -0,0 +1,3 @@ +from .MySQLHelper import MySQLHelper +from .LogHelper import LogHelper +from .Config import ConfigInfo \ No newline at end of file diff --git a/config.py b/config.py new file mode 100644 index 0000000..907b084 --- /dev/null +++ b/config.py @@ -0,0 +1,10 @@ +# project/config.py +import sys +from pathlib import Path + +# 获取项目根目录 +PROJECT_ROOT = Path(__file__).parent + +# 添加项目根目录到 Python 路径 +if str(PROJECT_ROOT) not in sys.path: + sys.path.append(str(PROJECT_ROOT)) \ No newline at end of file diff --git a/config/Reservedcode.txt b/config/Reservedcode.txt new file mode 100644 index 0000000..b25c5ad --- /dev/null +++ b/config/Reservedcode.txt @@ -0,0 +1,3 @@ +HK.01304 +HK.01376 +HK.08657 \ No newline at end of file diff --git a/config/missing_codes.txt b/config/missing_codes.txt new file mode 100644 index 0000000..a67995e --- /dev/null +++ b/config/missing_codes.txt @@ -0,0 +1,12 @@ +HK.02461 +HK.02478 +HK.02572 +HK.02612 +HK.04332 +HK.04335 +HK.04336 +HK.04337 +HK.04338 +HK.04620 +HK.04621 +HK.04855 \ No newline at end of file diff --git a/data/hk_stocks_combined_data.csv b/data/hk_stocks_combined_data.csv deleted file mode 100644 index 80b6d2f..0000000 --- a/data/hk_stocks_combined_data.csv +++ /dev/null @@ -1,2571 +0,0 @@ -Ʊ Ʊ 202410¾̼ 202411¾̼ 202412¾̼ 20251¾̼ 20252¾̼ 20253¾̼ 20254¾̼ 20255¾̼ 20256¾̼ 20257¾̼ 20258¾̼ ͨɱ() 202410 202411 202412 20251 20252 20253 20254 20255 20256 20257 20258 ֵ -HK.00001 41.172 38.965 40.271 38.615 37.749 44.496 40.597 43.436 47.26 49.798 51.181 3830040000 1576.90 1492.38 1542.40 1478.97 1445.80 1704.21 1554.88 1663.62 1810.08 1907.28 1960.25 1648.80 -HK.00002 еع 64.537 63.594 62.885 62.513 62.565 63.13 63.652 66.075 66.193 66.593 66.773 2526450000 1630.50 1606.67 1588.76 1579.36 1580.67 1594.95 1608.14 1669.35 1672.33 1682.44 1686.99 1627.29 -HK.00003 лú 5.98 5.774 5.819 5.782 5.832 6.223 6.579 6.782 6.704 6.835 7.068 18659900000 1115.86 1077.42 1085.82 1078.92 1088.25 1161.21 1227.63 1265.51 1250.96 1275.40 1318.88 1176.90 -HK.00004 ּ 22.074 22.438 21.948 20.842 18.164 18.688 18.483 19.942 22.981 23.4 21.835 3056030000 674.59 685.71 670.74 636.94 555.10 571.11 564.85 609.43 702.31 715.11 667.28 641.20 -HK.00005 ع 64.786 67.503 70.955 73.593 81.328 87.451 80.779 90.462 93.181 97.764 98.049 17373500000 11255.60 11727.63 12327.37 12785.68 14129.52 15193.30 14034.14 15716.42 16188.80 16985.03 17034.54 14307.09 -HK.00006 ʵҵ 48.741 48.653 49.953 49.815 48.293 48.336 46.644 49.913 51.124 50.875 51.958 2131110000 1038.72 1036.85 1064.55 1061.61 1029.18 1030.09 994.03 1063.70 1089.51 1084.20 1107.28 1054.52 -HK.00008 Ѷӯ 4.058 4.015 4.098 4.272 4.274 4.368 4.636 5.072 5.227 5.608 5.403 7741060000 314.13 310.80 317.23 330.70 330.85 338.13 358.88 392.63 404.63 434.12 418.25 359.12 -HK.00010 ¡ 9.508 9.274 9.633 9.4 9.811 10.323 9.842 10.831 11.886 13.661 14.074 1361620000 129.46 126.28 131.16 127.99 133.59 140.56 134.01 147.48 161.84 186.01 191.63 146.37 -HK.00011 90.95 87.783 88.875 88.247 97.535 104.143 98.845 107.885 113.567 119.455 113.062 1882270000 1711.92 1652.31 1672.87 1661.05 1835.87 1960.25 1860.53 2030.69 2137.64 2248.47 2128.13 1899.98 -HK.00012 ز 24.564 23.826 23.025 20.987 20.038 21.286 19.92 22.66 25.99 27.277 27.884 4841390000 1189.24 1153.51 1114.73 1016.06 970.12 1030.54 964.40 1097.06 1258.28 1320.59 1349.97 1133.14 -HK.00013 ͻҽҩ 31.75 27.743 24.525 22.487 22.635 24.379 22.867 21.745 24.738 26.891 26.078 872112000 276.90 241.95 213.89 196.11 197.40 212.61 199.43 189.64 215.74 234.52 227.43 218.69 -HK.00014 ϣҵ 12.448 11.787 11.41 10.524 11.44 12.668 12.257 12.86 13.776 15.161 15.544 1027010000 127.84 121.05 117.18 108.08 117.49 130.10 125.88 132.07 141.48 155.70 159.64 130.59 -HK.00016 ºز 82.617 77.319 74.648 70.221 70.495 75.319 70.947 80.6 86.65 91.92 93.515 2897780000 2394.06 2240.53 2163.13 2034.85 2042.79 2182.58 2055.89 2335.61 2510.93 2663.64 2709.86 2303.08 -HK.00017 緢չ 8.478 7.357 5.906 4.439 4.345 5.39 4.623 4.741 5.101 5.819 6.626 2516630000 213.36 185.15 148.63 111.71 109.35 135.65 116.34 119.31 128.37 146.44 166.75 143.73 -HK.00018 ؼ 0.393 0.383 0.348 0.343 0.352 0.371 0.368 0.402 0.385 0.366 0.362 2397920000 9.42 9.18 8.34 8.22 8.44 8.90 8.82 9.64 9.23 8.78 8.68 8.88 -HK.00019 ̫Źɷݹ˾A 63.367 63.095 66.865 66.576 62.645 67.098 64.434 68.375 67.521 70.58 68.665 778988000 493.62 491.50 520.87 518.62 488.00 522.69 501.93 532.63 525.98 549.81 534.89 516.41 -HK.00020 -W 1.693 1.562 1.541 1.392 1.765 1.655 1.43 1.457 1.439 1.592 1.668 38674000000 654.75 604.09 595.97 538.34 682.60 640.05 553.04 563.48 556.52 615.69 645.08 604.51 -HK.00021 лع 0.149 0.123 0.139 0.122 0.149 0.114 0.115 0.124 0.129 0.131 0.128 3975230000 5.92 4.89 5.53 4.85 5.92 4.53 4.57 4.93 5.13 5.21 5.09 5.14 -HK.00022 ïʢع -0.184 -0.176 -0.172 -0.179 -0.119 -0.099 -0.062 0.157 0.223 0.174 0.158 1966390000 -3.62 -3.46 -3.38 -3.52 -2.34 -1.95 -1.22 3.09 4.39 3.42 3.11 -0.50 -HK.00023 9.707 9.271 9.426 9.452 10.025 11.816 10.687 11.147 11.557 12.289 12.576 2636520000 255.93 244.43 248.52 249.20 264.31 311.53 281.76 293.89 304.70 324.00 331.57 282.71 -HK.00025 ʿ 4.832 4.424 4.242 4.086 4.092 4.033 3.938 3.922 3.917 3.994 3.971 301268000 14.56 13.33 12.78 12.31 12.33 12.15 11.86 11.82 11.80 12.03 11.96 12.45 -HK.00026 л 45.024 44.267 43.513 44.713 48.665 53.762 50.347 53.62 53.34 56.339 59.454 45218900 20.36 20.02 19.68 20.22 22.01 24.31 22.77 24.25 24.12 25.48 26.88 22.73 -HK.00027 35.924 33.452 34.383 31.858 29.528 31.683 27.329 31.363 33.631 37.807 39.778 4374890000 1571.64 1463.49 1504.22 1393.75 1291.82 1386.10 1195.61 1372.10 1471.32 1654.01 1740.24 1458.57 -HK.00028 찲 3.945 3.738 3.824 4.283 4.547 4.406 4.176 4.318 4.298 4.526 4.841 1466070000 57.84 54.80 56.06 62.79 66.66 64.60 61.22 63.30 63.01 66.35 70.97 62.51 -HK.00029 7.798 7.582 8.808 10.15 11.331 11.67 12.353 13.964 13.281 13.202 13.113 237704000 18.54 18.02 20.94 24.13 26.93 27.74 29.36 33.19 31.57 31.38 31.17 26.63 -HK.00030 ư׹ 0.095 0.176 0.176 0.17 0.159 0.13 0.129 0.189 0.213 0.265 0.273 7599910000 7.22 13.38 13.38 12.92 12.08 9.88 9.80 14.36 16.19 20.14 20.75 13.65 -HK.00031 ع 0.428 0.399 0.371 0.351 0.415 0.425 0.376 0.409 0.408 0.488 0.517 3085020000 13.20 12.31 11.45 10.83 12.80 13.11 11.60 12.62 12.59 15.05 15.95 12.86 -HK.00032 ͨع 6.452 6.453 6.494 6.398 6.448 7.469 8.264 8.099 8.093 8.038 8.286 372688000 24.05 24.05 24.20 23.84 24.03 27.84 30.80 30.18 30.16 29.96 30.88 27.27 -HK.00033 INTL GENIUS 3.909 3.369 2.664 2.476 3.172 3.077 2.149 1.166 0.875 0.722 0.639 558245000 21.82 18.81 14.87 13.82 17.71 17.18 12.00 6.51 4.88 4.03 3.57 12.29 -HK.00034 ҵ 3.741 3.663 3.702 3.694 3.659 3.433 2.929 2.885 2.946 3.015 3.336 1306210000 48.87 47.85 48.36 48.25 47.79 44.84 38.26 37.68 38.48 39.38 43.58 43.94 -HK.00035 Զչ 1.17 1.102 0.925 0.9 0.846 0.803 0.797 0.922 0.918 0.794 0.802 3059040000 35.79 33.71 28.30 27.53 25.88 24.56 24.38 28.20 28.08 24.29 24.53 27.75 -HK.00036 Զعɹ 0.405 0.366 0.346 0.336 0.409 0.563 0.511 0.445 0.437 0.415 0.279 326736000 1.32 1.20 1.13 1.10 1.34 1.84 1.67 1.45 1.43 1.36 0.91 1.34 -HK.00037 ԶƵʵҵ 0.577 0.535 0.524 0.497 0.471 0.436 0.431 0.512 0.5 0.485 0.473 752530000 4.34 4.03 3.94 3.74 3.54 3.28 3.24 3.85 3.76 3.65 3.56 3.72 -HK.00038 һɷ 7.755 6.583 7.112 6.733 6.507 6.484 5.601 6.18 6.867 7.195 7.205 391940000 30.39 25.80 27.87 26.39 25.50 25.41 21.95 24.22 26.91 28.20 28.24 26.45 -HK.00039 й 0.065 0.062 0.062 0.063 0.07 0.089 0.112 0.119 0.113 0.097 0.095 8037570000 5.22 4.98 4.98 5.06 5.63 7.15 9.00 9.56 9.08 7.80 7.64 6.92 -HK.00040 ɽƼҵ 0.48 0.484 0.498 0.519 0.545 0.595 0.533 0.55 0.597 0.647 0.655 902488000 4.33 4.37 4.49 4.68 4.92 5.37 4.81 4.96 5.39 5.84 5.91 5.01 -HK.00041 ӥ 11.287 10.629 10.531 10.108 10.434 12.47 12.256 12.898 13.64 14.705 14.591 747723000 84.40 79.48 78.74 75.58 78.02 93.24 91.64 96.44 101.99 109.95 109.10 90.78 -HK.00042 0.269 0.302 0.293 0.268 0.268 0.272 0.254 0.246 0.246 0.278 0.3 257950000 0.69 0.78 0.76 0.69 0.69 0.70 0.66 0.63 0.63 0.72 0.77 0.70 -HK.00045 Ƶ 5.667 5.754 6.241 6.045 5.945 5.941 5.379 5.456 5.434 5.757 5.865 1666940000 94.47 95.92 104.03 100.77 99.10 99.03 89.66 90.95 90.58 95.97 97.77 96.20 -HK.00046 ϵͳ 1.876 1.68 1.554 1.406 1.594 1.682 1.46 1.436 1.477 1.566 1.651 244334000 4.58 4.10 3.80 3.44 3.89 4.11 3.57 3.51 3.61 3.83 4.03 3.86 -HK.00048 й 0.29 0.193 0.165 0.152 0.148 0.166 0.149 0.218 0.265 0.19 0.18 175115000 0.51 0.34 0.29 0.27 0.26 0.29 0.26 0.38 0.46 0.33 0.32 0.34 -HK.00050 С() 4.228 4.17 4.117 4.018 4 4.089 3.995 4.173 4.402 4.729 4.895 356274000 15.06 14.86 14.67 14.32 14.25 14.57 14.23 14.87 15.68 16.85 17.44 15.16 -HK.00051 ҵ 5.317 5.167 5.01 4.774 4.67 4.953 4.043 3.984 3.958 4.361 4.48 708750000 37.68 36.62 35.51 33.84 33.10 35.10 28.65 28.24 28.05 30.91 31.75 32.68 -HK.00052  7.248 6.691 6.336 5.934 5.798 5.742 5.214 5.089 5.16 5.528 5.535 129553000 9.39 8.67 8.21 7.69 7.51 7.44 6.75 6.59 6.68 7.16 7.17 7.57 -HK.00053 Ƽ 70.929 70.055 69.048 69.016 68.273 68.069 62.674 63.93 66.381 71.743 73.931 329051000 233.39 230.52 227.20 227.10 224.65 223.98 206.23 210.36 218.43 236.07 243.27 225.56 -HK.00055 Ǽſع 0.208 0.186 0.172 0.191 0.18 0.178 0.163 0.178 0.203 0.204 0.207 253359000 0.53 0.47 0.44 0.48 0.46 0.45 0.41 0.45 0.51 0.52 0.52 0.48 -HK.00057 ۼ 1.416 1.364 1.407 1.383 1.353 1.445 1.361 1.393 1.455 1.634 1.672 630532000 8.93 8.60 8.87 8.72 8.53 9.11 8.58 8.78 9.17 10.30 10.54 9.10 -HK.00058 0.482 0.636 0.41 0.358 0.304 0.244 0.171 0.162 0.155 0.145 0.147 215520000 1.04 1.37 0.88 0.77 0.66 0.53 0.37 0.35 0.33 0.31 0.32 0.63 -HK.00060 ʳƷͶ 0.46 0.46 0.479 0.476 0.458 0.451 0.452 0.445 0.423 0.469 0.462 257424000 1.18 1.18 1.23 1.23 1.18 1.16 1.16 1.15 1.09 1.21 1.19 1.18 -HK.00061 ع 0.085 0.079 0.065 0.061 0.061 0.072 0.067 0.077 0.084 0.087 0.101 526260000 0.45 0.42 0.34 0.32 0.32 0.38 0.35 0.41 0.44 0.46 0.53 0.40 -HK.00062 ͨ 8.009 7.774 7.747 7.684 7.652 8.01 8.086 8.733 8.896 8.937 9.023 525918000 42.12 40.88 40.74 40.41 40.24 42.13 42.53 45.93 46.79 47.00 47.45 43.29 -HK.00063 ϩȼ 0.092 0.078 0.072 0.065 0.06 0.058 0.058 0.059 0.058 0.061 0.061 6352700000 5.84 4.96 4.57 4.13 3.81 3.68 3.68 3.75 3.68 3.88 3.88 4.17 -HK.00064 ÿع 0.155 0.135 0.126 0.126 0.125 0.131 0.126 0.141 0.144 0.154 0.151 12363900000 19.16 16.69 15.58 15.58 15.45 16.20 15.58 17.43 17.80 19.04 18.67 17.02 -HK.00065 뺣Դ 0.977 0.467 0.349 0.331 0.448 0.464 0.408 0.533 204617000 2.00 0.96 0.71 0.68 0.92 0.95 0.00 0.00 0.00 0.83 1.09 0.74 -HK.00066 ˾ 28.248 26.805 26.5 23.863 24.055 25.391 24.776 26.737 27.695 28.007 27.972 6224820000 1758.39 1668.56 1649.58 1485.43 1497.38 1580.54 1542.26 1664.33 1723.96 1743.39 1741.21 1641.37 -HK.00069 () 5.647 5.233 5.303 5.077 4.86 4.52 4.164 4.35 4.275 4.62 4.596 3585520000 202.47 187.63 190.14 182.04 174.26 162.07 149.30 155.97 153.28 165.65 164.79 171.60 -HK.00070 ع 0.06 0.054 0.049 0.049 0.055 0.051 0.047 0.047 0.045 0.054 0.066 1938820000 1.16 1.05 0.95 0.95 1.07 0.99 0.91 0.91 0.87 1.05 1.28 1.02 -HK.00071 Ƶ 9.136 8.946 8.839 8.664 8.445 8.623 8.546 9.432 9.524 9.787 9.915 690960000 63.13 61.81 61.07 59.86 58.35 59.58 59.05 65.17 65.81 67.62 68.51 62.72 -HK.00072 ýع 0.248 0.229 0.225 0.202 0.21 0.2 0.195 0.219 0.242 0.301 0.286 438353000 1.09 1.00 0.99 0.89 0.92 0.88 0.85 0.96 1.06 1.32 1.25 1.02 -HK.00073 ޹ҵ 2.938 2.853 2.559 2.455 2.41 2.128 1.753 1.661 1.495 1.893 2.143 14900500 0.44 0.43 0.38 0.37 0.36 0.32 0.26 0.25 0.22 0.28 0.32 0.33 -HK.00075 ̫ز 0.296 0.258 0.239 0.226 0.221 0.217 0.169 0.141 0.163 0.162 0.174 799557000 2.37 2.06 1.91 1.81 1.77 1.74 1.35 1.13 1.30 1.30 1.39 1.65 -HK.00076 ع 0.42 0.394 0.376 0.354 0.38 0.319 0.258 0.241 0.307 0.262 0.276 432844000 1.82 1.71 1.63 1.53 1.64 1.38 1.12 1.04 1.33 1.13 1.19 1.41 -HK.00077 ǹͨ 0.548 0.51 0.492 0.498 0.5 0.486 0.445 0.415 0.402 0.427 0.458 271913000 1.49 1.39 1.34 1.35 1.36 1.32 1.21 1.13 1.09 1.16 1.25 1.28 -HK.00078 Ƶ 2.592 2.505 2.355 2.398 2.182 1.816 0.739 0.519 0.633 0.608 0.546 898782000 23.30 22.51 21.17 21.55 19.61 16.32 6.64 4.66 5.69 5.46 4.91 13.80 -HK.00079 ͽҵ 0.125 0.12 0.109 0.124 0.126 0.122 0.116 0.125 0.126 0.126 0.117 326077000 0.41 0.39 0.36 0.40 0.41 0.40 0.38 0.41 0.41 0.41 0.38 0.40 -HK.00080 й¾Ͷ 0.083 0.087 0.114 0.081 0.08 0.077 0.07 0.069 0.067 0.326 0.38 1319700000 1.10 1.15 1.50 1.07 1.06 1.02 0.92 0.91 0.88 4.30 5.01 1.72 -HK.00081 й 2.2 1.897 1.718 1.627 1.733 1.928 1.682 1.658 1.68 1.937 2.099 3559370000 78.31 67.52 61.15 57.91 61.68 68.62 59.87 59.01 59.80 68.94 74.71 65.23 -HK.00082 0.137 0.112 0.108 0.103 0.106 0.093 0.082 0.085 0.089 0.089 0.091 4526140000 6.20 5.07 4.89 4.66 4.80 4.21 3.71 3.85 4.03 4.03 4.12 4.51 -HK.00083 źҵ 7.896 7.643 7.704 7.469 7.546 7.844 7.702 8.065 8.222 8.807 9.411 9150100000 722.49 699.34 704.92 683.42 690.47 717.73 704.74 737.96 752.32 805.85 861.12 734.58 -HK.00084 ʵҵ 0.087 0.077 0.078 0.076 0.078 0.075 0.073 0.079 0.072 0.072 0.07 1036920000 0.90 0.80 0.81 0.79 0.81 0.78 0.76 0.82 0.75 0.75 0.73 0.79 -HK.00085 е绪Ƽ 1.343 1.243 1.176 1.146 1.306 1.373 1.293 1.319 1.386 1.382 1.693 2029870000 27.26 25.23 23.87 23.26 26.51 27.87 26.25 26.77 28.13 28.05 34.37 27.05 -HK.00086 º˾ 2.7 2.58 2.562 2.584 2.644 2.79 2.796 3.034 3.131 3.531 3.94 1964960000 53.05 50.70 50.34 50.77 51.95 54.82 54.94 59.62 61.52 69.38 77.42 57.68 -HK.00087 ̫Źɷݹ˾B 10.007 9.984 10.491 10.495 10.279 10.507 10.18 10.643 10.882 12.177 12.095 2848930000 285.09 284.44 298.88 299.00 292.84 299.34 290.02 303.21 310.02 346.91 344.58 304.94 -HK.00088 2.977 2.872 2.884 2.912 2.927 3.007 2.953 3.068 3.182 3.355 3.373 617531000 18.38 17.74 17.81 17.98 18.08 18.57 18.24 18.95 19.65 20.72 20.83 18.81 -HK.00089 ز 2.069 1.867 1.755 1.665 1.658 1.677 1.599 1.691 1.786 1.953 2.072 287670000 5.95 5.37 5.05 4.79 4.77 4.82 4.60 4.86 5.14 5.62 5.96 5.18 -HK.00090 0.344 0.514 0.601 0.588 0.598 0.547 0.521 0.584 0.597 1.596 1.962 458600000 1.58 2.36 2.76 2.70 2.74 2.51 2.39 2.68 2.74 7.32 9.00 3.52 -HK.00092 ھƼ 0.212 0.256 0.294 0.265 0.235 0.203 0.204 0.21 0.198 0.194 0.206 984707000 2.09 2.52 2.90 2.61 2.31 2.00 2.01 2.07 1.95 1.91 2.03 2.22 -HK.00093 ڿƼ 0.594 0.595 0.606 0.627 0.613 0.61 0.585 0.589 0.598 0.587 0.559 2667640000 15.85 15.87 16.17 16.73 16.35 16.27 15.61 15.71 15.95 15.66 14.91 15.92 -HK.00094 ļ 0.056 0.049 0.049 0.045 0.051 0.042 0.039 0.037 0.046 0.051 0.053 2782490000 1.56 1.36 1.36 1.25 1.42 1.17 1.09 1.03 1.28 1.42 1.47 1.31 -HK.00095 ̾йز 0.761 0.663 0.513 0.353 0.374 0.357 0.252 0.241 0.22 0.264 0.293 6057490000 46.10 40.16 31.07 21.38 22.66 21.63 15.26 14.60 13.33 15.99 17.75 23.63 -HK.00096 ѳɿع 0.579 0.527 0.518 0.498 0.569 0.577 0.549 0.536 0.539 0.567 0.634 636550000 3.69 3.35 3.30 3.17 3.62 3.67 3.49 3.41 3.43 3.61 4.04 3.53 -HK.00097 չ 0.123 0.116 0.108 0.103 0.101 0.115 0.117 0.128 0.137 0.139 0.139 3047330000 3.75 3.53 3.29 3.14 3.08 3.50 3.57 3.90 4.17 4.24 4.24 3.67 -HK.00098 ˷ҵ 7.001 6.571 6.352 6.284 6.392 7.087 7.212 7.195 7.857 8.334 8.599 420649000 29.45 27.64 26.72 26.43 26.89 29.81 30.34 30.27 33.05 35.06 36.17 30.17 -HK.00099 Ϲ 1.4 1.148 1.07 1.177 1.249 1.187 1.107 1.135 1.232 1.273 1.332 478484000 6.70 5.49 5.12 5.63 5.98 5.68 5.30 5.43 5.89 6.09 6.37 5.79 -HK.00101 ¡ز 6.459 5.96 5.865 5.573 5.793 6.164 5.691 6.059 6.661 7.451 7.979 5002010000 323.08 298.12 293.37 278.76 289.77 308.32 284.66 303.07 333.18 372.70 399.11 316.74 -HK.00103 ׼ѿƼ 0.342 0.356 0.398 0.418 0.407 0.441 0.423 0.398 0.426 0.55 0.559 2654530000 9.08 9.45 10.57 11.10 10.80 11.71 11.23 10.57 11.31 14.60 14.84 11.39 -HK.00104 ҵ 0.196 0.201 0.228 0.234 0.239 0.236 0.213 0.231 0.23 0.248 0.257 747123000 1.46 1.50 1.70 1.75 1.79 1.76 1.59 1.73 1.72 1.85 1.92 1.71 -HK.00105 ʾƵ 5.363 5.233 5.044 4.994 4.928 5.002 4.993 5.111 5.16 5.202 5.235 360000000 19.31 18.84 18.16 17.98 17.74 18.01 17.97 18.40 18.58 18.73 18.85 18.41 -HK.00106 ʫɫ 0.032 0.023 0.014 0.012 0.011 0.012 0.014 0.014 0.015 0.019 0.024 4722310000 1.51 1.09 0.66 0.57 0.52 0.57 0.66 0.66 0.71 0.90 1.13 0.82 -HK.00107 Ĵٹ· 2.961 2.815 3.009 3.025 3.014 3.126 3.766 4.211 4.793 4.946 4.866 895320000 26.51 25.20 26.94 27.08 26.98 27.99 33.72 37.70 42.91 44.28 43.57 32.99 -HK.00108 0.513 0.699 0.706 0.766 0.732 0.681 0.625 0.656 0.681 0.844 1.215 3219370000 16.52 22.50 22.73 24.66 23.57 21.92 20.12 21.12 21.92 27.17 39.12 23.76 -HK.00110 йԶ 0.222 0.198 0.19 0.198 0.192 0.185 0.143 0.168 0.158 0.162 0.178 253556000 0.56 0.50 0.48 0.50 0.49 0.47 0.36 0.43 0.40 0.41 0.45 0.46 -HK.00111 Ŵʿع 0.368 0.284 0.259 0.249 0.258 0.293 0.267 0.293 0.339 0.535 0.556 641206000 2.36 1.82 1.66 1.60 1.65 1.88 1.71 1.88 2.17 3.43 3.57 2.16 -HK.00113 4.829 4.573 4.834 4.924 4.899 4.871 4.878 6.864 6.87 6.294 5.24 386059000 18.64 17.65 18.66 19.01 18.91 18.80 18.83 26.50 26.52 24.30 20.23 20.73 -HK.00114 0.415 0.44 0.448 0.469 0.488 0.495 0.478 0.487 0.504 0.555 0.58 604491000 2.51 2.66 2.71 2.84 2.95 2.99 2.89 2.94 3.05 3.35 3.51 2.94 -HK.00115 婼 6.464 6.1 6.1 4.701 4.261 4.25 4.226 3.8 3.755 2.613 2.808 12247800 0.79 0.75 0.75 0.58 0.52 0.52 0.52 0.47 0.46 0.32 0.34 0.55 -HK.00116 6.26 6.115 6.122 6.135 6.235 6.64 6.775 7.324 8.415 8.501 8.699 671712000 42.05 41.08 41.12 41.21 41.88 44.60 45.51 49.20 56.52 57.10 58.43 47.15 -HK.00117 عɼ 0.236 0.214 0.2 0.185 0.17 0.158 0.188 0.242 0.364 0.601 0.585 744750000 1.76 1.59 1.49 1.38 1.27 1.18 1.40 1.80 2.71 4.48 4.36 2.13 -HK.00118 ͬе 0.208 0.187 0.178 0.179 0.167 0.177 0.2 0.196 0.187 0.206 0.251 861931000 1.79 1.61 1.53 1.54 1.44 1.53 1.72 1.69 1.61 1.78 2.16 1.67 -HK.00119 ҵ 1.735 1.648 1.578 1.451 1.475 1.533 1.417 1.442 1.433 1.585 1.603 3821180000 66.30 62.97 60.30 55.45 56.36 58.58 54.15 55.10 54.76 60.57 61.25 58.71 -HK.00120 ĺ 0.257 0.189 0.149 0.124 0.13 0.106 0.111 0.118 0.118 0.127 0.122 1339620000 3.44 2.53 2.00 1.66 1.74 1.42 1.49 1.58 1.58 1.70 1.63 1.89 -HK.00122 1.773 2.127 2.016 2.016 2.046 2.059 2.045 1.991 2 2.008 1.996 71065800 1.26 1.51 1.43 1.43 1.45 1.46 1.45 1.41 1.42 1.43 1.42 1.43 -HK.00123 Խز 6.433 6.074 5.445 4.873 4.96 5.445 4.818 4.561 4.34 4.691 4.803 4025390000 258.95 244.50 219.18 196.16 199.66 219.18 193.94 183.60 174.70 188.83 193.34 206.55 -HK.00124 õ 0.437 0.428 0.361 0.259 0.192 0.248 0.231 0.219 0.211 0.244 0.273 1711540000 7.48 7.33 6.18 4.43 3.29 4.24 3.95 3.75 3.61 4.18 4.67 4.83 -HK.00125 ˹ѧ 0.514 0.453 0.413 0.428 0.382 0.39 0.359 0.351 0.364 0.37 0.382 262778000 1.35 1.19 1.09 1.12 1.00 1.02 0.94 0.92 0.96 0.97 1.00 1.05 -HK.00126 0.214 0.196 0.183 0.166 0.16 0.159 0.144 0.126 0.123 0.121 0.12 1571360000 3.36 3.08 2.88 2.61 2.51 2.50 2.26 1.98 1.93 1.90 1.89 2.45 -HK.00127 ҵ 1.264 1.231 1.191 1.13 1.139 1.209 1.122 1.358 1.322 1.331 1.328 1907620000 24.11 23.48 22.72 21.56 21.73 23.06 21.40 25.91 25.22 25.39 25.33 23.63 -HK.00128 ع 0.295 0.284 0.267 0.264 0.266 0.266 0.252 0.254 0.253 0.273 0.269 1650660000 4.87 4.69 4.41 4.36 4.39 4.39 4.16 4.19 4.18 4.51 4.44 4.42 -HK.00129 0.447 0.377 0.362 0.353 0.349 0.341 0.318 0.313 0.312 0.316 0.316 1420640000 6.35 5.36 5.14 5.01 4.96 4.84 4.52 4.45 4.43 4.49 4.49 4.91 -HK.00130 Ľʫ 0.139 0.138 0.13 0.125 0.132 0.152 0.15 0.141 0.134 0.123 0.129 287930000 0.40 0.40 0.37 0.36 0.38 0.44 0.43 0.41 0.39 0.35 0.37 0.39 -HK.00131 ׿() 1.717 1.653 1.6 1.622 1.602 1.616 1.522 1.453 1.475 1.492 1.471 652677000 11.21 10.79 10.44 10.59 10.46 10.55 9.93 9.48 9.63 9.74 9.60 10.22 -HK.00132 ҵع 0.365 0.352 0.345 0.291 0.266 0.282 0.305 0.282 0.26 0.268 0.272 1712330000 6.25 6.03 5.91 4.98 4.55 4.83 5.22 4.83 4.45 4.59 4.66 5.12 -HK.00133 ̾й 14.482 14.005 14.344 13.179 14.191 15.159 12.854 13.248 14.336 15.792 15.653 152333000 22.06 21.33 21.85 20.08 21.62 23.09 19.58 20.18 21.84 24.06 23.84 21.78 -HK.00135 Դ 7.688 7.486 7.823 7.46 7.419 7.705 7.402 7.744 7.838 7.783 7.657 8658800000 665.69 648.20 677.38 645.95 642.40 667.16 640.92 670.54 678.68 673.91 663.00 661.26 -HK.00136 й 2.004 2 2.361 2.424 2.409 2.483 2.147 2.052 2.241 3.115 2.949 16400600000 328.67 328.01 387.22 397.55 395.09 407.23 352.12 336.54 367.54 510.88 483.65 390.41 -HK.00137 Լ 0.77 0.727 0.671 0.662 0.708 0.693 0.621 0.633 0.66 0.734 0.697 530290000 4.08 3.86 3.56 3.51 3.75 3.67 3.29 3.36 3.50 3.89 3.70 3.65 -HK.00138 нͨ 0.098 0.091 0.099 0.085 0.084 0.078 0.099 0.083 0.071 0.078 0.085 1599680000 1.57 1.46 1.58 1.36 1.34 1.25 1.58 1.33 1.14 1.25 1.36 1.38 -HK.00139 Сӯͨ 0.016 0.017 0.016 0.015 0.014 0.021 0.036 0.032 0.023 0.017 0.021 20475600000 3.28 3.48 3.28 3.07 2.87 4.30 7.37 6.55 4.71 3.48 4.30 4.24 -HK.00142 һ̫ƽ 4.218 4.336 4.491 4.199 4.255 4.762 4.692 5.373 5.522 5.975 6.391 4260210000 179.70 184.72 191.33 178.89 181.27 202.87 199.89 228.90 235.25 254.55 272.27 209.97 -HK.00144 ָ̾ۿ 12.719 12.077 12.381 12.446 12.254 12.366 11.837 13.302 14.555 15.075 15.775 4198010000 533.94 506.99 519.76 522.48 514.42 519.13 496.92 558.42 611.02 632.85 662.24 552.56 -HK.00145 ̼ܵ 0.149 0.164 0.195 0.159 0.142 0.151 0.188 0.204 0.19 0.178 0.205 244135000 0.36 0.40 0.48 0.39 0.35 0.37 0.46 0.50 0.46 0.43 0.50 0.43 -HK.00146 ̫ƽձ 1.148 1.118 1.199 1.229 1.257 1.219 1.175 1.275 1.424 1.441 1.471 212187000 2.44 2.37 2.54 2.61 2.67 2.59 2.49 2.71 3.02 3.06 3.12 2.69 -HK.00147 ҵ 0.106 0.089 0.08 0.087 0.081 0.068 0.057 0.052 0.052 0.123 0.231 20319100000 21.54 18.08 16.26 17.68 16.46 13.82 11.58 10.57 10.57 24.99 46.94 18.95 -HK.00148 ϼ 18.289 17.537 17.517 18.479 20.251 21.605 19.457 21.26 23.543 25.97 29.097 1108310000 202.70 194.36 194.14 204.80 224.44 239.45 215.64 235.63 260.93 287.83 322.48 234.77 -HK.00149 йũƷ 0.041 0.039 0.036 0.036 0.036 0.035 0.043 0.043 0.04 0.043 0.06 9953070000 4.08 3.88 3.58 3.58 3.58 3.48 4.28 4.28 3.98 4.28 5.97 4.09 -HK.00150 HYPEBEAST 0.217 0.209 0.213 0.214 0.191 0.171 0.158 0.17 0.157 0.154 0.157 2047750000 4.44 4.28 4.36 4.38 3.91 3.50 3.24 3.48 3.21 3.15 3.21 3.74 -HK.00151 й 5.163 4.767 4.483 4.554 4.644 4.951 4.934 5.167 5.279 5.58 5.715 11803100000 609.39 562.65 529.13 537.51 548.14 584.37 582.36 609.87 623.09 658.61 674.55 592.70 -HK.00152 ڹ 6.23 5.951 6.208 6.595 6.443 7.009 7.169 7.189 7.49 7.972 8.012 2443740000 152.25 145.43 151.71 161.16 157.45 171.28 175.19 175.68 183.04 194.81 195.79 169.44 -HK.00154 عɻ 0.418 0.456 0.443 0.426 0.414 0.409 0.393 0.418 0.501 0.652 0.627 1500360000 6.27 6.84 6.65 6.39 6.21 6.14 5.90 6.27 7.52 9.78 9.41 7.03 -HK.00156 0.828 0.714 0.694 0.737 0.806 0.927 0.802 0.783 0.721 0.72 0.712 918691000 7.61 6.56 6.38 6.77 7.40 8.52 7.37 7.19 6.62 6.61 6.54 7.05 -HK.00157 Ȼ 0.49 0.489 0.486 0.482 0.495 0.479 0.476 0.487 0.527 0.546 0.553 2002100000 9.81 9.79 9.73 9.65 9.91 9.59 9.53 9.75 10.55 10.93 11.07 10.03 -HK.00158 Ͷ 58.533 59.571 58.255 57.074 56.438 57.931 55.903 57.555 60.588 61.666 61.967 25000000 14.63 14.89 14.56 14.27 14.11 14.48 13.98 14.39 15.15 15.42 15.49 14.67 -HK.00159 ҵ 0.103 0.103 0.099 0.092 0.09 0.092 0.087 0.098 0.093 0.103 0.149 9280230000 9.56 9.56 9.19 8.54 8.35 8.54 8.07 9.09 8.63 9.56 13.83 9.36 -HK.00160 ҵ 1.293 1.26 1.125 1.041 1.017 1.066 1.071 1.034 1.024 1.053 1.055 720429000 9.32 9.08 8.10 7.50 7.33 7.68 7.72 7.45 7.38 7.59 7.60 7.88 -HK.00162 ͽ 0.071 0.075 0.083 0.078 0.073 0.064 0.054 0.058 0.054 0.05 0.056 1149690000 0.82 0.86 0.95 0.90 0.84 0.74 0.62 0.67 0.62 0.57 0.64 0.75 -HK.00163 Ӣʹ 0.29 0.239 0.212 0.205 0.203 0.21 0.199 0.213 0.24 0.201 0.188 5516320000 16.00 13.18 11.69 11.31 11.20 11.58 10.98 11.75 13.24 11.09 10.37 12.04 -HK.00164 йƼ 0.412 0.411 0.405 0.398 0.397 0.4 0.411 0.393 0.383 0.4 0.42 291053000 1.20 1.20 1.18 1.16 1.16 1.16 1.20 1.14 1.11 1.16 1.22 1.17 -HK.00165 йع 5.363 5.305 5.373 4.797 5.124 5.03 4.056 4.369 5.928 8.134 8.97 1685250000 90.38 89.40 90.55 80.84 86.35 84.77 68.35 73.63 99.90 137.08 151.17 95.67 -HK.00166 ʱſع 0.061 0.054 0.051 0.047 0.046 0.053 0.047 0.045 0.05 0.048 0.051 8741780000 5.33 4.72 4.46 4.11 4.02 4.63 4.11 3.93 4.37 4.20 4.46 4.39 -HK.00167 1.593 1.53 1.481 1.059 1.696 2.214 1.832 1.889 1.558 1.304 433332000 0.00 6.90 6.63 6.42 4.59 7.35 9.59 7.94 8.19 6.75 5.65 6.36 -HK.00168 ൺơƹɷ 54.215 47.78 50.508 49.644 48.048 52.201 55.681 53.349 52.145 51.823 50.062 655069000 355.15 312.99 330.86 325.20 314.75 341.95 364.75 349.47 341.59 339.48 327.94 336.74 -HK.00169 Ƶ귢չ 0.285 0.246 0.234 0.272 0.381 0.411 0.496 0.502 0.62 0.691 0.625 4697350000 13.39 11.56 10.99 12.78 17.90 19.31 23.30 23.58 29.12 32.46 29.36 20.34 -HK.00171 0.138 0.111 0.096 0.086 0.089 0.083 0.077 0.08 0.078 0.102 0.105 2304850000 3.18 2.56 2.21 1.98 2.05 1.91 1.77 1.84 1.80 2.35 2.42 2.19 -HK.00173 λ 1.816 1.741 1.721 1.663 1.723 1.87 1.655 1.741 1.827 2.123 2.363 3152730000 57.25 54.89 54.26 52.43 54.32 58.96 52.18 54.89 57.60 66.93 74.50 58.02 -HK.00174 ʢͶ 0.262 0.226 0.207 0.202 0.203 0.2 0.185 0.202 0.235 0.211 0.203 635570000 1.67 1.44 1.32 1.28 1.29 1.27 1.18 1.28 1.49 1.34 1.29 1.35 -HK.00175 12.93 13.512 14.795 13.792 16.757 17.064 15.435 18.237 16.749 17.977 18.816 10084700000 1303.95 1362.64 1492.03 1390.88 1689.89 1720.85 1556.57 1839.15 1689.09 1812.93 1897.54 1614.14 -HK.00177 ٹ· 7.548 7.306 7.662 7.827 7.932 8.387 9.021 9.269 10.435 10.118 9.867 1222000000 92.24 89.28 93.63 95.65 96.93 102.49 110.24 113.27 127.52 123.64 120.57 105.95 -HK.00178 ɯɯ 0.725 0.669 0.714 0.667 0.646 0.647 0.595 0.621 0.603 0.6 0.612 3103190000 22.50 20.76 22.16 20.70 20.05 20.08 18.46 19.27 18.71 18.62 18.99 20.03 -HK.00179 ²ع 10.584 10.72 10.336 10.274 11.972 15.812 13.008 16.098 20.779 22.763 24.935 934412000 98.90 100.17 96.58 96.00 111.87 147.75 121.55 150.42 194.16 212.70 233.00 142.10 -HK.00180 Ｏ 0.288 0.293 0.296 0.281 0.248 0.244 0.254 0.264 0.24 0.253 0.244 950588000 2.74 2.79 2.81 2.67 2.36 2.32 2.41 2.51 2.28 2.40 2.32 2.51 -HK.00181 ۿع 0.082 0.08 0.074 0.08 0.076 0.077 0.076 0.075 0.077 0.083 0.093 1145550000 0.94 0.92 0.85 0.92 0.87 0.88 0.87 0.86 0.88 0.95 1.07 0.91 -HK.00182 ЭԴ 0.517 0.492 0.484 0.46 0.436 0.443 0.417 0.447 0.474 0.463 0.416 7877680000 40.73 38.76 38.13 36.24 34.35 34.90 32.85 35.21 37.34 36.47 32.77 36.16 -HK.00183 Լ 0.141 0.14 0.139 0.151 0.143 0.14 0.14 0.17 0.263 0.279 0.232 566913000 0.80 0.79 0.79 0.86 0.81 0.79 0.79 0.96 1.49 1.58 1.32 1.00 -HK.00184 Ͷ 2.153 2.03 1.971 2.096 2.248 2.337 2.107 2.229 2.306 2.621 2.765 340200000 7.32 6.91 6.71 7.13 7.65 7.95 7.17 7.58 7.85 8.92 9.41 7.69 -HK.00185 ʵҵ 0.23 0.17 0.163 0.148 0.102 0.081 0.083 0.072 0.109 0.122 1913390000 0.00 4.40 3.25 3.12 2.83 1.95 1.55 1.59 1.38 2.09 2.33 2.23 -HK.00186 ݿع 0.286 0.262 0.266 0.231 0.23 0.236 0.299 0.249 0.231 0.217 0.195 5492230000 15.71 14.39 14.61 12.69 12.63 12.96 16.42 13.68 12.69 11.92 10.71 13.49 -HK.00187 ǻɷ 2.554 2.908 3.043 2.891 3.196 4.691 4.146 4.402 4.364 5.167 5.454 100000000 2.55 2.91 3.04 2.89 3.20 4.69 4.15 4.40 4.36 5.17 5.45 3.89 -HK.00188 »㸻 0.22 0.202 0.222 0.221 0.221 0.228 0.229 0.228 0.229 0.291 0.287 760261000 1.67 1.54 1.69 1.68 1.68 1.73 1.74 1.73 1.74 2.21 2.18 1.78 -HK.00189 6.903 6.521 7.38 8.053 8.091 9.144 8.565 9.034 9.598 10.475 11.602 1732710000 119.61 112.99 127.87 139.54 140.19 158.44 148.41 156.53 166.31 181.50 201.03 150.22 -HK.00191 ¹ 0.696 0.663 0.582 0.541 0.536 0.601 0.631 0.567 0.549 0.587 0.563 883374000 6.15 5.86 5.14 4.78 4.73 5.31 5.57 5.01 4.85 5.19 4.97 5.23 -HK.00193 еز 0.397 0.396 0.367 0.33 0.426 0.446 0.364 0.299 0.271 0.226 0.223 233203000 0.93 0.92 0.86 0.77 0.99 1.04 0.85 0.70 0.63 0.53 0.52 0.79 -HK.00194 δҵ 4.028 3.881 3.884 3.786 3.776 3.773 3.898 3.986 4.204 4.335 4.688 378583000 15.25 14.69 14.70 14.33 14.30 14.28 14.76 15.09 15.92 16.41 17.75 15.23 -HK.00196 껪 0.143 0.136 0.123 0.114 0.137 0.164 0.151 0.145 0.187 0.234 0.246 9040490000 12.93 12.30 11.12 10.31 12.39 14.83 13.65 13.11 16.91 21.15 22.24 14.63 -HK.00197 ̩ 0.333 0.326 0.202 0.157 0.163 0.148 0.146 0.159 0.19 0.247 0.388 178605000 0.59 0.58 0.36 0.28 0.29 0.26 0.26 0.28 0.34 0.44 0.69 0.40 -HK.00199 ز 0.331 0.285 0.222 0.206 0.2 0.198 0.21 0.202 0.218 0.219 0.211 907198000 3.00 2.59 2.01 1.87 1.81 1.80 1.91 1.83 1.98 1.99 1.91 2.06 -HK.00200 婹ʷչ 3.711 3.571 3.599 3.19 3.021 3.128 2.692 3.22 3.45 5.13 5.061 2275030000 84.43 81.24 81.88 72.57 68.73 71.16 61.24 73.26 78.49 116.71 115.14 82.26 -HK.00201 Ƶ 0.071 0.069 0.069 0.074 0.075 0.076 0.068 0.07 0.071 0.072 0.071 8947050000 6.35 6.17 6.17 6.62 6.71 6.80 6.08 6.26 6.35 6.44 6.35 6.39 -HK.00202 йʿع 0.114 0.111 0.119 0.124 0.1 0.073 0.077 0.068 0.063 0.057 0.137 7294370000 8.32 8.10 8.68 9.05 7.29 5.32 5.62 4.96 4.60 4.16 9.99 6.92 -HK.00204 ʱ 2.368 1.77 1.354 1.162 1.046 1.088 0.974 0.985 0.986 0.914 0.867 51886500 1.23 0.92 0.70 0.60 0.54 0.56 0.51 0.51 0.51 0.47 0.45 0.64 -HK.00205 Ѷý 0.188 0.17 0.17 0.157 0.124 0.135 0.135 0.169 0.192 0.315 0.286 1104210000 2.08 1.88 1.88 1.73 1.37 1.49 1.49 1.87 2.12 3.48 3.16 2.05 -HK.00206 Դ 0.179 0.173 0.158 0.202 0.204 0.225 0.221 0.226 0.229 0.23 0.244 3243430000 5.81 5.61 5.12 6.55 6.62 7.30 7.17 7.33 7.43 7.46 7.91 6.76 -HK.00207 óǵز 0.245 0.221 0.207 0.207 0.213 0.226 0.207 0.209 0.228 0.33 0.545 14231100000 34.87 31.45 29.46 29.46 30.31 32.16 29.46 29.74 32.45 46.96 77.56 36.72 -HK.00209 ɿѧ 0.233 0.23 0.187 0.173 0.173 0.165 0.158 0.146 0.15 0.178 0.379 154757000 0.36 0.36 0.29 0.27 0.27 0.26 0.24 0.23 0.23 0.28 0.59 0.31 -HK.00210 ܽݹ 0.237 0.228 0.228 0.229 0.232 0.31 0.338 0.437 0.409 0.483 0.512 1978600000 4.69 4.51 4.51 4.53 4.59 6.13 6.69 8.65 8.09 9.56 10.13 6.55 -HK.00211 輯 0.21 0.219 0.23 0.213 0.206 0.205 0.203 0.21 0.238 0.278 0.252 733047000 1.54 1.61 1.69 1.56 1.51 1.50 1.49 1.54 1.74 2.04 1.85 1.64 -HK.00212 24.048 24.036 23.718 23.5 23.75 23.762 22.642 24.735 25.219 25.461 25.298 33967700 8.17 8.16 8.06 7.98 8.07 8.07 7.69 8.40 8.57 8.65 8.59 8.22 -HK.00213 0.6 0.52 0.481 0.438 0.428 0.401 0.399 0.376 0.373 0.378 0.387 914999000 5.49 4.76 4.40 4.01 3.92 3.67 3.65 3.44 3.41 3.46 3.54 3.98 -HK.00214 㺺ع 0.44 0.404 0.405 0.372 0.364 0.349 0.343 0.357 0.325 0.32 0.315 840874000 3.70 3.40 3.41 3.13 3.06 2.93 2.88 3.00 2.73 2.69 2.65 3.05 -HK.00215 ͼǵѶ 0.905 0.89 0.883 0.869 0.896 0.918 0.908 0.958 1.001 1.08 1.105 4819100000 43.61 42.89 42.55 41.88 43.18 44.24 43.76 46.17 48.24 52.05 53.25 45.62 -HK.00216 ҵʵҵ 0.78 0.715 0.671 0.634 0.651 0.67 0.612 0.615 0.612 0.605 0.593 551368000 4.30 3.94 3.70 3.50 3.59 3.69 3.37 3.39 3.37 3.34 3.27 3.59 -HK.00217 йͨչ 0.115 0.109 0.106 0.105 0.097 0.09 0.094 0.092 0.09 0.178 0.219 5964640000 6.86 6.50 6.32 6.26 5.79 5.37 5.61 5.49 5.37 10.62 13.06 7.02 -HK.00218 Դ 1.846 1.745 1.77 1.519 1.624 1.528 1.175 1.239 1.379 2.043 1.968 1561140000 28.82 27.24 27.63 23.71 25.35 23.85 18.34 19.34 21.53 31.89 30.72 25.31 -HK.00219 ˳ҵ 0.75 0.738 0.702 0.631 0.591 0.615 0.582 0.552 0.589 0.618 0.615 579753000 4.35 4.28 4.07 3.66 3.43 3.57 3.37 3.20 3.41 3.58 3.57 3.68 -HK.00220 ͳһҵй 7.276 6.585 6.997 7.259 7.518 8.497 8.486 9.403 9.7 9.719 9.576 4319330000 314.27 284.43 302.22 313.54 324.73 367.01 366.54 406.15 418.98 419.80 413.62 357.39 -HK.00222 ż 1.839 1.861 1.948 2.206 2.175 2.174 1.997 1.846 1.902 2.731 3.205 597257000 10.98 11.11 11.63 13.18 12.99 12.98 11.93 11.03 11.36 16.31 19.14 12.97 -HK.00224 0.744 0.658 0.662 0.681 0.667 0.681 0.651 0.6 0.601 0.631 0.631 1154040000 8.59 7.59 7.64 7.86 7.70 7.86 7.51 6.92 6.94 7.28 7.28 7.56 -HK.00225 ҵ 4.589 4.532 4.509 4.442 4.56 4.889 4.799 5.043 5.136 5.515 5.56 110179000 5.06 4.99 4.97 4.89 5.02 5.39 5.29 5.56 5.66 6.08 6.13 5.37 -HK.00226 0.861 0.79 0.795 0.699 0.421 0.417 0.401 0.466 0.605 0.632 0.671 493154000 4.25 3.90 3.92 3.45 2.08 2.06 1.98 2.30 2.98 3.12 3.31 3.03 -HK.00227 һϺ 0.369 0.291 0.249 0.228 0.268 0.295 0.244 0.26 0.277 0.407 0.41 2190680000 8.08 6.37 5.45 4.99 5.87 6.46 5.35 5.70 6.07 8.92 8.98 6.57 -HK.00228 ܿع 0.07 0.061 0.059 0.056 0.051 0.046 0.044 0.046 0.052 0.051 0.046 12165300000 8.52 7.42 7.18 6.81 6.20 5.60 5.35 5.60 6.33 6.20 5.60 6.44 -HK.00229 ʵҵ 0.867 0.839 0.81 0.809 0.804 0.806 0.778 0.841 0.839 0.85 0.864 501325000 4.35 4.21 4.06 4.06 4.03 4.04 3.90 4.22 4.21 4.26 4.33 4.15 -HK.00230 ز 0.439 0.379 0.35 0.311 0.367 0.44 0.426 0.434 0.417 0.434 0.391 3346910000 14.69 12.68 11.71 10.41 12.28 14.73 14.26 14.53 13.96 14.53 13.09 13.35 -HK.00232 ½տƼع 0.138 0.12 0.105 0.103 0.106 0.104 0.095 0.108 0.121 0.136 0.156 9303380000 12.84 11.16 9.77 9.58 9.86 9.68 8.84 10.05 11.26 12.65 14.51 10.93 -HK.00234 ͼ 0.036 0.031 0.029 0.027 0.027 0.028 0.026 0.025 0.032 0.032 0.033 5780370000 2.08 1.79 1.68 1.56 1.56 1.62 1.50 1.45 1.85 1.85 1.91 1.71 -HK.00235 вʱع 0.033 0.029 0.028 0.026 0.026 0.024 0.021 0.021 0.026 0.03 0.031 20385300000 6.73 5.91 5.71 5.30 5.30 4.89 4.28 4.28 5.30 6.12 6.32 5.47 -HK.00236 ơ 0.913 0.882 0.802 0.754 0.766 0.732 0.699 0.761 0.911 1.04 1.253 373571000 3.41 3.29 3.00 2.82 2.86 2.73 2.61 2.84 3.40 3.89 4.68 3.23 -HK.00237 ȫ 1.845 1.834 1.872 1.842 1.857 1.912 1.854 1.877 1.884 2.11 2.117 405000000 7.47 7.43 7.58 7.46 7.52 7.74 7.51 7.60 7.63 8.55 8.57 7.73 -HK.00239 ׻ 2.328 2.337 2.344 2.358 2.391 2.122 2.141 2.265 2.345 2.488 2.448 311640000 7.25 7.28 7.30 7.35 7.45 6.61 6.67 7.06 7.31 7.75 7.63 7.24 -HK.00240 ع 0.85 0.834 0.793 0.762 0.805 0.856 0.962 1.025 1.095 1.21 1.242 1241880000 10.56 10.36 9.85 9.46 10.00 10.63 11.95 12.73 13.60 15.03 15.42 11.78 -HK.00241 ｡ 4.366 3.924 3.558 3.313 4.875 5.28 4.597 4.919 4.584 4.59 5.082 16123600000 703.96 632.69 573.68 534.17 786.03 851.33 741.20 793.12 739.11 740.07 819.40 719.52 -HK.00242 ŵ¼ 0.734 0.658 0.658 0.614 0.607 0.614 0.551 0.582 0.589 0.64 0.716 3017660000 22.15 19.86 19.86 18.53 18.32 18.53 16.63 17.56 17.77 19.31 21.61 19.10 -HK.00243 Ʒʹ 0.245 0.218 0.184 0.171 0.204 0.232 0.213 0.167 0.19 0.298 0.403 346491000 0.85 0.76 0.64 0.59 0.71 0.80 0.74 0.58 0.66 1.03 1.40 0.80 -HK.00244 ʩ 0.216 0.23 0.218 0.232 0.23 0.226 0.233 0.245 0.251 0.248 0.301 1313960000 2.84 3.02 2.86 3.05 3.02 2.97 3.06 3.22 3.30 3.26 3.96 3.14 -HK.00245 ޱ 1.168 1.031 0.926 0.836 0.92 0.868 0.888 1.266 1.298 1.046 1.038 1859100000 21.71 19.17 17.22 15.54 17.10 16.14 16.51 23.54 24.13 19.45 19.30 19.07 -HK.00247 ɳҵ 18.339 19.412 19.46 19.65 19.65 19.65 19.271 19.2 19.193 19.636 19.683 2186420000 400.97 424.43 425.48 429.63 429.63 429.63 421.34 419.79 419.64 429.33 430.35 423.66 -HK.00248 ͨѶʿع 0.036 0.034 0.03 0.03 0.029 0.031 0.026 0.027 0.028 0.029 0.033 1245330000 0.45 0.42 0.37 0.37 0.36 0.39 0.32 0.34 0.35 0.36 0.41 0.38 -HK.00251 צۿع 1.524 1.428 1.378 1.352 1.406 1.44 1.376 1.333 1.314 1.205 1.191 602123000 9.18 8.60 8.30 8.14 8.47 8.67 8.29 8.03 7.91 7.26 7.17 8.18 -HK.00252 ŵز 1.602 1.69 1.7 1.7 1.717 1.68 1.684 1.621 1.61 1.61 1.61 225420000 3.61 3.81 3.83 3.83 3.87 3.79 3.80 3.65 3.63 3.63 3.63 3.73 -HK.00253 ˳ع 0.758 0.734 0.697 0.629 0.634 0.614 0.562 0.556 0.581 0.618 0.609 304369000 2.31 2.23 2.12 1.91 1.93 1.87 1.71 1.69 1.77 1.88 1.85 1.93 -HK.00254 Դ 0.037 0.029 0.029 0.027 0.029 0.045 0.063 0.056 0.041 0.039 0.387 438763000 0.16 0.13 0.13 0.12 0.13 0.20 0.28 0.25 0.18 0.17 1.70 0.31 -HK.00255 Ǽ 1.017 0.95 0.912 1.002 1.009 1.12 1.204 1.267 1.321 1.409 1.507 631677000 6.42 6.00 5.76 6.33 6.37 7.07 7.61 8.00 8.34 8.90 9.52 7.30 -HK.00256 ڳӱ鱦 0.98 0.904 0.788 0.756 0.602 0.521 0.435 0.479 0.456 0.425 0.38 4351890000 42.65 39.34 34.29 32.90 26.20 22.67 18.93 20.85 19.84 18.50 16.54 26.61 -HK.00257 󻷾 3.79 3.516 3.677 3.403 3.257 3.307 3.349 3.63 3.872 4.135 4.258 6142980000 232.82 215.99 225.88 209.05 200.08 203.15 205.73 222.99 237.86 254.01 261.57 224.46 -HK.00258 2.294 2.215 2.504 2.793 2.874 2.728 2.659 2.651 2.76 3.254 3.35 2259020000 51.82 50.04 56.57 63.09 64.92 61.63 60.07 59.89 62.35 73.51 75.68 61.78 -HK.00259 ڶ(ʿع) 0.668 0.686 0.835 1.589 1.869 1.901 1.664 1.609 1.901 1.949 2.582 933302000 6.23 6.40 7.79 14.83 17.44 17.74 15.53 15.02 17.74 18.19 24.10 14.64 -HK.00261 GBA 1.153 1.047 0.811 0.535 0.426 0.451 0.385 0.396 0.296 0.328 0.317 238235000 2.75 2.49 1.93 1.27 1.01 1.07 0.92 0.94 0.71 0.78 0.76 1.33 -HK.00262 ϳչ 0.065 0.063 0.057 0.056 0.055 0.054 0.054 0.059 0.071 0.069 0.066 1466820000 0.95 0.92 0.84 0.82 0.81 0.79 0.79 0.87 1.04 1.01 0.97 0.89 -HK.00264 չع 1.248 1.644 1.564 1.76 2.211 2.641 2.073 1.803 1.54 1.45 1.425 431740000 5.39 7.10 6.75 7.60 9.55 11.40 8.95 7.78 6.65 6.26 6.15 7.60 -HK.00265 ǻ۳з 1.386 1.133 1.4 0.957 0.911 0.841 0.834 0.871 0.828 0.815 0.88 258442000 3.58 2.93 3.62 2.47 2.35 2.17 2.16 2.25 2.14 2.11 2.27 2.55 -HK.00266 µز 2.123 2.061 1.935 1.931 1.93 2.045 1.992 1.99 2.031 2.147 2.042 474732000 10.08 9.78 9.19 9.17 9.16 9.71 9.46 9.45 9.64 10.19 9.69 9.59 -HK.00267 Źɷ 9.019 8.573 8.568 8.177 8.666 9.164 8.6 9.431 10.535 11.303 11.722 29090300000 2623.65 2493.91 2492.46 2378.71 2520.97 2665.84 2501.77 2743.51 3064.66 3288.08 3409.96 2743.96 -HK.00268 9.032 8.577 9.181 8.647 13.212 14.57 12.109 13.125 14.012 16.048 17.216 3549470000 320.59 304.44 325.88 306.92 468.96 517.16 429.81 465.87 497.35 569.62 611.08 437.97 -HK.00269 йԴͨ 0.018 0.017 0.012 0.012 0.011 0.011 0.011 10644100000 0.00 0.00 0.00 0.00 1.92 1.81 1.28 1.28 1.17 1.17 1.17 0.89 -HK.00270 Ͷ 5.141 4.806 5.878 5.948 5.838 6.014 5.98 6.211 6.622 6.822 6.993 6537820000 336.11 314.21 384.29 388.87 381.68 393.18 390.96 406.06 432.93 446.01 457.19 393.77 -HK.00271 ֤ز 0.17 0.16 0.164 0.153 0.148 0.148 0.142 0.165 0.16 0.165 0.165 1240670000 2.11 1.99 2.03 1.90 1.84 1.84 1.76 2.05 1.99 2.05 2.05 1.96 -HK.00272 𰲷ز 0.709 0.673 0.656 0.605 0.623 0.667 0.617 0.632 0.68 0.772 0.779 8027270000 56.91 54.02 52.66 48.56 50.01 53.54 49.53 50.73 54.59 61.97 62.53 54.10 -HK.00276 ɹԴ 0.76 0.693 0.624 0.579 0.548 0.557 0.511 0.511 0.6 0.658 0.658 188126000 1.43 1.30 1.17 1.09 1.03 1.05 0.96 0.96 1.13 1.24 1.24 1.15 -HK.00277 ̫ҵ 2.406 2.407 2.407 2.407 2.377 1.8 1.8 1.8 1.8 1.8 1.8 277233000 6.67 6.67 6.67 6.67 6.59 4.99 4.99 4.99 4.99 4.99 4.99 5.75 -HK.00279 ԣпƽ() 0.937 0.808 0.826 0.74 0.77 0.752 0.645 0.633 0.695 0.856 0.852 1081100000 10.13 8.74 8.93 8.00 8.32 8.13 6.97 6.84 7.51 9.25 9.21 8.37 -HK.00280 0.357 0.342 0.344 0.334 0.349 0.355 0.347 0.362 0.415 0.438 0.455 909308000 3.25 3.11 3.13 3.04 3.17 3.23 3.16 3.29 3.77 3.98 4.14 3.39 -HK.00285 ǵϵ 32.89 31.197 39.855 39.551 53.47 46.985 32.63 33.298 31.225 33.316 37.511 2253200000 741.08 702.93 898.01 891.16 1204.79 1058.67 735.22 750.27 703.56 750.68 845.20 843.78 -HK.00287 ҵ 3.43 3.375 3.239 3.25 3.259 3.536 3.7 3.7 3.789 4.207 4.3 40000000 1.37 1.35 1.30 1.30 1.30 1.41 1.48 1.48 1.52 1.68 1.72 1.45 -HK.00288 ޹ 5.601 5.6 5.631 5.454 5.548 6.318 6.491 6.796 7.423 7.798 8.06 12830200000 718.62 718.49 722.47 699.76 711.82 810.61 832.81 871.94 952.39 1000.50 1034.11 824.87 -HK.00289 11.625 11.588 11.336 11.279 11.233 11.221 11.017 11.445 12.16 12.575 12.61 289158000 33.61 33.51 32.78 32.61 32.48 32.45 31.86 33.09 35.16 36.36 36.46 33.67 -HK.00290 0.808 0.78 0.78 0.936 1.052 1.263 1.261 1.407 1.458 1.643 1.588 9099910000 73.53 70.98 70.98 85.18 95.73 114.93 114.75 128.04 132.68 149.51 144.51 107.35 -HK.00291 ơ 30.973 27.518 25.6 23.048 24.343 26.916 27.106 26.195 24.9 26.78 26.329 3244180000 1004.82 892.73 830.51 747.72 789.73 873.20 879.37 849.81 807.80 868.79 854.16 854.42 -HK.00293 ̩ 7.554 8.219 9.111 9.749 9.638 10.163 9 10.053 10.432 11.655 10.92 6439410000 486.43 529.26 586.69 627.78 620.63 654.44 579.55 647.35 671.76 750.51 703.18 623.42 -HK.00294 1.013 1.021 0.996 0.997 1.166 1.087 0.995 0.909 0.903 0.956 0.926 206748000 2.09 2.11 2.06 2.06 2.41 2.25 2.06 1.88 1.87 1.98 1.91 2.06 -HK.00295 ɽع 0.026 0.024 0.021 0.019 0.017 0.016 0.014 0.015 0.015 0.016 0.016 14964400000 3.89 3.59 3.14 2.84 2.54 2.39 2.10 2.24 2.24 2.39 2.39 2.71 -HK.00296 Ӣ־Ƶ 0.351 0.324 0.295 0.289 0.285 0.29 0.276 0.305 0.303 0.271 0.276 1188490000 4.17 3.85 3.51 3.43 3.39 3.45 3.28 3.62 3.60 3.22 3.28 3.53 -HK.00297 л 1.102 1.05 1.023 1.039 0.991 1.019 1.102 1.132 1.255 1.403 1.441 7024460000 77.41 73.76 71.86 72.98 69.61 71.58 77.41 79.52 88.16 98.55 101.22 80.19 -HK.00298 ׯʿй 0.119 0.1 0.097 0.09 0.095 0.103 0.118 0.12 0.12 0.118 0.131 2347040000 2.79 2.35 2.28 2.11 2.23 2.42 2.77 2.82 2.82 2.77 3.07 2.58 -HK.00300 ļ 76.906 66.899 70.963 71.759 70.168 71.166 67.13 75.565 75.535 78.025 79.108 650595000 500.35 435.24 461.68 466.86 456.51 463.00 436.74 491.62 491.43 507.63 514.67 475.07 -HK.00301 ; 0.967 1.14 1.108 1.101 1.044 0.967 0.851 1.173 1.317 1.366 1.461 470460000 4.55 5.36 5.21 5.18 4.91 4.55 4.00 5.52 6.20 6.43 6.87 5.34 -HK.00302 0.875 0.801 0.851 0.742 0.785 0.51 0.355 0.394 0.477 0.508 0.562 2995410000 26.21 23.99 25.49 22.23 23.51 15.28 10.63 11.80 14.29 15.22 16.83 18.68 -HK.00303 ΰ״ 51.344 49.52 48.329 47.66 49.655 53.987 46.671 50.157 51.704 55.967 61.392 253109000 129.96 125.34 122.33 120.63 125.68 136.65 118.13 126.95 130.87 141.66 155.39 130.32 -HK.00305 0.554 0.476 0.418 0.389 0.455 0.498 0.424 0.429 0.43 0.496 0.571 3298160000 18.27 15.70 13.79 12.83 15.01 16.42 13.98 14.15 14.18 16.36 18.83 15.41 -HK.00306 Ұʿ 1.59 1.486 1.386 1.607 1.598 1.59 1.471 1.47 1.546 1.871 2.394 476777000 7.58 7.08 6.61 7.66 7.62 7.58 7.01 7.01 7.37 8.92 11.41 7.81 -HK.00308 1.073 0.989 1.004 0.982 1.029 1.09 1.019 1.023 1.137 1.85 1.628 5536630000 59.41 54.76 55.59 54.37 56.97 60.35 56.42 56.64 62.95 102.43 90.14 64.55 -HK.00311 ̩ع 0.19 0.19 0.178 0.184 0.179 0.169 0.16 0.16 0.155 0.157 0.163 1034110000 1.96 1.96 1.84 1.90 1.85 1.75 1.65 1.65 1.60 1.62 1.69 1.77 -HK.00312 걦ٻ 0.041 0.036 0.039 0.034 0.035 0.047 0.05 0.064 0.103 0.105 0.101 2495000000 1.02 0.90 0.97 0.85 0.87 1.17 1.25 1.60 2.57 2.62 2.52 1.49 -HK.00313 ԣй 0.228 0.216 0.204 0.159 0.098 0.097 0.075 0.066 0.067 0.07 0.077 1166830000 2.66 2.52 2.38 1.86 1.14 1.13 0.88 0.77 0.78 0.82 0.90 1.44 -HK.00314 ˼ɽ 5.494 5.402 5.255 4.941 5.123 5.203 4.569 4.114 4.451 5.875 5.968 750427000 41.23 40.54 39.43 37.08 38.44 39.04 34.29 30.87 33.40 44.09 44.79 38.47 -HK.00315 ͨѶ 3.925 3.891 3.961 3.931 4.065 4.22 4.162 4.367 4.366 4.594 4.702 1100950000 43.21 42.84 43.61 43.28 44.75 46.46 45.82 48.08 48.07 50.58 51.77 46.22 -HK.00316 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1.201 1.351 1.657 1.729 1.93 1.664 1.661 1.881 2.05 2.483 1732930000 21.56 20.81 23.41 28.71 29.96 33.45 28.84 28.78 32.60 35.53 43.03 29.70 -HK.00325 ³ 89.115 88.168 113.686 124.2 145.36 158.024 132.341 117.323 249251000 0.00 0.00 0.00 222.12 219.76 283.36 309.57 362.31 393.88 329.86 292.43 219.39 -HK.00326 йǼ 0.594 0.549 0.518 0.448 0.469 0.881 1.548 1.434 1.531 2.846 2.401 2428910000 14.43 13.33 12.58 10.88 11.39 21.40 37.60 34.83 37.19 69.13 58.32 29.19 -HK.00327 ٸ 5.065 4.801 4.963 4.595 4.767 4.812 4.281 4.604 5.518 6.243 6.777 1059840000 53.68 50.88 52.60 48.70 50.52 51.00 45.37 48.80 58.48 66.17 71.83 54.37 -HK.00328 ߼ 4.362 4.76 3.467 0.351 0.322 0.268 0.218 0.314 0.314 0.367 0.387 114557000 5.00 5.45 3.97 0.40 0.37 0.31 0.25 0.36 0.36 0.42 0.44 1.58 -HK.00329 0.542 0.43 0.349 0.27 0.335 0.327 0.336 0.366 0.389 0.412 0.36 1499750000 8.13 6.45 5.23 4.05 5.02 4.90 5.04 5.49 5.83 6.18 5.40 5.61 -HK.00330 ˼ݻ 0.152 0.136 0.131 0.126 0.124 0.119 0.103 0.099 2830820000 4.30 3.85 3.71 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0.268 0.259 0.244 0.181 0.177 0.171 0.258 0.236 2791880000 10.80 9.02 8.54 7.48 7.23 6.81 5.05 4.94 4.77 7.20 6.59 7.13 -HK.00338 Ϻʯͻɷ 1.19 1.173 1.183 1.127 1.206 1.233 1.155 1.199 1.223 1.342 1.367 3213800000 38.24 37.70 38.02 36.22 38.76 39.63 37.12 38.53 39.30 43.13 43.93 39.14 -HK.00339 йƴҵͶ 0.178 0.176 0.172 0.146 0.153 0.141 0.109 0.107 0.111 0.168 0.279 432000000 0.77 0.76 0.74 0.63 0.66 0.61 0.47 0.46 0.48 0.73 1.21 0.68 -HK.00340 ػƽ 0.463 0.471 0.481 0.462 0.482 0.735 1.139 1.404 2.409 2.07 1.939 4397690000 20.36 20.71 21.15 20.32 21.20 32.32 50.09 61.74 105.94 91.03 85.27 48.19 -HK.00341 ּ 8.367 7.608 7.781 7.595 7.478 7.505 7.206 7.101 6.989 7.327 7.248 580004000 48.53 44.13 45.13 44.05 43.37 43.53 41.80 41.19 40.54 42.50 42.04 43.34 -HK.00343 Ļ 0.202 0.171 0.165 0.174 0.184 0.178 0.171 0.164 0.137 0.132 0.134 1668660000 3.37 2.85 2.75 2.90 3.07 2.97 2.85 2.74 2.29 2.20 2.24 2.75 -HK.00345 ά̹ 6.82 10.291 10.893 9.351 9.15 9.614 9.917 9.487 9.379 9.341 9.389 1060410000 72.32 109.13 115.51 99.16 97.03 101.95 105.16 100.60 99.46 99.05 99.56 99.90 -HK.00346 ӳʯ͹ 0.351 0.296 0.276 0.268 0.271 0.289 0.274 0.287 0.403 0.412 0.428 1100100000 3.86 3.26 3.04 2.95 2.98 3.18 3.01 3.16 4.43 4.53 4.71 3.56 -HK.00347 ֹɷ 1.534 1.497 1.527 1.445 1.568 1.911 1.515 1.577 1.599 2.134 2.288 1411540000 21.65 21.13 21.55 20.40 22.13 26.97 21.38 22.26 22.57 30.12 32.30 23.86 -HK.00348 йܽ 0.064 0.082 0.104 0.184 0.166 0.15 0.101 0.092 0.078 0.084 0.132 770481000 0.49 0.63 0.80 1.42 1.28 1.16 0.78 0.71 0.60 0.65 1.02 0.87 -HK.00351 Դ 0.121 0.121 0.12 0.122 0.119 0.123 0.116 0.09 0.096 0.148 0.227 1994980000 2.41 2.41 2.39 2.43 2.37 2.45 2.31 1.80 1.92 2.95 4.53 2.54 -HK.00352 0.113 0.09 0.074 0.062 0.065 0.068 0.066 0.097 0.076 0.067 0.539 246183000 0.28 0.22 0.18 0.15 0.16 0.17 0.16 0.24 0.19 0.16 1.33 0.29 -HK.00353 ԴͶ 0.525 0.483 0.476 0.436 0.362 0.384 0.446 0.454 0.428 0.38 0.335 1080560000 5.67 5.22 5.14 4.71 3.91 4.15 4.82 4.91 4.62 4.11 3.62 4.63 -HK.00354 й 6.007 5.761 5.224 4.834 6.054 5.861 4.666 5.186 4.924 5.315 5.922 2732080000 164.12 157.40 142.72 132.07 165.40 160.13 127.48 141.69 134.53 145.21 161.79 148.41 -HK.00355 ͳй 0.191 0.185 0.149 0.127 0.122 0.106 0.056 0.042 0.062 0.068 0.066 3092570000 5.91 5.72 4.61 3.93 3.77 3.28 1.73 1.30 1.92 2.10 2.04 3.30 -HK.00356 ʱ 0.07 0.068 0.063 0.056 0.057 0.055 0.058 0.07 0.076 0.07 0.077 2735280000 1.91 1.86 1.72 1.53 1.56 1.50 1.59 1.91 2.08 1.91 2.11 1.79 -HK.00357 ո 8.69 8.52 9.304 8.359 8.272 9.045 9.648 10.366 10.474 10.996 10.603 226913000 19.72 19.33 21.11 18.97 18.77 20.52 21.89 23.52 23.77 24.95 24.06 21.51 -HK.00358 ͭҵɷ 14.009 12.247 11.914 11.953 11.941 12.756 11.836 12.921 13.981 15.914 17.664 1387480000 194.37 169.92 165.30 165.85 165.68 176.99 164.22 179.28 193.98 220.80 245.08 185.59 -HK.00360 ½ 0.045 0.055 0.053 0.046 0.047 0.046 0.042 0.046 0.058 0.054 0.053 17216900000 7.75 9.47 9.12 7.92 8.09 7.92 7.23 7.92 9.99 9.30 9.12 8.53 -HK.00361 ˳ع 0.039 0.04 0.038 0.038 0.05 0.05 0.041 0.05 0.057 0.048 0.045 5201250000 2.03 2.08 1.98 1.98 2.60 2.60 2.13 2.60 2.96 2.50 2.34 2.35 -HK.00363 Ϻʵҵع 11.787 11.145 11.199 10.823 10.941 11.248 10.932 11.774 12.903 14.335 14.788 1087210000 128.15 121.17 121.76 117.67 118.95 122.29 118.85 128.01 140.28 155.85 160.78 130.34 -HK.00365 оɿƼ 0.299 0.217 0.206 0.207 0.221 0.21 0.182 0.172 0.243 0.246 0.247 1455000000 4.35 3.16 3.00 3.01 3.22 3.06 2.65 2.50 3.54 3.58 3.59 3.24 -HK.00366 ½ϼ(Խ) 0.836 0.789 0.744 0.728 0.725 0.791 0.739 0.713 0.786 0.909 0.979 502453000 4.20 3.96 3.74 3.66 3.64 3.97 3.71 3.58 3.95 4.57 4.92 3.99 -HK.00367 ׯʿ 0.371 0.361 0.336 0.334 0.326 0.349 0.343 0.355 0.35 0.345 0.362 1672550000 6.21 6.04 5.62 5.59 5.45 5.84 5.74 5.94 5.85 5.77 6.05 5.83 -HK.00368 ºϼ 0.253 0.26 0.23 0.227 0.228 0.218 0.256 0.256 0.23 0.241 0.279 800000000 2.02 2.08 1.84 1.82 1.82 1.74 2.05 2.05 1.84 1.93 2.23 1.95 -HK.00369 ̩ز 1.847 1.837 1.835 1.751 1.611 1.549 1.451 1.466 1.5 1.67 1.709 1366510000 25.24 25.10 25.08 23.93 22.01 21.17 19.83 20.03 20.50 22.82 23.35 22.64 -HK.00370 л 0.14 0.267 0.261 0.312 0.512 0.961 0.833 1.385 1.679 1.552 1.376 2091500000 2.93 5.58 5.46 6.53 10.71 20.10 17.42 28.97 35.12 32.46 28.78 17.64 -HK.00371 ˮ 2.368 2.136 2.263 2.216 2.112 2.222 2.324 2.415 2.489 2.587 2.655 10046600000 237.90 214.60 227.35 222.63 212.18 223.24 233.48 242.63 250.06 259.91 266.74 235.52 -HK.00372 ¹ʷչ 0.377 0.323 0.295 0.259 0.218 0.173 0.202 0.254 0.276 0.213 0.174 302742000 1.14 0.98 0.89 0.78 0.66 0.52 0.61 0.77 0.84 0.64 0.53 0.76 -HK.00373 ϼ 1.524 1.439 1.403 1.418 1.438 1.53 1.485 1.546 1.595 1.647 1.748 3513680000 53.55 50.56 49.30 49.82 50.53 53.76 52.18 54.32 56.04 57.87 61.42 53.58 -HK.00374 ޼ 2.488 2.47 2.545 2.556 2.55 2.56 2.6 2.6 2.6 2.6 2.6 380100000 9.46 9.39 9.67 9.72 9.69 9.73 9.88 9.88 9.88 9.88 9.88 9.73 -HK.00375 YGMó 1.051 1.019 0.941 0.894 0.878 0.833 0.812 0.857 0.915 0.936 0.965 165864000 1.74 1.69 1.56 1.48 1.46 1.38 1.35 1.42 1.52 1.55 1.60 1.52 -HK.00376 Ʒ 1.184 1.068 1.058 0.985 1.099 1.146 1.044 1.905 2.15 3.359 2.871 3867990000 45.80 41.31 40.92 38.10 42.51 44.33 40.38 73.69 83.16 129.93 111.05 62.83 -HK.00377 й 0.721 0.712 0.967 0.712 0.762 0.842 0.931 0.859 0.886 1.065 1.194 61543100 0.44 0.44 0.60 0.44 0.47 0.52 0.57 0.53 0.55 0.66 0.73 0.54 -HK.00379 0.049 0.039 0.036 0.085 0.113 0.093 0.063 0.056 0.06 0.074 0.075 1687300000 0.83 0.66 0.61 1.43 1.91 1.57 1.06 0.94 1.01 1.25 1.27 1.14 -HK.00380 йҵ 0.088 0.087 0.084 0.085 0.091 0.108 0.097 0.101 0.12 0.151 0.16 1332270000 1.17 1.16 1.12 1.13 1.21 1.44 1.29 1.35 1.60 2.01 2.13 1.42 -HK.00381 Ȩʶ 1.605 1.896 1.782 1.128 0.982 0.786 0.512 0.591 0.557 0.514 0.422 947124000 15.20 17.96 16.88 10.68 9.30 7.44 4.85 5.60 5.28 4.87 4.00 9.28 -HK.00382 л㼯 2.324 2.057 2.038 1.938 1.968 1.967 1.657 1.474 1.494 1.655 1.626 1182800000 27.49 24.33 24.11 22.92 23.28 23.27 19.60 17.43 17.67 19.58 19.23 21.72 -HK.00383 찲׿ 0.682 0.739 0.704 0.678 0.727 0.736 0.759 0.732 0.797 0.983 0.884 1082850000 7.39 8.00 7.62 7.34 7.87 7.97 8.22 7.93 8.63 10.64 9.57 8.29 -HK.00384 йȼ 6.9 6.422 6.414 6.365 6.598 7.14 6.872 7.146 7.396 8.052 8.292 5448150000 375.92 349.88 349.44 346.77 359.47 389.00 374.40 389.32 402.95 438.69 451.76 384.33 -HK.00385 0.357 0.34 0.339 0.338 0.361 0.391 0.349 0.365 0.381 0.396 0.396 594899000 2.12 2.02 2.02 2.01 2.15 2.33 2.08 2.17 2.27 2.36 2.36 2.17 -HK.00386 йʯͻɷ 4.624 4.094 4.156 4.186 4.123 4.024 3.76 3.958 4.118 4.405 4.381 24013000000 1110.36 983.09 997.98 1005.18 990.06 966.28 902.89 950.43 988.86 1057.77 1052.01 1000.45 -HK.00387 () 0.703 0.68 0.659 0.615 0.594 0.667 0.66 0.631 0.618 0.66 0.777 230076000 1.62 1.56 1.52 1.41 1.37 1.53 1.52 1.45 1.42 1.52 1.79 1.52 -HK.00388 ۽ 322.081 301.11 294.2 283.626 327.58 353.852 329.042 380.4 409.171 427.309 431.4 1267840000 4083.47 3817.59 3729.99 3595.92 4153.19 4486.28 4171.73 4822.86 5187.63 5417.59 5469.46 4448.70 -HK.00390 й 3.909 3.702 3.704 3.523 3.614 3.704 3.188 3.287 3.5 3.886 4.002 4207390000 164.47 155.76 155.84 148.23 152.06 155.84 134.13 138.30 147.26 163.50 168.38 153.07 -HK.00391 Ѷ 0.123 0.105 0.099 0.087 0.092 0.095 0.095 0.099 0.098 0.099 0.099 5923740000 7.29 6.22 5.86 5.15 5.45 5.63 5.63 5.86 5.81 5.86 5.86 5.88 -HK.00392 ع 25.961 24.204 24.928 26.309 26.285 27.151 29.259 31.77 32.458 32.945 32.771 1258000000 326.59 304.49 313.59 330.97 330.67 341.56 368.08 399.67 408.32 414.45 412.26 359.15 -HK.00393 ҵ 0.999 1.065 1.102 1.142 1.181 1.222 1.169 1.219 1.266 1.334 1.328 1500720000 14.99 15.98 16.54 17.14 17.72 18.34 17.54 18.29 19.00 20.02 19.93 17.77 -HK.00396 ()ع 0.082 0.085 0.084 0.09 0.088 0.091 0.077 0.087 0.097 0.092 0.096 808096000 0.66 0.69 0.68 0.73 0.71 0.74 0.62 0.70 0.78 0.74 0.78 0.71 -HK.00397 0.116 0.096 0.087 0.085 0.078 0.08 0.069 0.066 0.064 0.061 0.059 2281890000 2.65 2.19 1.99 1.94 1.78 1.83 1.57 1.51 1.46 1.39 1.35 1.79 -HK.00398 м 3.128 3.354 3.543 3.5 3.606 3.528 3.447 3.578 3.592 3.39 3.398 487358000 15.24 16.35 17.27 17.06 17.57 17.19 16.80 17.44 17.51 16.52 16.56 16.86 -HK.00399 캽ҽҩƼ 0.209 0.203 0.194 0.205 0.186 0.177 0.169 0.201 0.207 0.428 0.55 2142790000 4.48 4.35 4.16 4.39 3.99 3.79 3.62 4.31 4.44 9.17 11.79 5.32 -HK.00400 Ӳ 1.557 1.388 1.284 1.251 1.479 1.493 1.263 1.4 1.37 1.879 2.222 1644260000 25.60 22.82 21.11 20.57 24.32 24.55 20.77 23.02 22.53 30.90 36.54 24.79 -HK.00401 μ 0.071 0.073 0.059 0.059 0.078 0.09 0.072 0.073 0.075 0.069 0.082 560222000 0.40 0.41 0.33 0.33 0.44 0.50 0.40 0.41 0.42 0.39 0.46 0.41 -HK.00403 ǹ⼯ 0.186 0.183 0.189 0.187 0.195 0.205 0.197 0.194 0.199 0.187 0.196 500633000 0.93 0.92 0.95 0.94 0.98 1.03 0.99 0.97 1.00 0.94 0.98 0.96 -HK.00405 Խ㷿л 1.071 0.983 0.941 0.893 0.868 0.856 0.733 0.748 0.797 0.884 0.922 5141090000 55.06 50.54 48.38 45.91 44.62 44.01 37.68 38.46 40.97 45.45 47.40 45.32 -HK.00406 1.019 1.006 0.975 1.009 0.988 0.936 0.926 0.937 0.851 0.784 0.762 438054000 4.46 4.41 4.27 4.42 4.33 4.10 4.06 4.10 3.73 3.43 3.34 4.06 -HK.00408 Ҷϻ 1.501 1.413 1.383 1.343 1.351 1.378 1.373 1.492 1.566 1.674 1.758 558460000 8.38 7.89 7.72 7.50 7.54 7.70 7.67 8.33 8.75 9.35 9.82 8.24 -HK.00410 SOHOй 0.783 0.747 0.723 0.641 0.647 0.617 0.544 0.53 0.532 0.566 0.578 5199520000 40.71 38.84 37.59 33.33 33.64 32.08 28.29 27.56 27.66 29.43 30.05 32.65 -HK.00411 ˳() 8.099 8.162 7.867 8.103 8.483 9.101 9.569 10.473 10.57 10.688 10.985 243354000 19.71 19.86 19.14 19.72 20.64 22.15 23.29 25.49 25.72 26.01 26.73 22.59 -HK.00412 ɽ߿ع 5.914 5.461 5.966 6.005 6.001 5.834 6.033 8.078 14.274 16.889 17.618 6019430000 355.99 328.72 359.12 361.47 361.23 351.17 363.15 486.25 859.21 1016.62 1060.50 536.68 -HK.00413 ϻſع 0.042 0.037 0.031 0.032 0.032 0.031 0.03 0.03 0.031 0.032 0.032 13221300000 5.55 4.89 4.10 4.23 4.23 4.10 3.97 3.97 4.10 4.23 4.23 4.33 -HK.00417 л 0.827 0.783 0.674 0.597 0.695 0.737 0.657 0.622 0.658 0.704 0.685 249182000 2.06 1.95 1.68 1.49 1.73 1.84 1.64 1.55 1.64 1.75 1.71 1.73 -HK.00418 ع 0.767 0.864 0.845 1.119 0.982 0.86 0.876 0.955 1.046 1.03 0.93 1169750000 8.97 10.11 9.88 13.09 11.49 10.06 10.25 11.17 12.24 12.05 10.88 10.93 -HK.00419 Ļ 0.087 0.079 0.072 0.066 0.063 0.053 0.048 0.043 0.04 0.042 0.072 13585300000 11.82 10.73 9.78 8.97 8.56 7.20 6.52 5.84 5.43 5.71 9.78 8.21 -HK.00420 ʵҵ 0.612 0.583 0.573 0.562 0.548 0.578 0.569 0.593 0.626 0.634 0.651 1225030000 7.50 7.14 7.02 6.88 6.71 7.08 6.97 7.26 7.67 7.77 7.97 7.27 -HK.00422 Խӹ 0.572 0.587 0.513 0.479 0.475 0.486 0.443 0.482 0.5 0.467 0.438 907680000 5.19 5.33 4.66 4.35 4.31 4.41 4.02 4.38 4.54 4.24 3.98 4.49 -HK.00423 ձ 0.77 0.73 0.71 0.702 0.702 0.692 0.651 0.678 0.722 0.759 0.805 431600000 3.32 3.15 3.06 3.03 3.03 2.99 2.81 2.93 3.12 3.28 3.47 3.11 -HK.00425 ʵ 14.578 13.505 13.931 14.673 17.342 21.924 17.326 19.809 20.394 25.248 28.724 1155130000 168.39 156.00 160.92 169.49 200.32 253.25 200.14 228.82 235.58 291.65 331.80 217.85 -HK.00426 ý 0.059 0.05 0.057 0.049 0.052 0.053 0.048 0.049 0.047 0.053 0.066 400900000 0.24 0.20 0.23 0.20 0.21 0.21 0.19 0.20 0.19 0.21 0.26 0.21 -HK.00428 й칭ع 0.481 0.462 0.437 0.382 0.373 0.331 0.243 0.19 0.208 0.229 0.27 128549000 0.62 0.59 0.56 0.49 0.48 0.43 0.31 0.24 0.27 0.29 0.35 0.42 -HK.00430 ҵع 0.318 0.313 0.337 0.38 0.385 0.4 0.381 0.386 0.405 0.4 0.413 388184000 1.23 1.22 1.31 1.48 1.49 1.55 1.48 1.50 1.57 1.55 1.60 1.45 -HK.00432 ӯز 0.206 0.199 0.196 0.194 0.197 0.199 0.191 0.2 0.199 0.206 0.205 2038240000 4.20 4.06 3.99 3.95 4.02 4.06 3.89 4.08 4.06 4.20 4.18 4.06 -HK.00433 ҵ 0.026 0.025 0.02 0.019 0.024 0.029 0.032 0.031 0.035 0.038 0.052 15002100000 3.90 3.75 3.00 2.85 3.60 4.35 4.80 4.65 5.25 5.70 7.80 4.51 -HK.00434 Ż 1.542 3.137 5.135 4.925 4.078 3.815 3.89 5.342 5.432 7.356 8.03 710959000 10.96 22.30 36.51 35.01 28.99 27.12 27.66 37.98 38.62 52.30 57.09 34.05 -HK.00435 ⷿز 1.87 1.768 1.746 1.744 1.757 1.883 1.848 2.036 2.184 2.288 2.314 1738440000 32.51 30.74 30.35 30.32 30.54 32.73 32.13 35.39 37.97 39.78 40.23 33.88 -HK.00436  0.061 0.058 0.049 0.05 0.046 0.051 0.057 0.053 0.063 0.057 0.057 3035700000 1.85 1.76 1.49 1.52 1.40 1.55 1.73 1.61 1.91 1.73 1.73 1.66 -HK.00438 ʺԴ 3.523 3.151 3.136 2.887 2.68 2.692 2.172 2.048 2.138 2.328 2.359 96248700 3.39 3.03 3.02 2.78 2.58 2.59 2.09 1.97 2.06 2.24 2.27 2.55 -HK.00439 ѧ 1.692 1.901 1.887 1.992 2.02 1.916 1.397 1.323 1.247 1.238 1.278 615693000 10.42 11.70 11.62 12.26 12.44 11.80 8.60 8.15 7.68 7.62 7.87 10.01 -HK.00440 ½ 24.451 23.963 25.46 26.87 27.865 31.27 25.665 27.685 29.002 30.077 29.581 319575000 78.14 76.58 81.36 85.87 89.05 99.93 82.02 88.47 92.68 96.12 94.53 87.71 -HK.00442 ܿع 0.934 0.911 0.821 0.736 0.669 0.671 0.78 0.734 0.672 0.741 0.867 172700000 1.61 1.57 1.42 1.27 1.16 1.16 1.35 1.27 1.16 1.28 1.50 1.34 -HK.00450 ӡˢ 0.932 0.917 0.892 0.897 0.912 0.907 0.893 0.945 0.949 0.965 0.952 907865000 8.46 8.33 8.10 8.14 8.28 8.23 8.11 8.58 8.62 8.76 8.64 8.39 -HK.00451 ЭԴ 0.428 0.434 0.447 0.468 0.456 0.441 0.371 0.329 0.392 0.444 0.442 1554320000 6.65 6.75 6.95 7.27 7.09 6.85 5.77 5.11 6.09 6.90 6.87 6.57 -HK.00455 ҩҵ 0.191 0.185 0.183 0.179 0.181 0.174 0.161 0.154 0.14 0.157 0.174 2150040000 4.11 3.98 3.93 3.85 3.89 3.74 3.46 3.31 3.01 3.38 3.74 3.67 -HK.00456 ³н跢չ 0.599 0.613 0.55 0.459 0.462 0.436 0.479 0.462 0.473 0.455 0.455 169580000 1.02 1.04 0.93 0.78 0.78 0.74 0.81 0.78 0.80 0.77 0.77 0.84 -HK.00458 Ǽ 2.385 2.34 2.34 2.321 2.276 1.89 1.883 2.223 2.326 2.375 2.4 273478000 6.52 6.40 6.40 6.35 6.22 5.17 5.15 6.08 6.36 6.50 6.56 6.16 -HK.00459 gع 0.086 0.081 0.078 0.074 0.07 0.07 0.071 0.085 0.084 0.081 0.076 1805280000 1.55 1.46 1.41 1.34 1.26 1.26 1.28 1.53 1.52 1.46 1.37 1.40 -HK.00460 Ļҽҩ 0.72 0.706 0.679 0.59 0.597 0.61 0.642 0.791 1.104 1.273 1.412 9193580000 66.19 64.91 62.42 54.24 54.89 56.08 59.02 72.72 101.50 117.03 129.81 76.26 -HK.00464 йܿƼ 0.173 0.164 0.148 0.238 0.291 0.232 0.28 0.346 0.419 0.516 0.525 639154000 1.11 1.05 0.95 1.52 1.86 1.48 1.79 2.21 2.68 3.30 3.36 1.94 -HK.00465 ͨƼ 0.308 0.298 0.283 0.262 0.264 0.323 0.29 0.315 0.293 0.312 0.35 311250000 0.96 0.93 0.88 0.82 0.82 1.01 0.90 0.98 0.91 0.97 1.09 0.93 -HK.00467 Դ 0.304 0.265 0.3 0.318 0.319 0.308 0.346 0.388 0.518 0.561 0.545 25849600000 78.58 68.50 77.55 82.20 82.46 79.62 89.44 100.30 133.90 145.02 140.88 98.04 -HK.00471 в 0.693 0.728 0.721 0.848 0.829 0.742 0.665 0.55 0.54 0.67 0.698 95319500 0.66 0.69 0.69 0.81 0.79 0.71 0.63 0.52 0.51 0.64 0.67 0.67 -HK.00472 ˿· 0.135 0.144 0.142 0.123 0.161 0.177 0.193 0.181 0.179 0.195 0.177 3207590000 4.33 4.62 4.55 3.95 5.16 5.68 6.19 5.81 5.74 6.25 5.68 5.27 -HK.00474 Ƽ 0.071 0.055 0.051 0.05 0.046 0.048 0.039 0.021 0.024 0.022 0.02 7381780000 5.24 4.06 3.76 3.69 3.40 3.54 2.88 1.55 1.77 1.62 1.48 3.00 -HK.00475 зչع 0.513 0.564 0.54 0.524 0.495 0.517 0.523 0.559 0.551 0.628 0.538 412081000 2.11 2.32 2.23 2.16 2.04 2.13 2.16 2.30 2.27 2.59 2.22 2.23 -HK.00476 ع 0.453 0.443 0.384 0.314 0.317 0.309 0.305 0.366 0.402 0.626 0.796 226979000 1.03 1.01 0.87 0.71 0.72 0.70 0.69 0.83 0.91 1.42 1.81 0.97 -HK.00480 ҵ 1.164 0.942 0.884 0.83 0.856 0.89 0.847 0.886 0.905 0.93 0.969 1485300000 17.29 13.99 13.13 12.33 12.71 13.22 12.58 13.16 13.44 13.81 14.39 13.64 -HK.00483 ˹ 0.272 0.225 0.225 0.221 0.206 0.19 0.166 0.169 0.252 0.233 0.213 367380000 1.00 0.83 0.83 0.81 0.76 0.70 0.61 0.62 0.93 0.86 0.78 0.79 -HK.00484 οع 0.832 0.764 0.701 0.768 0.743 0.771 0.697 0.724 0.729 0.835 0.871 171725000 1.43 1.31 1.20 1.32 1.28 1.32 1.20 1.24 1.25 1.43 1.50 1.32 -HK.00485 й 0.111 0.112 0.14 0.145 0.127 0.15 0.137 0.143 0.147 0.192 0.373 212840000 0.24 0.24 0.30 0.31 0.27 0.32 0.29 0.30 0.31 0.41 0.79 0.34 -HK.00486 2.724 3.3 3.2 3.158 4.02 4.87 4.008 4.107 3.884 3.964 4.378 15193000000 413.86 501.37 486.18 479.79 610.76 739.90 608.94 623.98 590.10 602.25 665.15 574.75 -HK.00487 ʵ» 0.067 0.075 0.081 0.091 0.083 0.079 0.057 0.054 0.104 0.129 0.122 4926490000 3.30 3.69 3.99 4.48 4.09 3.89 2.81 2.66 5.12 6.36 6.01 4.22 -HK.00488 ·չ 0.752 0.729 0.719 0.681 0.65 0.64 0.583 0.545 0.53 0.672 0.72 1453330000 10.93 10.59 10.45 9.90 9.45 9.30 8.47 7.92 7.70 9.77 10.46 9.54 -HK.00491 ӢĻҵ 0.05 0.047 0.042 0.04 0.044 0.042 0.04 0.042 0.045 0.036 0.037 3213340000 1.61 1.51 1.35 1.29 1.41 1.35 1.29 1.35 1.45 1.16 1.19 1.36 -HK.00493 0.029 0.026 0.02 0.019 0.02 0.018 0.018 0.022 0.019 0.02 0.019 47891100000 13.89 12.45 9.58 9.10 9.58 8.62 8.62 10.54 9.10 9.58 9.10 10.01 -HK.00496 ɭ 0.304 0.305 0.336 0.369 0.416 0.392 0.341 0.334 0.321 0.383 0.483 1836540000 5.58 5.60 6.17 6.78 7.64 7.20 6.26 6.13 5.90 7.03 8.87 6.65 -HK.00497 ʱԵز 0.181 0.178 0.176 0.176 0.176 0.174 0.165 0.167 0.171 0.181 0.192 12893700000 23.34 22.95 22.69 22.69 22.69 22.44 21.27 21.53 22.05 23.34 24.76 22.70 -HK.00498 ӿع 0.112 0.103 0.102 0.104 0.102 0.086 0.072 0.056 0.09 0.086 0.137 1040950000 1.17 1.07 1.06 1.08 1.06 0.90 0.75 0.58 0.94 0.90 1.43 0.99 -HK.00499 ൺع 0.189 0.171 0.132 0.118 0.114 0.123 0.108 0.107 0.107 0.116 0.122 998553000 1.89 1.71 1.32 1.18 1.14 1.23 1.08 1.07 1.07 1.16 1.22 1.28 -HK.00500 ȷ 0.165 0.154 0.157 0.15 0.14 0.136 0.129 0.127 0.114 0.097 0.096 2403390000 3.97 3.70 3.77 3.61 3.36 3.27 3.10 3.05 2.74 2.33 2.31 3.20 -HK.00505 ҵϽ 1.03 1 1.022 1.016 1.006 1 1.003 0.99 0.992 1.023 0.998 899558000 9.27 9.00 9.19 9.14 9.05 9.00 9.02 8.91 8.92 9.20 8.98 9.06 -HK.00506 йʳƷ 2.474 2.299 2.322 2.431 2.456 2.665 2.852 3.011 2.958 3.221 3.321 2797220000 69.20 64.31 64.95 68.00 68.70 74.55 79.78 84.22 82.74 90.10 92.90 76.31 -HK.00508 ڼͶ 0.484 0.496 0.49 0.444 0.403 0.345 0.295 0.321 0.397 0.341 0.343 850678000 4.12 4.22 4.17 3.78 3.43 2.93 2.51 2.73 3.38 2.90 2.92 3.37 -HK.00510 ʱڷ 0.372 0.324 0.305 0.321 0.29 0.28 0.23 0.198 0.234 0.39 0.392 431175000 1.60 1.40 1.32 1.38 1.25 1.21 0.99 0.85 1.01 1.68 1.69 1.31 -HK.00511 ӹ㲥 3.301 3.159 3.071 2.994 3.142 3.171 2.919 3.197 3.288 4.215 4.158 466962000 15.41 14.75 14.34 13.98 14.67 14.81 13.63 14.93 15.35 19.68 19.42 15.54 -HK.00512 Զҽҩ 4.583 4.327 4.465 4.16 4.362 5.514 5.769 8.06 8.951 9.333 8.285 3549570000 162.68 153.59 158.49 147.66 154.83 195.72 204.77 286.10 317.72 331.28 294.08 218.81 -HK.00513 ͼ 0.19 0.163 0.165 0.173 0.164 0.166 0.155 0.146 0.157 0.189 0.219 683118000 1.30 1.11 1.13 1.18 1.12 1.13 1.06 1.00 1.07 1.29 1.50 1.17 -HK.00515 лƼ 0.382 0.305 0.245 0.265 0.336 0.373 0.38 0.74 0.58 0.413 0.44 285568000 1.09 0.87 0.70 0.76 0.96 1.07 1.09 2.11 1.66 1.18 1.26 1.16 -HK.00517 Զ˹ 4.061 3.936 3.96 3.98 4.215 4.245 4.279 4.618 5.11 5.765 5.745 1465970000 59.53 57.70 58.05 58.35 61.79 62.23 62.73 67.70 74.91 84.51 84.22 66.52 -HK.00518 ͬ() 0.203 0.189 0.175 0.173 0.19 0.199 0.187 0.201 0.201 0.209 0.205 451068000 0.92 0.85 0.79 0.78 0.86 0.90 0.84 0.91 0.91 0.94 0.92 0.87 -HK.00519 ŵƴƼ 0.075 0.061 0.086 0.082 0.15 0.137 0.113 0.097 0.108 0.111 0.109 3055110000 2.29 1.86 2.63 2.51 4.58 4.19 3.45 2.96 3.30 3.39 3.33 3.14 -HK.00520 ȲȲ 1.172 0.99 1.07 0.889 0.915 0.908 0.7 0.68 0.676 0.8 0.795 1086170000 12.73 10.75 11.62 9.66 9.94 9.86 7.60 7.39 7.34 8.69 8.64 9.47 -HK.00521 CWT INTL 0.087 0.079 0.074 0.073 0.071 0.079 0.097 0.107 0.132 0.151 0.251 11400000000 9.92 9.01 8.44 8.32 8.09 9.01 11.06 12.20 15.05 17.21 28.61 12.45 -HK.00522 ASMPT 91.651 77.18 76.663 74.478 70.588 57.584 49.604 53.574 54.852 62.351 68.995 416459000 381.69 321.42 319.27 310.17 293.97 239.81 206.58 223.11 228.44 259.67 287.34 279.22 -HK.00524 0.337 0.283 0.308 0.312 0.289 0.301 0.319 0.315 0.325 0.314 0.307 196928000 0.66 0.56 0.61 0.61 0.57 0.59 0.63 0.62 0.64 0.62 0.60 0.61 -HK.00525 ·ɷ 2.245 2.034 2.07 1.994 1.981 1.863 1.653 1.7 1.797 1.99 1.985 1431300000 32.13 29.11 29.63 28.54 28.35 26.67 23.66 24.33 25.72 28.48 28.41 27.73 -HK.00526 ʱſع 0.17 0.188 0.181 0.188 0.158 0.137 0.114 0.113 0.113 0.113 0.105 8844020000 15.03 16.63 16.01 16.63 13.97 12.12 10.08 9.99 9.99 9.99 9.29 12.70 -HK.00527 Դ 0.641 0.659 0.654 0.621 0.528 0.52 0.494 0.474 0.44 0.394 1714720000 10.99 11.30 11.21 10.65 9.05 8.92 8.47 8.13 0.00 7.54 6.76 8.46 -HK.00528 ع 1.21 1.213 1.156 1.098 1.086 1.098 1.077 1.143 1.125 1.157 1.154 629678000 7.62 7.64 7.28 6.91 6.84 6.91 6.78 7.20 7.08 7.29 7.27 7.17 -HK.00529 1.687 1.592 1.415 1.413 1.411 1.504 1.851 1.78 1.7 1.699 1.843 277967000 4.69 4.43 3.93 3.93 3.92 4.18 5.15 4.95 4.73 4.72 5.12 4.52 -HK.00532 ϸ۽ 0.4 0.381 0.333 0.284 0.251 0.236 0.215 0.221 0.242 0.277 0.297 729898000 2.92 2.78 2.43 2.07 1.83 1.72 1.57 1.61 1.77 2.02 2.17 2.08 -HK.00533 0.897 0.892 1.419 1.425 1.451 1.458 1.468 1.089 0.955 1.02 0.998 973844000 8.74 8.69 13.82 13.88 14.13 14.20 14.30 10.61 9.30 9.93 9.72 11.57 -HK.00535 0.299 0.294 0.294 0.272 0.261 0.256 0.242 0.263 0.279 0.317 0.284 16613700000 49.67 48.84 48.84 45.19 43.36 42.53 40.21 43.69 46.35 52.67 47.18 46.23 -HK.00536 óͨ 0.859 0.845 0.837 0.851 0.86 0.883 0.875 0.912 0.93 0.955 0.974 794634000 6.83 6.71 6.65 6.76 6.83 7.02 6.95 7.25 7.39 7.59 7.74 7.07 -HK.00538 ζǧ(й) 0.841 0.766 0.769 0.775 0.764 0.739 0.707 0.748 0.818 0.862 0.912 1091540000 9.18 8.36 8.39 8.46 8.34 8.07 7.72 8.16 8.93 9.41 9.95 8.63 -HK.00540 Ѹݻع 0.116 0.122 0.134 0.136 0.129 0.181 0.17 0.181 0.175 0.148 0.15 600000000 0.70 0.73 0.80 0.82 0.77 1.09 1.02 1.09 1.05 0.89 0.90 0.90 -HK.00542 йũҵ 0.068 0.068 0.07 0.059 0.054 0.06 0.065 0.065 0.059 0.056 0.057 7687160000 5.23 5.23 5.38 4.54 4.15 4.61 5.00 5.00 4.54 4.30 4.38 4.76 -HK.00543 ̫ƽ 0.297 0.273 0.26 0.246 0.248 0.357 0.372 0.394 0.397 0.399 0.375 1135600000 3.37 3.10 2.95 2.79 2.82 4.05 4.22 4.47 4.51 4.53 4.26 3.74 -HK.00544 ͬ() 1.328 1.251 0.959 0.633 0.516 0.592 0.739 0.795 0.677 1.105 1.698 34813200 0.46 0.44 0.33 0.22 0.18 0.21 0.26 0.28 0.24 0.38 0.59 0.33 -HK.00546 Ἧ 4.481 4.282 4.953 5.033 5.253 5.834 5.948 6.543 6.994 7.472 9.08 2507240000 112.35 107.36 124.18 126.19 131.71 146.27 149.13 164.05 175.36 187.34 227.66 150.14 -HK.00547 0.435 0.466 0.493 0.491 0.482 0.477 0.432 0.417 0.397 0.438 0.418 7979250000 34.71 37.18 39.34 39.18 38.46 38.06 34.47 33.27 31.68 34.95 33.35 35.88 -HK.00548 ڸٹ·ɷ 6.861 6.786 6.872 6.791 6.298 6.404 6.13 6.374 6.528 6.792 6.934 747500000 51.29 50.73 51.37 50.76 47.08 47.87 45.82 47.65 48.80 50.77 51.83 49.45 -HK.00551 ԣԪ 14.205 15.591 16.829 15.373 15.367 12.9 10.253 10.922 11.292 12.363 12.858 1604560000 227.93 250.17 270.03 246.67 246.57 206.99 164.52 175.25 181.19 198.37 206.31 215.82 -HK.00552 йͨŷ 4.128 3.865 4.093 4.045 4.618 4.504 3.815 4.051 4.314 4.493 4.749 2391420000 98.72 92.43 97.88 96.73 110.44 107.71 91.23 96.88 103.17 107.45 113.57 101.47 -HK.00553 Ͼèӹɷ 2.98 3.325 3.626 3.162 3.302 3.49 2.963 3.639 4.096 4.74 5.562 242000000 7.21 8.05 8.77 7.65 7.99 8.45 7.17 8.81 9.91 11.47 13.46 8.99 -HK.00554 ˼ſع 0.216 0.221 0.22 0.221 0.212 0.206 0.215 0.244 0.285 0.28 0.273 4387330000 9.48 9.70 9.65 9.70 9.30 9.04 9.43 10.71 12.50 12.28 11.98 10.34 -HK.00556 ǻ 0.646 0.561 0.562 0.474 0.434 0.451 0.456 0.388 0.33 0.368 0.395 990000000 6.40 5.55 5.56 4.69 4.30 4.46 4.51 3.84 3.27 3.64 3.91 4.56 -HK.00557 Ԫҽ 0.642 0.594 0.556 0.52 0.523 0.481 0.686 0.8 0.828 0.803 0.841 398980000 2.56 2.37 2.22 2.07 2.09 1.92 2.74 3.19 3.30 3.20 3.36 2.64 -HK.00558 Ƽ 3.213 3.295 2.922 2.642 2.947 3.283 2.706 2.908 2.873 3.393 4.285 1364390000 43.84 44.96 39.87 36.05 40.21 44.79 36.92 39.68 39.20 46.29 58.46 42.75 -HK.00559 ̩Դ 0.256 0.179 0.17 0.165 0.172 0.144 0.118 0.123 0.137 0.188 0.206 523184000 1.34 0.94 0.89 0.86 0.90 0.75 0.62 0.64 0.72 0.98 1.08 0.88 -HK.00560 齭 0.746 0.709 0.709 0.715 0.729 0.78 0.718 0.734 0.765 0.8 0.791 1121170000 8.36 7.95 7.95 8.02 8.17 8.75 8.05 8.23 8.58 8.97 8.87 8.35 -HK.00563 ʵп 0.452 0.42 0.381 0.347 0.338 0.322 0.288 0.295 0.301 0.334 0.336 4780420000 21.61 20.08 18.21 16.59 16.16 15.39 13.77 14.10 14.39 15.97 16.06 16.58 -HK.00564 д 9.136 8.779 8.879 8.789 8.887 10.826 11.316 12.923 14.736 15.255 16.155 243234000 22.22 21.35 21.60 21.38 21.62 26.33 27.52 31.43 35.84 37.11 39.29 27.79 -HK.00565 ռſع 0.7 0.917 1.555 1.234 1.347 1.184 1.09 1.067 1.117 1.15 1.11 2688810000 18.82 24.66 41.81 33.18 36.22 31.84 29.31 28.69 30.03 30.92 29.85 30.48 -HK.00567 ΢߼ 0.083 0.082 0.083 0.087 0.087 0.091 0.148 0.125 0.104 0.094 0.094 1613290000 1.34 1.32 1.34 1.40 1.40 1.47 2.39 2.02 1.68 1.52 1.52 1.58 -HK.00568 ɽī 1.208 1.201 1.257 1.167 1.184 1.288 1.316 2.767 3.732 4.284 4.419 256126000 3.09 3.08 3.22 2.99 3.03 3.30 3.37 7.09 9.56 10.97 11.32 5.55 -HK.00570 йҩ 3.414 2.222 2.233 1.951 1.888 1.936 1.881 2.054 2.166 2.268 2.246 5035800000 171.92 111.90 112.45 98.25 95.08 97.49 94.72 103.44 109.08 114.21 113.10 111.06 -HK.00571 ع 0.049 0.048 0.046 0.051 0.049 0.051 0.047 0.05 0.055 0.05 0.054 1755880000 0.86 0.84 0.81 0.90 0.86 0.90 0.83 0.88 0.97 0.88 0.95 0.88 -HK.00572 δع 0.722 0.648 0.616 0.559 0.507 0.493 0.399 0.472 0.62 0.56 0.48 301508000 2.18 1.95 1.86 1.69 1.53 1.49 1.20 1.42 1.87 1.69 1.45 1.67 -HK.00573 ع 0.496 0.464 0.447 0.435 0.427 0.421 0.342 0.296 0.3 0.3 0.308 1014350000 5.03 4.71 4.53 4.41 4.33 4.27 3.47 3.00 3.04 3.04 3.12 3.91 -HK.00574 Ź 0.048 0.045 0.048 0.049 0.045 0.04 0.03 0.029 0.038 0.06 1474990000 0.71 0.66 0.71 0.72 0.66 0.59 0.00 0.44 0.43 0.56 0.88 0.58 -HK.00575 ̫ƽ 0.442 0.438 0.362 0.378 0.436 0.44 0.536 0.969 1.056 0.935 0.903 291816000 1.29 1.28 1.06 1.10 1.27 1.28 1.56 2.83 3.08 2.73 2.64 1.83 -HK.00576 㽭 5.14 4.856 4.954 5.037 5.222 5.601 6.152 6.399 6.83 7.435 7.494 1986520000 102.11 96.47 98.41 100.06 103.74 111.26 122.21 127.12 135.68 147.70 148.87 117.60 -HK.00579 Դ 1.863 1.684 1.707 1.69 1.731 1.794 2.019 2.288 2.37 2.505 2.424 2829680000 52.72 47.65 48.30 47.82 48.98 50.76 57.13 64.74 67.06 70.88 68.59 56.79 -HK.00580 Ƽ 1.296 1.189 1.277 1.319 1.384 1.28 1.111 1.188 1.198 1.397 1.562 1593400000 20.65 18.95 20.35 21.02 22.05 20.40 17.70 18.93 19.09 22.26 24.89 20.57 -HK.00581 й 1.189 1.13 1.102 1.005 1.038 1.27 1.108 1.209 1.24 1.687 1.832 3722570000 44.26 42.07 41.02 37.41 38.64 47.28 41.25 45.01 46.16 62.80 68.20 46.74 -HK.00582 0.197 0.182 0.187 0.181 0.165 0.163 0.155 0.163 0.152 0.149 0.139 1825740000 3.60 3.32 3.41 3.30 3.01 2.98 2.83 2.98 2.78 2.72 2.54 3.04 -HK.00583 ǻǿع 0.274 0.277 0.264 0.264 0.278 0.254 0.261 0.253 0.244 0.233 0.232 1567750000 4.30 4.34 4.14 4.14 4.36 3.98 4.09 3.97 3.83 3.65 3.64 4.04 -HK.00585 0.45 0.349 0.315 0.314 0.334 0.352 0.317 0.305 0.43 0.435 0.76 829922000 3.73 2.90 2.61 2.61 2.77 2.92 2.63 2.53 3.57 3.61 6.31 3.29 -HK.00586 ݴҵ 7.176 6.474 6.437 5.948 6.232 7.245 7.388 7.759 8.918 9.648 9.684 1792040000 128.60 116.02 115.35 106.59 111.68 129.83 132.40 139.04 159.81 172.90 173.54 135.07 -HK.00587 ݻ 0.875 0.769 0.714 0.698 0.645 0.61 0.558 0.563 0.585 0.68 0.725 1826760000 15.98 14.05 13.04 12.75 11.78 11.14 10.19 10.28 10.69 12.42 13.24 12.33 -HK.00588 ʵҵɷ 0.809 0.836 0.818 0.733 0.72 0.735 0.694 0.716 0.769 0.962 0.888 707020000 5.72 5.91 5.78 5.18 5.09 5.20 4.91 5.06 5.44 6.80 6.28 5.58 -HK.00590 14.757 14.399 14.173 14.129 14.563 15.333 15.537 17.843 19.603 21.141 22.473 587108000 86.64 84.54 83.21 82.95 85.50 90.02 91.22 104.76 115.09 124.12 131.94 98.18 -HK.00591 й߾ 0.146 0.119 0.13 0.119 0.146 0.217 0.221 0.232 0.266 0.385 0.4 1037500000 1.51 1.23 1.35 1.23 1.51 2.25 2.29 2.41 2.76 3.99 4.15 2.25 -HK.00595 ˼ 0.483 0.45 0.46 0.447 0.466 0.447 0.416 0.43 0.425 0.4 0.405 908663000 4.39 4.09 4.18 4.06 4.23 4.06 3.78 3.91 3.86 3.63 3.68 3.99 -HK.00596 ˳ҵ 3.468 3.1 3.404 3.925 5.16 5.81 6.561 8.164 8.202 8.249 10.448 1152610000 39.97 35.73 39.23 45.24 59.47 66.97 75.62 94.10 94.54 95.08 120.42 69.67 -HK.00598 й 3.715 3.214 3.367 3.5 3.569 3.643 3.311 3.48 3.829 4.271 4.492 2016280000 74.90 64.80 67.89 70.57 71.96 73.45 66.76 70.17 77.20 86.12 90.57 74.04 -HK.00599 пع 0.187 0.188 0.187 0.182 0.18 0.17 0.157 0.143 0.128 0.122 0.129 718839000 1.34 1.35 1.34 1.31 1.29 1.22 1.13 1.03 0.92 0.88 0.93 1.16 -HK.00601 ϡþƼ 0.099 0.154 0.105 0.09 0.076 0.07 0.063 0.068 0.081 0.084 0.085 592595000 0.59 0.91 0.62 0.53 0.45 0.41 0.37 0.40 0.48 0.50 0.50 0.53 -HK.00602 ѻٻع 0.035 0.028 0.032 0.03 0.028 0.04 0.032 0.04 0.04 0.046 0.065 1037500000 0.36 0.29 0.33 0.31 0.29 0.42 0.33 0.42 0.42 0.48 0.67 0.39 -HK.00603 ȼ 0.215 0.19 0.171 0.165 0.158 0.158 0.147 0.146 0.158 0.161 0.165 5636800000 12.12 10.71 9.64 9.30 8.91 8.91 8.29 8.23 8.91 9.08 9.30 9.40 -HK.00604 ڿع 0.991 0.921 0.881 0.816 0.823 0.855 0.757 0.768 0.787 0.934 0.918 8898790000 88.19 81.96 78.40 72.61 73.24 76.08 67.36 68.34 70.03 83.11 81.69 76.46 -HK.00605 йͶʹ 2.224 1.701 1.658 1.478 1.536 1.38 1.074 1.153 1.35 1.456 1.378 209286000 4.65 3.56 3.47 3.09 3.21 2.89 2.25 2.41 2.83 3.05 2.88 3.12 -HK.00606 п̹ 0.278 0.255 0.247 0.246 0.252 0.263 0.247 0.254 0.258 0.281 0.289 1935000000 5.38 4.93 4.78 4.76 4.88 5.09 4.78 4.91 4.99 5.44 5.59 5.05 -HK.00607 ʢع 0.629 0.555 0.554 0.523 0.499 0.474 0.381 0.411 0.423 0.401 0.335 636764000 4.01 3.53 3.53 3.33 3.18 3.02 2.43 2.62 2.69 2.55 2.13 3.00 -HK.00608 1.7 1.73 1.742 1.759 1.782 1.8 1.449 1.383 1.343 1.35 1.439 305615000 5.20 5.29 5.32 5.38 5.45 5.50 4.43 4.23 4.10 4.13 4.40 4.86 -HK.00609 » 1.129 1.085 1.105 1.089 1.104 1.077 0.998 1.058 1.101 1.165 1.312 878418000 9.92 9.53 9.71 9.57 9.70 9.46 8.77 9.29 9.67 10.23 11.52 9.76 -HK.00610 ݼǼ 0.768 0.731 0.702 0.671 0.636 0.638 0.606 0.625 0.656 0.683 0.718 793124000 6.09 5.80 5.57 5.32 5.04 5.06 4.81 4.96 5.20 5.42 5.69 5.36 -HK.00611 йܿƼ 0.437 0.381 0.373 0.339 0.358 0.341 0.333 0.358 0.405 0.444 0.493 1852040000 8.09 7.06 6.91 6.28 6.63 6.32 6.17 6.63 7.50 8.22 9.13 7.18 -HK.00613 ͩ 0.271 0.252 0.239 0.225 0.206 0.181 0.213 0.844 1.7 2.245 2.888 960528000 2.60 2.42 2.30 2.16 1.98 1.74 2.05 8.11 16.33 21.56 27.74 8.09 -HK.00616 ɽҵ 0.096 0.09 0.09 0.091 0.133 0.108 0.102 0.093 0.08 0.07 0.071 1014440000 0.97 0.91 0.91 0.92 1.35 1.10 1.03 0.94 0.81 0.71 0.72 0.94 -HK.00617 ع 0.746 0.685 0.558 0.535 0.532 0.508 0.382 0.352 0.316 0.302 0.281 1114590000 8.31 7.63 6.22 5.96 5.93 5.66 4.26 3.92 3.52 3.37 3.13 5.27 -HK.00618 Դ 0.276 0.172 0.158 0.166 0.158 0.151 0.151 0.147 0.137 0.161 0.157 2737420000 7.56 4.71 4.33 4.54 4.33 4.13 4.13 4.02 3.75 4.41 4.30 4.56 -HK.00619 ϻ 0.267 0.202 0.171 0.212 0.176 0.195 0.196 0.178 0.184 0.324 0.284 301277000 0.80 0.61 0.52 0.64 0.53 0.59 0.59 0.54 0.55 0.98 0.86 0.65 -HK.00620 0.28 0.288 0.266 0.251 0.239 0.239 0.255 0.255 0.246 0.578 0.68 734225000 2.06 2.11 1.95 1.84 1.75 1.75 1.87 1.87 1.81 4.24 4.99 2.39 -HK.00621 ̳ҵ 0.318 0.284 0.303 0.452 0.685 0.736 0.762 0.666 0.542 0.523 1815150000 0.00 5.77 5.16 5.50 8.20 12.43 13.36 13.83 12.09 9.84 9.49 8.70 -HK.00622 ع 0.185 0.17 0.164 0.16 0.229 0.489 0.489 0.445 0.433 0.515 0.501 6183230000 11.44 10.51 10.14 9.89 14.16 30.24 30.24 27.52 26.77 31.84 30.98 21.25 -HK.00623 ӽ 0.597 0.603 0.84 1.212 1.513 1.662 1.778 2.273 2.482 2.312 2.612 470433000 2.81 2.84 3.95 5.70 7.12 7.82 8.36 10.69 11.68 10.88 12.29 7.65 -HK.00626 ڽڿع 1.648 1.796 1.759 1.426 1.354 1.333 1.21 1.235 1.255 1.329 1.362 1097920000 18.09 19.72 19.31 15.66 14.87 14.64 13.28 13.56 13.78 14.59 14.95 15.68 -HK.00627 ձ 0.705 0.593 0.494 0.461 0.473 0.498 0.477 0.479 1.024 0.702 1420670000 10.02 8.42 7.02 6.55 6.72 7.07 0.00 6.78 6.81 14.55 9.97 7.63 -HK.00628 ͨͨAI罻 0.328 0.329 0.327 0.297 0.268 0.258 0.289 0.303 0.288 0.269 0.259 5201120000 17.06 17.11 17.01 15.45 13.94 13.42 15.03 15.76 14.98 13.99 13.47 15.20 -HK.00629 ôʿع 0.183 0.194 0.212 0.251 0.215 0.187 0.203 0.207 0.286 0.341 0.302 1168630000 2.14 2.27 2.48 2.93 2.51 2.19 2.37 2.42 3.34 3.99 3.53 2.74 -HK.00630 ̩ع 0.069 0.056 0.078 0.093 0.071 0.066 0.054 0.05 0.091 0.284 0.301 967552000 0.67 0.54 0.75 0.90 0.69 0.64 0.52 0.48 0.88 2.75 2.91 1.07 -HK.00631 һ 5.167 4.63 4.499 4.345 4.529 4.583 4.945 5.416 6.47 7.322 7.295 3230810000 166.94 149.59 145.35 140.38 146.32 148.07 159.76 174.98 209.03 236.56 235.69 173.88 -HK.00632 иʯ 0.213 0.223 0.379 0.497 0.48 0.391 0.418 0.501 0.666 0.561 0.522 869354000 1.85 1.94 3.29 4.32 4.17 3.40 3.63 4.36 5.79 4.88 4.54 3.83 -HK.00635 Ǽ 0.555 0.537 0.533 0.537 0.507 0.506 0.507 0.507 0.517 0.536 0.539 2068000000 11.48 11.11 11.02 11.11 10.48 10.46 10.48 10.48 10.69 11.08 11.15 10.87 -HK.00636 KLN 7.577 6.925 6.742 6.579 6.565 6.917 6.141 7.109 7.636 8.217 8.53 1807430000 136.95 125.16 121.86 118.91 118.66 125.02 110.99 128.49 138.02 148.52 154.17 129.70 -HK.00637 0.151 0.139 0.132 0.124 0.128 0.134 0.132 0.129 0.128 0.141 0.174 828750000 1.25 1.15 1.09 1.03 1.06 1.11 1.09 1.07 1.06 1.17 1.44 1.14 -HK.00639 ׸Դ 2.644 2.519 2.394 2.195 2.157 2.293 2.222 2.361 2.474 2.748 2.941 5091070000 134.61 128.24 121.88 111.75 109.81 116.74 113.12 120.20 125.95 139.90 149.73 124.72 -HK.00640 ǫչ 0.693 0.721 0.835 0.881 0.862 0.895 0.837 0.882 0.99 1.015 1.112 563351000 3.90 4.06 4.70 4.96 4.86 5.04 4.72 4.97 5.58 5.72 6.26 4.98 -HK.00641 йŹ 0.365 0.277 0.271 0.254 0.278 0.32 0.308 0.262 0.295 0.293 0.33 1100220000 4.02 3.05 2.98 2.79 3.06 3.52 3.39 2.88 3.25 3.22 3.63 3.25 -HK.00643 㸻ع 0.24 0.39 0.376 0.271 0.245 0.18 0.215 0.233 0.227 0.291 0.587 899846000 2.16 3.51 3.38 2.44 2.20 1.62 1.93 2.10 2.04 2.62 5.28 2.66 -HK.00645 0.077 0.066 0.057 0.061 0.087 0.19 0.227 0.197 0.123 0.125 0.152 513175000 0.40 0.34 0.29 0.31 0.45 0.98 1.16 1.01 0.63 0.64 0.78 0.64 -HK.00646 йƼ 0.257 0.236 0.234 0.217 0.222 0.233 0.214 0.156 0.158 0.178 0.174 342698000 0.88 0.81 0.80 0.74 0.76 0.80 0.73 0.53 0.54 0.61 0.60 0.71 -HK.00650 մؿƼ 0.232 0.187 0.163 0.198 0.207 0.23 0.225 0.212 0.198 0.211 0.205 7413580000 17.20 13.86 12.08 14.68 15.35 17.05 16.68 15.72 14.68 15.64 15.20 15.29 -HK.00653 ׿ÿع 0.181 0.169 0.178 0.222 0.161 0.125 0.105 0.101 0.102 0.105 0.097 1790860000 3.24 3.03 3.19 3.98 2.88 2.24 1.88 1.81 1.83 1.88 1.74 2.52 -HK.00655 ۻ޹˾ 0.277 0.263 0.257 0.259 0.237 0.252 0.223 0.24 0.271 0.304 0.298 1998280000 5.54 5.26 5.14 5.18 4.74 5.04 4.46 4.80 5.42 6.07 5.95 5.23 -HK.00656 ǹ 4.866 4.355 4.506 4.202 4.307 4.415 4.028 4.222 4.569 5.045 5.483 8166560000 397.38 355.65 367.99 343.16 351.73 360.55 328.95 344.79 373.13 412.00 447.77 371.19 -HK.00657 ƹ 0.025 0.022 0.021 0.019 0.02 0.017 0.018 0.017 0.019 0.028 0.028 1946310000 0.49 0.43 0.41 0.37 0.39 0.33 0.35 0.33 0.37 0.54 0.54 0.41 -HK.00658 йٴ 1.121 1.035 0.833 0.81 0.909 0.883 0.848 0.835 1.141 1.256 1.358 1635290000 18.33 16.93 13.62 13.25 14.86 14.44 13.87 13.65 18.66 20.54 22.21 16.40 -HK.00659 ܴ󸣴 6.964 7.16 7.292 6.987 6.913 7.311 7.041 7.334 7.396 7.61 7.744 4025820000 280.36 288.25 293.56 281.28 278.30 294.33 283.46 295.25 297.75 306.36 311.76 291.88 -HK.00660 ⿡Ƽ 0.071 0.088 0.103 0.105 0.091 0.132 0.149 0.138 0.176 178476000 0.00 0.00 0.13 0.16 0.18 0.19 0.16 0.24 0.27 0.25 0.31 0.17 -HK.00661 йұɫ 0.059 0.052 0.05 0.046 0.048 0.05 0.044 0.044 0.049 0.061 0.061 17895600000 10.56 9.31 8.95 8.23 8.59 8.95 7.87 7.87 8.77 10.92 10.92 9.18 -HK.00662 ޽ 3.787 3.767 3.724 3.852 3.81 3.85 3.836 3.928 4.006 4.508 4.661 924142000 35.00 34.81 34.42 35.60 35.21 35.58 35.45 36.30 37.02 41.66 43.07 36.74 -HK.00666 14.918 14.979 13.043 10.505 11.294 10.834 10.296 11.308 11.312 11.962 11.765 874422000 130.45 130.98 114.05 91.86 98.76 94.73 90.03 98.88 98.91 104.60 102.88 105.10 -HK.00667 й 2.722 2.691 2.564 2.312 2.584 3.694 5.049 5.73 6.48 7.21 8.509 2209690000 60.15 59.46 56.66 51.09 57.10 81.63 111.57 126.62 143.19 159.32 188.02 99.53 -HK.00669 ʵҵ 113.906 106.787 105.82 100.573 103.94 98.406 77.159 88.836 88.74 91.014 98.212 1831100000 2085.73 1955.38 1937.67 1841.59 1903.25 1801.91 1412.86 1626.68 1624.92 1666.56 1798.36 1786.81 -HK.00670 йչɷ 2.19 2.342 2.595 2.547 2.504 2.661 2.379 2.677 3.044 2.964 2.958 5176780000 113.37 121.24 134.34 131.85 129.63 137.75 123.16 138.58 157.58 153.44 153.13 135.82 -HK.00672 ڰ 0.153 0.135 0.119 0.11 0.122 0.155 0.129 0.111 0.107 0.125 0.158 5635810000 8.62 7.61 6.71 6.20 6.88 8.74 7.27 6.26 6.03 7.04 8.90 7.30 -HK.00673 й 0.663 0.651 0.568 0.301 0.256 0.213 0.187 0.275 0.29 0.364 0.66 491645000 3.26 3.20 2.79 1.48 1.26 1.05 0.92 1.35 1.43 1.79 3.24 1.98 -HK.00674 й 0.074 0.156 0.212 0.185 0.168 0.144 0.122 0.114 0.11 0.098 0.085 3428470000 2.54 5.35 7.27 6.34 5.76 4.94 4.18 3.91 3.77 3.36 2.91 4.58 -HK.00675 ᱦ 0.323 0.325 0.384 0.405 0.399 0.398 0.366 0.363 0.385 0.392 0.408 267005000 0.86 0.87 1.03 1.08 1.07 1.06 0.98 0.97 1.03 1.05 1.09 1.01 -HK.00676 Ź 0.841 0.81 0.835 0.876 0.851 0.87 0.915 0.982 1.009 0.984 1.025 730650000 6.14 5.92 6.10 6.40 6.22 6.36 6.69 7.17 7.37 7.19 7.49 6.64 -HK.00677 Դչʵҵ 0.416 0.395 0.382 0.365 0.346 0.343 0.335 0.343 0.343 0.349 0.357 1697410000 7.06 6.70 6.48 6.20 5.87 5.82 5.69 5.82 5.82 5.92 6.06 6.13 -HK.00679 Ƽ 0.921 0.91 0.927 0.87 0.886 0.894 0.82 0.875 0.901 0.961 1.03 381933000 3.52 3.48 3.54 3.32 3.38 3.41 3.13 3.34 3.44 3.67 3.93 3.47 -HK.00681 ع 0.025 0.022 0.025 0.024 0.022 0.021 0.021 0.024 0.028 0.032 0.031 8934560000 2.23 1.97 2.23 2.14 1.97 1.88 1.88 2.14 2.50 2.86 2.77 2.23 -HK.00682 ִ 0.346 0.269 0.24 0.222 0.231 0.274 0.257 0.231 0.222 0.224 0.222 164779000 0.57 0.44 0.40 0.37 0.38 0.45 0.42 0.38 0.37 0.37 0.37 0.41 -HK.00683 ｨ 15.794 15.02 14.574 14.241 14.49 16.977 16.724 18.443 19.192 20.515 21.055 1451310000 229.22 217.99 211.51 206.68 210.29 246.39 242.72 267.67 278.54 297.74 305.57 246.76 -HK.00684 ׹ 0.808 0.78 0.67 0.635 0.606 0.613 0.634 0.657 0.684 0.598 0.602 333055000 2.69 2.60 2.23 2.11 2.02 2.04 2.11 2.19 2.28 1.99 2.00 2.21 -HK.00685 绪ý 0.223 0.207 0.189 0.2 0.192 0.192 0.194 0.201 0.2 0.195 0.204 1624040000 3.62 3.36 3.07 3.25 3.12 3.12 3.15 3.26 3.25 3.17 3.31 3.24 -HK.00686 Դ 1.597 1.229 0.942 0.926 0.881 0.837 0.93 1.092 1.13 1.254 1.418 2198860000 35.12 27.02 20.71 20.36 19.37 18.40 20.45 24.01 24.85 27.57 31.18 24.46 -HK.00687 ̩ 0.167 0.166 0.162 0.158 0.156 0.186 0.205 0.227 0.243 0.246 0.273 3366040000 5.62 5.59 5.45 5.32 5.25 6.26 6.90 7.64 8.18 8.28 9.19 6.70 -HK.00688 йⷢչ 15.199 13.892 12.789 12.004 12.96 14.198 13.424 13.056 13.251 13.785 13.842 10944900000 1663.52 1520.47 1399.74 1313.83 1418.46 1553.96 1469.24 1428.97 1450.31 1508.75 1514.99 1476.57 -HK.00689 ӯ(ع) 0.254 0.246 0.235 0.213 0.196 0.185 0.161 0.155 0.12 0.117 0.11 619244000 1.57 1.52 1.46 1.32 1.21 1.15 1.00 0.96 0.74 0.72 0.68 1.12 -HK.00690 Ƽ 0.067 0.061 0.06 0.059 0.057 0.069 0.066 0.075 0.104 0.116 0.153 5971230000 4.00 3.64 3.58 3.52 3.40 4.12 3.94 4.48 6.21 6.93 9.14 4.81 -HK.00691 ɽˮˮ 0.503 0.502 0.503 0.532 0.489 0.517 0.545 0.518 0.487 0.572 0.817 4353970000 21.90 21.86 21.90 23.16 21.29 22.51 23.73 22.55 21.20 24.90 35.57 23.69 -HK.00693 ³ 1.223 1.144 1.004 0.991 0.986 0.956 0.93 1.035 1.088 1.302 1.457 2013310000 24.62 23.03 20.21 19.95 19.85 19.25 18.72 20.84 21.90 26.21 29.33 22.18 -HK.00694 ׶ɷ 2.923 2.782 2.828 2.777 2.858 2.847 2.714 2.818 2.853 3.065 3.028 1879360000 54.93 52.28 53.15 52.19 53.71 53.51 51.01 52.96 53.62 57.60 56.91 53.81 -HK.00695 ˮ 1.552 1.736 2.601 2.699 2.445 2.237 2.266 2.169 2.54 2.571 4 552000000 8.57 9.58 14.36 14.90 13.50 12.35 12.51 11.97 14.02 14.19 22.08 13.46 -HK.00696 йϢ 11.152 10.363 10.31 9.174 10.322 10.909 10.645 11.018 10.641 11.92 12.416 932562000 104.00 96.64 96.15 85.55 96.26 101.73 99.27 102.75 99.23 111.16 115.79 100.78 -HK.00697 ׳̿ع 1.073 0.968 0.958 0.956 1.346 1.583 1.459 1.6 1.584 1.828 1.938 7705630000 82.68 74.59 73.82 73.67 103.72 121.98 112.43 123.29 122.06 140.86 149.34 107.13 -HK.00698 ͨＯ 0.101 0.087 0.082 0.082 0.082 0.083 0.073 0.074 0.081 0.113 0.115 9735610000 9.83 8.47 7.98 7.98 7.98 8.08 7.11 7.20 7.89 11.00 11.20 8.61 -HK.00700 Ѷع 427.929 404.043 407.49 382.016 459.15 510.057 460.721 506.015 509.733 521.959 569.885 9171050000 39245.58 37054.99 37371.11 35034.88 42108.88 46777.58 42252.95 46406.89 46747.87 47869.12 52264.44 43012.21 -HK.00701 0.298 0.272 0.238 0.233 0.226 0.235 0.222 0.219 0.211 0.21 0.216 1903690000 5.67 5.18 4.53 4.44 4.30 4.47 4.23 4.17 4.02 4.00 4.11 4.47 -HK.00703 Ѿ 0.159 0.152 0.143 0.14 0.133 0.128 0.126 0.127 0.168 0.166 0.17 694302000 1.10 1.06 0.99 0.97 0.92 0.89 0.87 0.88 1.17 1.15 1.18 1.02 -HK.00704 ͼοع 0.098 0.094 0.087 0.078 0.081 0.085 0.085 0.082 0.098 0.11 0.132 290373000 0.28 0.27 0.25 0.23 0.24 0.25 0.25 0.24 0.28 0.32 0.38 0.27 -HK.00709 ū 1.597 1.601 1.603 1.492 1.452 1.436 1.334 1.42 1.394 1.457 1.505 1616280000 25.81 25.88 25.91 24.11 23.47 23.21 21.56 22.95 22.53 23.55 24.33 23.94 -HK.00710 5.593 5.54 6.104 6.447 7.152 6.634 5.038 5.594 6.45 6.277 6.678 791575000 44.27 43.85 48.32 51.03 56.61 52.51 39.88 44.28 51.06 49.69 52.86 48.58 -HK.00711 ϻع 0.453 0.452 0.443 0.441 0.458 0.449 0.451 0.441 0.433 0.43 0.432 1857140000 8.41 8.39 8.23 8.19 8.51 8.34 8.38 8.19 8.04 7.99 8.02 8.24 -HK.00712 ķ̫ 0.126 0.13 0.103 0.093 0.088 0.079 0.067 0.074 0.075 0.1 0.1 1059920000 1.34 1.38 1.09 0.99 0.93 0.84 0.71 0.78 0.79 1.06 1.06 1.00 -HK.00713 () 0.442 0.496 0.606 0.572 0.56 0.568 0.476 0.51 0.5 0.496 0.484 792117000 3.50 3.93 4.80 4.53 4.44 4.50 3.77 4.04 3.96 3.93 3.83 4.11 -HK.00716 ʤʨ 0.655 0.642 0.629 0.627 0.664 0.646 0.561 0.62 0.654 0.687 0.705 2382210000 15.60 15.29 14.98 14.94 15.82 15.39 13.36 14.77 15.58 16.37 16.79 15.35 -HK.00717 Ӣʱ 0.062 0.056 0.055 0.053 0.065 0.069 0.055 0.067 0.093 0.099 0.094 6740850000 4.18 3.77 3.71 3.57 4.38 4.65 3.71 4.52 6.27 6.67 6.34 4.71 -HK.00718 ̫Ϳع 0.069 0.049 0.038 0.033 0.031 0.028 0.027 0.028 0.032 0.043 0.048 5250020000 3.62 2.57 2.00 1.73 1.63 1.47 1.42 1.47 1.68 2.26 2.52 2.03 -HK.00719 ɽ»ҩɷ 5.955 5.657 5.553 5.411 5.458 5.493 5.246 5.573 6.091 7.977 7.97 195000000 11.61 11.03 10.83 10.55 10.64 10.71 10.23 10.87 11.88 15.56 15.54 11.77 -HK.00720 ع 0.182 0.194 0.182 0.184 0.212 0.198 0.174 0.183 0.168 0.159 0.14 6092520000 11.09 11.82 11.09 11.21 12.92 12.06 10.60 11.15 10.24 9.69 8.53 10.94 -HK.00721 йڹ 0.059 0.056 0.057 0.06 10971600000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 6.47 6.14 6.25 6.58 2.31 -HK.00722 ҽ 0.419 0.39 0.395 0.4 0.402 0.423 0.401 0.419 0.453 0.478 0.485 810955000 3.40 3.16 3.20 3.24 3.26 3.43 3.25 3.40 3.67 3.88 3.93 3.44 -HK.00723 űع 0.26 0.234 0.302 0.311 0.307 0.276 0.241 0.188 0.201 0.41 0.307 1093840000 2.84 2.56 3.30 3.40 3.36 3.02 2.64 2.06 2.20 4.48 3.36 3.02 -HK.00725 㶼 0.48 0.501 0.57 0.551 0.554 0.527 0.549 0.61 0.656 0.627 0.628 198958000 0.95 1.00 1.13 1.10 1.10 1.05 1.09 1.21 1.31 1.25 1.25 1.13 -HK.00726 Ƽ 0.13 0.122 0.116 0.07 0.068 0.069 0.061 0.065 0.063 0.075 0.066 3101100000 4.03 3.78 3.60 2.17 2.11 2.14 1.89 2.02 1.95 2.33 2.05 2.55 -HK.00727 ʹڻ 1.822 2.398 2.426 1.702 1.574 1.239 1.002 1.03 1.367 1.397 1.263 317961000 5.79 7.62 7.71 5.41 5.00 3.94 3.19 3.27 4.35 4.44 4.02 4.98 -HK.00728 й 4.545 4.343 4.652 4.659 5.608 5.822 5.616 5.614 5.7 5.698 6.155 13877400000 630.73 602.70 645.58 646.55 778.24 807.94 779.35 779.08 791.01 790.73 854.15 736.92 -HK.00730 ׻ݲҵ 0.144 0.124 0.113 0.105 0.106 0.117 0.114 0.113 0.111 0.122 0.125 3953940000 5.69 4.90 4.47 4.15 4.19 4.63 4.51 4.47 4.39 4.82 4.94 4.65 -HK.00731 ʤ 0.144 0.219 0.229 0.232 0.237 0.225 0.208 0.19 0.19 0.196 0.193 1414600000 2.04 3.10 3.24 3.28 3.35 3.18 2.94 2.69 2.69 2.77 2.73 2.91 -HK.00732 1.04 0.967 1.079 1.153 1.205 1.09 0.915 0.982 1.02 1.179 1.196 3064960000 31.88 29.64 33.07 35.34 36.93 33.41 28.04 30.10 31.26 36.14 36.66 32.95 -HK.00733 ϸԻ 0.769 0.736 0.535 0.437 0.475 0.438 0.39 0.382 0.364 0.37 0.358 674150000 5.18 4.96 3.61 2.95 3.20 2.95 2.63 2.58 2.45 2.49 2.41 3.22 -HK.00736 йҵͶ 0.182 0.172 0.195 0.172 0.137 0.119 0.109 0.146 0.148 0.194 0.198 267167000 0.49 0.46 0.52 0.46 0.37 0.32 0.29 0.39 0.40 0.52 0.53 0.43 -HK.00737 չ 1.843 1.789 1.757 1.753 1.793 1.766 1.696 1.759 1.768 1.838 1.857 3081690000 56.80 55.13 54.15 54.02 55.25 54.42 52.27 54.21 54.48 56.64 57.23 54.96 -HK.00738 ˹ 0.351 0.295 0.264 0.273 0.278 0.286 0.264 0.285 0.234 0.236 0.243 705895000 2.48 2.08 1.86 1.93 1.96 2.02 1.86 2.01 1.65 1.67 1.72 1.93 -HK.00743 ˮ(й) 2.448 2.287 2.32 2.217 2.322 2.508 2.317 2.381 2.32 2.561 2.853 1566850000 38.36 35.83 36.35 34.74 36.38 39.30 36.30 37.31 36.35 40.13 44.70 37.80 -HK.00745 йĻҵ 0.121 0.113 0.113 0.106 0.14 0.144 0.141 0.172 0.179 0.603 0.624 234366000 0.28 0.26 0.26 0.25 0.33 0.34 0.33 0.40 0.42 1.41 1.46 0.52 -HK.00746 Ļ 3.687 3.57 3.567 3.634 3.901 3.875 3.48 3.511 3.684 4.184 4.645 825000000 30.42 29.45 29.43 29.98 32.18 31.97 28.71 28.97 30.39 34.52 38.32 31.30 -HK.00747 ÷չɷ 0.053 0.052 0.057 0.065 0.062 0.051 0.044 0.041 0.043 0.056 0.066 605376000 0.32 0.31 0.35 0.39 0.38 0.31 0.27 0.25 0.26 0.34 0.40 0.32 -HK.00750 ˮҵԴ 0.378 0.364 0.32 0.3 0.304 0.289 0.257 0.288 0.265 0.278 0.297 2521080000 9.53 9.18 8.07 7.56 7.66 7.29 6.48 7.26 6.68 7.01 7.49 7.65 -HK.00751 ά 3.259 3.022 3.1 2.813 2.727 2.677 2.879 3.024 3.184 3.187 3.206 1892000000 61.66 57.18 58.65 53.22 51.59 50.65 54.47 57.21 60.24 60.30 60.66 56.89 -HK.00752 ʿԶ 1.719 1.626 1.645 1.775 1.948 1.9 1.748 1.999 2.176 2.56 2.531 1262940000 21.71 20.54 20.78 22.42 24.60 24.00 22.08 25.25 27.48 32.33 31.97 24.83 -HK.00753 й 4.054 4.648 5.097 4.875 4.585 5.24 4.663 5.277 5.725 5.576 5.359 4955610000 200.90 230.34 252.59 241.59 227.21 259.67 231.08 261.51 283.71 276.32 265.57 248.23 -HK.00754 չ 3.935 3.454 3.146 2.905 3.003 3.328 2.955 2.942 3.205 3.683 3.737 3792540000 149.24 130.99 119.31 110.17 113.89 126.22 112.07 111.58 121.55 139.68 141.73 125.13 -HK.00755 󷽹 2.3 1.89 1.111 1 1 0.694 0.518 0.578 0.445 0.497 0.458 178552000 4.11 3.37 1.98 1.79 1.79 1.24 0.92 1.03 0.79 0.89 0.82 1.70 -HK.00756 ɭع 0.901 1.05 1.074 0.986 0.883 0.904 0.892 0.812 0.925 0.932 0.778 340558000 3.07 3.58 3.66 3.36 3.01 3.08 3.04 2.77 3.15 3.17 2.65 3.14 -HK.00757 Դ 0.123 0.124 0.104 0.084 0.08 0.07 0.062 0.067 0.068 0.092 0.092 3323770000 4.09 4.12 3.46 2.79 2.66 2.33 2.06 2.23 2.26 3.06 3.06 2.92 -HK.00759 CEC 0.156 0.147 0.136 0.122 0.12 0.119 0.112 0.121 0.122 0.189 0.298 666191000 1.04 0.98 0.91 0.81 0.80 0.79 0.75 0.81 0.81 1.26 1.99 0.99 -HK.00760 ز 0.203 0.224 0.206 0.179 0.163 0.14 0.138 0.176 0.136 0.141 0.135 514657000 1.04 1.15 1.06 0.92 0.84 0.72 0.71 0.91 0.70 0.73 0.69 0.86 -HK.00762 йͨ 6.724 6.393 6.775 6.997 8.437 8.953 8.502 8.983 9.348 9.366 9.97 30598100000 2057.42 1956.14 2073.02 2140.95 2581.56 2739.45 2601.45 2748.63 2860.31 2865.82 3050.63 2515.94 -HK.00763 ͨѶ 20.198 19.217 20.083 24.169 29.047 25.861 21.928 22.725 23.331 25.127 26.041 755503000 152.60 145.19 151.73 182.60 219.45 195.38 165.67 171.69 176.27 189.84 196.74 177.01 -HK.00764 0.709 0.749 0.74 0.689 0.545 0.587 0.49 0.439 0.49 0.574 0.552 381961000 2.71 2.86 2.83 2.63 2.08 2.24 1.87 1.68 1.87 2.19 2.11 2.28 -HK.00765 0.489 0.465 0.469 0.446 0.422 0.42 0.365 0.325 0.348 0.434 0.43 326924000 1.60 1.52 1.53 1.46 1.38 1.37 1.19 1.06 1.14 1.42 1.41 1.37 -HK.00767 лٿѧ 0.239 0.26 0.227 0.176 0.25 0.365 0.392 0.367 0.422 0.508 0.579 636654000 1.52 1.66 1.45 1.12 1.59 2.32 2.50 2.34 2.69 3.23 3.69 2.19 -HK.00768 Ͷ 0.04 0.033 0.031 0.03 0.027 0.028 0.036 0.045 0.049 0.048 0.049 1271730000 0.51 0.42 0.39 0.38 0.34 0.36 0.46 0.57 0.62 0.61 0.62 0.48 -HK.00770 0.13 0.15 0.253 0.371 0.409 0.448 0.412 0.388 0.272 0.401 0.305 12823200 0.02 0.02 0.03 0.05 0.05 0.06 0.05 0.05 0.03 0.05 0.04 0.04 -HK.00771 Զϵͳ 0.657 0.645 0.654 0.642 0.786 0.854 0.734 0.722 0.731 0.962 1.018 833696000 5.48 5.38 5.45 5.35 6.55 7.12 6.12 6.02 6.09 8.02 8.49 6.37 -HK.00772 ļ 29.286 27.043 27.793 24.882 29.245 26.276 25.508 26.668 29.338 30.639 34.437 1021360000 299.12 276.21 283.87 254.13 298.70 268.37 260.53 272.38 299.65 312.93 351.73 288.87 -HK.00775 Ƽ 0.475 0.452 0.418 0.434 0.512 0.546 0.71 0.84 0.879 0.902 0.972 9611070000 45.65 43.44 40.17 41.71 49.21 52.48 68.24 80.73 84.48 86.69 93.42 62.38 -HK.00776 ۹Ƽ 4.24 5.758 4.103 3.465 2.811 2.088 1.756 1.825 1.604 0.942 1.072 373243000 15.83 21.49 15.31 12.93 10.49 7.79 6.55 6.81 5.99 3.52 4.00 10.07 -HK.00777 10.221 9.792 9.692 9.414 10.971 11.391 9.416 9.369 10.04 10.966 11.436 531263000 54.30 52.02 51.49 50.01 58.28 60.52 50.02 49.77 53.34 58.26 60.76 54.43 -HK.00778 øҵ 4.098 3.862 3.821 3.833 3.955 4.148 4.056 4.462 4.67 4.949 5.148 2048400000 83.94 79.11 78.27 78.52 81.01 84.97 83.08 91.40 95.66 101.38 105.45 87.53 -HK.00780 ͬ 18.067 18.194 19.037 18.041 18.106 19.218 20.736 20.875 21.233 21.121 19.828 2341920000 423.11 426.09 445.83 422.51 424.03 450.07 485.62 488.88 497.26 494.64 464.36 456.58 -HK.00784 ع 0.067 0.054 0.056 0.056 0.053 0.054 0.058 0.058 0.059 0.061 0.074 800000000 0.54 0.43 0.45 0.45 0.42 0.43 0.46 0.46 0.47 0.49 0.59 0.47 -HK.00788 й 10.509 9.966 10.521 10.798 11.316 11.009 10.508 11.412 11.503 11.504 11.545 4666390000 490.39 465.05 490.95 503.88 528.05 513.72 490.34 532.53 536.77 536.82 538.73 511.57 -HK.00789 ݼ 0.436 0.38 0.351 0.36 0.349 0.319 0.357 0.37 0.337 0.334 0.329 1323970000 5.77 5.03 4.65 4.77 4.62 4.22 4.73 4.90 4.46 4.42 4.36 4.72 -HK.00794 ʤ(ع) 0.183 0.194 0.199 0.198 0.197 0.186 0.175 0.165 0.166 0.161 0.159 331084000 0.61 0.64 0.66 0.66 0.65 0.62 0.58 0.55 0.55 0.53 0.53 0.60 -HK.00797 ߴ 1.382 1.199 1.141 1.054 0.74 0.402 0.315 0.333 0.646 0.798 0.655 2753200000 38.05 33.01 31.41 29.02 20.37 11.07 8.67 9.17 17.79 21.97 18.03 21.69 -HK.00798 е 0.271 0.259 0.248 0.236 0.244 0.246 0.199 0.196 0.208 0.258 0.249 7512320000 20.36 19.46 18.63 17.73 18.33 18.48 14.95 14.72 15.63 19.38 18.71 17.85 -HK.00799 IGG 4.104 3.799 3.817 3.696 4.143 4.1 3.35 3.638 3.984 4.297 4.881 1157140000 47.49 43.96 44.17 42.77 47.94 47.44 38.76 42.10 46.10 49.72 56.48 46.08 -HK.00804 ʯʱ 0.232 0.222 0.22 0.219 0.196 0.198 0.201 0.128 0.134 0.206 3.067 60910000 0.14 0.14 0.13 0.13 0.12 0.12 0.12 0.08 0.08 0.13 1.87 0.28 -HK.00805 ¼· 1.162 0.934 1.112 1.269 1.383 1.288 1.141 1.135 960000000 0.00 0.00 0.00 11.16 8.97 10.68 12.18 13.28 12.36 10.95 10.90 8.22 -HK.00806 1.947 1.676 1.562 1.413 1.589 1.654 1.364 1.444 1.539 2.088 2.313 1826710000 35.57 30.62 28.53 25.81 29.03 30.21 24.92 26.38 28.11 38.14 42.25 30.87 -HK.00807 Ϻʵҵ 0.894 0.862 0.861 0.846 0.837 0.877 0.874 0.923 0.965 1.048 1.124 2575670000 23.03 22.20 22.18 21.79 21.56 22.59 22.51 23.77 24.86 26.99 28.95 23.68 -HK.00808 ҵ 1.307 1.203 1.177 1.171 1.185 1.26 1.16 1.271 1.336 1.386 1.408 1574000000 20.57 18.94 18.53 18.43 18.65 19.83 18.26 20.01 21.03 21.82 22.16 19.84 -HK.00809 Ƽ 0.069 0.074 0.097 0.098 0.087 0.074 0.069 0.072 0.081 0.092 0.101 8862850000 6.12 6.56 8.60 8.69 7.71 6.56 6.12 6.38 7.18 8.15 8.95 7.36 -HK.00810 й81 0.328 0.217 0.222 0.203 0.18 0.166 0.147 0.138 0.136 0.144 0.145 169707000 0.56 0.37 0.38 0.34 0.31 0.28 0.25 0.23 0.23 0.24 0.25 0.31 -HK.00811 » 9.643 9.025 10.425 10.398 10.059 9.989 10.389 10.594 11.203 11.593 11.99 441937000 42.62 39.88 46.07 45.95 44.45 44.15 45.91 46.82 49.51 51.23 52.99 46.33 -HK.00813 ï 1.593 1.215 1.168 0.91 0.96 1.037 0.803 0.791 0.742 0.816 0.562 7050570000 112.32 85.66 82.35 64.16 67.69 73.11 56.62 55.77 52.32 57.53 39.62 67.92 -HK.00814 ¡ 0.355 0.357 0.33 0.314 0.326 0.324 0.288 0.261 0.256 0.298 0.329 182160000 0.65 0.65 0.60 0.57 0.59 0.59 0.52 0.48 0.47 0.54 0.60 0.57 -HK.00815 й 0.324 0.267 0.248 0.259 0.297 0.325 0.234 0.233 0.446 0.481 0.456 2342130000 7.59 6.25 5.81 6.07 6.96 7.61 5.48 5.46 10.45 11.27 10.68 7.60 -HK.00816 ï 2.928 2.636 2.482 2.382 2.531 2.952 2.675 2.846 2.841 3.09 3.28 904189000 26.47 23.83 22.44 21.54 22.89 26.69 24.19 25.73 25.69 27.94 29.66 25.19 -HK.00817 йï 1.184 1.138 1.056 0.906 1.004 1.197 1.182 1.086 1.119 1.349 1.515 13506000000 159.91 153.70 142.62 122.36 135.60 161.67 159.64 146.68 151.13 182.20 204.62 156.37 -HK.00818 Ƽ 0.43 0.405 0.389 0.305 0.34 0.36 0.328 0.337 0.516 0.51 0.504 2776830000 11.94 11.25 10.80 8.47 9.44 10.00 9.11 9.36 14.33 14.16 14.00 11.17 -HK.00819 ܶ 7.443 6.398 7.543 7.482 7.692 7.589 6.129 6.176 6.125 6.796 6.935 1126120000 83.82 72.05 84.94 84.26 86.62 85.46 69.02 69.55 68.97 76.53 78.10 78.12 -HK.00821 ӯع() 0.461 0.39 0.371 0.331 0.349 0.325 0.291 0.305 0.341 0.401 0.602 247352000 1.14 0.96 0.92 0.82 0.86 0.80 0.72 0.75 0.84 0.99 1.49 0.94 -HK.00822 0.251 0.221 0.209 0.195 0.234 0.273 0.269 0.374 0.381 0.353 0.347 893761000 2.24 1.98 1.87 1.74 2.09 2.44 2.40 3.34 3.41 3.15 3.10 2.52 -HK.00823 չ 35.146 32.981 32.118 30.892 32.914 35.271 33.707 38.859 41.153 42.959 43.202 2587350000 909.35 853.33 831.01 799.28 851.60 912.58 872.12 1005.42 1064.77 1111.50 1117.79 938.98 -HK.00825 ٻй 0.319 0.316 0.298 0.279 0.27 0.313 0.27 0.261 0.261 0.275 0.297 1686140000 5.38 5.33 5.02 4.70 4.55 5.28 4.55 4.40 4.40 4.64 5.01 4.84 -HK.00826 칤 1.871 1.89 1.97 1.758 1.711 1.961 1.979 2.006 1.954 2.078 2.143 2725000000 50.98 51.50 53.68 47.91 46.62 53.44 53.93 54.66 53.25 56.63 58.40 52.82 -HK.00827 Դ 0.054 0.046 0.044 0.039 0.038 0.034 0.031 0.029 0.026 0.025 0.025 6028040000 3.26 2.77 2.65 2.35 2.29 2.05 1.87 1.75 1.57 1.51 1.51 2.14 -HK.00828 ҵ 0.353 0.312 0.41 0.426 0.347 0.315 0.277 0.331 0.307 0.306 0.299 1408410000 4.97 4.39 5.77 6.00 4.89 4.44 3.90 4.66 4.32 4.31 4.21 4.72 -HK.00829 ڿع 0.251 0.243 0.244 0.248 0.263 0.272 0.257 0.265 0.279 0.305 0.301 3230480000 8.11 7.85 7.88 8.01 8.50 8.79 8.30 8.56 9.01 9.85 9.72 8.60 -HK.00830 йҵ 2.027 1.947 1.808 1.838 1.781 1.649 1.519 1.575 1.484 1.492 1.517 2255040000 45.71 43.91 40.77 41.45 40.16 37.19 34.25 35.52 33.46 33.65 34.21 38.21 -HK.00831 0.501 0.452 0.409 0.396 0.338 0.309 0.255 0.257 0.334 0.358 0.357 777417000 3.89 3.51 3.18 3.08 2.63 2.40 1.98 2.00 2.60 2.78 2.78 2.80 -HK.00832 ҵز 0.15 0.137 0.114 0.108 0.097 0.09 0.092 0.105 0.096 0.107 0.101 3039130000 4.56 4.16 3.46 3.28 2.95 2.74 2.80 3.19 2.92 3.25 3.07 3.31 -HK.00833 Ѷ 0.444 0.441 0.421 0.401 0.41 0.444 0.395 0.393 0.458 0.48 0.492 473058000 2.10 2.09 1.99 1.90 1.94 2.10 1.87 1.86 2.17 2.27 2.33 2.06 -HK.00834 ʳƷ 0.174 0.167 0.167 0.176 0.166 0.163 0.145 0.15 0.154 0.178 0.238 452948000 0.79 0.76 0.76 0.80 0.75 0.74 0.66 0.68 0.70 0.81 1.08 0.77 -HK.00836 19.516 17.562 18.128 16.671 16.886 17.856 17.777 19.063 19.611 19.631 19.665 5177060000 1010.36 909.20 938.50 863.07 874.20 924.42 920.33 986.90 1015.27 1016.31 1018.07 952.42 -HK.00837 ̷ľ 5.4 5.328 5.374 5.533 5.763 5.717 5.452 5.665 5.89 5.861 6.03 248714000 13.43 13.25 13.37 13.76 14.33 14.22 13.56 14.09 14.65 14.58 15.00 14.02 -HK.00838 ںͿع 0.696 0.667 0.651 0.599 0.666 0.721 0.744 0.719 0.725 0.737 0.818 1730440000 12.04 11.54 11.27 10.37 11.52 12.48 12.87 12.44 12.55 12.75 14.15 12.18 -HK.00839 н̿ع 4.941 4.118 3.409 3.131 2.908 2.543 2.301 2.524 2.664 2.901 2.838 2800310000 138.36 115.32 95.46 87.68 81.43 71.21 64.44 70.68 74.60 81.24 79.47 87.26 -HK.00840 ҵˮ 0.211 0.221 0.213 0.211 0.21 0.18 0.133 0.146 0.172 0.185 0.216 202400000 0.43 0.45 0.43 0.43 0.43 0.36 0.27 0.30 0.35 0.37 0.44 0.39 -HK.00841 ľԴ 0.154 0.133 0.111 0.095 0.104 0.109 0.087 0.084 0.094 0.089 0.092 584727000 0.90 0.78 0.65 0.56 0.61 0.64 0.51 0.49 0.55 0.52 0.54 0.61 -HK.00842 ʿ 1.571 1.493 1.461 1.454 1.862 2.36 2.079 2.363 2.411 2.257 1.9 1432610000 22.51 21.39 20.93 20.83 26.68 33.81 29.78 33.85 34.54 32.33 27.22 27.62 -HK.00844 ̩ʿع 0.277 0.259 0.254 0.238 0.294 0.261 0.265 0.298 0.352 0.37 0.372 494335000 1.37 1.28 1.26 1.18 1.45 1.29 1.31 1.47 1.74 1.83 1.84 1.46 -HK.00846 0.182 0.154 0.163 0.14 0.118 0.115 0.113 0.111 0.099 0.15 0.153 6093450000 11.09 9.38 9.93 8.53 7.19 7.01 6.89 6.76 6.03 9.14 9.32 8.30 -HK.00848 ïҵ 0.171 0.157 0.143 0.136 0.135 0.151 0.138 0.135 0.133 0.138 0.139 5140330000 8.79 8.07 7.35 6.99 6.94 7.76 7.09 6.94 6.84 7.09 7.15 7.36 -HK.00851 ʢԴع 0.242 0.239 0.237 0.235 0.216 0.209 0.179 0.182 0.195 0.231 0.313 881971000 2.13 2.11 2.09 2.07 1.91 1.84 1.58 1.61 1.72 2.04 2.76 1.99 -HK.00853 ΢ҽ 7.144 6.269 6.271 5.654 7.477 8.219 6.965 6.939 8.207 9.69 13.561 1902900000 135.94 119.29 119.33 107.59 142.28 156.40 132.54 132.04 156.17 184.39 258.05 149.46 -HK.00854 13.95 10.868 102929000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 14.36 11.19 2.32 -HK.00855 йˮ 4.909 4.42 4.768 4.584 5.041 6.084 6.102 5.943 6.242 6.317 6.212 1626710000 79.86 71.90 77.56 74.57 82.00 98.97 99.26 96.68 101.54 102.76 101.05 89.65 -HK.00856 ΰ˼ѽ 4.361 4.601 5.018 4.568 5.638 6.051 5.387 6.316 7.017 8.637 10.168 1430810000 62.40 65.83 71.80 65.36 80.67 86.58 77.08 90.37 100.40 123.58 145.48 88.14 -HK.00857 йʯ͹ɷ 5.926 5.372 5.545 5.849 5.734 5.7 5.446 6.027 6.753 7.206 7.544 21098900000 1250.32 1133.43 1169.93 1234.07 1209.81 1202.64 1149.05 1271.63 1424.81 1520.39 1591.70 1287.07 -HK.00858 ҩҵ 0.049 0.052 0.05 0.05 0.048 0.046 0.048 0.051 0.059 0.1 0.125 2390000000 1.17 1.24 1.20 1.20 1.15 1.10 1.15 1.22 1.41 2.39 2.99 1.47 -HK.00859 вʿع 0.147 0.15 0.149 0.119 0.115 0.11 0.114 0.099 0.098 0.114 0.12 1125030000 1.65 1.69 1.68 1.34 1.29 1.24 1.28 1.11 1.10 1.28 1.35 1.37 -HK.00860 APOLLO 0.596 0.499 0.476 0.486 0.525 0.511 0.743 0.918 0.889 0.783 0.743 1022440000 6.09 5.10 4.87 4.97 5.37 5.22 7.60 9.39 9.09 8.01 7.60 6.66 -HK.00861 ݿع 2.806 3.089 3.467 3.019 3.302 2.959 2.487 2.651 3.171 3.075 3.066 1673610000 46.96 51.70 58.02 50.53 55.26 49.52 41.62 44.37 53.07 51.46 51.31 50.35 -HK.00862 Զع 0.031 0.026 0.023 0.025 0.027 0.029 0.036 0.031 0.036 0.035 0.038 3924190000 1.22 1.02 0.90 0.98 1.06 1.14 1.41 1.22 1.41 1.37 1.49 1.20 -HK.00863 OSL 5.587 7.36 8.004 8.068 9.67 8.73 10.414 11.715 12.819 17.256 15.793 737491000 41.20 54.28 59.03 59.50 71.32 64.38 76.80 86.40 94.54 127.26 116.47 77.38 -HK.00864 زչ 0.176 0.184 0.184 0.184 0.19 0.19 0.173 0.17 0.17 0.168 0.152 386176000 0.68 0.71 0.71 0.71 0.73 0.73 0.67 0.66 0.66 0.65 0.59 0.68 -HK.00865 ¹ʿع 0.021 0.018 0.017 0.017 0.018 0.021 0.022 0.033 0.039 0.042 0.038 5837990000 1.23 1.05 0.99 0.99 1.05 1.23 1.28 1.93 2.28 2.45 2.22 1.52 -HK.00866 йط 1.376 1.404 1.255 1.308 1.139 0.887 0.961 1.173 1.425 1.827 2.106 2537410000 34.91 35.63 31.84 33.19 28.90 22.51 24.38 29.76 36.16 46.36 53.44 34.28 -HK.00867 ҩҵ 8.62 7.609 7.475 7.005 7.677 7.812 7.717 9.013 11.344 12.891 13.296 2439530000 210.29 185.62 182.35 170.89 187.28 190.58 188.26 219.87 276.74 314.48 324.36 222.79 -HK.00868 岣 8.914 8.391 7.863 7.048 7.3 7.717 7.013 7.441 7.615 8.399 8.301 4397420000 391.99 368.99 345.77 309.93 321.01 339.35 308.39 327.21 334.86 369.34 365.03 343.81 -HK.00869 0.623 0.589 0.562 0.551 0.528 0.57 0.541 0.53 0.548 0.547 0.592 1180000000 7.35 6.95 6.63 6.50 6.23 6.73 6.38 6.25 6.47 6.45 6.99 6.63 -HK.00871 й迣 0.142 0.15 0.176 0.178 0.169 0.156 0.139 0.094 0.088 0.075 0.073 1503880000 2.14 2.26 2.65 2.68 2.54 2.35 2.09 1.41 1.32 1.13 1.10 1.97 -HK.00873 ï 1.106 0.944 0.903 0.869 0.852 0.957 0.807 0.805 0.765 0.801 0.781 2468170000 27.30 23.30 22.29 21.45 21.03 23.62 19.92 19.87 18.88 19.77 19.28 21.52 -HK.00874 ɽ 19.058 17.897 17.714 16.97 17.434 17.361 16.326 16.79 17.39 18.032 18.123 219900000 41.91 39.36 38.95 37.32 38.34 38.18 35.90 36.92 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-HK.01023 ʱſع 0.578 0.561 0.495 0.521 0.523 0.506 0.476 0.505 0.505 0.503 0.515 965430000 5.58 5.42 4.78 5.03 5.05 4.89 4.60 4.88 4.88 4.86 4.97 4.99 -HK.01024 -W 49.81 49.643 45.505 40.589 50.93 59.902 50.637 51.61 58.424 68.818 76.492 4316030000 2149.81 2142.61 1964.01 1751.83 2198.15 2585.39 2185.51 2227.50 2521.60 2970.21 3301.42 2363.46 -HK.01025 տع 0.376 0.315 0.305 0.299 0.325 0.406 0.388 0.279 0.272 0.286 0.296 202184000 0.76 0.64 0.62 0.60 0.66 0.82 0.78 0.56 0.55 0.58 0.60 0.65 -HK.01026 ʵҵƼ 0.139 0.125 0.109 0.116 0.102 0.126 0.127 0.17 0.18 0.169 0.144 5513000000 7.66 6.89 6.01 6.40 5.62 6.95 7.00 9.37 9.92 9.32 7.94 7.55 -HK.01027 йɿع 0.574 0.65 0.865 0.811 0.793 0.875 0.947 0.995 0.986 1.127 1.268 412550000 2.37 2.68 3.57 3.35 3.27 3.61 3.91 4.10 4.07 4.65 5.23 3.71 -HK.01028 ǧٶ 0.282 0.259 0.242 0.183 0.178 0.258 0.244 0.252 0.233 0.222 0.206 2077000000 5.86 5.38 5.03 3.80 3.70 5.36 5.07 5.23 4.84 4.61 4.28 4.83 -HK.01029 0.985 0.869 0.85 0.87 0.88 0.905 0.807 0.715 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0.251 770650000 2.24 2.81 2.12 1.96 1.69 1.53 1.53 1.51 1.83 1.83 1.93 1.91 -HK.01112 H&Hʿع 10.336 9.795 9.211 8.324 8.663 9.674 9.004 11.27 12.331 11.364 12.073 645561000 66.73 63.23 59.46 53.74 55.92 62.45 58.13 72.75 79.60 73.36 77.94 65.76 -HK.01113 ʵ 32.148 30.633 30.368 30.555 31.775 32.305 29.258 31.508 33.61 35.623 36.877 3499780000 1125.11 1072.09 1062.81 1069.36 1112.06 1130.60 1023.97 1102.71 1176.28 1246.73 1290.61 1128.39 -HK.01114 й 1.743 1.848 2.374 2.652 2.955 2.787 2.617 3.006 3.077 3.143 3.416 5045270000 87.94 93.24 119.77 133.80 149.09 140.61 132.03 151.66 155.24 158.57 172.35 135.85 -HK.01115 ˮԴ 0.339 0.34 0.342 0.351 0.349 0.332 0.306 0.294 0.298 0.39 0.48 4699950000 15.93 15.98 16.07 16.50 16.40 15.60 14.38 13.82 14.01 18.33 22.56 16.33 -HK.01116 ԴͬƼ 0.389 0.35 0.296 0.299 2158000000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 8.39 7.55 6.39 6.45 2.62 -HK.01117 ִҵ 0.863 0.835 0.873 0.848 0.995 1.126 1.051 1.026 1.087 1.174 1.265 7915660000 68.31 66.10 69.10 67.12 78.76 89.13 83.19 81.21 86.04 92.93 100.13 80.19 -HK.01118 0.837 0.809 0.821 0.795 0.785 0.785 0.813 0.87 0.94 1.003 1.011 574378000 4.81 4.65 4.72 4.57 4.51 4.51 4.67 5.00 5.40 5.76 5.81 4.94 -HK.01119 2.25 2.435 2.577 1.707 1.619 1.119 0.845 0.797 0.783 0.928 1.14 1804800000 40.61 43.95 46.51 30.81 29.22 20.20 15.25 14.38 14.13 16.75 20.57 26.58 -HK.01120 ӹѧ 0.791 0.822 0.897 1.418 1.337 1.286 1.023 1.12 1.079 1.089 1.012 386263000 3.06 3.18 3.46 5.48 5.16 4.97 3.95 4.33 4.17 4.21 3.91 4.17 -HK.01121 Դ 2.67 2.171 2.272 2.107 1.858 2.039 1.83 1.562 1.566 1.492 1.46 1813270000 48.41 39.37 41.20 38.21 33.69 36.97 33.18 28.32 28.40 27.05 26.47 34.66 -HK.01122 ɷ 0.541 0.491 0.541 0.5 0.51 0.547 0.464 0.602 0.695 0.809 0.805 1238650000 6.70 6.08 6.70 6.19 6.32 6.78 5.75 7.46 8.61 10.02 9.97 7.32 -HK.01123 и 0.125 0.117 0.113 0.113 0.114 0.115 0.111 0.117 0.118 0.114 0.117 1185320000 1.48 1.39 1.34 1.34 1.35 1.36 1.32 1.39 1.40 1.35 1.39 1.37 -HK.01124 غ԰ 0.268 0.191 0.153 0.156 0.153 0.143 0.14 0.14 0.141 0.147 0.151 414602000 1.11 0.79 0.63 0.65 0.63 0.59 0.58 0.58 0.58 0.61 0.63 0.67 -HK.01125 ع 1.446 1.322 1.223 1.076 1.125 1.147 1.072 1.078 1.12 1.026 0.953 331033000 4.79 4.38 4.05 3.56 3.72 3.80 3.55 3.57 3.71 3.40 3.15 3.79 -HK.01126 ֹ 4.311 4.39 4.609 4.775 5.237 5.679 5.057 5.893 8.764 13.225 14.158 676865000 29.18 29.71 31.20 32.32 35.45 38.44 34.23 39.89 59.32 89.52 95.83 46.83 -HK.01127 ʨɽ 1.277 1.267 1.199 1.225 1.183 1.206 1.301 1.339 1.385 1.395 1.425 770000000 9.83 9.76 9.23 9.43 9.11 9.29 10.02 10.31 10.66 10.74 10.97 9.94 -HK.01128 6.282 5.612 5.524 5.285 5.124 5.443 4.919 5.292 5.233 6.422 6.393 5256710000 330.23 295.01 290.38 277.82 269.35 286.12 258.58 278.19 275.08 337.59 336.06 294.04 -HK.01129 йˮҵ 0.522 0.449 0.397 0.344 0.278 0.275 0.291 0.269 0.244 0.237 0.318 632194000 3.30 2.84 2.51 2.17 1.76 1.74 1.84 1.70 1.54 1.50 2.01 2.08 -HK.01130 йԴ 0.217 0.222 0.217 0.217 0.388 0.643 0.719 0.691 0.618 0.582 0.585 488769000 1.06 1.09 1.06 1.06 1.90 3.14 3.51 3.38 3.02 2.84 2.86 2.27 -HK.01132 κ 0.047 0.043 0.041 0.039 0.04 0.042 0.034 0.035 0.042 0.049 0.056 2799670000 1.32 1.20 1.15 1.09 1.12 1.18 0.95 0.98 1.18 1.37 1.57 1.19 -HK.01133 2.421 2.338 2.283 2.367 3.117 3.742 4.147 4.868 5.692 6.669 7.488 675571000 16.36 15.79 15.42 15.99 21.06 25.28 28.02 32.89 38.45 45.05 50.59 27.72 -HK.01134 㷢ѧ 0.263 0.249 0.249 0.276 0.257 0.231 0.193 0.179 0.185 0.187 0.191 500000000 1.32 1.25 1.25 1.38 1.29 1.16 0.97 0.90 0.93 0.94 0.96 1.12 -HK.01137 ۿƼ̽ 1.187 1.08 1.106 0.945 0.89 0.933 1.375 1.714 1.595 1.63 1.58 791474000 9.39 8.55 8.75 7.48 7.04 7.38 10.88 13.57 12.62 12.90 12.51 10.10 -HK.01138 Զ 8.071 6.392 5.888 6.811 6.976 6.325 5.553 5.907 6.298 6.52 6.598 1296000000 104.60 82.84 76.31 88.27 90.41 81.97 71.97 76.55 81.62 84.50 85.51 84.05 -HK.01140 Ͷ 0.098 0.094 0.091 0.088 0.086 0.079 0.077 0.078 0.093 0.093 0.093 10520300000 10.31 9.89 9.57 9.26 9.05 8.31 8.10 8.21 9.78 9.78 9.78 9.28 -HK.01141 ʱ 0.463 0.437 0.503 0.484 0.422 0.333 0.288 0.291 0.397 0.648 0.691 1099260000 5.09 4.80 5.53 5.32 4.64 3.66 3.17 3.20 4.36 7.12 7.60 4.95 -HK.01142 Դ-ǧ 0.638 0.501 0.663 0.511 0.495 0.53 0.846 0.97 2.477 4.452 4.44 6843660000 43.66 34.29 45.37 34.97 33.88 36.27 57.90 66.38 169.52 304.68 303.86 102.80 -HK.01143 йܿƼչ 1.715 0.364 0.328 0.304 0.327 0.311 0.289 0.291 0.355 0.408 0.441 224289000 3.85 0.82 0.74 0.68 0.73 0.70 0.65 0.65 0.80 0.92 0.99 1.05 -HK.01145 Ͷ 0.137 0.148 0.112 0.113 0.135 0.19 0.19 0.182 0.187 0.177 0.168 1097700000 1.50 1.62 1.23 1.24 1.48 2.09 2.09 2.00 2.05 1.94 1.84 1.74 -HK.01146 ɹʿع 0.065 0.066 0.07 0.074 0.088 0.08 0.061 0.062 0.067 0.072 0.075 3445450000 2.24 2.27 2.41 2.55 3.03 2.76 2.10 2.14 2.31 2.48 2.58 2.44 -HK.01147 0.074 0.072 0.071 0.069 0.074 0.104 0.089 0.105 0.118 0.135 0.157 2044950000 1.51 1.47 1.45 1.41 1.51 2.13 1.82 2.15 2.41 2.76 3.21 1.99 -HK.01148 ³ 0.195 0.184 0.175 0.164 0.18 0.189 0.162 0.17 0.184 0.205 0.231 1282210000 2.50 2.36 2.24 2.10 2.31 2.42 2.08 2.18 2.36 2.63 2.96 2.38 -HK.01150 վ 0.129 0.166 0.16 0.165 0.113 0.106 0.11 0.096 0.117 0.156 0.13 1056940000 1.36 1.75 1.69 1.74 1.19 1.12 1.16 1.01 1.24 1.65 1.37 1.39 -HK.01152 Ǭڿع 0.087 0.086 0.118 0.098 0.227 982000000 0.85 0.00 0.00 0.84 1.16 0.96 0.00 0.00 0.00 0.00 2.23 0.55 -HK.01153 Դ 0.38 0.421 0.413 0.379 0.303 0.362 0.484 0.468 0.49 611709000 0.00 0.00 2.32 2.58 2.53 2.32 1.85 2.21 2.96 2.86 3.00 2.06 -HK.01156 CHINANEWENERGY 0.112 0.12 0.113 0.111 0.115 0.116 0.116 0.11 0.1 0.099 0.109 589759000 0.66 0.71 0.67 0.65 0.68 0.68 0.68 0.65 0.59 0.58 0.64 0.65 -HK.01157 ؿ 4.833 4.979 5.195 5.287 5.241 5.928 5.133 5.465 5.7 6.122 6.505 1552510000 75.03 77.30 80.65 82.08 81.37 92.03 79.69 84.84 88.49 95.04 100.99 85.23 -HK.01159 Ƽ 0.931 1.264 1.252 1.019 0.828 0.556 0.506 1.423 3.002 3.397 3.913 141856000 1.32 1.79 1.78 1.45 1.17 0.79 0.72 2.02 4.26 4.82 5.55 2.33 -HK.01160 ʯʱ 0.214 0.204 0.146 0.14 0.14 0.14 0.14 0.139 0.139 0.191 0.316 237271000 0.51 0.48 0.35 0.33 0.33 0.33 0.33 0.33 0.33 0.45 0.75 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788625000 15.24 13.28 10.81 10.58 14.08 24.43 26.92 34.72 39.60 48.35 62.25 27.30 -HK.01168 ˴ع 2.633 2.347 2.417 2.655 2.882 4.366 3.396 3.818 5.911 8.779 8.645 436347000 11.49 10.24 10.55 11.59 12.58 19.05 14.82 16.66 25.79 38.31 37.72 18.98 -HK.01170 Ǽ 0.698 0.644 0.579 0.612 0.785 0.81 0.715 0.623 0.61 0.596 0.554 671607000 4.69 4.33 3.89 4.11 5.27 5.44 4.80 4.18 4.10 4.00 3.72 4.41 -HK.01171 Դ 9.914 9.064 8.475 7.609 7.474 7.937 7.347 8.211 8.122 8.619 9.407 4075500000 404.05 369.40 345.40 310.10 304.60 323.47 299.43 334.64 331.01 351.27 383.38 341.52 -HK.01172 ̫ 0.026 0.024 0.022 0.02 0.018 0.015 0.014 0.017 0.031 0.027 0.026 5779200000 1.50 1.39 1.27 1.16 1.04 0.87 0.81 0.98 1.79 1.56 1.50 1.26 -HK.01173 ߹ 0.039 0.033 0.031 0.03 0.032 0.029 0.025 0.026 0.024 0.024 0.024 2518000000 0.98 0.83 0.78 0.76 0.81 0.73 0.63 0.65 0.60 0.60 0.60 0.73 -HK.01176 ع 0.147 0.12 0.099 0.086 0.082 0.078 0.067 0.069 0.07 0.072 0.066 8850630000 13.01 10.62 8.76 7.61 7.26 6.90 5.93 6.11 6.20 6.37 5.84 7.69 -HK.01177 йҩ 3.677 3.333 3.227 2.885 3.131 3.47 3.685 4.028 4.958 6.427 7.508 18760700000 689.83 625.29 605.41 541.25 587.40 651.00 691.33 755.68 930.16 1205.75 1408.55 790.15 -HK.01179 ס-S 29.553 26.975 25.129 23.875 26.156 28.306 26.818 28.343 26.926 25.993 25.172 3069390000 907.10 827.97 771.31 732.82 802.83 868.82 823.15 869.96 826.46 797.83 772.63 818.26 -HK.01180 ʿع 0.803 0.871 0.872 0.76 1.161 2.146 1.59 1.75 1.105 0.944 0.979 1052190000 8.45 9.16 9.18 8.00 12.22 22.58 16.73 18.41 11.63 9.93 10.30 12.42 -HK.01181 ƹй 0.251 0.237 0.213 0.205 0.206 0.184 0.168 0.162 0.168 0.184 0.188 1076030000 2.70 2.55 2.29 2.21 2.22 1.98 1.81 1.74 1.81 1.98 2.02 2.12 -HK.01182 ʤ 0.299 0.243 0.304 0.419 0.454 0.516 0.59 0.581 0.535 0.501 0.49 340815000 1.02 0.83 1.04 1.43 1.55 1.76 2.01 1.98 1.82 1.71 1.67 1.53 -HK.01183 ܽ 0.211 0.19 0.179 0.165 0.163 0.152 0.13 0.118 0.113 0.153 0.176 3980720000 8.40 7.56 7.13 6.57 6.49 6.05 5.17 4.70 4.50 6.09 7.01 6.33 -HK.01184 ʱݼ 4.017 3.905 3.909 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1.79 1.79 1.79 1.79 1.92 1.96 -HK.01216 ԭ 0.383 0.306 0.29 0.287 0.292 0.306 0.31 0.322 0.352 0.394 0.357 6945000000 26.60 21.25 20.14 19.93 20.28 21.25 21.53 22.36 24.45 27.36 24.79 22.72 -HK.01217 йͶ 0.013 0.011 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.011 0.013 12801600000 1.66 1.41 1.28 1.28 1.28 1.28 1.28 1.28 1.28 1.41 1.66 1.37 -HK.01218 2.032 1.967 1.89 1.731 1.648 1.73 2.058 2.053 2.22 1.71 1.583 73988400 1.50 1.46 1.40 1.28 1.22 1.28 1.52 1.52 1.64 1.27 1.17 1.39 -HK.01221 ź;Ƶ 1.407 1.371 1.363 1.4 1.381 1.403 1.347 1.385 1.402 1.423 1.498 1176920000 16.56 16.14 16.04 16.48 16.25 16.51 15.85 16.30 16.50 16.75 17.63 16.46 -HK.01222 갲 0.023 0.019 0.021 0.021 0.021 0.021 0.023 0.022 0.022 0.023 0.024 14166700000 3.26 2.69 2.98 2.98 2.98 2.98 3.26 3.12 3.12 3.26 3.40 3.09 -HK.01223 㼯 0.817 0.803 0.798 0.804 0.809 0.798 0.813 0.805 0.798 0.879 1.038 2974230000 24.30 23.88 23.73 23.91 24.06 23.73 24.18 23.94 23.73 26.14 30.87 24.77 -HK.01224 õ 1.258 1.192 1.169 1.152 1.169 1.287 1.2 1.205 1.205 1.2 1.2 3882330000 48.84 46.28 45.38 44.72 45.38 49.97 46.59 46.78 46.78 46.59 46.59 46.72 -HK.01225 ¡ɽ 0.16 0.17 0.16 0.141 0.137 0.142 0.131 0.197 0.239 0.238 0.224 230322000 0.37 0.39 0.37 0.32 0.32 0.33 0.30 0.45 0.55 0.55 0.52 0.41 -HK.01226 йͶ 0.549 0.521 0.81 0.939 0.678 0.521 0.508 0.849 1.013 1.125 1.045 412597000 2.27 2.15 3.34 3.87 2.80 2.15 2.10 3.50 4.18 4.64 4.31 3.21 -HK.01228 -B 0.304 0.199 0.145 0.125 0.146 0.159 0.15 0.137 0.262 0.714 1.459 424838000 1.29 0.85 0.62 0.53 0.62 0.68 0.64 0.58 1.11 3.03 6.20 1.47 -HK.01229 Դ 0.173 0.167 0.156 0.148 0.149 0.145 0.168 0.262 0.261 0.25 0.247 765374000 1.32 1.28 1.19 1.13 1.14 1.11 1.29 2.01 2.00 1.91 1.89 1.48 -HK.01231 ¿Դ 0.369 0.322 0.296 0.292 0.281 0.256 0.262 0.248 0.225 0.239 0.226 4000000000 14.76 12.88 11.84 11.68 11.24 10.24 10.48 9.92 9.00 9.56 9.04 10.97 -HK.01232 ؿع 0.708 0.65 0.538 0.591 0.676 0.673 0.522 0.421 0.51 0.771 0.743 179902000 1.27 1.17 0.97 1.06 1.22 1.21 0.94 0.76 0.92 1.39 1.34 1.11 -HK.01233 ʱйع 0.464 0.39 0.377 0.355 0.308 0.28 0.234 0.215 0.191 0.201 0.19 2101820000 9.75 8.20 7.92 7.46 6.47 5.89 4.92 4.52 4.01 4.22 3.99 6.12 -HK.01234 й 4.002 3.7 3.747 3.751 3.875 3.833 3.526 3.625 3.639 3.793 3.751 1197480000 47.92 44.31 44.87 44.92 46.40 45.90 42.22 43.41 43.58 45.42 44.92 44.90 -HK.01235 רҵ 0.163 0.181 0.163 0.143 0.146 0.151 0.142 0.155 0.152 0.159 0.16 509859000 0.83 0.92 0.83 0.73 0.74 0.77 0.72 0.79 0.77 0.81 0.82 0.79 -HK.01237 п 0.322 0.305 0.294 0.324 0.296 0.314 0.338 0.381 0.39 0.545 1.103 96037100 0.31 0.29 0.28 0.31 0.28 0.30 0.32 0.37 0.37 0.52 1.06 0.40 -HK.01238 ز 0.673 0.59 0.521 0.453 0.468 0.444 0.329 0.333 0.308 0.351 0.352 4140400000 27.86 24.43 21.57 18.76 19.38 18.38 13.62 13.79 12.75 14.53 14.57 18.15 -HK.01239 TEAMWAY INTL GP 0.159 0.165 0.164 0.16 0.162 0.138 0.163 0.222 0.227 0.145 0.181 394562000 0.63 0.65 0.65 0.63 0.64 0.54 0.64 0.88 0.90 0.57 0.71 0.68 -HK.01240 ཨ 0.132 0.123 0.133 0.186 0.184 0.171 0.164 0.151 0.158 0.179 0.219 1518320000 2.00 1.87 2.02 2.82 2.79 2.60 2.49 2.29 2.40 2.72 3.33 2.48 -HK.01241 ˫ع 0.065 0.075 0.109 0.109 0.099 0.096 0.129 0.131 0.104 0.121 0.145 650000000 0.42 0.49 0.71 0.71 0.64 0.62 0.84 0.85 0.68 0.79 0.94 0.70 -HK.01243 갲ز 0.044 0.039 0.038 0.036 0.036 0.035 0.034 0.033 0.034 0.033 0.036 15200000000 6.69 5.93 5.78 5.47 5.47 5.32 5.17 5.02 5.17 5.02 5.47 5.50 -HK.01244 ˼·ҽҩɷ 2.883 2.058 2.768 3.236 2.967 3.544 3.588 3.543 4.158 5.547 7.912 258177000 7.44 5.31 7.15 8.35 7.66 9.15 9.26 9.15 10.73 14.32 20.43 9.91 -HK.01245 NIRAKU 0.176 0.203 0.215 0.195 0.213 0.175 0.161 0.173 0.187 0.201 0.202 1195850000 2.10 2.43 2.57 2.33 2.55 2.09 1.93 2.07 2.24 2.40 2.42 2.28 -HK.01247 ׸ʿع 1.903 1.852 1.813 1.769 1.67 1.646 1.606 1.628 1.812 1.796 1.976 219846000 4.18 4.07 3.99 3.89 3.67 3.62 3.53 3.58 3.98 3.95 4.34 3.89 -HK.01250 ɽԴ 1.592 1.662 1.74 1.764 1.751 1.701 1.579 1.551 1.594 1.841 2.425 2246590000 35.77 37.34 39.09 39.63 39.34 38.21 35.47 34.84 35.81 41.36 54.48 39.21 -HK.01251 Դ 0.161 0.147 0.133 0.118 0.104 0.084 0.168 0.25 0.253 1953920000 3.15 2.87 2.60 2.31 2.03 1.64 0.00 0.00 3.28 4.88 4.94 2.52 -HK.01252 йˮ 0.416 0.288 0.319 0.288 0.293 0.29 0.288 3083280000 0.00 0.00 12.83 8.88 9.84 8.88 0.00 0.00 9.03 8.94 8.88 6.12 -HK.01253 й̵ز 0.035 0.027 0.026 0.028 0.023 0.016 0.016 0.015 0.013 0.016 0.018 6041160000 2.11 1.63 1.57 1.69 1.39 0.97 0.97 0.91 0.79 0.97 1.09 1.28 -HK.01257 йɫ 0.812 0.787 0.893 0.798 0.748 0.748 0.705 0.767 0.789 0.873 0.92 2066080000 16.78 16.26 18.45 16.49 15.45 15.45 14.57 15.85 16.30 18.04 19.01 16.60 -HK.01258 йɫҵ 5.561 4.993 4.856 4.877 4.84 5.201 4.578 5.207 6.44 7.595 7.907 3902040000 216.99 194.83 189.48 190.30 188.86 202.95 178.64 203.18 251.29 296.36 308.53 220.13 -HK.01259 δչع 0.059 0.05 0.053 0.049 0.063 0.067 0.028 0.021 0.023 0.024 0.03 2203360000 1.30 1.10 1.17 1.08 1.39 1.48 0.62 0.46 0.51 0.53 0.66 0.94 -HK.01260 ƾ 0.228 0.218 0.244 0.257 0.302 0.338 0.287 0.358 0.427 0.408 0.411 1151450000 2.63 2.51 2.81 2.96 3.48 3.89 3.30 4.12 4.92 4.70 4.73 3.64 -HK.01262 СʳƷ 1.857 1.815 1.724 1.649 1.497 1.462 1.347 1.415 2.274 2.02 1.996 218416000 4.06 3.96 3.77 3.60 3.27 3.19 2.94 3.09 4.97 4.41 4.36 3.78 -HK.01263 ܼ 4.516 4.669 4.702 5.161 6.74 10.434 7.032 7.341 6.713 7.332 7.328 387884000 17.52 18.11 18.24 20.02 26.14 40.47 27.28 28.47 26.04 28.44 28.42 25.38 -HK.01265 ȼ 0.203 0.202 0.191 0.188 0.186 0.182 0.173 0.174 0.194 0.208 0.226 500060000 1.02 1.01 0.96 0.94 0.93 0.91 0.87 0.87 0.97 1.04 1.13 0.97 -HK.01268 2.443 2.358 2.198 2.07 2.156 2.337 1.975 2.086 2.156 2.169 2.091 1346250000 32.89 31.74 29.59 27.87 29.03 31.46 26.59 28.08 29.03 29.20 28.15 29.42 -HK.01269 ׿ؼ 0.081 0.066 0.057 0.054 0.049 0.038 0.032 0.038 0.043 0.04 0.054 1848000000 1.50 1.22 1.05 1.00 0.91 0.70 0.59 0.70 0.79 0.74 1.00 0.93 -HK.01270 ͢-SS 0.53 0.492 0.465 0.437 0.452 0.459 0.436 0.463 0.495 0.585 0.58 3444140000 18.25 16.95 16.02 15.05 15.57 15.81 15.02 15.95 17.05 20.15 19.98 16.89 -HK.01271 ſع 3.063 3.021 2.949 2.534 2.262 2.043 1.975 1.999 2.185 1.478 1.283 1420220000 43.50 42.90 41.88 35.99 32.13 29.02 28.05 28.39 31.03 20.99 18.22 32.01 -HK.01272 ƻ 0.816 0.87 0.832 0.83 0.888 1.088 1.047 1.095 1.09 1.225 1.241 624296000 5.09 5.43 5.19 5.18 5.54 6.79 6.54 6.84 6.80 7.65 7.75 6.26 -HK.01273 Ŵ 0.322 0.326 0.33 0.339 0.347 0.365 0.341 0.362 0.39 0.415 0.437 415000000 1.34 1.35 1.37 1.41 1.44 1.51 1.42 1.50 1.62 1.72 1.81 1.50 -HK.01274 ֪пƼ 24.883 21.813 18.108 14.775 22.128 21.279 13.465 14.999 13.585 15.533 14.205 257443000 64.06 56.16 46.62 38.04 56.97 54.78 34.66 38.61 34.97 39.99 36.57 45.58 -HK.01276 ҽҩ 56.125 57.345 70.505 79.127 258198000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 144.91 148.06 182.04 204.30 61.76 -HK.01277 չ 1.526 1.373 1.285 1.164 1.111 1.135 1.12 1.149 1.143 1.265 1.219 8430000000 128.64 115.74 108.33 98.13 93.66 95.68 94.42 96.86 96.35 106.64 102.76 103.38 -HK.01278 й³ 0.077 0.064 0.058 0.059 0.06 0.058 0.064 0.073 0.085 0.13 0.115 9726250000 7.49 6.22 5.64 5.74 5.84 5.64 6.22 7.10 8.27 12.64 11.19 7.45 -HK.01280 2.586 2.327 2.479 3.05 2.674 2.815 3.698 3.695 3.407 3.825 4.418 1812060000 46.86 42.17 44.92 55.27 48.45 51.01 67.01 66.96 61.74 69.31 80.06 57.61 -HK.01281 δͶʿع 0.139 0.148 0.15 0.17 0.14 0.127 0.117 0.112 0.11 0.11 0.118 1484600000 2.06 2.20 2.23 2.52 2.08 1.89 1.74 1.66 1.63 1.63 1.75 1.94 -HK.01282 0.148 0.12 0.119 0.103 0.101 0.094 0.088 0.108 0.113 0.155 0.166 2680000000 3.97 3.22 3.19 2.76 2.71 2.52 2.36 2.89 3.03 4.15 4.45 3.20 -HK.01283 ꅼſع 0.898 0.908 0.931 0.883 0.92 0.87 0.862 0.975 1.209 1.41 1.625 810827000 7.28 7.36 7.55 7.16 7.46 7.05 6.99 7.91 9.80 11.43 13.18 8.47 -HK.01284 ´ 0.36 0.327 0.336 0.303 0.29 0.274 0.265 0.274 0.304 0.288 0.307 600000000 2.16 1.96 2.02 1.82 1.74 1.64 1.59 1.64 1.82 1.73 1.84 1.82 -HK.01285 ʿ 1.028 1.148 1.058 0.999 0.93 0.9 0.889 0.915 0.98 1.018 1.051 415000000 4.27 4.76 4.39 4.15 3.86 3.74 3.69 3.80 4.07 4.22 4.36 4.12 -HK.01286 ӥվ 2.136 2.002 1.913 1.964 2.13 2.949 2.415 2.57 2.63 3.151 3.647 1887290000 40.31 37.78 36.10 37.07 40.20 55.66 45.58 48.50 49.64 59.47 68.83 47.19 -HK.01288 ũҵ 3.614 3.656 3.932 4.087 4.326 4.719 4.42 4.813 5.366 5.405 5.378 30738800000 1110.90 1123.81 1208.65 1256.29 1329.76 1450.56 1358.65 1479.46 1649.44 1661.43 1653.13 1389.28 -HK.01289 ʢƼ 1.293 1.156 1.174 1.165 1.345 1.688 1.3 1.667 1.88 2.148 2.211 32000000 0.41 0.37 0.38 0.37 0.43 0.54 0.42 0.53 0.60 0.69 0.71 0.50 -HK.01290 й 0.862 0.829 0.779 0.721 0.584 0.58 0.598 0.622 0.693 0.649 0.615 1090340000 9.40 9.04 8.49 7.86 6.37 6.32 6.52 6.78 7.56 7.08 6.71 7.47 -HK.01292 2.066 2.027 2.102 2.142 2.448 2.641 2.445 2.56 2.754 2.961 3.218 129845000 2.68 2.63 2.73 2.78 3.18 3.43 3.17 3.32 3.58 3.84 4.18 3.23 -HK.01298 ܹ 0.784 0.776 0.775 0.834 0.789 0.751 0.703 0.7 0.7 0.91 1 275437000 2.16 2.14 2.13 2.30 2.17 2.07 1.94 1.93 1.93 2.51 2.75 2.18 -HK.01299 Ѱ 63.623 57.626 55.343 52.811 54.11 60.033 53.243 62.804 68.752 70.264 74.115 10504400000 6683.21 6053.27 5813.45 5547.48 5683.93 6306.11 5592.86 6597.18 7221.99 7380.81 7785.34 6424.15 -HK.01300 ֪ 0.319 0.296 0.298 0.309 0.326 0.327 0.297 0.308 0.32 0.323 0.324 1791500000 5.71 5.30 5.34 5.54 5.84 5.86 5.32 5.52 5.73 5.79 5.80 5.61 -HK.01301 »Ƽع 0.637 0.684 0.755 0.745 0.82 0.659 0.648 0.764 0.732 0.705 0.643 626984000 3.99 4.29 4.73 4.67 5.14 4.13 4.06 4.79 4.59 4.42 4.03 4.44 -HK.01302 ȽƼ 1.627 1.555 1.497 1.324 1.475 1.614 1.446 1.58 1.807 1.872 2.113 4631710000 75.36 72.02 69.34 61.32 68.32 74.76 66.97 73.18 83.69 86.71 97.87 75.41 -HK.01303 Դ 0.415 0.337 0.332 0.332 0.27 0.275 0.28 0.288 0.263 0.253 0.297 2103140000 8.73 7.09 6.98 6.98 5.68 5.78 5.89 6.06 5.53 5.32 6.25 6.39 -HK.01305 ΰ־ع 0.87 0.933 0.897 0.87 0.81 0.794 0.706 0.734 0.793 0.804 0.854 219725000 1.91 2.05 1.97 1.91 1.78 1.74 1.55 1.61 1.74 1.77 1.88 1.81 -HK.01308 19.643 20.11 18.991 18.145 16.52 18.161 18.077 22.96 25.279 24.8 26.884 2699990000 530.36 542.97 512.76 489.91 446.04 490.35 488.08 619.92 682.53 669.60 725.87 563.49 -HK.01310 ۿƵ 2.941 3.807 4.919 5.052 4.965 5.031 4.947 4.949 4.966 5.001 5.052 1478920000 43.50 56.30 72.75 74.72 73.43 74.40 73.16 73.19 73.44 73.96 74.72 69.42 -HK.01312 ؿ̩ 0.037 0.032 0.031 0.03 0.031 0.027 0.025 0.029 0.028 0.03 0.032 5588570000 2.07 1.79 1.73 1.68 1.73 1.51 1.40 1.62 1.56 1.68 1.79 1.69 -HK.01313 󽨲ĿƼ 1.986 1.924 1.669 1.465 1.512 1.737 1.703 1.64 1.646 1.926 1.925 6982940000 138.68 134.35 116.55 102.30 105.58 121.29 118.92 114.52 114.94 134.49 134.42 121.46 -HK.01314 仪ع 0.251 0.242 0.239 0.23 0.232 0.23 0.207 0.212 0.214 0.194 0.195 1411230000 3.54 3.42 3.37 3.25 3.27 3.25 2.92 2.99 3.02 2.74 2.75 3.14 -HK.01315 ɫ 0.114 0.117 0.119 0.113 0.11 0.101 0.102 0.104 0.123 0.136 0.157 621876000 0.71 0.73 0.74 0.70 0.68 0.63 0.63 0.65 0.76 0.85 0.98 0.73 -HK.01316 2.974 2.949 3.245 3.133 4.882 5.297 4.304 5.71 5.476 5.967 6.277 2509820000 74.64 74.01 81.44 78.63 122.53 132.95 108.02 143.31 137.44 149.76 157.54 114.57 -HK.01317 Ҷ 0.249 0.249 0.275 0.287 0.299 0.316 0.313 0.359 0.333 0.36 0.39 2932100000 7.30 7.30 8.06 8.42 8.77 9.27 9.18 10.53 9.76 10.56 11.44 9.14 -HK.01318 ëƽ 55.86 61.245 72.102 98.419 100.766 106.025 110.271 101.991 99.427 261842000 0.00 0.00 146.26 160.37 188.79 257.70 263.85 277.62 288.74 267.06 260.34 191.88 -HK.01319 ѺҵŴ 0.205 0.206 0.214 0.221 0.217 0.216 0.203 0.192 0.191 0.202 0.225 1924310000 3.94 3.96 4.12 4.25 4.18 4.16 3.91 3.69 3.68 3.89 4.33 4.01 -HK.01321 й³ 0.84 0.799 0.745 0.783 0.729 0.652 0.691 0.802 0.635 0.638 1.035 1844020000 15.49 14.73 13.74 14.44 13.44 12.02 12.74 14.79 11.71 11.76 19.09 14.00 -HK.01323 ʢʿع 0.142 0.237 0.234 0.203 0.139 0.152 0.17 0.169 0.167 0.165 0.157 755655000 1.07 1.79 1.77 1.53 1.05 1.15 1.28 1.28 1.26 1.25 1.19 1.33 -HK.01326 0.043 0.036 0.04 0.034 0.033 0.032 0.043 0.043 0.04 0.041 0.043 2595610000 1.12 0.93 1.04 0.88 0.86 0.83 1.12 1.12 1.04 1.06 1.12 1.01 -HK.01327 ʱ 0.241 0.223 0.221 0.228 0.197 0.165 0.159 0.213 0.278 0.523 0.698 215654000 0.52 0.48 0.48 0.49 0.42 0.36 0.34 0.46 0.60 1.13 1.51 0.62 -HK.01328 ӿͶ 3.274 3.121 2.925 2.634 3.013 2.69 1.997 1.684 1.584 9.399 9.648 256480000 8.40 8.00 7.50 6.76 7.73 6.90 5.12 4.32 4.06 24.11 24.75 9.79 -HK.01330 ɫ 3.089 2.961 3.233 3.128 3.039 3.069 3.728 4.239 4.515 5.09 5.182 404360000 12.49 11.97 13.07 12.65 12.29 12.41 15.07 17.14 18.26 20.58 20.95 15.17 -HK.01332 ͸ 0.16 0.167 0.185 0.197 0.181 0.178 0.174 0.124 0.087 0.094 0.092 2805950000 4.49 4.69 5.19 5.53 5.08 4.99 4.88 3.48 2.44 2.64 2.58 4.18 -HK.01333 ׶ 28.756 33.214 31.209 33.308 241242000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 69.37 80.13 75.29 80.35 27.74 -HK.01334 ʿع 0.855 0.839 0.988 0.863 0.918 0.895 0.895 0.927 0.992 0.985 1.033 500000000 4.28 4.20 4.94 4.32 4.59 4.48 4.48 4.64 4.96 4.93 5.17 4.63 -HK.01335 ˳̩ع 0.168 0.151 0.177 0.226 0.189 0.132 0.139 0.152 0.13 0.122 0.124 2434140000 4.09 3.68 4.31 5.50 4.60 3.21 3.38 3.70 3.16 2.97 3.02 3.78 -HK.01336 » 24.295 22.958 22.258 20.744 23.54 26.325 25.941 29.32 36.432 45.071 49.281 1034110000 251.24 237.41 230.17 214.52 243.43 272.23 268.26 303.20 376.75 466.08 509.62 306.63 -HK.01338 0.057 0.054 0.051 0.047 0.044 0.045 0.046 0.054 0.051 0.051 0.051 3162440000 1.80 1.71 1.61 1.49 1.39 1.42 1.45 1.71 1.61 1.61 1.61 1.58 -HK.01339 йռ 3.829 3.721 3.659 3.614 3.867 4.072 4.088 4.969 5.506 5.86 6.323 8726230000 334.13 324.70 319.29 315.37 337.44 355.33 356.73 433.61 480.47 511.36 551.76 392.74 -HK.01340 0.041 0.046 0.038 0.035 0.033 0.035 0.034 0.036 0.039 0.038 0.046 922838000 0.38 0.42 0.35 0.32 0.30 0.32 0.31 0.33 0.36 0.35 0.42 0.35 -HK.01341 ʽͶ 0.437 0.522 0.645 0.816 0.84 0.841 0.519 0.444 0.42 0.28 0.207 9046150000 39.53 47.22 58.35 73.82 75.99 76.08 46.95 40.16 37.99 25.33 18.73 49.10 -HK.01343 ΰԴع 0.079 0.074 0.075 0.081 0.078 0.078 0.072 0.075 0.077 0.072 0.074 1064000000 0.84 0.79 0.80 0.86 0.83 0.83 0.77 0.80 0.82 0.77 0.79 0.81 -HK.01345 Ϻȷع 1.988 1.998 2.274 2.278 2.263 2.176 2.185 2.142 2.148 2.188 2.176 1257450000 25.00 25.12 28.59 28.64 28.46 27.36 27.48 26.93 27.01 27.51 27.36 27.22 -HK.01346 عɼ 0.7 0.775 0.788 0.861 1.1 1.228 1.089 1.146 1.203 1.387 1.482 639100000 4.47 4.95 5.04 5.50 7.03 7.85 6.96 7.32 7.69 8.86 9.47 6.83 -HK.01347 뵼 23.5 21.5 20.915 22.146 31.38 35.593 33.337 32.225 32.221 36.87 45.241 1321730000 310.61 284.17 276.44 292.71 414.76 470.44 440.63 425.93 425.87 487.32 597.96 402.44 -HK.01348 ︻ع 0.059 0.055 0.054 0.043 0.035 0.066 0.066 0.07 0.071 0.071 0.072 1474230000 0.87 0.81 0.80 0.63 0.52 0.97 0.97 1.03 1.05 1.05 1.06 0.89 -HK.01349 Ž 2.867 2.683 2.546 2.257 2.477 2.594 2.366 2.642 3.129 3.895 4.077 326000000 9.35 8.75 8.30 7.36 8.08 8.46 7.71 8.61 10.20 12.70 13.29 9.35 -HK.01351 Ի 0.324 0.238 0.201 0.192 0.205 0.196 0.19 0.229 0.314 0.336 0.345 600000000 1.94 1.43 1.21 1.15 1.23 1.18 1.14 1.37 1.88 2.02 2.07 1.51 -HK.01354 ҵ 17.283 26.529 30.525 26.111 23.508 22.998 25.8 27.183 19.324 6.957 5.915 16666800 2.88 4.42 5.09 4.35 3.92 3.83 4.30 4.53 3.22 1.16 0.99 3.52 -HK.01355 ^F 0.149 0.136 0.132 0.139 0.135 0.113 0.079 0.091 0.102 0.111 0.122 994225000 1.48 1.35 1.31 1.38 1.34 1.12 0.79 0.90 1.01 1.10 1.21 1.18 -HK.01357 ͼ˾ 2.599 2.786 2.934 2.864 5.178 5.525 4.842 5.929 7.586 10.14 10.968 4566180000 118.68 127.21 133.97 130.78 236.44 252.28 221.09 270.73 346.39 463.01 500.82 254.67 -HK.01358 ջ˳ 1.002 0.982 0.959 0.904 0.891 0.939 0.949 0.991 1.095 1.411 1.414 1482320000 14.85 14.56 14.22 13.40 13.21 13.92 14.07 14.69 16.23 20.92 20.96 15.55 -HK.01359 йŴ 1.408 1.35 1.251 1.12 1.179 1.171 0.962 1.011 1.129 1.443 1.497 13567600000 191.03 183.16 169.73 151.96 159.96 158.88 130.52 137.17 153.18 195.78 203.11 166.77 -HK.01361 361 4.079 3.815 4.1 3.936 3.921 4.42 4.151 4.32 4.617 5.325 6.232 2067680000 84.34 78.88 84.77 81.38 81.07 91.39 85.83 89.32 95.46 110.10 128.86 91.95 -HK.01362 ƶ 0.337 0.349 0.327 0.335 0.35 0.34 0.32 0.342 0.353 0.364 0.368 280000000 0.94 0.98 0.92 0.94 0.98 0.95 0.90 0.96 0.99 1.02 1.03 0.96 -HK.01364 10.265 14.829 19.256 25.92 25.374 25.725 23.476 2378190000 0.00 0.00 0.00 0.00 244.12 352.66 457.94 616.43 603.44 611.79 558.30 313.15 -HK.01368 ز 5.824 5.309 5.557 5.58 5.402 5.252 4.861 5.669 5.645 5.527 5.796 2782490000 162.05 147.72 154.62 155.26 150.31 146.14 135.26 157.74 157.07 153.79 161.27 152.84 -HK.01370 ع 0.492 0.491 0.535 0.814 1.037 0.775 0.464 0.401 0.309 0.285 0.291 1635330000 8.05 8.03 8.75 13.31 16.96 12.67 7.59 6.56 5.05 4.66 4.76 8.76 -HK.01371 й̬ 0.266 0.203 0.168 0.152 0.136 0.261 0.235 0.188 0.399 0.398 0.342 154422000 0.41 0.31 0.26 0.23 0.21 0.40 0.36 0.29 0.62 0.61 0.53 0.39 -HK.01372 й̼к 0.312 0.267 0.288 0.279 0.282 0.299 0.288 1.042 1.747 1.635 1.225 642960000 2.01 1.72 1.85 1.79 1.81 1.92 1.85 6.70 11.23 10.51 7.88 4.48 -HK.01373 ʼҾ 1.054 1.004 0.99 1.014 1.063 0.991 0.942 0.93 0.927 0.89 0.867 721203000 7.60 7.24 7.14 7.31 7.67 7.15 6.79 6.71 6.69 6.42 6.25 7.00 -HK.01375 ֤ȯ 2.107 1.817 1.747 1.563 1.649 1.638 1.437 1.493 1.634 2.523 2.782 1195360000 25.19 21.72 20.88 18.68 19.71 19.58 17.18 17.85 19.53 30.16 33.25 22.16 -HK.01378 й 11.636 11.273 10.725 11.019 11.67 13.96 12.586 13.868 15.797 19.445 22.207 9494420000 1104.77 1070.31 1018.28 1046.19 1108.00 1325.42 1194.97 1316.69 1499.83 1846.19 2108.43 1330.82 -HK.01379 빤о 1.992 1.936 1.627 1.587 1.608 1.84 1.97 2.232 2.2 2.247 2.64 20000000 0.40 0.39 0.33 0.32 0.32 0.37 0.39 0.45 0.44 0.45 0.53 0.40 -HK.01380 йʯ 0.168 0.148 0.167 0.156 0.157 0.145 0.129 0.118 0.16 0.173 0.169 370298000 0.62 0.55 0.62 0.58 0.58 0.54 0.48 0.44 0.59 0.64 0.63 0.57 -HK.01382 ̫֯ 1.589 1.48 1.475 1.543 1.478 1.503 1.26 1.283 1.31 1.424 1.435 1391620000 22.11 20.60 20.53 21.47 20.57 20.92 17.53 17.85 18.23 19.82 19.97 19.96 -HK.01385 Ϻ 17.099 15.321 15.237 14.433 19.045 27.037 26.076 26.953 29.08 28.023 31.412 284330000 48.62 43.56 43.32 41.04 54.15 76.87 74.14 76.64 82.68 79.68 89.31 64.55 -HK.01388 򷼿ع 0.354 0.385 0.347 0.364 0.451 0.473 0.403 0.421 0.426 0.43 0.453 422417000 1.50 1.63 1.47 1.54 1.91 2.00 1.70 1.78 1.80 1.82 1.91 1.73 -HK.01389 ݻع 0.228 0.218 0.247 0.272 0.319 0.312 0.361 0.359 0.339 0.313 0.364 554333000 1.26 1.21 1.37 1.51 1.77 1.73 2.00 1.99 1.88 1.74 2.02 1.68 -HK.01393 㶦ʵҵ 0.085 0.071 0.061 0.06 0.063 0.056 0.052 0.059 0.063 0.065 0.07 4605260000 3.91 3.27 2.81 2.76 2.90 2.58 2.39 2.72 2.90 2.99 3.22 2.95 -HK.01395 ǿ̩ 0.158 0.168 0.157 0.154 0.128 0.123 0.125 0.139 0.143 0.149 0.149 1107300000 1.75 1.86 1.74 1.71 1.42 1.36 1.38 1.54 1.58 1.65 1.65 1.60 -HK.01396 ع 0.319 0.226 0.18 0.225 0.372 0.718 1.575 2.173 3.65 3.747 4.002 814103000 2.60 1.84 1.47 1.83 3.03 5.85 12.82 17.69 29.71 30.50 32.58 12.72 -HK.01397 ɫ 0.612 0.606 0.597 0.612 0.625 0.605 0.589 0.611 0.651 0.7 0.851 415000000 2.54 2.51 2.48 2.54 2.59 2.51 2.44 2.54 2.70 2.91 3.53 2.66 -HK.01398 4.391 4.355 4.541 4.81 5.351 5.407 5.143 5.397 5.919 6.136 6.069 86794000000 3811.12 3779.88 3941.32 4174.79 4644.35 4692.95 4463.82 4684.27 5137.34 5325.68 5267.53 4538.46 -HK.01399 ſع 0.192 0.19 0.197 0.18 0.197 0.195 0.181 0.187 0.191 0.193 0.19 1090000000 2.09 2.07 2.15 1.96 2.15 2.13 1.97 2.04 2.08 2.10 2.07 2.07 -HK.01400 ؿƼɷ 0.047 0.016 0.015 0.017 0.018 0.017 0.016 0.017 0.019 0.02 0.019 3801770000 1.79 0.61 0.57 0.65 0.68 0.65 0.61 0.65 0.72 0.76 0.72 0.76 -HK.01401 δ޹˾ 4.536 6.056 1.072 1.178 1.087 1.354 1.099 1.082 0.945 0.775 0.987 1500000000 68.04 90.84 16.08 17.67 16.31 20.31 16.49 16.23 14.18 11.63 14.81 27.51 -HK.01402 ܿع 0.289 0.287 0.236 0.23 0.248 0.246 0.207 0.195 0.184 0.231 0.282 1050500000 3.04 3.01 2.48 2.42 2.61 2.58 2.17 2.05 1.93 2.43 2.96 2.52 -HK.01405 ƹɷ 71.464 72.695 80.003 75.758 86.553 104.01 97.871 96.298 95.612 93.539 84.785 130936000 93.57 95.18 104.75 99.19 113.33 136.19 128.15 126.09 125.19 122.48 111.01 114.10 -HK.01407 ȼ 0.381 0.344 0.36 0.357 0.357 0.341 0.335 0.34 0.381 0.5 0.592 440000000 1.68 1.51 1.58 1.57 1.57 1.50 1.47 1.50 1.68 2.20 2.60 1.72 -HK.01408 婽 0.145 0.138 0.142 0.129 0.139 0.145 0.145 0.148 0.152 0.146 0.17 500000000 0.73 0.69 0.71 0.65 0.70 0.73 0.73 0.74 0.76 0.73 0.85 0.73 -HK.01410 0.197 0.208 0.234 0.211 0.213 0.218 0.223 0.213 0.208 0.219 0.232 1004220000 1.98 2.09 2.35 2.12 2.14 2.19 2.24 2.14 2.09 2.20 2.33 2.17 -HK.01412 ˼ 1.004 1.023 1.017 1.066 1.153 1.225 1.126 1.186 1.35 1.495 1.63 532000000 5.34 5.44 5.41 5.67 6.13 6.52 5.99 6.31 7.18 7.95 8.67 6.42 -HK.01413 ۿع 0.134 0.15 0.143 0.122 0.089 0.072 0.073 0.074 0.072 0.069 0.069 1200000000 1.61 1.80 1.72 1.46 1.07 0.86 0.88 0.89 0.86 0.83 0.83 1.16 -HK.01415 ΰ 22.524 25.1 27.863 27.026 29.315 29.679 21.887 22.85 25.133 28.514 29.375 863705000 194.54 216.79 240.65 233.42 253.20 256.34 189.04 197.36 217.07 246.28 253.71 227.13 -HK.01416 CTR HOLDINGS 0.066 0.052 0.049 0.049 0.052 0.054 0.06 0.072 0.076 0.083 0.091 1400000000 0.92 0.73 0.69 0.69 0.73 0.76 0.84 1.01 1.06 1.16 1.27 0.90 -HK.01417 ֽй 0.235 0.185 0.176 0.195 0.206 0.22 0.195 0.232 0.227 0.22 0.223 405000000 0.95 0.75 0.71 0.79 0.83 0.89 0.79 0.94 0.92 0.89 0.90 0.85 -HK.01418 ʢŵ 0.207 0.217 0.234 0.245 0.336 0.345 0.26 0.278 0.289 0.301 0.271 1750000000 3.62 3.80 4.10 4.29 5.88 6.04 4.55 4.87 5.06 5.27 4.74 4.75 -HK.01419 ӯҽ 0.801 0.774 0.783 0.781 0.76 0.793 0.765 0.805 0.817 0.868 1.076 379552000 3.04 2.94 2.97 2.96 2.88 3.01 2.90 3.06 3.10 3.29 4.08 3.11 -HK.01420 ع 0.098 0.108 0.111 0.093 0.096 0.118 0.122 0.105 0.126 0.15 0.156 1263430000 1.24 1.36 1.40 1.17 1.21 1.49 1.54 1.33 1.59 1.90 1.97 1.47 -HK.01421 Ź 0.318 0.255 0.234 0.225 0.22 0.221 0.206 0.279 0.474 0.534 0.535 166830000 0.53 0.43 0.39 0.38 0.37 0.37 0.34 0.47 0.79 0.89 0.89 0.53 -HK.01425 ¡ع 0.54 0.56 0.613 0.642 0.687 0.708 0.66 0.669 0.682 0.711 0.663 1250000000 6.75 7.00 7.66 8.03 8.59 8.85 8.25 8.36 8.53 8.89 8.29 8.11 -HK.01426 Ȫҵ 1.937 1.847 1.812 1.784 1.784 1.787 1.724 1.702 1.689 1.713 1.725 1468500000 28.44 27.12 26.61 26.20 26.20 26.24 25.32 24.99 24.80 25.16 25.33 26.04 -HK.01427 й챣 0.204 0.249 0.265 0.234 0.255 0.237 0.193 0.179 0.189 0.23 0.245 877936000 1.79 2.19 2.33 2.05 2.24 2.08 1.69 1.57 1.66 2.02 2.15 1.98 -HK.01428 ҫ֤ȯ 2.435 2.272 2.242 2.223 2.569 2.826 3.354 6.767 7.781 13.497 12.488 1697300000 41.33 38.56 38.05 37.73 43.60 47.97 56.93 114.86 132.07 229.08 211.96 90.19 -HK.01429 μ 0.034 0.028 0.027 0.027 0.029 0.03 0.033 0.042 0.056 0.045 0.041 1600000000 0.54 0.45 0.43 0.43 0.46 0.48 0.53 0.67 0.90 0.72 0.66 0.57 -HK.01431 ԭ̬ҵ 0.168 0.165 0.156 0.15 0.178 0.253 0.236 0.242 0.275 0.298 0.373 4690500000 7.88 7.74 7.32 7.04 8.35 11.87 11.07 11.35 12.90 13.98 17.50 10.63 -HK.01432 йʥ 0.184 0.177 0.171 0.162 0.184 0.197 0.18 0.184 0.256 0.293 0.404 8381300000 15.42 14.83 14.33 13.58 15.42 16.51 15.09 15.42 21.46 24.56 33.86 18.23 -HK.01433 ع 0.044 0.04 0.038 0.051 0.069 0.081 0.073 0.077 0.075 0.092 0.109 1989540000 0.88 0.80 0.76 1.01 1.37 1.61 1.45 1.53 1.49 1.83 2.17 1.35 -HK.01440 Ӧǿع 11.061 14.501 5.79 5.831 5.082 5.161 4.761 5.641 7.659 8.315 9.383 1260000000 139.37 182.71 72.95 73.47 64.03 65.03 59.99 71.08 96.50 104.77 118.23 95.28 -HK.01442 ӥ 0.222 0.269 0.305 0.337 0.37 0.383 0.346 0.344 0.336 0.33 0.339 2064000000 4.58 5.55 6.30 6.96 7.64 7.91 7.14 7.10 6.94 6.81 7.00 6.72 -HK.01443 ټſع 0.143 0.132 0.123 0.121 0.12 0.111 0.088 0.073 0.067 0.063 0.064 1300000000 1.86 1.72 1.60 1.57 1.56 1.44 1.14 0.95 0.87 0.82 0.83 1.31 -HK.01446 踣 0.159 0.175 0.177 0.183 0.224 0.281 0.277 0.374 0.404 0.412 0.418 655944000 1.04 1.15 1.16 1.20 1.47 1.84 1.82 2.45 2.65 2.70 2.74 1.84 -HK.01447 ¸ 0.475 0.543 0.585 0.527 0.486 0.534 0.541 0.546 0.575 0.562 0.565 400000000 1.90 2.17 2.34 2.11 1.94 2.14 2.16 2.18 2.30 2.25 2.26 2.16 -HK.01448 ԰ 3.66 3.523 3.503 3.513 3.867 3.82 3.358 3.369 3.557 3.696 3.414 2319860000 84.91 81.73 81.26 81.50 89.71 88.62 77.90 78.16 82.52 85.74 79.20 82.84 -HK.01449 ½ 0.283 0.27 0.267 0.277 0.262 0.26 0.257 0.25 0.25 0.257 0.27 666667000 1.89 1.80 1.78 1.85 1.75 1.73 1.71 1.67 1.67 1.71 1.80 1.76 -HK.01450 ѿع 1.155 0.974 0.971 0.947 0.966 0.998 0.843 0.893 0.925 1.15 1.044 1384650000 15.99 13.49 13.44 13.11 13.38 13.82 11.67 12.36 12.81 15.92 14.46 13.68 -HK.01451 ɼŹɷ 0.687 0.667 0.612 0.64 0.894 1.056 0.883 0.862 0.919 0.965 0.975 202200000 1.39 1.35 1.24 1.29 1.81 2.14 1.79 1.74 1.86 1.95 1.97 1.68 -HK.01452 ŵ˹ 0.095 0.083 0.068 0.071 0.058 0.073 0.076 0.082 0.084 0.094 0.104 592844000 0.56 0.49 0.40 0.42 0.34 0.43 0.45 0.49 0.50 0.56 0.62 0.48 -HK.01455 ʵҵع 0.128 0.127 0.122 0.129 0.125 0.124 0.125 0.143 0.156 0.241 0.233 1278560000 1.64 1.62 1.56 1.65 1.60 1.59 1.60 1.83 1.99 3.08 2.98 1.92 -HK.01456 4.739 4.422 4.54 3.907 3.982 3.898 3.428 3.584 3.888 5.419 6.308 442640000 20.98 19.57 20.10 17.29 17.63 17.25 15.17 15.86 17.21 23.99 27.92 19.36 -HK.01458 ܺѼ 1.688 1.621 1.672 1.551 1.765 1.787 2.261 2.582 2.497 2.484 2.715 2159710000 36.46 35.01 36.11 33.50 38.12 38.59 48.83 55.76 53.93 53.65 58.64 44.42 -HK.01459 ޽ 0.363 0.345 0.347 0.328 0.343 0.342 0.378 0.389 0.329 0.355 0.388 133360000 0.48 0.46 0.46 0.44 0.46 0.46 0.50 0.52 0.44 0.47 0.52 0.47 -HK.01460 Ƽ 0.159 0.149 0.169 0.19 0.197 0.232 0.225 0.222 0.232 0.298 0.335 877590000 1.40 1.31 1.48 1.67 1.73 2.04 1.97 1.95 2.04 2.62 2.94 1.92 -HK.01461 ̩ڻ 0.651 0.604 0.578 0.549 0.505 0.519 0.504 0.498 0.57 0.77 0.802 277090000 1.80 1.67 1.60 1.52 1.40 1.44 1.40 1.38 1.58 2.13 2.22 1.65 -HK.01463 C-LINK SQ 0.545 0.458 0.367 0.257 0.254 0.22 0.223 0.226 0.229 0.24 0.244 2874250000 15.66 13.16 10.55 7.39 7.30 6.32 6.41 6.50 6.58 6.90 7.01 8.53 -HK.01466 ۽ѧ 0.55 0.518 0.589 0.562 0.512 0.574 0.676 0.693 0.692 0.69 0.668 772391000 4.25 4.00 4.55 4.34 3.95 4.43 5.22 5.35 5.34 5.33 5.16 4.72 -HK.01468 ڹ 0.861 0.74 0.71 0.693 0.645 0.271 0.175 0.218 0.234 0.266 0.243 1736800000 14.95 12.85 12.33 12.04 11.20 4.71 3.04 3.79 4.06 4.62 4.22 7.98 -HK.01470 һʿع 0.058 0.058 0.06 0.051 0.05 0.051 0.045 0.047 0.051 0.066 0.155 800000000 0.46 0.46 0.48 0.41 0.40 0.41 0.36 0.38 0.41 0.53 1.24 0.50 -HK.01471 ع 6.278 7.744 10.768 11.147 12.474 15.29 15.664 15.205 13.769 14.55 14.635 35300000 2.22 2.73 3.80 3.93 4.40 5.40 5.53 5.37 4.86 5.14 5.17 4.41 -HK.01472 ˿ع 0.055 0.05 0.05 0.044 0.044 0.045 0.052 0.055 0.062 0.061 0.06 1000000000 0.55 0.50 0.50 0.44 0.44 0.45 0.52 0.55 0.62 0.61 0.60 0.53 -HK.01473 Ѷ 0.209 0.2 0.182 0.166 0.155 0.159 0.159 0.154 0.149 0.194 0.375 1172000000 2.45 2.34 2.13 1.95 1.82 1.86 1.86 1.80 1.75 2.27 4.40 2.24 -HK.01475 ʳƷ 4.219 4.509 5.326 5.645 5.301 5.713 6.106 6.648 6.873 6.804 6.898 1043690000 44.03 47.06 55.59 58.92 55.33 59.63 63.73 69.38 71.73 71.01 71.99 60.76 -HK.01476 Ͷ֤ȯ 1.891 1.796 1.881 1.914 1.822 1.841 1.53 1.778 1.815 1.939 1.948 450846000 8.53 8.10 8.48 8.63 8.21 8.30 6.90 8.02 8.18 8.74 8.78 8.26 -HK.01477 ŷά-B 6.159 5.332 4.808 4.039 4.338 4.865 5.022 6.189 9.646 9.435 10.579 815364000 50.22 43.48 39.20 32.93 35.37 39.67 40.95 50.46 78.65 76.93 86.26 52.19 -HK.01478 ѿƼ 4.999 5.252 6.32 6.321 7.752 7.791 6.254 6.876 7.31 10.546 13.609 1189530000 59.46 62.47 75.18 75.19 92.21 92.68 74.39 81.79 86.95 125.45 161.88 89.79 -HK.01480 Ｏſع 1.025 0.978 0.982 0.996 1.044 1.051 0.953 0.964 0.99 1.022 1.061 240000000 2.46 2.35 2.36 2.39 2.51 2.52 2.29 2.31 2.38 2.45 2.55 2.41 -HK.01481 ع 0.573 0.57 0.596 0.571 0.53 0.475 0.489 0.491 0.497 0.492 0.537 1020000000 5.84 5.81 6.08 5.82 5.41 4.85 4.99 5.01 5.07 5.02 5.48 5.40 -HK.01483 Ƽ 1.055 1.06 1.073 1.249 1.247 1.143 1.083 1.141 1.127 1.261 1.156 739450000 7.80 7.84 7.93 9.24 9.22 8.45 8.01 8.44 8.33 9.32 8.55 8.47 -HK.01486 ˼ǿع 0.347 0.32 0.279 0.262 0.252 0.237 0.233 0.219 0.224 0.194 0.242 432391000 1.50 1.38 1.21 1.13 1.09 1.02 1.01 0.95 0.97 0.84 1.05 1.10 -HK.01488 ٸع 0.986 1.023 1.005 0.97 0.994 1.014 0.959 1.029 1.004 0.969 0.895 1578660000 15.57 16.15 15.87 15.31 15.69 16.01 15.14 16.24 15.85 15.30 14.13 15.57 -HK.01489 GC CONSTRUCTION 0.45 0.509 0.504 0.566 0.528 0.502 0.467 0.452 0.359 0.309 0.304 1000000000 4.50 5.09 5.04 5.66 5.28 5.02 4.67 4.52 3.59 3.09 3.04 4.50 -HK.01490 пƼ 0.202 0.191 0.179 0.171 0.194 0.217 0.188 0.182 0.183 0.192 0.198 1234600000 2.49 2.36 2.21 2.11 2.40 2.68 2.32 2.25 2.26 2.37 2.44 2.35 -HK.01496 ǻ 0.125 0.108 0.104 0.112 0.104 0.121 0.116 0.143 0.156 0.162 0.175 864000000 1.08 0.93 0.90 0.97 0.90 1.05 1.00 1.24 1.35 1.40 1.51 1.12 -HK.01497 ֮ 12.78 10.302 8.137 7.64 7.068 6.34 6.105 6.454 6.39 7.19 7.414 464999000 59.43 47.90 37.84 35.53 32.87 29.48 28.39 30.01 29.71 33.43 34.48 36.28 -HK.01498 ũ 0.714 0.655 0.593 0.54 0.554 0.56 0.5 0.492 0.483 0.468 0.458 395897000 2.83 2.59 2.35 2.14 2.19 2.22 1.98 1.95 1.91 1.85 1.81 2.17 -HK.01499 ŷ 0.158 0.211 0.2 0.177 0.157 0.158 0.135 0.15 0.253 0.481 0.498 5370510000 8.49 11.33 10.74 9.51 8.43 8.49 7.25 8.06 13.59 25.83 26.75 12.59 -HK.01500 ֺ㽨 0.075 0.078 0.071 0.065 0.067 0.062 0.061 0.068 0.062 0.058 0.061 830000000 0.62 0.65 0.59 0.54 0.56 0.51 0.51 0.56 0.51 0.48 0.51 0.55 -HK.01501 ̩ҽ 29.414 28.081 27.485 27.471 27.503 27.226 26.821 25.88 24.964 23.75 30.048 104213000 30.65 29.26 28.64 28.63 28.66 28.37 27.95 26.97 26.02 24.75 31.31 28.29 -HK.01502 ڽҵ 2.117 1.993 1.918 1.917 1.898 1.955 1.86 1.944 2.12 2.382 2.432 103500000 2.19 2.06 1.99 1.98 1.96 2.02 1.93 2.01 2.19 2.47 2.52 2.12 -HK.01503 ̾ҵ 1.197 1.175 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19.12 17.21 17.81 17.06 17.25 17.25 18.39 -HK.01527 ໷ 1.764 1.768 0.986 1.055 1.047 1.287 1.252 1.311 1.373 1.897 2.12 35000000 0.62 0.62 0.35 0.37 0.37 0.45 0.44 0.46 0.48 0.66 0.74 0.50 -HK.01528 1.818 1.989 1.974 1.631 1.568 1.501 1.348 1.373 1.401 1.682 1.577 741286000 13.48 14.74 14.63 12.09 11.62 11.13 9.99 10.18 10.39 12.47 11.69 12.04 -HK.01529 Ϲʿع 0.274 0.179 0.151 0.153 0.14 0.143 0.27 0.355 0.361 0.324 0.413 667080000 1.83 1.19 1.01 1.02 0.93 0.95 1.80 2.37 2.41 2.16 2.76 1.68 -HK.01530 ҩ 6.289 5.542 5.882 5.744 6.372 9.206 12.017 15.217 21.473 28.055 31.192 2432270000 152.97 134.80 143.07 139.71 154.98 223.91 292.29 370.12 522.28 682.37 758.67 325.02 -HK.01532 йɶĻ 0.091 0.102 0.102 0.116 0.105 0.104 0.124 0.126 0.114 0.104 0.119 1807260000 1.64 1.84 1.84 2.10 1.90 1.88 2.24 2.28 2.06 1.88 2.15 1.98 -HK.01536 ټ 0.124 0.177 0.143 0.099 0.093 0.111 0.108 0.097 0.102 0.11 0.163 456000000 0.57 0.81 0.65 0.45 0.42 0.51 0.49 0.44 0.47 0.50 0.74 0.55 -HK.01538 аµ 0.338 0.282 0.268 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1690500000 2.13 2.06 1.49 1.62 1.62 1.32 1.18 1.45 1.45 1.59 1.62 1.60 -HK.01575 ͥǼ 0.074 0.07 0.068 0.061 0.061 0.083 0.054 0.058 0.06 0.057 0.055 3300000000 2.44 2.31 2.24 2.01 2.01 2.74 1.78 1.91 1.98 1.88 1.82 2.10 -HK.01576 ³ 2.18 2.204 2.186 2.272 2.348 2.264 1.94 1.922 1.985 2.056 1.924 2000000000 43.60 44.08 43.72 45.44 46.96 45.28 38.80 38.44 39.70 41.12 38.48 42.33 -HK.01577 С 0.649 0.665 0.655 0.716 0.772 0.889 0.864 0.93 0.929 0.897 0.973 180000000 1.17 1.20 1.18 1.29 1.39 1.60 1.56 1.67 1.67 1.61 1.75 1.46 -HK.01578 1.614 1.513 1.551 1.571 1.592 1.648 1.712 1.954 2.225 2.6 2.485 1764600000 28.48 26.70 27.37 27.72 28.09 29.08 30.21 34.48 39.26 45.88 43.85 32.83 -HK.01579 ú 14.401 13.567 14.749 12.863 13.414 14.251 12.965 13.236 13.694 13.825 13.566 1036700000 149.30 140.65 152.90 133.35 139.06 147.74 134.41 137.22 141.97 143.32 140.64 141.87 -HK.01580 ɭع 0.116 0.112 0.083 0.084 0.086 0.118 0.141 0.135 0.148 0.152 0.144 1095680000 1.27 1.23 0.91 0.92 0.94 1.29 1.54 1.48 1.62 1.67 1.58 1.31 -HK.01581 ſع 0.106 0.104 0.12 0.111 0.126 0.116 0.119 0.115 0.142 0.197 0.198 415000000 0.44 0.43 0.50 0.46 0.52 0.48 0.49 0.48 0.59 0.82 0.82 0.55 -HK.01582 Ӫ 0.467 0.451 0.448 0.437 0.435 0.422 0.412 0.398 0.42 0.427 0.428 500000000 2.34 2.26 2.24 2.19 2.18 2.11 2.06 1.99 2.10 2.14 2.14 2.16 -HK.01583 ʳƷ 0.97 1.008 1.035 0.995 1.048 1.152 1.039 1.153 1.254 1.33 1.33 755097000 7.32 7.61 7.82 7.51 7.91 8.70 7.85 8.71 9.47 10.04 10.04 8.45 -HK.01585 ŵϿع 12.702 12.444 12.364 12.115 12.262 14.082 13.921 12.73 12.158 12.844 12.628 3112650000 395.37 387.34 384.85 377.10 381.67 438.32 433.31 396.24 378.44 399.79 393.07 396.86 -HK.01586 1.695 1.751 1.939 2.302 2.366 2.266 2.349 2.532 2.453 2.987 2.965 589661000 9.99 10.32 11.43 13.57 13.95 13.36 13.85 14.93 14.46 17.61 17.48 13.73 -HK.01587 ڹ 0.423 0.395 0.343 0.387 0.43 0.501 0.507 0.517 0.552 0.603 0.633 680000000 2.88 2.69 2.33 2.63 2.92 3.41 3.45 3.52 3.75 4.10 4.30 3.27 -HK.01588 ͨ 4.203 4.611 5.447 5.501 7.222 6.854 6.271 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-HK.01600 ȼ 3.397 3.217 3.42 3.359 3.096 2.619 2.384 2.567 3.004 3.331 3.897 981885000 33.35 31.59 33.58 32.98 30.40 25.72 23.41 25.20 29.50 32.71 38.26 30.61 -HK.01601 йشƼ 0.739 0.707 0.722 0.747 0.715 0.739 0.729 0.738 0.785 0.893 0.93 493334000 3.65 3.49 3.56 3.69 3.53 3.65 3.60 3.64 3.87 4.41 4.59 3.79 -HK.01606 1.192 1.142 1.105 1.059 1.083 1.12 1.063 1.121 1.33 1.705 1.738 2769590000 33.01 31.63 30.60 29.33 29.99 31.02 29.44 31.05 36.84 47.22 48.14 34.39 -HK.01608 ΰܼ 0.222 0.199 0.177 0.159 0.169 0.258 0.291 0.282 0.282 0.281 0.265 6683150000 14.84 13.30 11.83 10.63 11.29 17.24 19.45 18.85 18.85 18.78 17.71 15.71 -HK.01610 Ҽѿ 1.588 1.502 1.437 1.337 1.366 1.486 1.493 1.466 1.557 1.791 1.805 4582000000 72.76 68.82 65.84 61.26 62.59 68.09 68.41 67.17 71.34 82.06 82.71 70.10 -HK.01611 »Ƽع 2.02 2.225 2.107 1.929 1.722 1.703 1.535 1.672 2.085 4.44 5.665 585932000 11.84 13.04 12.35 11.30 10.09 9.98 8.99 9.80 12.22 26.02 33.19 14.44 -HK.01612 ʤҽ 0.418 0.388 0.382 0.379 0.38 0.411 0.385 0.392 0.446 0.673 0.887 653336000 2.73 2.53 2.50 2.48 2.48 2.69 2.52 2.56 2.91 4.40 5.80 3.05 -HK.01613 Эͬͨ 0.376 0.461 0.469 0.451 0.382 0.303 0.284 0.294 0.284 0.253 0.254 448741000 1.69 2.07 2.10 2.02 1.71 1.36 1.27 1.32 1.27 1.14 1.14 1.55 -HK.01615 ° 0.232 0.244 0.243 0.268 0.262 0.244 0.253 0.235 0.216 0.234 0.244 600000000 1.39 1.46 1.46 1.61 1.57 1.46 1.52 1.41 1.30 1.40 1.46 1.46 -HK.01616 һԪ 0.036 0.032 0.035 0.027 0.038 0.034 0.03 0.033 0.032 0.029 0.044 2151580000 0.77 0.69 0.75 0.58 0.82 0.73 0.65 0.71 0.69 0.62 0.95 0.72 -HK.01617 Ϸͨ 0.096 0.093 0.09 0.091 0.109 0.109 0.09 0.085 0.106 0.127 0.122 1626240000 1.56 1.51 1.46 1.48 1.77 1.77 1.46 1.38 1.72 2.07 1.98 1.65 -HK.01618 йұ 1.647 1.629 1.58 1.474 1.509 1.578 1.417 1.454 1.502 1.692 1.968 2871000000 47.29 46.77 45.36 42.32 43.32 45.30 40.68 41.74 43.12 48.58 56.50 45.54 -HK.01620 ӯ 0.053 0.054 0.058 0.052 0.048 0.048 0.047 0.051 0.06 0.073 0.146 1200000000 0.64 0.65 0.70 0.62 0.58 0.58 0.56 0.61 0.72 0.88 1.75 0.75 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0.82 0.76 -HK.01630 ɿع 0.056 0.053 0.048 0.046 0.053 0.046 0.043 0.041 0.042 0.043 0.05 1500000000 0.84 0.80 0.72 0.69 0.80 0.69 0.65 0.62 0.63 0.65 0.75 0.71 -HK.01631 REF HOLDINGS 0.234 0.202 0.22 0.207 0.215 0.198 0.301 0.496 0.473 0.595 0.582 256000000 0.60 0.52 0.56 0.53 0.55 0.51 0.77 1.27 1.21 1.52 1.49 0.87 -HK.01632 ̴ 0.306 0.267 0.247 0.216 0.205 0.161 0.158 0.192 0.196 0.187 0.155 953275000 2.92 2.55 2.35 2.06 1.95 1.53 1.51 1.83 1.87 1.78 1.48 1.98 -HK.01633 ͼ 0.088 0.076 0.068 0.073 0.065 0.054 0.07 0.056 0.059 0.062 0.066 684750000 0.60 0.52 0.47 0.50 0.45 0.37 0.48 0.38 0.40 0.42 0.45 0.46 -HK.01635 ڹ 1.829 2.116 2.093 1.827 1.997 1.987 1.768 1.963 2.056 2.425 2.417 533643000 9.76 11.29 11.17 9.75 10.66 10.60 9.43 10.48 10.97 12.94 12.90 10.90 -HK.01636 й 1.022 1.27 1.158 1 0.708 0.571 0.364 0.367 0.68 1.492 448156000 0.00 4.58 5.69 5.19 4.48 3.17 2.56 1.63 1.64 3.05 6.69 3.52 -HK.01637 ˳˼ſع 0.104 0.098 0.1 0.1 0.121 0.122 0.152 0.158 0.153 0.149 0.177 400000000 0.42 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0.11 0.10 0.09 0.08 0.07 0.06 0.06 0.07 0.09 0.73 0.14 -HK.01680 () 1.552 1.497 1.417 1.221 1.13 1.178 1.006 1.009 0.933 0.8 0.663 620119000 9.62 9.28 8.79 7.57 7.01 7.31 6.24 6.26 5.79 4.96 4.11 6.99 -HK.01681 ҩҵ 7.631 8.07 7.605 7.409 7.82 8.148 9.043 9.541 11.201 12.119 13.434 852617000 65.06 68.81 64.84 63.17 66.67 69.47 77.10 81.35 95.50 103.33 114.54 79.08 -HK.01682 ƷƼ 0.215 0.201 0.177 0.166 0.202 0.187 0.178 0.152 0.136 0.145 0.163 785927000 1.69 1.58 1.39 1.30 1.59 1.47 1.40 1.19 1.07 1.14 1.28 1.37 -HK.01683 ݹ 0.046 0.16 0.19 0.163 0.162 0.151 0.273 0.547 0.848 0.83 0.742 1866240000 0.86 2.99 3.55 3.04 3.02 2.82 5.09 10.21 15.83 15.49 13.85 6.98 -HK.01685 0.163 0.139 0.141 0.158 0.17 0.195 0.238 0.3 0.302 0.335 0.377 773769000 1.26 1.08 1.09 1.22 1.32 1.51 1.84 2.32 2.34 2.59 2.92 1.77 -HK.01686 3.717 3.934 4.211 3.908 6.38 7.91 6.136 6.421 7.31 7.733 7.725 2360560000 87.74 92.86 99.40 92.25 150.60 186.72 144.84 151.57 172.56 182.54 182.35 140.31 -HK.01689 ع 0.564 0.521 0.508 0.526 0.537 0.706 0.671 0.674 0.652 0.58 0.584 701430000 3.96 3.65 3.56 3.69 3.77 4.95 4.71 4.73 4.57 4.07 4.10 4.16 -HK.01690 ̿ع 0.065 0.065 0.064 0.063 0.064 0.064 0.065 0.063 0.063 0.065 0.064 1450490000 0.94 0.94 0.93 0.91 0.93 0.93 0.94 0.91 0.91 0.94 0.93 0.93 -HK.01691 JS 1.653 1.523 1.382 1.658 1.846 1.803 1.715 1.935 2.002 1.878 1.804 3474570000 57.43 52.92 48.02 57.61 64.14 62.65 59.59 67.23 69.56 65.25 62.68 60.64 -HK.01692 ǻԿع 2.593 2.502 2.494 2.553 2.477 2.599 2.398 2.329 2.349 2.262 1.943 359000000 9.31 8.98 8.95 9.17 8.89 9.33 8.61 8.36 8.43 8.12 6.98 8.65 -HK.01693 1.598 1.364 1.35 1.35 1.16 1.098 1.842 2.002 2.527 2.75 2.325 39590000 0.63 0.54 0.53 0.53 0.46 0.43 0.73 0.79 1.00 1.09 0.92 0.70 -HK.01695 ҬἯ 0.057 0.057 0.1 0.112 0.086 0.09 0.078 0.077 0.086 0.089 0.097 1080000000 0.62 0.62 1.08 1.21 0.93 0.97 0.84 0.83 0.93 0.96 1.05 0.91 -HK.01696 ҽƿƼ 3.767 3.446 3.6 3.548 3.636 4.43 4.471 4.147 4.637 4.976 6.426 468343000 17.64 16.14 16.86 16.62 17.03 20.75 20.94 19.42 21.72 23.30 30.10 20.05 -HK.01697 ɽ 0.402 0.384 0.378 0.374 0.37 0.374 0.335 0.353 0.364 0.417 0.422 1164740000 4.68 4.47 4.40 4.36 4.31 4.36 3.90 4.11 4.24 4.86 4.92 4.42 -HK.01698 Ѷ-SW 46.851 43.158 45.959 41.404 49.311 51.991 51.016 63.098 72.19 81.816 90.892 3097810000 1451.35 1336.95 1423.72 1282.62 1527.56 1610.58 1580.38 1954.66 2236.31 2534.50 2815.66 1795.85 -HK.01701 ;ٿع 0.133 0.13 0.13 0.126 0.12 0.117 0.106 0.111 0.111 0.129 0.118 1000000000 1.33 1.30 1.30 1.26 1.20 1.17 1.06 1.11 1.11 1.29 1.18 1.21 -HK.01702 ⻯ 1.884 1.964 1.846 1.953 1.771 1.649 1.575 1.664 1.679 1.7 1.486 620944000 11.70 12.20 11.46 12.13 11.00 10.24 9.78 10.33 10.43 10.56 9.23 10.82 -HK.01705 ˹ 0.344 0.317 0.34 0.336 0.325 0.351 0.342 0.383 0.383 0.432 0.448 400000000 1.38 1.27 1.36 1.34 1.30 1.40 1.37 1.53 1.53 1.73 1.79 1.45 -HK.01707 ºƴع 0.069 0.071 0.109 0.097 0.09 0.092 0.102 0.118 0.104 0.103 0.099 1680000000 1.16 1.19 1.83 1.63 1.51 1.55 1.71 1.98 1.75 1.73 1.66 1.61 -HK.01708 Ƽ 0.512 0.481 0.422 0.346 0.352 0.359 0.322 0.277 0.365 0.311 0.305 229500000 1.18 1.10 0.97 0.79 0.81 0.82 0.74 0.64 0.84 0.71 0.70 0.85 -HK.01709 ֿع 4.324 4.31 4.957 5.054 4.719 4.125 3.692 3.205 3.119 3.634 3.212 1684750000 72.85 72.61 83.51 85.15 79.50 69.50 62.20 54.00 52.55 61.22 54.11 67.93 -HK.01710 ·Ṥҵ 0.141 0.131 0.121 0.115 0.117 0.115 0.119 0.134 0.133 0.145 0.16 1000000000 1.41 1.31 1.21 1.15 1.17 1.15 1.19 1.34 1.33 1.45 1.60 1.30 -HK.01711 ŷ 0.077 0.072 0.068 0.063 0.062 0.059 0.063 0.065 0.067 0.064 0.083 800000000 0.62 0.58 0.54 0.50 0.50 0.47 0.50 0.52 0.54 0.51 0.66 0.54 -HK.01712 Դ 1.643 1.484 1.441 1.457 1.717 1.881 2.649 3.214 4.196 3.537 4.312 158097000 2.60 2.35 2.28 2.30 2.71 2.97 4.19 5.08 6.63 5.59 6.82 3.96 -HK.01713 ĴͶչ 1.94 1.911 1.98 1.945 2.01 2.072 2.292 2.49 2.576 2.794 2.888 787397000 15.28 15.05 15.59 15.31 15.83 16.31 18.05 19.61 20.28 22.00 22.74 17.82 -HK.01715 ǻ۽Ƽ 0.392 0.323 0.248 0.235 0.236 0.238 0.255 0.279 0.341 0.335 0.328 360760000 1.41 1.17 0.89 0.85 0.85 0.86 0.92 1.01 1.23 1.21 1.18 1.05 -HK.01716 ëǿӿ 0.405 0.382 0.359 0.358 0.362 0.392 0.379 0.385 0.416 0.435 0.55 270000000 1.09 1.03 0.97 0.97 0.98 1.06 1.02 1.04 1.12 1.17 1.49 1.09 -HK.01717 2.045 2.002 1.887 1.824 1.841 2.132 1.904 1.889 1.965 2.264 2.526 1778140000 36.36 35.60 33.55 32.43 32.74 37.91 33.86 33.59 34.94 40.26 44.92 36.01 -HK.01718 ſع 0.273 0.246 0.239 0.254 0.261 0.281 0.244 0.252 0.248 0.238 0.251 230400000 0.63 0.57 0.55 0.59 0.60 0.65 0.56 0.58 0.57 0.55 0.58 0.58 -HK.01719 й̼ͨ 0.696 0.678 0.695 0.698 0.667 0.615 0.557 0.554 0.736 0.666 0.467 1725070000 12.01 11.70 11.99 12.04 11.51 10.61 9.61 9.56 12.70 11.49 8.06 11.02 -HK.01720 ͨż 0.056 0.055 0.057 0.059 0.121 0.109 0.103 0.102 0.104 0.104 0.117 1100000000 0.62 0.61 0.63 0.65 1.33 1.20 1.13 1.12 1.14 1.14 1.29 0.99 -HK.01721 FSM HOLDINGS 0.4 0.426 0.475 0.478 0.494 0.468 0.425 0.416 0.422 0.458 0.54 1000000000 4.00 4.26 4.75 4.78 4.94 4.68 4.25 4.16 4.22 4.58 5.40 4.55 -HK.01722 ع 0.061 0.056 0.072 0.055 0.044 0.037 0.041 0.044 0.045 0.066 0.07 1100000000 0.67 0.62 0.79 0.61 0.48 0.41 0.45 0.48 0.50 0.73 0.77 0.59 -HK.01723 ¿ع 0.287 0.3 0.276 0.835 3.446 5.329 4.391 3.902 4.158 3.899 3.492 475000000 1.36 1.43 1.31 3.97 16.37 25.31 20.86 18.53 19.75 18.52 16.59 13.09 -HK.01725 ޼ʺƼ 1.434 1.29 1.064 0.751 0.967 0.904 0.669 0.679 0.709 0.778 0.968 504074000 7.23 6.50 5.36 3.79 4.87 4.56 3.37 3.42 3.57 3.92 4.88 4.68 -HK.01726 HKE HOLDINGS 1.813 1.714 1.716 1.543 1.57 1.538 1.423 1.375 1.476 1.666 1.611 1077750000 19.54 18.47 18.49 16.63 16.92 16.58 15.34 14.82 15.91 17.96 17.36 17.09 -HK.01727 ӱ 0.667 0.622 0.586 0.581 0.55 0.474 0.423 0.434 0.443 0.484 0.552 461384000 3.08 2.87 2.70 2.68 2.54 2.19 1.95 2.00 2.04 2.23 2.55 2.44 -HK.01729 ۿƼ 4.732 4.648 4.115 4.096 4.854 5.213 3.975 4.479 6.516 9.009 11.141 1955400000 92.53 90.89 80.46 80.09 94.92 101.94 77.73 87.58 127.41 176.16 217.85 111.60 -HK.01730 LHN 1.867 1.998 2.526 2.679 2.795 2.605 2.46 2.78 3.374 4.819 4.874 427408000 7.98 8.54 10.80 11.45 11.95 11.13 10.51 11.88 14.42 20.60 20.83 12.74 -HK.01731 ҵ 0.684 0.739 0.776 0.775 0.806 0.843 0.674 0.712 0.697 0.822 0.846 1120000000 7.66 8.28 8.69 8.68 9.03 9.44 7.55 7.97 7.81 9.21 9.48 8.53 -HK.01732 ˹ 0.104 0.084 0.072 0.071 0.077 0.088 0.115 0.104 0.119 0.124 0.171 1280000000 1.33 1.08 0.92 0.91 0.99 1.13 1.47 1.33 1.52 1.59 2.19 1.31 -HK.01733 ״ 1.457 1.342 1.256 1.118 1.053 0.966 0.814 0.826 0.823 1.017 0.971 2669780000 38.90 35.83 33.53 29.85 28.11 25.79 21.73 22.05 21.97 27.15 25.92 28.26 -HK.01735 лԴ 8.425 8.214 8.132 8.148 8.539 8.651 9.772 10.545 8.457 8.326 8.315 4224000000 355.87 346.96 343.50 344.17 360.69 365.42 412.77 445.42 357.22 351.69 351.23 366.81 -HK.01736 й 0.64 0.793 0.68 0.549 0.55 0.563 0.442 0.412 0.342 0.507 0.961 43207800 0.28 0.34 0.29 0.24 0.24 0.24 0.19 0.18 0.15 0.22 0.42 0.25 -HK.01737 ʵҵ 0.119 0.093 0.095 0.1 0.117 0.129 0.122 0.123 0.103 0.101 0.105 1000000000 1.19 0.93 0.95 1.00 1.17 1.29 1.22 1.23 1.03 1.01 1.05 1.10 -HK.01738 ú 0.12 0.114 0.115 0.115 0.118 0.102 0.101 0.101 0.103 0.134 0.17 1380550000 1.66 1.57 1.59 1.59 1.63 1.41 1.39 1.39 1.42 1.85 2.35 1.62 -HK.01739 ٿƼ 0.212 0.206 0.207 0.207 0.206 0.216 0.185 0.172 0.161 0.186 0.198 1145010000 2.43 2.36 2.37 2.37 2.36 2.47 2.12 1.97 1.84 2.13 2.27 2.24 -HK.01740 ʯĻ 0.103 0.082 0.081 0.078 0.069 0.069 0.07 0.07 0.072 0.061 0.084 1037500000 1.07 0.85 0.84 0.81 0.72 0.72 0.73 0.73 0.75 0.63 0.87 0.79 -HK.01741 ־ع 0.051 0.052 0.043 0.052 0.063 0.086 0.139 0.148 0.13 0.121 0.119 800000000 0.41 0.42 0.34 0.42 0.50 0.69 1.11 1.18 1.04 0.97 0.95 0.73 -HK.01742 HPC HOLDINGS 0.063 0.057 0.061 0.06 0.047 0.049 0.046 0.048 0.079 0.078 0.071 1600000000 1.01 0.91 0.98 0.96 0.75 0.78 0.74 0.77 1.26 1.25 1.14 0.96 -HK.01745 ¿Ƽ 0.399 0.343 0.316 0.3 0.312 0.286 0.253 0.25 0.191 0.193 0.203 2530800000 10.10 8.68 8.00 7.59 7.90 7.24 6.40 6.33 4.83 4.88 5.14 7.01 -HK.01746 ˳ſع 0.185 0.284 0.251 0.295 0.357 0.569 0.555 0.483 0.409 0.311 0.408 1000000000 1.85 2.84 2.51 2.95 3.57 5.69 5.55 4.83 4.09 3.11 4.08 3.73 -HK.01747 HOME CONTROL 0.412 0.331 0.338 0.322 0.329 0.435 0.55 0.771 1.062 2.614 4.58 506650000 2.09 1.68 1.71 1.63 1.67 2.20 2.79 3.91 5.38 13.24 23.20 5.41 -HK.01749 ɼɼƷ 0.753 0.766 0.803 0.804 0.839 1.016 0.913 0.978 1.064 0.968 0.931 33400000 0.25 0.26 0.27 0.27 0.28 0.34 0.30 0.33 0.36 0.32 0.31 0.30 -HK.01750 ȫſع 0.033 0.031 0.025 0.024 0.037 0.036 0.034 0.035 0.033 0.032 0.038 1800000000 0.59 0.56 0.45 0.43 0.67 0.65 0.61 0.63 0.59 0.58 0.68 0.59 -HK.01751 0.454 0.438 0.424 0.405 0.5 0.456 0.381 0.367 0.389 0.352 0.396 241920000 1.10 1.06 1.03 0.98 1.21 1.10 0.92 0.89 0.94 0.85 0.96 1.00 -HK.01752 ޳ɷ߽ 0.07 0.071 0.067 0.07 0.061 0.059 0.057 0.056 0.055 0.054 0.056 2171690000 1.52 1.54 1.46 1.52 1.32 1.28 1.24 1.22 1.19 1.17 1.22 1.33 -HK.01753 Ұ 0.316 0.272 0.249 0.244 0.276 0.228 0.172 0.171 0.177 0.225 0.305 1076820000 3.40 2.93 2.68 2.63 2.97 2.46 1.85 1.84 1.91 2.42 3.28 2.58 -HK.01756 йƽ̲ҵ 0.615 0.606 0.631 0.671 0.646 0.609 0.569 0.573 0.587 0.603 0.599 1200000000 7.38 7.27 7.57 8.05 7.75 7.31 6.83 6.88 7.04 7.24 7.19 7.32 -HK.01757 ԣػ 0.181 0.16 0.136 0.125 0.123 0.101 0.125 0.156 0.147 0.118 0.126 1200000000 2.17 1.92 1.63 1.50 1.48 1.21 1.50 1.87 1.76 1.42 1.51 1.63 -HK.01758 0.159 0.166 0.163 0.243 0.2 0.169 0.155 0.163 0.153 0.131 0.135 903138000 1.44 1.50 1.47 2.19 1.81 1.53 1.40 1.47 1.38 1.18 1.22 1.51 -HK.01759 ͽܿع 0.664 0.537 0.485 0.518 0.511 0.669 0.747 0.799 1.023 1.025 0.988 216000000 1.43 1.16 1.05 1.12 1.10 1.45 1.61 1.73 2.21 2.21 2.13 1.56 -HK.01760 ӢƼ 1.375 1.226 1.191 1.046 1.434 1.531 1.2 1.369 1.462 1.45 1.602 1087840000 14.96 13.34 12.96 11.38 15.60 16.65 13.05 14.89 15.90 15.77 17.43 14.72 -HK.01762 Ҽ 0.17 0.147 0.167 0.192 0.237 0.417 0.587 0.654 0.811 0.791 0.744 1752530000 2.98 2.58 2.93 3.36 4.15 7.31 10.29 11.46 14.21 13.86 13.04 7.83 -HK.01763 йͬ 10.951 10.722 10.372 10.049 10.975 12.175 11.029 11.593 14.836 15.391 17.745 79968800 8.76 8.57 8.29 8.04 8.78 9.74 8.82 9.27 11.86 12.31 14.19 9.88 -HK.01765 ϣ̹ʿع 0.158 0.147 0.149 0.16 0.176 0.148 0.144 0.182 0.19 0.197 0.191 8224970000 13.00 12.09 12.26 13.16 14.48 12.17 11.84 14.97 15.63 16.20 15.71 13.77 -HK.01766 йг 5.048 4.645 4.507 4.626 4.738 4.973 4.417 4.721 4.849 5.294 5.617 4371070000 220.65 203.04 197.00 202.21 207.10 217.37 193.07 206.36 211.95 231.40 245.52 212.33 -HK.01767 TS WONDERS 0.205 0.192 0.184 0.186 0.191 0.195 0.277 0.329 0.315 0.318 0.291 1000000000 2.05 1.92 1.84 1.86 1.91 1.95 2.77 3.29 3.15 3.18 2.91 2.44 -HK.01769 ˼ֽ 5.901 5.036 5.065 4.102 3.73 4.388 4.839 4.366 3.971 3.425 2.88 564869000 33.33 28.45 28.61 23.17 21.07 24.79 27.33 24.66 22.43 19.35 16.27 24.50 -HK.01771 ·̩ 0.3 0.276 0.263 0.273 0.281 0.282 0.28 0.314 0.3 0.28 0.243 600000000 1.80 1.66 1.58 1.64 1.69 1.69 1.68 1.88 1.80 1.68 1.46 1.69 -HK.01772 ӷҵ 21.601 23.855 21.806 20.258 21.204 22.507 18.588 19.294 20.77 26.3 30.438 403574000 87.18 96.27 88.00 81.76 85.57 90.83 75.02 77.87 83.82 106.14 122.84 90.48 -HK.01773 ʿع 4.744 4.291 3.929 3.645 4.154 3.971 3.645 3.745 4.164 4.031 4.168 2108880000 100.05 90.49 82.86 76.87 87.60 83.74 76.87 78.98 87.81 85.01 87.90 85.29 -HK.01775 Ӣ㼯 0.175 0.174 0.17 0.17 0.159 0.158 0.16 0.173 0.156 0.155 0.276 507632000 0.89 0.88 0.86 0.86 0.81 0.80 0.81 0.88 0.79 0.79 1.40 0.89 -HK.01776 㷢֤ȯ 11.22 11.097 10.402 9.73 10.203 10.221 9.326 10.647 12.341 15.535 18.269 1701800000 190.94 188.85 177.02 165.59 173.63 173.94 158.71 181.19 210.02 264.37 310.90 199.56 -HK.01777 ع 0.146 0.121 0.111 0.098 0.093 0.088 0.068 0.074 0.071 0.072 0.074 5772600000 8.43 6.98 6.41 5.66 5.37 5.08 3.93 4.27 4.10 4.16 4.27 5.33 -HK.01778 0.247 0.175 0.172 0.166 0.165 0.168 0.164 0.16 0.164 0.186 0.201 1859410000 4.59 3.25 3.20 3.09 3.07 3.12 3.05 2.98 3.05 3.46 3.74 3.33 -HK.01780 ʿع 1.29 1.319 1.188 1.132 1.11 0.97 0.935 1.015 1.019 1.185 1.061 620000000 8.00 8.18 7.37 7.02 6.88 6.01 5.80 6.29 6.32 7.35 6.58 6.89 -HK.01782 ҵּ 3.329 3.61 4.017 4.037 4.012 4.613 5.181 4.445 3.644 3.465 3.491 772000000 25.70 27.87 31.01 31.17 30.97 35.61 40.00 34.32 28.13 26.75 26.95 30.77 -HK.01783 5.442 5.664 6.681 7.28 7.397 7.693 7.593 8.499 7.855 7.51 7.442 1379300000 75.06 78.12 92.15 100.41 102.03 106.11 104.73 117.23 108.34 103.59 102.65 99.13 -HK.01785 ɶ 2.156 2.15 2.159 2.252 2.196 2.181 1.922 2.103 2.142 2.137 2.155 456102000 9.83 9.81 9.85 10.27 10.02 9.95 8.77 9.59 9.77 9.75 9.83 9.77 -HK.01786 װ 0.736 0.717 0.722 0.717 0.811 0.795 0.7 0.726 0.787 0.928 0.967 531900000 3.91 3.81 3.84 3.81 4.31 4.23 3.72 3.86 4.19 4.94 5.14 4.16 -HK.01787 ɽƽ 16.785 13.951 12.943 13.72 15.364 16.631 21.155 23.696 25.948 26.63 27.463 858986000 144.18 119.84 111.18 117.85 131.97 142.86 181.72 203.55 222.89 228.75 235.90 167.34 -HK.01788 ̩ 1.285 1.117 1.132 1.058 1.134 1.122 0.952 1.079 1.608 5.859 5.323 9526940000 122.42 106.42 107.84 100.80 108.04 106.89 90.70 102.80 153.19 558.18 507.12 187.67 -HK.01789 ҽ 4.822 4.981 4.949 4.283 4.815 5.349 5.823 5.617 5.983 6.078 6.802 1122700000 54.14 55.92 55.56 48.09 54.06 60.05 65.37 63.06 67.17 68.24 76.37 60.73 -HK.01790 0.541 0.531 0.553 0.539 0.53 0.528 0.482 0.48 0.505 0.433 0.45 1000000000 5.41 5.31 5.53 5.39 5.30 5.28 4.82 4.80 5.05 4.33 4.50 5.07 -HK.01792 CMON 0.025 0.022 0.021 0.021 0.023 0.023 0.015 0.014 0.016 0.015 1806000000 0.45 0.40 0.38 0.38 0.42 0.42 0.00 0.27 0.25 0.29 0.27 0.32 -HK.01793 ΰع 0.143 0.147 0.151 0.159 0.157 0.159 0.165 0.163 0.161 0.183 0.203 800000000 1.14 1.18 1.21 1.27 1.26 1.27 1.32 1.30 1.29 1.46 1.62 1.30 -HK.01795 Ƕ 0.947 1.247 1.249 1.081 1.021 0.877 0.751 0.726 0.6 0.664 0.871 600000000 5.68 7.48 7.49 6.49 6.13 5.26 4.51 4.36 3.60 3.98 5.23 5.47 -HK.01796 METASPACEX 1.86 1.772 1.797 1.927 1.783 1.712 1.662 1.738 2.475 3.573 3.398 480000000 8.93 8.51 8.63 9.25 8.56 8.22 7.98 8.34 11.88 17.15 16.31 10.34 -HK.01797 ѡ 18.046 15.074 15.661 16.433 13.612 13.41 11.806 12.155 12.403 15.823 32.021 1046420000 188.84 157.74 163.88 171.96 142.44 140.32 123.54 127.19 129.79 165.58 335.07 167.85 -HK.01798 Դ 2.121 1.981 1.981 1.919 2.013 2.173 2.108 2.162 2.288 2.387 2.326 2501070000 53.05 49.55 49.55 48.00 50.35 54.35 52.72 54.07 57.22 59.70 58.17 53.34 -HK.01799 Դ 8.603 8.766 7.832 7.256 7.383 6.169 4.443 4.487 4.662 6.671 6.78 376171000 32.36 32.98 29.46 27.29 27.77 23.21 16.71 16.88 17.54 25.09 25.50 24.98 -HK.01800 йͨ 4.914 4.955 5.095 4.974 4.907 4.894 4.687 4.881 5.15 5.478 5.75 4418480000 217.12 218.94 225.12 219.78 216.81 216.24 207.09 215.67 227.55 242.04 254.06 223.68 -HK.01801 Ŵ 44.483 37.812 36.995 33.142 37.785 41.107 48.908 54.775 77.107 87.373 94.854 1712740000 761.88 647.62 633.63 567.64 647.16 704.06 837.67 938.15 1320.64 1496.47 1624.60 925.41 -HK.01802 ҵ 0.063 0.066 0.069 0.053 0.045 0.055 0.059 0.064 0.062 0.053 0.056 831600000 0.52 0.55 0.57 0.44 0.37 0.46 0.49 0.53 0.52 0.44 0.47 0.49 -HK.01803 Ļ 0.105 0.111 0.088 0.08 0.104 0.11 0.081 0.103 0.102 0.117 0.151 1408020000 1.48 1.56 1.24 1.13 1.46 1.55 1.14 1.45 1.44 1.65 2.13 1.47 -HK.01808 չع 4.553 4.911 4.37 3.844 3.396 3.854 3.718 3.802 3.612 3.586 3.522 244888000 11.15 12.03 10.70 9.41 8.32 9.44 9.10 9.31 8.85 8.78 8.62 9.61 -HK.01809 ֳɽ 8.19 7.394 7.166 6.955 7.379 7.655 6.977 7.521 7.68 7.703 7.332 638645000 52.31 47.22 45.77 44.42 47.13 48.89 44.56 48.03 49.05 49.19 46.83 47.58 -HK.01810 С׼-W 24.555 28.112 31.128 34.889 46.34 53.79 44.403 51.638 54.51 57.214 52.865 26024500000 6390.32 7316.01 8100.91 9079.69 12059.75 13998.58 11555.66 13438.53 14185.95 14889.66 13757.85 11342.99 -HK.01811 йԴ 2.274 2.205 2.262 2.109 2.177 2.263 2.143 2.234 2.407 2.537 2.47 4289920000 97.55 94.59 97.04 90.47 93.39 97.08 91.93 95.84 103.26 108.84 105.96 97.81 -HK.01812 ֽҵ 1.82 1.563 1.297 1.149 0.934 0.671 0.565 0.65 0.668 0.73 0.961 528305000 9.62 8.26 6.85 6.07 4.93 3.54 2.98 3.43 3.53 3.86 5.08 5.29 -HK.01813 Ͼ̩ 0.58 0.5 0.435 0.351 0.356 0.377 0.322 0.32 0.314 0.34 0.31 3418880000 19.83 17.09 14.87 12.00 12.17 12.89 11.01 10.94 10.74 11.62 10.60 13.07 -HK.01815 ƽ 0.247 0.206 0.182 0.314 0.557 1.207 1.467 1.842 2.208 1.713 1.553 1237880000 3.06 2.55 2.25 3.89 6.89 14.94 18.16 22.80 27.33 21.20 19.22 12.94 -HK.01816 й˵ 2.876 2.635 2.665 2.456 2.422 2.401 2.393 2.482 2.652 2.863 3.084 11163600000 321.07 294.16 297.51 274.18 270.38 268.04 267.14 277.08 296.06 319.61 344.29 293.59 -HK.01817 Ľмſع 0.504 0.479 0.46 0.427 0.466 0.478 0.424 0.385 0.359 0.35 0.37 950000000 4.79 4.55 4.37 4.06 4.43 4.54 4.03 3.66 3.41 3.33 3.52 4.06 -HK.01818 нҵ 13.788 11.811 10.793 11.959 13.85 14.698 17.153 18.931 20.502 20.542 21.566 2881560000 397.31 340.34 311.01 344.61 399.10 423.53 494.27 545.51 590.78 591.93 621.44 459.98 -HK.01820 ÷װ 6.156 6.077 6.133 5.995 5.852 4.931 4.554 3.909 3.918 3.784 3.043 300632000 18.51 18.27 18.44 18.02 17.59 14.82 13.69 11.75 11.78 11.38 9.15 14.85 -HK.01822 ľ 0.217 0.174 0.161 0.198 0.231 0.295 0.128 0.12 0.131 0.14 0.142 822439000 1.78 1.43 1.32 1.63 1.90 2.43 1.05 0.99 1.08 1.15 1.17 1.45 -HK.01823 Ÿ 0.441 0.431 0.467 0.526 0.497 0.485 0.429 0.41 0.421 0.715 0.996 412608000 1.82 1.78 1.93 2.17 2.05 2.00 1.77 1.69 1.74 2.95 4.11 2.18 -HK.01825 STERLING GP 0.1 0.084 0.086 0.081 0.078 0.08 0.077 0.083 0.085 0.094 0.124 345600000 0.35 0.29 0.30 0.28 0.27 0.28 0.27 0.29 0.29 0.32 0.43 0.31 -HK.01826 չع 0.059 0.047 0.055 0.049 0.06 0.048 0.051 0.059 0.051 0.063 0.083 1332000000 0.79 0.63 0.73 0.65 0.80 0.64 0.68 0.79 0.68 0.84 1.11 0.76 -HK.01827 ׿ع 1.104 1.124 1.126 1.142 1.126 1.151 1.146 1.128 1.14 1.096 1.077 400000000 4.42 4.50 4.50 4.57 4.50 4.60 4.58 4.51 4.56 4.38 4.31 4.49 -HK.01828 38.189 38.127 1276010000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 487.30 486.50 88.53 -HK.01830 ҽ 2.575 2.496 2.247 2.145 2.136 2.27 2.153 2.279 2.1 1.684 1.573 1256200000 32.35 31.35 28.23 26.95 26.83 28.52 27.05 28.63 26.38 21.15 19.76 27.02 -HK.01831 ʮع 0.079 0.073 0.073 0.064 0.087 0.096 0.083 0.094 0.113 0.125 0.158 1075450000 0.85 0.79 0.79 0.69 0.94 1.03 0.89 1.01 1.22 1.34 1.70 1.02 -HK.01832 0.62 0.516 0.545 0.516 0.513 0.516 0.478 0.463 0.452 0.481 0.554 360000000 2.23 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0.82 -HK.01843 ͵۹ 0.152 0.146 0.15 0.136 0.124 0.12 0.12 0.122 0.119 0.124 0.134 800000000 1.22 1.17 1.20 1.09 0.99 0.96 0.96 0.98 0.95 0.99 1.07 1.05 -HK.01845 άۻƼ 0.212 0.219 0.211 0.2 0.196 0.138 0.137 0.119 0.128 0.129 0.133 1333340000 2.83 2.92 2.81 2.67 2.61 1.84 1.83 1.59 1.71 1.72 1.77 2.21 -HK.01846 Ӽ 4.612 4.235 3.981 3.497 3.213 3.22 2.907 2.911 2.928 3.004 3.285 320706000 14.79 13.58 12.77 11.22 10.30 10.33 9.32 9.34 9.39 9.63 10.54 11.02 -HK.01847 ϽͶ 0.457 0.458 0.416 0.362 0.43 0.422 0.442 0.433 0.42 0.631 0.789 133882000 0.61 0.61 0.56 0.48 0.58 0.56 0.59 0.58 0.56 0.84 1.06 0.64 -HK.01848 йɻ 3.11 2.969 3.205 3.185 3.277 3.525 3.62 3.771 3.807 4.384 4.885 747975000 23.26 22.21 23.97 23.82 24.51 26.37 27.08 28.21 28.48 32.79 36.54 27.02 -HK.01850 ʢԴ() 0.637 0.612 0.557 0.595 0.597 0.602 0.61 0.606 0.605 0.599 0.752 172800000 1.10 1.06 0.96 1.03 1.03 1.04 1.05 1.05 1.05 1.04 1.30 1.06 -HK.01851 ӽ 0.815 0.704 0.722 0.731 0.775 0.747 0.908 1.137 1.391 1.502 1.645 500000000 4.08 3.52 3.61 3.66 3.88 3.74 4.54 5.69 6.96 7.51 8.23 5.04 -HK.01853 1.397 1.318 1.35 1.537 1.439 1.288 1.32 1.402 1.371 1.408 1.604 116700000 1.63 1.54 1.58 1.79 1.68 1.50 1.54 1.64 1.60 1.64 1.87 1.64 -HK.01854 йع 1.174 1.406 1.445 1.419 1.232 1.186 1.276 1.361 1.28 1.182 1.031 2037230000 23.92 28.64 29.44 28.91 25.10 24.16 26.00 27.73 26.08 24.08 21.00 25.91 -HK.01855 ɷ 7.028 6.55 6.811 6.447 7.056 7.703 7.973 9.017 7.53 6.273 5.468 825000000 57.98 54.04 56.19 53.19 58.21 63.55 65.78 74.39 62.12 51.75 45.11 58.39 -HK.01856 · 1.493 1.77 1.786 1.581 1.036 0.984 1.212 1.259 0.958 1.159 1.484 360258000 5.38 6.38 6.43 5.70 3.73 3.54 4.37 4.54 3.45 4.18 5.35 4.82 -HK.01857 йˮ 1.449 1.361 1.33 1.32 1.335 1.33 1.322 1.371 1.431 1.509 1.533 2860880000 41.45 38.94 38.05 37.76 38.19 38.05 37.82 39.22 40.94 43.17 43.86 39.77 -HK.01858 ҽ 8.477 8.182 8.507 7.955 8.678 9.012 9.094 10.024 11.328 14.528 16.249 95140500 8.07 7.78 8.09 7.57 8.26 8.57 8.65 9.54 10.78 13.82 15.46 9.69 -HK.01860 Ƽ 1.887 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6.623 7.318 8.642 8.092 8.074 8.192 8.382 8.365 13243400000 1125.29 978.16 925.05 877.11 969.15 1144.49 1071.66 1069.27 1084.90 1110.06 1107.81 1042.09 -HK.01877 ʵ 14.922 13.086 12.846 10.929 12.849 14.693 15.069 16.192 22.731 24.784 30.312 260296000 38.84 34.06 33.44 28.45 33.45 38.25 39.22 42.15 59.17 64.51 78.90 44.58 -HK.01878 ϸ 2.954 3.43 3.439 3.043 3.108 2.957 2.811 2.226 2.005 2.424 2.619 296705000 8.76 10.18 10.20 9.03 9.22 8.77 8.34 6.60 5.95 7.19 7.77 8.37 -HK.01880 й 57.876 52.452 53.072 46.725 46.615 49.502 50.302 49.59 51.207 55.766 58.812 116384000 67.36 61.05 61.77 54.38 54.25 57.61 58.54 57.71 59.60 64.90 68.45 60.51 -HK.01881 ҵ 0.541 0.52 0.481 0.456 0.429 0.408 0.377 0.436 0.426 0.457 0.457 3257430000 17.62 16.94 15.67 14.85 13.97 13.29 12.28 14.20 13.88 14.89 14.89 14.77 -HK.01882 22.713 20.041 19.53 20.154 20.448 21.625 18.044 19.117 19.377 21.205 21.34 1596000000 362.50 319.85 311.70 321.66 326.35 345.14 287.98 305.11 309.26 338.43 340.59 324.41 -HK.01883 ŹʵѶ 2.176 2.138 2.166 2.091 2.179 2.218 2.144 2.265 2.348 2.516 2.598 3700890000 80.53 79.13 80.16 77.39 80.64 82.09 79.35 83.83 86.90 93.11 96.15 83.57 -HK.01884 EPRINT 0.1 0.125 0.123 0.109 0.111 0.11 0.111 0.111 0.112 0.103 0.105 550000000 0.55 0.69 0.68 0.60 0.61 0.61 0.61 0.61 0.62 0.57 0.58 0.61 -HK.01888 ϻ 6.522 6.611 6.542 7.013 7.975 8.623 7.424 8.284 9.145 10.43 11.268 3120000000 203.49 206.26 204.11 218.81 248.82 269.04 231.63 258.46 285.32 325.42 351.56 254.81 -HK.01889 0.658 0.545 0.429 0.366 0.327 0.29 0.307 0.328 0.368 0.382 0.387 152899000 1.01 0.83 0.66 0.56 0.50 0.44 0.47 0.50 0.56 0.58 0.59 0.61 -HK.01890 й 1.216 1.186 1.288 1.297 1.375 1.355 1.219 1.311 1.329 1.505 1.441 2014250000 24.49 23.89 25.94 26.12 27.70 27.29 24.55 26.41 26.77 30.31 29.03 26.59 -HK.01891 ˺Ͽع 0.102 0.11 0.172 0.179 0.139 0.146 0.113 0.108 0.111 0.118 0.133 1000000000 1.02 1.10 1.72 1.79 1.39 1.46 1.13 1.08 1.11 1.18 1.33 1.30 -HK.01894 ع 0.03 0.028 0.025 0.027 0.03 0.031 0.028 0.027 0.03 0.029 0.031 921120000 0.28 0.26 0.23 0.25 0.28 0.29 0.26 0.25 0.28 0.27 0.29 0.26 -HK.01895 Է 0.673 0.626 0.6 0.584 0.565 0.573 0.581 0.537 0.468 0.491 0.492 593038000 3.99 3.71 3.56 3.46 3.35 3.40 3.45 3.18 2.78 2.91 2.92 3.34 -HK.01896 è 7.137 7.923 8.381 7.399 7.93 7.428 6.525 6.545 7.324 7.672 7.753 1151400000 82.18 91.23 96.50 85.19 91.31 85.53 75.13 75.36 84.33 88.34 89.27 85.85 -HK.01897 ʵҵ 0.423 0.427 0.441 0.443 0.443 0.444 0.438 0.405 0.426 0.453 0.448 406928000 1.72 1.74 1.79 1.80 1.80 1.81 1.78 1.65 1.73 1.84 1.82 1.77 -HK.01898 úԴ 9.541 9.194 9.196 8.624 8.182 7.901 7.619 8.214 8.491 9.616 10.095 4106660000 391.82 377.57 377.65 354.16 336.01 324.47 312.89 337.32 348.70 394.90 414.57 360.91 -HK.01899 ˴ 1.164 1.139 1.213 1.295 1.318 1.284 1.182 1.162 1.171 1.239 1.235 1920130000 22.35 21.87 23.29 24.87 25.31 24.65 22.70 22.31 22.48 23.79 23.71 23.39 -HK.01900 йܽͨ 0.173 0.193 0.191 0.177 0.174 0.171 0.143 0.138 0.19 0.201 0.199 1720190000 2.98 3.32 3.29 3.04 2.99 2.94 2.46 2.37 3.27 3.46 3.42 3.05 -HK.01901 Ｏ 0.089 0.079 0.072 0.072 0.07 0.095 0.105 0.088 0.118 0.229 0.372 832000000 0.74 0.66 0.60 0.60 0.58 0.79 0.87 0.73 0.98 1.91 3.10 1.05 -HK.01903 JBB BUILDERS 0.498 0.453 0.468 0.451 0.546 0.672 1.035 1.092 1.142 1.302 1.403 500000000 2.49 2.27 2.34 2.26 2.73 3.36 5.18 5.46 5.71 6.51 7.02 4.12 -HK.01905 ͨ 0.796 0.798 0.832 0.855 0.845 0.818 0.773 0.7 0.785 0.888 0.866 5794450000 46.12 46.24 48.21 49.54 48.96 47.40 44.79 40.56 45.49 51.45 50.18 47.18 -HK.01906 ع 0.364 0.385 0.303 0.362 0.36 0.383 0.383 0.375 0.334 0.35 0.295 1471120000 5.35 5.66 4.46 5.33 5.30 5.63 5.63 5.52 4.91 5.15 4.34 5.21 -HK.01907 й 3.281 3.182 2.978 2.678 2.718 2.629 2.515 2.464 2.501 2.544 2.393 4280350000 140.44 136.20 127.47 114.63 116.34 112.53 107.65 105.47 107.05 108.89 102.43 116.28 -HK.01908 ʼ 14.201 12.88 11.503 11.02 12.783 14.751 15.287 14.199 15.773 16.725 17.244 2240150000 318.12 288.53 257.68 246.86 286.36 330.44 342.45 318.08 353.34 374.67 386.29 318.44 -HK.01909 ҿع 2.988 2.79 2.607 2.419 2.468 2.232 1.771 1.824 1.847 2.027 1.737 192000000 5.74 5.36 5.01 4.64 4.74 4.29 3.40 3.50 3.55 3.89 3.34 4.31 -HK.01910 18.477 17.863 20.687 21.352 21.437 18.939 13.726 13.635 14.123 16.003 16.405 1384740000 255.86 247.36 286.46 295.67 296.85 262.26 190.07 188.81 195.57 221.60 227.17 242.51 -HK.01911 ʱع 3.91 3.07 2.984 2.755 3.48 3.606 2.939 3.187 3.967 5.705 6.352 573348000 22.42 17.60 17.11 15.80 19.95 20.67 16.85 18.27 22.74 32.71 36.42 21.87 -HK.01912 ¡ 0.127 0.116 0.114 0.119 0.108 0.093 0.083 0.082 0.079 0.079 0.082 1098120000 1.39 1.27 1.25 1.31 1.19 1.02 0.91 0.90 0.87 0.87 0.90 1.08 -HK.01913 53.894 54.37 60.231 60.236 64.586 58.166 46.973 51.118 48.933 48.818 41.031 2558820000 1379.05 1391.23 1541.20 1541.33 1652.64 1488.36 1201.95 1308.02 1252.11 1249.16 1049.91 1368.63 -HK.01916 0.748 0.694 0.676 0.667 0.677 0.723 0.699 0.745 0.806 0.795 0.74 1345500000 10.06 9.34 9.10 8.97 9.11 9.73 9.41 10.02 10.84 10.70 9.96 9.75 -HK.01917 ˿Ƽ 0.063 0.055 0.05 0.053 0.058 0.056 0.052 0.053 0.055 0.053 0.048 2300000000 1.45 1.27 1.15 1.22 1.33 1.29 1.20 1.22 1.27 1.22 1.10 1.25 -HK.01918 ڴй 2.735 2.725 2.489 1.672 1.865 1.802 1.514 1.423 1.43 1.642 1.518 11469800000 313.70 312.55 285.48 191.78 213.91 206.69 173.65 163.22 164.02 188.33 174.11 217.04 -HK.01919 Զ 10.7 10.668 10.918 10.802 10.91 10.87 10.23 12.756 13.613 14.195 14.515 2879820000 308.14 307.22 314.42 311.08 314.19 313.04 294.61 367.35 392.03 408.79 418.01 340.81 -HK.01920 й 0.899 0.833 0.865 0.879 0.79 0.695 0.485 0.407 0.396 0.391 0.514 374400000 3.37 3.12 3.24 3.29 2.96 2.60 1.82 1.52 1.48 1.46 1.92 2.43 -HK.01921 տع 3.757 6.572 8.146 9.477 9.464 9.07 8.357 7.19 6.525 5.533 5.626 1505870000 56.58 98.97 122.67 142.71 142.52 136.58 125.85 108.27 98.26 83.32 84.72 109.13 -HK.01925 1.268 1.286 1.288 1.243 1.248 1.291 1.276 1.245 1.223 1.245 1.24 405042000 5.14 5.21 5.22 5.03 5.05 5.23 5.17 5.04 4.95 5.04 5.02 5.10 -HK.01927 þ 0.122 0.117 0.117 0.12 0.117 0.116 0.117 0.115 0.107 0.115 0.158 792000000 0.97 0.93 0.93 0.95 0.93 0.92 0.93 0.91 0.85 0.91 1.25 0.95 -HK.01928 ɳй޹˾ 19.327 19.582 20.788 18.507 16.925 17.3 13.548 15.223 15.712 18.632 19.914 8093380000 1564.21 1584.85 1682.45 1497.84 1369.80 1400.15 1096.49 1232.06 1271.63 1507.96 1611.72 1438.11 -HK.01929 ܴ 6.99 6.746 6.498 6.443 7.265 8.615 8.928 10.536 12.244 13.426 13.792 9864940000 689.56 665.49 641.02 635.60 716.69 849.86 880.74 1039.37 1207.86 1324.47 1360.57 910.11 -HK.01930 ѫ 0.255 0.244 0.242 0.242 0.244 0.257 0.332 0.374 0.399 0.399 0.398 660000000 1.68 1.61 1.60 1.60 1.61 1.70 2.19 2.47 2.63 2.63 2.63 2.03 -HK.01931 ҽ 1.964 1.714 1.671 1.794 1.721 1.761 1.712 1.792 2.183 2.856 7.968 1619770000 31.81 27.76 27.07 29.06 27.88 28.52 27.73 29.03 35.36 46.26 129.06 39.96 -HK.01932 Ἧ 0.251 0.25 0.25 0.25 0.237 0.227 0.219 0.214 0.178 0.16 0.153 1000000000 2.51 2.50 2.50 2.50 2.37 2.27 2.19 2.14 1.78 1.60 1.53 2.17 -HK.01933 Ԫع 0.176 0.171 0.156 0.142 0.133 0.132 0.12 0.123 0.137 0.145 0.162 503927000 0.89 0.86 0.79 0.72 0.67 0.67 0.60 0.62 0.69 0.73 0.82 0.73 -HK.01935 κ 0.847 0.859 0.802 0.785 0.792 0.828 0.757 0.805 0.813 0.874 0.868 1600830000 13.56 13.75 12.84 12.57 12.68 13.25 12.12 12.89 13.01 13.99 13.90 13.14 -HK.01936 0.523 0.588 0.651 0.706 0.713 0.64 0.619 0.601 0.584 0.566 0.554 466762000 2.44 2.74 3.04 3.30 3.33 2.99 2.89 2.81 2.73 2.64 2.59 2.86 -HK.01937 ѳع 0.223 0.231 0.213 0.222 0.436 0.402 0.345 0.314 0.307 0.289 0.263 1000000000 2.23 2.31 2.13 2.22 4.36 4.02 3.45 3.14 3.07 2.89 2.63 2.95 -HK.01938 齭ֹ 0.209 0.18 0.174 0.179 0.183 0.185 0.193 0.19 0.204 0.297 0.372 1011140000 2.11 1.82 1.76 1.81 1.85 1.87 1.95 1.92 2.06 3.00 3.76 2.17 -HK.01939 0.7 0.7 0.629 0.483 0.466 0.434 0.543 1.213 2.56 4.997 8.699 500000000 3.50 3.50 3.15 2.42 2.33 2.17 2.72 6.07 12.80 24.99 43.50 9.74 -HK.01940 CGII HLDGS 0.514 0.509 0.483 0.478 0.498 0.486 0.459 0.478 0.476 0.479 0.518 1200000000 6.17 6.11 5.80 5.74 5.98 5.83 5.51 5.74 5.71 5.75 6.22 5.87 -HK.01941 Ǽ 0.199 0.191 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0.56 0.85 1.58 1.53 -HK.01950 ʵҵع 0.13 0.137 0.136 0.134 0.12 0.083 0.083 0.143 0.31 0.289 0.243 720000000 0.94 0.99 0.98 0.96 0.86 0.60 0.60 1.03 2.23 2.08 1.75 1.18 -HK.01951 ֳ 3.55 3.206 2.957 2.527 2.675 2.93 3.073 2.845 2.948 3.084 3.209 2744710000 97.44 88.00 81.16 69.36 73.42 80.42 84.34 78.09 80.91 84.65 88.08 82.35 -HK.01952 ƶҫ 28.452 35.569 46.995 42.389 42.63 55.471 48.879 45.538 51.974 69.593 69.619 350920000 99.84 124.82 164.91 148.75 149.60 194.66 171.53 159.80 182.39 244.22 244.31 171.35 -HK.01953 RIMBACO 0.165 0.144 0.134 0.118 0.116 0.096 0.088 0.083 0.099 0.122 0.134 1260000000 2.08 1.81 1.69 1.49 1.46 1.21 1.11 1.05 1.25 1.54 1.69 1.49 -HK.01955 ׯع 0.362 0.398 0.365 0.396 0.405 0.472 0.547 0.602 0.586 0.575 0.615 500000000 1.81 1.99 1.83 1.98 2.03 2.36 2.74 3.01 2.93 2.88 3.08 2.42 -HK.01957 ˹ 0.395 0.326 0.249 0.253 0.214 0.202 0.196 0.254 0.218 0.217 0.222 628000000 2.48 2.05 1.56 1.59 1.34 1.27 1.23 1.60 1.37 1.36 1.39 1.57 -HK.01958 2.115 2.24 2.371 2.185 2.386 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0.312 0.322 1264000000 4.49 3.91 3.63 3.58 3.70 3.87 3.91 3.94 4.02 3.94 4.07 3.91 -HK.02108 K2 F&B 0.209 0.22 0.221 0.22 0.231 0.214 0.228 0.231 0.211 0.209 0.219 800000000 1.67 1.76 1.77 1.76 1.85 1.71 1.82 1.85 1.69 1.67 1.75 1.75 -HK.02110 ɿع 0.14 0.13 0.121 0.113 0.123 0.112 0.11 0.107 0.099 0.109 0.132 300000000 0.42 0.39 0.36 0.34 0.37 0.34 0.33 0.32 0.30 0.33 0.40 0.35 -HK.02111 ӯʿع 2.412 2.641 2.873 2.773 2.769 2.968 2.205 2.402 2.337 2.713 3.039 1039810000 25.08 27.46 29.87 28.83 28.79 30.86 22.93 24.98 24.30 28.21 31.60 27.54 -HK.02112 Ƽ 0.129 0.126 0.122 0.121 0.135 0.131 0.12 0.12 0.075 0.059 0.062 1500000000 1.94 1.89 1.83 1.82 2.03 1.97 1.80 1.80 1.13 0.89 0.93 1.64 -HK.02113 ͼŹ 0.049 0.046 0.034 0.037 0.041 0.04 0.038 0.038 0.058 0.05 0.094 804750000 0.39 0.37 0.27 0.30 0.33 0.32 0.31 0.31 0.47 0.40 0.76 0.38 -HK.02116 մ 0.369 0.373 0.374 0.389 0.511 0.559 0.481 0.459 0.47 0.478 0.447 480000000 1.77 1.79 1.80 1.87 2.45 2.68 2.31 2.20 2.26 2.29 2.15 2.14 -HK.02119 ٹʿع 0.554 0.539 0.542 0.539 0.539 0.558 0.532 0.559 0.565 0.602 0.601 720732000 3.99 3.88 3.91 3.88 3.88 4.02 3.83 4.03 4.07 4.34 4.33 4.02 -HK.02120 ҽԺ 12.521 12.339 12.204 11.329 9.801 8.853 9.337 8.831 8.937 9.191 9.177 19598900 2.45 2.42 2.39 2.22 1.92 1.74 1.83 1.73 1.75 1.80 1.80 2.00 -HK.02121 4.756 5.328 6.613 5.254 6.182 4.435 3.65 4.715 5.762 6.245 6.262 557342000 26.51 29.70 36.86 29.28 34.45 24.72 20.34 26.28 32.11 34.81 34.90 30.00 -HK.02122 ֹ֪ 0.049 0.042 0.037 0.049 0.043 0.06 0.059 0.059 0.064 0.061 0.079 1105910000 0.54 0.46 0.41 0.54 0.48 0.66 0.65 0.65 0.71 0.67 0.87 0.61 -HK.02125 0.641 0.595 0.569 0.529 0.579 0.581 0.453 0.552 0.575 0.575 0.607 706041000 4.53 4.20 4.02 3.73 4.09 4.10 3.20 3.90 4.06 4.06 4.29 4.02 -HK.02126 ҩŵ-B 1.748 1.369 1.329 1.311 1.834 2.01 1.527 1.68 2.353 3.603 5.285 416360000 7.28 5.70 5.53 5.46 7.64 8.37 6.36 6.99 9.80 15.00 22.00 9.10 -HK.02128 й 3.862 3.494 3.358 3.081 3.21 3.287 3.907 3.723 4.048 4.496 4.772 3102420000 119.82 108.40 104.18 95.59 99.59 101.98 121.21 115.50 125.59 139.48 148.05 116.31 -HK.02129 LEGION CONSO 0.102 0.103 0.101 0.101 0.103 0.107 0.131 0.138 0.13 0.133 0.127 1250000000 1.28 1.29 1.26 1.26 1.29 1.34 1.64 1.73 1.63 1.66 1.59 1.45 -HK.02130 3.573 3.467 3.426 3.408 3.39 3.408 3.425 3.383 3.43 3.401 3.337 300489000 10.74 10.42 10.29 10.24 10.19 10.24 10.29 10.17 10.31 10.22 10.03 10.28 -HK.02132 ع 0.169 0.164 0.163 0.161 0.146 0.135 0.105 0.097 0.104 0.094 0.105 1600000000 2.70 2.62 2.61 2.58 2.34 2.16 1.68 1.55 1.66 1.50 1.68 2.10 -HK.02135 ҽ 0.143 0.125 0.109 0.097 0.104 0.118 0.114 0.114 0.12 0.12 0.124 557077000 0.80 0.70 0.61 0.54 0.58 0.66 0.64 0.64 0.67 0.67 0.69 0.65 -HK.02136 й 0.778 0.746 1.012 0.933 0.808 0.75 0.625 0.649 0.645 0.698 0.693 1464450000 11.39 10.92 14.82 13.66 11.83 10.98 9.15 9.50 9.45 10.22 10.15 11.10 -HK.02137 ʢҩ-B 1.163 1.046 0.926 1.109 1.44 2.394 1.846 1.838 1.841 1.901 2.067 719377000 8.37 7.52 6.66 7.98 10.36 17.22 13.28 13.22 13.24 13.68 14.87 11.49 -HK.02138 ҽ˼ 0.852 0.689 0.692 0.623 0.689 0.713 0.632 0.626 0.603 0.6 0.733 1185210000 10.10 8.17 8.20 7.38 8.17 8.45 7.49 7.42 7.15 7.11 8.69 8.03 -HK.02139 0.298 0.274 0.26 0.242 0.25 0.241 0.229 0.235 0.255 0.291 0.29 3793800000 11.31 10.40 9.86 9.18 9.48 9.14 8.69 8.92 9.67 11.04 11.00 9.88 -HK.02142 Ͳҽҩ-B 1.31 1.199 1.325 2.774 4.691 7.821 7.543 8.846 8.548 8.65 10.682 826402000 10.83 9.91 10.95 22.92 38.77 64.63 62.34 73.10 70.64 71.48 88.28 47.62 -HK.02145 ɷ 39.83 31.491 34.048 35.525 36.063 42.976 53.096 67.744 70.169 78.548 88.769 206319000 82.18 64.97 70.25 73.29 74.40 88.67 109.55 139.77 144.77 162.06 183.15 108.46 -HK.02146 1.592 1.447 1.586 1.582 1.491 1.478 1.446 1.491 1.43 1.308 1.271 94000000 1.50 1.36 1.49 1.49 1.40 1.39 1.36 1.40 1.34 1.23 1.19 1.38 -HK.02147 ζ 0.041 0.042 0.043 0.037 0.037 0.044 0.036 0.035 0.037 0.037 0.042 1120000000 0.46 0.47 0.48 0.41 0.41 0.49 0.40 0.39 0.41 0.41 0.47 0.44 -HK.02149 ΢ 27.486 29.181 28.198 26.942 30.075 34.698 46.937 47.48 64.683 58.743 59.073 18000000 4.95 5.25 5.08 4.85 5.41 6.25 8.45 8.55 11.64 10.57 10.63 7.42 -HK.02150 ѩIJ 1.543 1.49 1.478 1.19 1.406 1.306 0.997 1.142 1.227 1.574 1.545 1705010000 26.31 25.40 25.20 20.29 23.97 22.27 17.00 19.47 20.92 26.84 26.34 23.09 -HK.02152 · 6.561 6.299 6.308 6.381 6.153 5.28 4.444 4.539 4.664 5.932 5.96 26047000 1.71 1.64 1.64 1.66 1.60 1.38 1.16 1.18 1.21 1.55 1.55 1.48 -HK.02153 豸 1.253 1.272 1.214 1.054 1.173 1.253 1.128 1.1 1.048 1.043 1.085 1166870000 14.62 14.84 14.17 12.30 13.69 14.62 13.16 12.84 12.23 12.17 12.66 13.39 -HK.02155 ɭɹ 4.933 4.333 4.058 4.402 4.881 6.841 5.114 6.063 6.044 7.293 9.363 1245420000 61.44 53.96 50.54 54.82 60.79 85.20 63.69 75.51 75.27 90.83 116.61 71.70 -HK.02156 ҵ 2.577 2.318 2.343 2.352 2.341 2.685 2.281 2.431 2.632 2.828 2.855 1408260000 36.29 32.64 33.00 33.12 32.97 37.81 32.12 34.23 37.07 39.83 40.21 35.39 -HK.02157 -B 3.348 3.082 2.763 2.469 3.147 3.386 4.079 4.492 5.469 6.4 9.313 1804440000 60.41 55.61 49.86 44.55 56.79 61.10 73.60 81.06 98.68 115.48 168.05 78.65 -HK.02158 ҽɿƼ 3.731 4.904 5.279 4.419 7.034 6.682 5.444 5.825 6.211 6.1 6.482 1064520000 39.72 52.20 56.20 47.04 74.88 71.13 57.95 62.01 66.12 64.94 69.00 60.11 -HK.02159 0.378 0.388 0.436 0.46 0.513 0.493 0.454 0.456 0.603 1.088 1.559 280000000 1.06 1.09 1.22 1.29 1.44 1.38 1.27 1.28 1.69 3.05 4.37 1.74 -HK.02160 ͨҽ-B 0.83 0.704 0.695 0.701 0.86 1.099 0.858 0.837 0.93 1.126 1.379 2412620000 20.02 16.98 16.77 16.91 20.75 26.51 20.70 20.19 22.44 27.17 33.27 21.97 -HK.02161 0.804 1.238 1.755 1.674 1.72 1.701 1.867 2.221 2.685 3.011 2.901 822000000 6.61 10.18 14.43 13.76 14.14 13.98 15.35 18.26 22.07 24.75 23.85 16.12 -HK.02162 ŵ-B 42.8 41.124 36.59 29.229 33.845 38.052 43.495 41.94 46.731 53.534 69.073 298736000 127.86 122.85 109.31 87.32 101.11 113.68 129.94 125.29 139.60 159.93 206.35 129.38 -HK.02165 ÷ 1.431 1.461 1.251 1.263 1.348 1.301 1.263 1.256 1.33 1.59 1.635 285685000 4.09 4.17 3.57 3.61 3.85 3.72 3.61 3.59 3.80 4.54 4.67 3.93 -HK.02166 оǿع 1.699 1.58 1.501 1.588 1.638 1.525 1.616 1.622 1.697 1.774 1.792 488681000 8.30 7.72 7.34 7.76 8.00 7.45 7.90 7.93 8.29 8.67 8.76 8.01 -HK.02167 2.371 2.23 2.209 2.112 2.51 2.582 2.425 2.556 2.525 3.109 5.478 173573000 4.12 3.87 3.83 3.67 4.36 4.48 4.21 4.44 4.38 5.40 9.51 4.75 -HK.02168 ҵ 2.314 1.769 1.59 1.602 1.708 1.74 1.647 1.534 1.531 1.566 1.642 154110000 3.57 2.73 2.45 2.47 2.63 2.68 2.54 2.36 2.36 2.41 2.53 2.61 -HK.02169 ׸· 0.992 0.891 1.354 1.415 1.413 1.395 1.214 1.461 1.697 1.412 1.33 4000000000 39.68 35.64 54.16 56.60 56.52 55.80 48.56 58.44 67.88 56.48 53.20 53.00 -HK.02170 ҽ-B 2.427 3.253 2.868 2.755 3.011 3.518 3.16 2.922 2.909 2.816 3.192 82713800 2.01 2.69 2.37 2.28 2.49 2.91 2.61 2.42 2.41 2.33 2.64 2.47 -HK.02171 Ƽҩҵ-B 4.322 6.601 8.407 9.992 11.871 14.174 13.652 19.079 22.204 22.775 21.162 575986000 24.89 38.02 48.42 57.55 68.38 81.64 78.63 109.89 127.89 131.18 121.89 80.76 -HK.02172 ΢Կѧ 9.657 9.414 8.849 8.445 10.734 11.635 10.172 10.373 12.771 12.948 15.088 575535000 55.58 54.18 50.93 48.60 61.78 66.96 58.54 59.70 73.50 74.52 86.84 62.83 -HK.02175 йͨŽ 1.175 1.226 1.482 2.168 3.254 3.271 2.743 2.647 2.664 2.442 2.054 505517000 5.94 6.20 7.49 10.96 16.45 16.54 13.87 13.38 13.47 12.34 10.38 11.55 -HK.02176 Ϲ 0.795 0.748 0.769 0.797 0.933 0.984 1.223 1.38 1.416 1.437 1.925 209000000 1.66 1.56 1.61 1.67 1.95 2.06 2.56 2.88 2.96 3.00 4.02 2.36 -HK.02177 Ȥع 1.022 0.85 0.85 0.813 0.921 0.988 1.727 1.823 2.992 2.731 2.85 165895000 1.70 1.41 1.41 1.35 1.53 1.64 2.87 3.02 4.96 4.53 4.73 2.65 -HK.02178 ͷ 0.074 0.068 0.058 0.062 0.065 0.061 0.051 0.046 0.07 0.071 0.074 1726670000 1.28 1.17 1.00 1.07 1.12 1.05 0.88 0.79 1.21 1.23 1.28 1.10 -HK.02179 -B 8.559 8.302 8.361 8.459 8.811 7.833 7.165 8.737 8.32 8 7.789 316139000 27.06 26.25 26.43 26.74 27.86 24.76 22.65 27.62 26.30 25.29 24.62 25.96 -HK.02180 ʢ 4.324 4.067 3.978 3.926 3.804 3.928 3.972 3.976 4.039 5.029 5.602 207505000 8.97 8.44 8.25 8.15 7.89 8.15 8.24 8.25 8.38 10.44 11.62 8.80 -HK.02181 ҩҵ-B 0.364 0.341 0.303 0.263 0.298 0.52 0.487 0.444 0.487 0.508 0.639 4124080000 15.01 14.06 12.50 10.85 12.29 21.45 20.08 18.31 20.08 20.95 26.35 17.45 -HK.02182 쳤 0.354 0.354 0.346 0.304 0.298 0.34 0.334 0.336 0.357 0.382 0.367 620000000 2.19 2.19 2.15 1.88 1.85 2.11 2.07 2.08 2.21 2.37 2.28 2.13 -HK.02185 İ-B 1.871 1.785 1.673 1.569 1.776 2.71 2.281 2.51 3.508 3.858 5.173 235703000 4.41 4.21 3.94 3.70 4.19 6.39 5.38 5.92 8.27 9.09 12.19 6.15 -HK.02186 Ҷҩ 3.144 2.684 2.319 2.072 2.262 2.35 1.947 2.098 3.335 3.751 3.882 3835760000 120.60 102.95 88.95 79.48 86.76 90.14 74.68 80.47 127.92 143.88 148.90 104.07 -HK.02187 ſع 0.68 0.593 0.604 0.571 0.563 0.53 0.446 0.482 0.495 0.487 0.435 748000000 5.09 4.44 4.52 4.27 4.21 3.96 3.34 3.61 3.70 3.64 3.25 4.00 -HK.02188 ̩̹Դ 0.307 0.308 0.308 0.307 0.302 0.289 0.289 0.282 0.278 0.283 0.279 1492030000 4.58 4.60 4.60 4.58 4.51 4.31 4.31 4.21 4.15 4.22 4.16 4.38 -HK.02189 ()ع 0.523 0.517 0.486 0.49 0.477 0.471 0.448 0.473 0.463 0.448 0.448 1000000000 5.23 5.17 4.86 4.90 4.77 4.71 4.48 4.73 4.63 4.48 4.48 4.77 -HK.02190 鴴ͨ 12.094 10.975 11.255 11.077 12.161 14.349 16.992 19.205 19.485 21.503 22.679 318129000 38.47 34.91 35.81 35.24 38.69 45.65 54.06 61.10 61.99 68.41 72.15 49.68 -HK.02191 ˳᷿ 2.937 2.888 2.935 2.963 2.962 2.945 2.658 2.812 2.964 3.052 3.012 820356000 24.09 23.69 24.08 24.31 24.30 24.16 21.81 23.07 24.32 25.04 24.71 23.96 -HK.02192 ҽͨ 8.675 8.936 9.815 8.615 11.973 13.763 11.683 11.987 15.202 14.663 14.976 734259000 63.70 65.61 72.07 63.26 87.91 101.06 85.78 88.02 111.62 107.66 109.96 86.97 -HK.02193 򾰿ع 0.2 0.216 0.212 0.197 0.196 0.197 0.191 0.205 0.233 0.211 0.206 419594000 0.84 0.91 0.89 0.83 0.82 0.83 0.80 0.86 0.98 0.89 0.86 0.86 -HK.02195 ӯҵع 0.08 0.065 0.065 0.063 0.057 0.053 0.048 0.045 0.044 0.046 0.055 1409520000 1.13 0.92 0.92 0.89 0.80 0.75 0.68 0.63 0.62 0.65 0.78 0.80 -HK.02196 ҽҩ 14.79 14.393 13.838 13.006 14.546 14.948 14.005 13.91 16.091 17.652 19.718 540972000 80.01 77.86 74.86 70.36 78.69 80.86 75.76 75.25 87.05 95.49 106.67 82.08 -HK.02197 Ҷ-B 0.363 0.3 0.265 0.227 0.281 0.308 0.204 0.219 0.258 0.422 0.629 1297120000 4.71 3.89 3.44 2.94 3.64 4.00 2.65 2.84 3.35 5.47 8.16 4.10 -HK.02198 й 1.66 1.762 1.681 1.71 1.863 1.852 1.638 1.779 1.75 1.77 1.888 1190000000 19.75 20.97 20.00 20.35 22.17 22.04 19.49 21.17 20.83 21.06 22.47 20.94 -HK.02199 ά 2.297 2.206 2.071 2.097 1.96 1.84 1.701 1.678 1.656 1.954 1.835 1224250000 28.12 27.01 25.35 25.67 24.00 22.53 20.82 20.54 20.27 23.92 22.46 23.70 -HK.02202 ҵ 7.974 6.87 6.105 5.107 5.833 6.02 5.606 5.264 4.939 5.27 5.065 2206510000 175.95 151.59 134.71 112.69 128.71 132.83 123.70 116.15 108.98 116.28 111.76 128.49 -HK.02203 ԶƼ 0.322 0.246 0.239 0.189 0.225 0.208 0.185 0.181 0.184 0.194 0.206 800000000 2.58 1.97 1.91 1.51 1.80 1.66 1.48 1.45 1.47 1.55 1.65 1.73 -HK.02205 0.781 0.705 0.695 0.716 0.778 0.749 0.603 0.674 0.664 0.708 0.681 700000000 5.47 4.94 4.87 5.01 5.45 5.24 4.22 4.72 4.65 4.96 4.77 4.93 -HK.02208 Ƽ 6.394 6.322 6.935 5.983 5.018 5.184 4.481 5.668 6.826 7.218 8.005 773572000 49.46 48.91 53.65 46.28 38.82 40.10 34.66 43.85 52.80 55.84 61.92 47.84 -HK.02209 ع 5.359 4.103 4.504 4.798 2.789 2.831 3.327 4.169 5.225 5.597 4.762 412398000 22.10 16.92 18.57 19.79 11.50 11.67 13.72 17.19 21.55 23.08 19.64 17.79 -HK.02210 Ǽҵ 3.559 3.299 3.194 3.279 3.389 3.493 3.047 3.055 3.186 3.429 3.149 36667200 1.30 1.21 1.17 1.20 1.24 1.28 1.12 1.12 1.17 1.26 1.15 1.20 -HK.02211 󽡿 1.219 1.21 1.446 1.388 1.437 1.532 1.011 1.002 1.046 1.221 1.339 80106000 0.98 0.97 1.16 1.11 1.15 1.23 0.81 0.80 0.84 0.98 1.07 1.01 -HK.02212 ҵ 0.165 0.151 0.13 0.122 0.122 0.105 0.089 0.09 0.1 0.111 0.1 1053260000 1.74 1.59 1.37 1.28 1.28 1.11 0.94 0.95 1.05 1.17 1.05 1.23 -HK.02215 ŷ 1.602 1.55 1.396 1.043 1.146 0.853 0.875 0.83 0.804 0.79 0.764 917881000 14.70 14.23 12.81 9.57 10.52 7.83 8.03 7.62 7.38 7.25 7.01 9.72 -HK.02216 Ҳҽ-B 0.54 0.474 0.55 0.623 0.724 0.756 1.382 2.212 2.195 2.372 3.007 526531000 2.84 2.50 2.90 3.28 3.81 3.98 7.28 11.65 11.56 12.49 15.83 7.10 -HK.02218 ֭ 8.382 8.138 8.431 8.376 8.413 9.599 9.884 16.714 16.753 18.219 18.306 70664000 5.92 5.75 5.96 5.92 5.94 6.78 6.98 11.81 11.84 12.87 12.94 8.43 -HK.02219 ۿ 2.993 2.791 2.727 2.649 2.974 2.944 2.443 2.618 2.747 2.979 3.034 707510000 21.18 19.75 19.29 18.74 21.04 20.83 17.28 18.52 19.44 21.08 21.47 19.87 -HK.02221 ҵſع 0.104 0.081 0.107 0.1 0.099 0.084 0.038 0.037 0.073 0.067 0.086 1827630000 1.90 1.48 1.96 1.83 1.81 1.54 0.69 0.68 1.33 1.22 1.57 1.46 -HK.02222 ʿ 0.908 0.967 0.949 0.927 0.907 0.892 0.787 0.839 0.81 0.755 0.789 507274000 4.61 4.91 4.81 4.70 4.60 4.52 3.99 4.26 4.11 3.83 4.00 4.39 -HK.02223 콿 0.3 0.307 0.269 0.26 0.257 0.259 0.276 0.293 0.272 0.26 0.275 257854000 0.77 0.79 0.69 0.67 0.66 0.67 0.71 0.76 0.70 0.67 0.71 0.71 -HK.02225 ҽƿƼ 1.462 2.043 1.88 1.416 1.403 1.403 1.337 1.306 1.373 1.614 1.398 5290000000 77.34 108.07 99.45 74.91 74.22 74.22 70.73 69.09 72.63 85.38 73.95 80.00 -HK.02226 Ϻ 0.768 0.705 0.663 0.578 0.556 0.58 0.612 0.654 0.691 0.661 0.626 578750000 4.44 4.08 3.84 3.35 3.22 3.36 3.54 3.79 4.00 3.83 3.62 3.73 -HK.02227 ع 0.08 0.085 0.086 0.089 0.084 0.078 0.075 0.078 0.098 0.101 0.102 915600000 0.73 0.78 0.79 0.81 0.77 0.71 0.69 0.71 0.90 0.92 0.93 0.80 -HK.02228 ̩ع 9.909 5.459 4.946 4.838 6.771 6.395 4.846 4.631 5.514 5.848 7.68 4017000000 398.04 219.29 198.68 194.34 271.99 256.89 194.66 186.03 221.50 234.91 308.51 244.08 -HK.02230  0.128 0.139 0.182 0.18 0.179 0.201 0.211 0.237 0.303 0.283 0.278 1992000000 2.55 2.77 3.63 3.59 3.57 4.00 4.20 4.72 6.04 5.64 5.54 4.20 -HK.02231 ҵ 0.402 0.339 0.31 0.3 0.249 0.265 0.324 0.223 0.192 0.367 0.25 1646170000 6.62 5.58 5.10 4.94 4.10 4.36 5.33 3.67 3.16 6.04 4.12 4.82 -HK.02232 Է 3.9 4.077 4.091 4.173 4.629 5.286 4.252 4.614 4.668 5.407 5.96 2852820000 111.26 116.31 116.71 119.05 132.06 150.80 121.30 131.63 133.17 154.25 170.03 132.41 -HK.02233 ˮ 1.093 1.319 1.662 1.455 1.509 1.553 1.428 1.456 1.385 1.805 2.262 5462530000 59.71 72.05 90.79 79.48 82.43 84.83 78.00 79.53 75.66 98.60 123.56 84.06 -HK.02235 ΢̩ҽ-B 4.373 4.502 5.183 5.438 4.966 5.605 6.141 6.205 6.186 6.436 6.944 166684000 7.29 7.50 8.64 9.06 8.28 9.34 10.24 10.34 10.31 10.73 11.57 9.39 -HK.02236 0.177 0.169 0.19 0.225 0.341 0.311 0.263 0.285 0.35 0.401 0.387 4073770000 7.21 6.88 7.74 9.17 13.89 12.67 10.71 11.61 14.26 16.34 15.77 11.48 -HK.02237 йʯī 0.423 0.38 0.391 0.366 0.378 0.36 0.311 0.293 0.345 0.36 0.363 1600000000 6.77 6.08 6.26 5.86 6.05 5.76 4.98 4.69 5.52 5.76 5.81 5.77 -HK.02238 2.879 3.067 3.495 3.072 3.126 3.159 2.839 2.783 2.791 3.098 3.243 2813370000 81.00 86.29 98.33 86.43 87.95 88.87 79.87 78.30 78.52 87.16 91.24 85.81 -HK.02239 ΢ع 1.008 1.122 0.935 0.922 0.789 0.896 0.816 0.988 0.99 1.017 0.983 324932000 3.28 3.65 3.04 3.00 2.56 2.91 2.65 3.21 3.22 3.30 3.19 3.09 -HK.02245 Դ 6.952 7.673 7.136 5.827 5.848 8.488 9.133 9.098 9.606 13.055 15.027 550694000 38.28 42.25 39.30 32.09 32.20 46.74 50.29 50.10 52.90 71.89 82.75 48.98 -HK.02246 칷 5.819 5.14 4.8 4.25 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-HK.02268 ҩ 23.895 25.121 30.455 29.666 31.808 39.29 35.371 37.655 41.712 49.959 59.035 1204520000 287.82 302.59 366.84 357.33 383.13 473.26 426.05 453.56 502.43 601.77 711.09 442.35 -HK.02269 ҩ 17.606 15.712 17.366 17.476 22.431 25.424 21.758 23.685 25.524 28.275 30.658 4070510000 716.65 639.56 706.88 711.36 913.06 1034.89 885.66 964.10 1038.96 1150.94 1247.94 910.00 -HK.02270 ̲Ͷ 1.421 1.206 1.122 1.146 1.246 1.3 1.224 1.308 1.537 1.59 1.832 620259000 8.81 7.48 6.96 7.11 7.73 8.06 7.59 8.11 9.53 9.86 11.36 8.42 -HK.02271 ڰǻ 1.221 1.158 0.563 0.495 0.556 0.652 0.667 0.717 0.976 1.56 4.372 517414000 6.32 5.99 2.91 2.56 2.88 3.37 3.45 3.71 5.05 8.07 22.62 6.09 -HK.02273 40.24 36.066 32.483 27.919 31.47 37.366 30.543 33.208 35.226 35.573 33.895 236015000 94.97 85.12 76.66 65.89 74.27 88.19 72.09 78.38 83.14 83.96 80.00 80.24 -HK.02276 عѧ 14.667 14.378 16.588 24.541 27.023 28.039 23.541 26.5 35.212 41.843 43.045 479925000 70.39 69.00 79.61 117.78 129.69 134.57 112.98 127.18 168.99 200.82 206.58 128.87 -HK.02279 Ӻҽ 1.049 0.8 0.892 0.855 0.913 1.092 0.997 1.107 1.218 2.463 2.948 525224000 5.51 4.20 4.68 4.49 4.80 5.74 5.24 5.81 6.40 12.94 15.48 6.84 -HK.02280 ۴ϼ 0.195 0.171 0.173 0.179 0.202 0.185 0.168 0.163 0.173 0.149 0.155 1309930000 2.55 2.24 2.27 2.34 2.65 2.42 2.20 2.14 2.27 1.95 2.03 2.28 -HK.02281 ˮ 0.614 0.572 0.558 0.554 0.558 0.587 0.544 0.555 0.6 0.655 0.761 214940000 1.32 1.23 1.20 1.19 1.20 1.26 1.17 1.19 1.29 1.41 1.64 1.28 -HK.02282 ÷й 10.638 9.505 9.603 10.178 10.016 10.713 9.495 10.885 11.41 15.383 16.255 3820590000 406.43 363.15 366.89 388.86 382.67 409.30 362.77 415.87 435.93 587.72 621.04 430.97 -HK.02283 ſع 1.605 1.628 1.929 1.907 1.765 2.001 1.795 1.944 2.143 2.345 2.457 833260000 13.37 13.57 16.07 15.89 14.71 16.67 14.96 16.20 17.86 19.54 20.47 16.30 -HK.02285 Ȫع 19.37 15.771 15.194 16.378 17.025 16.629 11.067 12.736 14.685 17.482 21.362 511054000 98.99 80.60 77.65 83.70 87.01 84.98 56.56 65.09 75.05 89.34 109.17 82.56 -HK.02286 ˷չ 0.649 0.38 0.307 0.267 0.281 0.27 0.243 0.208 0.177 0.214 0.241 600000000 3.89 2.28 1.84 1.60 1.69 1.62 1.46 1.25 1.06 1.28 1.45 1.77 -HK.02288 ʱ 0.125 0.159 0.158 0.135 0.165 0.159 0.153 0.159 0.159 0.157 0.158 375447000 0.47 0.60 0.59 0.51 0.62 0.60 0.57 0.60 0.60 0.59 0.59 0.58 -HK.02289 ҩҵ 7.795 8.849 8.671 9.1 7.601 7.322 7.201 7.256 6.991 6.977 6.358 108000000 8.42 9.56 9.36 9.83 8.21 7.91 7.78 7.84 7.55 7.54 6.87 8.26 -HK.02291 ̩ҽ 16.546 16.8 17.139 15.798 16.462 17.224 17.731 20.741 21.353 22.909 25.926 346750000 57.37 58.25 59.43 54.78 57.08 59.72 61.48 71.92 74.04 79.44 89.90 65.77 -HK.02292 ʵҵ 0.857 0.848 0.688 0.591 0.52 0.6 0.6 0.74 0.733 0.734 0.731 720000000 6.17 6.11 4.95 4.26 3.74 4.32 4.32 5.33 5.28 5.28 5.26 5.00 -HK.02293 ٱҽ 0.59 0.597 0.652 0.662 0.653 0.609 0.564 0.533 0.507 0.536 0.572 402460000 2.37 2.40 2.62 2.66 2.63 2.45 2.27 2.15 2.04 2.16 2.30 2.37 -HK.02295 ǿع 2.644 2.648 2.9 2.742 2.681 2.884 3.142 3.351 6.846 6.824 5.272 400000000 10.58 10.59 11.60 10.97 10.72 11.54 12.57 13.40 27.38 27.30 21.09 15.25 -HK.02297 -B 0.173 0.159 0.161 0.154 0.148 0.159 0.178 0.178 0.204 0.264 0.354 1401360000 2.42 2.23 2.26 2.16 2.07 2.23 2.49 2.49 2.86 3.70 4.96 2.72 -HK.02298 0.274 0.266 0.258 0.262 0.254 0.256 0.232 0.226 0.223 0.29 0.378 2249460000 6.16 5.98 5.80 5.89 5.71 5.76 5.22 5.08 5.02 6.52 8.50 5.97 -HK.02299 ٺʵҵ 4.091 4.587 4.439 4.366 4.475 4.38 4.424 4.426 4.492 4.483 4.417 2112450000 86.42 96.90 93.77 92.23 94.53 92.53 93.45 93.50 94.89 94.70 93.31 93.29 -HK.02302 к˹ 1.762 1.682 1.623 1.655 1.64 1.739 1.655 2.222 3.756 3.776 3.799 489168000 8.62 8.23 7.94 8.10 8.02 8.51 8.10 10.87 18.37 18.47 18.58 11.25 -HK.02306 ֻ 0.663 0.641 0.663 0.623 0.634 0.606 0.603 1.522 2.955 2.716 2.197 834546000 5.53 5.35 5.53 5.20 5.29 5.06 5.03 12.70 24.66 22.67 18.33 10.49 -HK.02307 ˹ʿع 0.144 0.136 0.123 0.119 0.122 0.129 0.145 0.143 0.146 0.175 0.176 869919000 1.25 1.18 1.07 1.04 1.06 1.12 1.26 1.24 1.27 1.52 1.53 1.23 -HK.02309 δ 2.209 2.43 2.638 2.253 2.209 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6.48 5.91 6.84 -HK.03301 й 0.689 0.526 0.442 0.283 0.312 0.318 0.227 0.221 0.211 0.214 0.204 1683430000 11.60 8.85 7.44 4.76 5.25 5.35 3.82 3.72 3.55 3.60 3.43 5.58 -HK.03302 0.156 0.128 0.117 0.128 0.116 0.122 0.102 0.119 0.124 0.129 0.154 920393000 1.44 1.18 1.08 1.18 1.07 1.12 0.94 1.10 1.14 1.19 1.42 1.17 -HK.03303 κʯͷ 0.63 0.699 0.681 0.711 0.654 0.65 0.637 0.659 0.66 0.658 0.633 2131600000 13.43 14.90 14.52 15.16 13.94 13.86 13.58 14.05 14.07 14.03 13.49 14.09 -HK.03306 ϲ 14.95 13.84 15.476 16.524 16.387 14.684 14.139 14.947 16.601 18.425 18.3 518750000 77.55 71.80 80.28 85.72 85.01 76.17 73.35 77.54 86.12 95.58 94.93 82.19 -HK.03309 ϣҽ 2.458 2.101 1.996 1.899 1.937 1.658 1.492 1.698 1.734 1.8 1.835 1246830000 30.65 26.20 24.89 23.68 24.15 20.67 18.60 21.17 21.62 22.44 22.88 23.36 -HK.03311 й 11.772 11.041 11.549 11.527 11.538 11.479 10.495 10.815 11.844 11.805 11.78 5282220000 621.82 583.21 610.04 608.88 609.46 606.35 554.37 571.27 625.63 623.57 622.25 603.35 -HK.03313 Ÿ߿ع 0.364 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5.124 5.191 5.218 5.48 5.99 5.887 6.233 6.458 7.909 7.639 4764530000 254.43 244.13 247.33 248.61 261.10 285.40 280.49 296.97 307.69 376.83 363.96 287.90 -HK.03363 ҵ 0.366 0.359 0.375 0.357 0.363 0.383 0.379 0.381 0.383 0.444 0.448 500000000 1.83 1.80 1.88 1.79 1.82 1.92 1.90 1.91 1.92 2.22 2.24 1.93 -HK.03366 ȳ() 0.306 0.24 0.23 0.234 0.224 0.193 0.185 0.194 0.193 0.196 0.204 748366000 2.29 1.80 1.72 1.75 1.68 1.44 1.38 1.45 1.44 1.47 1.53 1.63 -HK.03368 ʢ 0.12 0.111 0.105 0.106 0.104 0.094 0.091 0.089 0.089 0.098 0.111 2634530000 3.16 2.92 2.77 2.79 2.74 2.48 2.40 2.34 2.34 2.58 2.92 2.68 -HK.03369 ظ۹ɷ 2.017 1.807 1.874 1.938 2.038 2.085 2.116 2.067 2.15 2.271 2.255 829853000 16.74 15.00 15.55 16.08 16.91 17.30 17.56 17.15 17.84 18.85 18.71 17.06 -HK.03377 Զ 0.372 0.325 0.281 0.232 0.259 0.24 0.181 0.126 0.099 0.107 0.112 11148900000 41.47 36.23 31.33 25.87 28.88 26.76 20.18 14.05 11.04 11.93 12.49 23.66 -HK.03380 ⼯ 1.06 1.057 1.098 0.98 1.001 0.996 0.862 0.847 0.841 1.001 0.905 5685410000 60.27 60.09 62.43 55.72 56.91 56.63 49.01 48.16 47.81 56.91 51.45 55.03 -HK.03382 ۷չ 0.644 0.587 0.573 0.604 0.619 0.616 0.571 0.604 0.642 0.701 0.738 6158000000 39.66 36.15 35.29 37.19 38.12 37.93 35.16 37.19 39.53 43.17 45.45 38.62 -HK.03383 žּ 1.104 0.88 0.82 0.638 0.63 0.607 0.467 0.451 0.41 0.472 0.463 5046050000 55.71 44.41 41.38 32.19 31.79 30.63 23.57 22.76 20.69 23.82 23.36 31.85 -HK.03389 0.133 0.127 0.128 0.126 0.122 0.106 0.095 0.098 0.104 0.124 0.129 4404020000 5.86 5.59 5.64 5.55 5.37 4.67 4.18 4.32 4.58 5.46 5.68 5.17 -HK.03390 Ἧ 3.678 3.594 3.459 3.412 3.452 3.708 1.976 0.444 0.395 0.358 0.327 894000000 32.88 32.13 30.92 30.50 30.86 33.15 17.67 3.97 3.53 3.20 2.92 20.16 -HK.03393 ʤع 5.581 6.064 6.522 6.832 7.789 7.205 7.381 7.8 7.544 8.965 8.756 995880000 55.58 60.39 64.95 68.04 77.57 71.75 73.51 77.68 75.13 89.28 87.20 72.83 -HK.03395 Դ 0.234 0.142 0.181 0.187 0.145 0.11 0.078 0.077 0.313 0.442 0.424 585435000 1.37 0.83 1.06 1.09 0.85 0.64 0.46 0.45 1.83 2.59 2.48 1.24 -HK.03396 ع 7.793 7.51 7.647 7.296 8.911 9.035 7.393 8.014 8.39 9.638 10.521 1271850000 99.12 95.52 97.26 92.79 113.33 114.91 94.03 101.93 106.71 122.58 133.81 106.54 -HK.03398 ع 0.177 0.182 0.162 0.166 0.154 0.127 0.123 0.11 0.109 0.103 0.11 2099820000 3.72 3.82 3.40 3.49 3.23 2.67 2.58 2.31 2.29 2.16 2.31 2.91 -HK.03399 ˽ͨ 1.361 1.275 1.198 1.22 1.383 1.478 1.343 1.449 1.494 1.582 1.878 207000000 2.82 2.64 2.48 2.53 2.86 3.06 2.78 3.00 3.09 3.27 3.89 2.95 -HK.03600 ִ 3.664 3.581 4.007 3.963 3.888 3.802 4.041 3.982 4.172 4.257 4.698 934850000 34.25 33.48 37.46 37.05 36.35 35.54 37.78 37.23 39.00 39.80 43.92 37.44 -HK.03601 ³ʦ 0.81 0.765 0.723 0.718 0.752 0.74 0.833 0.898 0.971 1.005 1.081 269000000 2.18 2.06 1.94 1.93 2.02 1.99 2.24 2.42 2.61 2.70 2.91 2.27 -HK.03603 ŻɳϪ 0.051 0.048 0.046 0.045 0.046 0.047 0.043 0.041 0.041 0.04 0.047 1492940000 0.76 0.72 0.69 0.67 0.69 0.70 0.64 0.61 0.61 0.60 0.70 0.67 -HK.03606 ҫ 53.313 51.973 52.113 50.871 51.358 53.139 49.563 54.892 56.676 57.777 56.719 606757000 323.48 315.35 316.20 308.66 311.62 322.42 300.73 333.06 343.89 350.57 344.15 324.56 -HK.03613 ͬùҩ 8.274 7.801 8.064 7.788 7.859 8.103 8.223 8.301 8.571 9.201 9.2 837100000 69.26 65.30 67.50 65.19 65.79 67.83 68.83 69.49 71.75 77.02 77.01 69.54 -HK.03618 ũҵ 4.014 3.883 4.152 4.509 4.74 4.945 5.395 6.315 6.703 6.758 6.314 2513340000 100.89 97.59 104.35 113.33 119.13 124.28 135.59 158.72 168.47 169.85 158.69 131.90 -HK.03623 йڷչ 0.942 0.868 0.854 0.83 0.811 0.788 0.8 1.018 1.129 1.153 1.193 629613000 5.93 5.47 5.38 5.23 5.11 4.96 5.04 6.41 7.11 7.26 7.51 5.94 -HK.03626 HSSP INTL 0.249 0.248 0.247 0.235 0.275 0.538 7.994 9.733 10.621 9.259 8.152 184000000 0.46 0.46 0.45 0.43 0.51 0.99 14.71 17.91 19.54 17.04 15.00 7.95 -HK.03628 ʺʵҵع 0.189 0.168 0.126 0.118 0.123 0.112 0.111 0.118 0.111 0.159 0.169 804000000 1.52 1.35 1.01 0.95 0.99 0.90 0.89 0.95 0.89 1.28 1.36 1.10 -HK.03633 ԣԴ 4.43 4.462 4.49 4.406 4.332 4.075 4.237 4.229 4.166 3.969 3.782 2748310000 121.75 122.63 123.40 121.09 119.06 111.99 116.45 116.23 114.49 109.08 103.94 116.37 -HK.03638 Ӽ 4.626 4.213 4.572 4.564 4.927 5.02 5.183 8.123 8.76 12.912 17.218 77423800 3.58 3.26 3.54 3.53 3.81 3.89 4.01 6.29 6.78 10.00 13.33 5.64 -HK.03639 ڴй 0.084 0.073 0.063 0.085 0.093 2583970000 0.00 0.00 0.00 0.00 0.00 0.00 2.17 1.89 1.63 2.20 2.40 0.93 -HK.03650 KEEP 6.54 6.216 6.079 4.94 6.456 5.27 4.214 4.457 4.988 5.252 6.428 514237000 33.63 31.96 31.26 25.40 33.20 27.10 21.67 22.92 25.65 27.01 33.06 28.44 -HK.03658 ϣ 1.923 1.887 1.896 1.879 1.886 1.986 1.768 1.772 1.862 1.984 1.891 814126000 15.66 15.36 15.44 15.30 15.35 16.17 14.39 14.43 15.16 16.15 15.40 15.35 -HK.03660 渻Ƽ-S 124.423 126.328 144.725 144.485 160.37 166.337 151.408 170.95 166.429 159.7 131.577 264858000 329.54 334.59 383.32 382.68 424.75 440.56 401.02 452.77 440.80 422.98 348.49 396.50 -HK.03662 ÿ 0.484 0.418 0.373 0.56 0.547 0.529 0.512 0.523 0.528 0.563 0.576 726250000 3.52 3.04 2.71 4.07 3.97 3.84 3.72 3.80 3.83 4.09 4.18 3.71 -HK.03666 ϺСϹ 0.026 0.025 0.023 0.021 0.022 0.025 0.025 0.025 0.026 0.028 0.029 2655640000 0.69 0.66 0.61 0.56 0.58 0.66 0.66 0.66 0.69 0.74 0.77 0.66 -HK.03668 úĴ 30.041 29.713 28.957 26.935 27.017 26.194 23.834 25.713 28.874 32.111 32.695 1320440000 396.67 392.34 382.36 355.66 356.74 345.88 314.71 339.52 381.26 424.01 431.72 374.63 -HK.03669 1.622 1.771 2.228 2.373 2.526 2.785 2.36 2.48 2.223 2.227 2.147 1854910000 30.09 32.85 41.33 44.02 46.86 51.66 43.78 46.00 41.23 41.31 39.82 41.72 -HK.03677 8.434 9.174 10.501 10.22 11.148 1439370000 0.00 0.00 0.00 0.00 0.00 0.00 121.40 132.05 151.15 147.10 160.46 64.74 -HK.03678 ҵڻ 3.3 2.959 2.833 2.566 2.689 2.615 2.348 3.096 3.867 4.831 4.612 249700000 8.24 7.39 7.07 6.41 6.71 6.53 5.86 7.73 9.66 12.06 11.52 8.11 -HK.03680 0.937 1.133 1.003 1.078 1 0.955 0.646 0.799 1.021 1.338 2.134 790868000 7.41 8.96 7.93 8.53 7.91 7.55 5.11 6.32 8.07 10.58 16.88 8.66 -HK.03681 й-B 1.331 1.162 1.077 1.006 1.065 1.195 1.251 1.316 2.252 2.516 3.226 1361670000 18.12 15.82 14.67 13.70 14.50 16.27 17.03 17.92 30.66 34.26 43.93 21.54 -HK.03683 ٷڿع 0.176 0.188 0.156 0.125 0.124 0.115 0.121 0.114 0.116 0.114 0.087 952614000 1.68 1.79 1.49 1.19 1.18 1.10 1.15 1.09 1.11 1.09 0.83 1.24 -HK.03686 0.331 0.348 0.346 0.38 0.46 0.478 0.461 0.484 0.53 0.609 0.638 1015750000 3.36 3.53 3.51 3.86 4.67 4.86 4.68 4.92 5.38 6.19 6.48 4.68 -HK.03688 ɹ 0.49 0.514 0.494 0.495 0.475 0.399 0.308 0.336 0.329 0.372 0.397 1412730000 6.92 7.26 6.98 6.99 6.71 5.64 4.35 4.75 4.65 5.26 5.61 5.92 -HK.03689 ҽ 2.056 1.959 1.816 2.148 1.954 1.857 1.805 1.758 1.781 1.835 1.938 84394000 1.74 1.65 1.53 1.81 1.65 1.57 1.52 1.48 1.50 1.55 1.64 1.60 -HK.03690 -W 187.848 177.362 161.345 148.526 161.045 168.505 139.863 136.625 136.186 125.323 121.792 6111050000 11479.49 10838.68 9859.87 9076.50 9841.54 10297.42 8547.10 8349.22 8322.39 7658.55 7442.77 9246.69 -HK.03692 ɭҩ 20.529 17.742 18.171 16.722 18.166 19.93 22.831 24.258 28.194 33.573 36.454 5947150000 1220.89 1055.14 1080.66 994.48 1080.36 1185.27 1357.79 1442.66 1676.74 1996.64 2167.97 1387.15 -HK.03698 2.224 2.1 2.165 2.204 2.331 2.38 2.472 2.811 3.277 3.458 3.413 3478750000 77.37 73.05 75.31 76.67 81.09 82.79 85.99 97.79 114.00 120.30 118.73 91.19 -HK.03699 0.375 0.368 0.353 0.327 0.394 0.36 0.331 0.363 0.382 0.402 0.398 441400000 1.66 1.62 1.56 1.44 1.74 1.59 1.46 1.60 1.69 1.77 1.76 1.63 -HK.03700 ӳ 1.037 1.476 2.089 1.754 1.84 1.801 1.428 1.395 1.22 1.339 1.308 1937440000 20.09 28.60 40.47 33.98 35.65 34.89 27.67 27.03 23.64 25.94 25.34 29.39 -HK.03708 йӦҵ 0.021 0.017 0.016 0.017 0.018 0.017 0.016 0.016 0.015 0.015 0.015 6712800000 1.41 1.14 1.07 1.14 1.21 1.14 1.07 1.07 1.01 1.01 1.01 1.12 -HK.03709 Ӯʱ 8.495 8.301 8.434 8.006 7.821 7.243 6.847 7.501 7.677 7.348 7.088 704050000 59.81 58.44 59.38 56.37 55.06 50.99 48.21 52.81 54.05 51.73 49.90 54.25 -HK.03718 سԴ 0.501 0.479 0.462 0.426 0.367 0.359 0.328 0.332 0.349 0.362 0.357 3556660000 17.82 17.04 16.43 15.15 13.05 12.77 11.67 11.81 12.41 12.88 12.70 13.97 -HK.03728 ع 0.047 0.043 0.039 0.034 0.032 0.037 0.03 0.03 0.035 0.037 0.068 1013000000 0.48 0.44 0.40 0.34 0.32 0.37 0.30 0.30 0.35 0.37 0.69 0.40 -HK.03737 ҩҵ 0.906 0.875 0.887 0.952 0.915 0.881 0.849 0.874 0.836 0.845 0.828 863600000 7.82 7.56 7.66 8.22 7.90 7.61 7.33 7.55 7.22 7.30 7.15 7.57 -HK.03738 2.758 3.353 3.44 3.237 3.782 4.163 3.354 3.534 3.221 3.642 4.848 2453000000 67.65 82.25 84.38 79.40 92.77 102.12 82.27 86.69 79.01 89.34 118.92 87.71 -HK.03750 ʱ 314.763 308.039 392.732 412.129 155915000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 490.76 480.28 612.33 642.57 202.36 -HK.03759 15.861 14.39 13.949 13.168 15.75 16.026 13.109 13.684 15.831 19.202 21.898 294274000 46.67 42.35 41.05 38.75 46.35 47.16 38.58 40.27 46.59 56.51 64.44 46.25 -HK.03768 ˮ 0.629 0.638 0.63 0.649 0.634 0.626 0.585 0.601 0.597 0.655 0.7 340023000 2.14 2.17 2.14 2.21 2.16 2.13 1.99 2.04 2.03 2.23 2.38 2.15 -HK.03773 ʢ 2.979 2.935 2.902 2.781 2.441 1.73 1.638 1.477 1.452 1.488 1.609 415000000 12.36 12.18 12.04 11.54 10.13 7.18 6.80 6.13 6.03 6.18 6.68 8.84 -HK.03778 й֯Ŀع 0.448 0.447 0.453 0.46 0.456 0.4 0.388 0.381 0.375 0.366 0.361 1252350000 5.61 5.60 5.67 5.76 5.71 5.01 4.86 4.77 4.70 4.58 4.52 5.16 -HK.03788 й 0.836 0.793 0.756 0.773 0.841 0.927 1.014 1.211 1.977 2.561 2.462 1960000000 16.39 15.54 14.82 15.15 16.48 18.17 19.87 23.74 38.75 50.20 48.26 25.21 -HK.03789 ѿع 0.061 0.061 0.062 0.06 0.062 0.054 0.055 0.053 0.055 0.057 0.062 1200000000 0.73 0.73 0.74 0.72 0.74 0.65 0.66 0.64 0.66 0.68 0.74 0.70 -HK.03798 绥 1.51 1.353 1.397 1.383 1.202 1.12 1.062 1.119 1.19 1.198 1.113 1283400000 19.38 17.36 17.93 17.75 15.43 14.37 13.63 14.36 15.27 15.38 14.28 15.92 -HK.03800 ЭοƼ 1.38 1.489 1.241 1.134 1.223 1.12 0.816 0.841 0.871 1.212 1.187 28480800000 393.04 424.08 353.45 322.97 348.32 318.98 232.40 239.52 248.07 345.19 338.07 324.01 -HK.03808 й 21.836 20.752 21.8 22.347 21.225 21.752 18.257 18.848 20.611 23.575 23.642 2760990000 602.89 572.96 601.90 617.00 586.02 600.57 504.07 520.39 569.07 650.90 652.75 588.96 -HK.03813 ʤ 0.564 0.534 0.489 0.472 0.525 0.567 0.475 0.473 0.506 0.523 0.512 5326180000 30.04 28.44 26.05 25.14 27.96 30.20 25.30 25.19 26.95 27.86 27.27 27.31 -HK.03816 KFM 0.29 0.27 0.259 0.254 0.305 0.316 0.321 0.322 0.31 0.312 0.355 600000000 1.74 1.62 1.55 1.52 1.83 1.90 1.93 1.93 1.86 1.87 2.13 1.81 -HK.03818 й 0.357 0.337 0.344 0.333 0.373 0.414 0.357 0.402 0.404 0.436 0.485 5893270000 21.04 19.86 20.27 19.62 21.98 24.40 21.04 23.69 23.81 25.69 28.58 22.73 -HK.03822 ͽ 1.028 0.951 0.912 1.021 0.834 0.688 0.743 0.714 0.652 0.664 0.677 84000000 0.86 0.80 0.77 0.86 0.70 0.58 0.62 0.60 0.55 0.56 0.57 0.68 -HK.03828 Թ 0.7 0.716 0.717 0.715 0.73 0.863 0.757 0.801 0.804 0.861 0.894 734263000 5.14 5.26 5.26 5.25 5.36 6.34 5.56 5.88 5.90 6.32 6.56 5.71 -HK.03830 ͯ԰ 0.029 0.03 0.026 0.03 0.032 0.041 0.04 0.046 0.046 0.068 0.067 1000000000 0.29 0.30 0.26 0.30 0.32 0.41 0.40 0.46 0.46 0.68 0.67 0.41 -HK.03833 ½οҵ 0.898 0.804 0.777 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68.64 69.74 70.23 85.15 95.41 98.55 96.28 74.86 -HK.03868 Դ 0.836 0.761 0.752 0.708 0.746 0.92 0.851 0.894 1.014 1.278 1.197 8453240000 70.67 64.33 63.57 59.85 63.06 77.77 71.94 75.57 85.72 108.03 101.19 76.52 -HK.03869 ʰҽ 4.745 5.062 6.709 6.79 7.016 6.8 6.8 6.158 4.448 5.2 6.301 138194000 6.56 7.00 9.27 9.38 9.70 9.40 9.40 8.51 6.15 7.19 8.71 8.30 -HK.03877 й 1.568 1.529 1.62 1.639 1.612 1.588 1.567 1.685 1.946 2.2 2.195 6199220000 97.20 94.79 100.43 101.61 99.93 98.44 97.14 104.46 120.64 136.38 136.07 107.92 -HK.03878 VICON HOLDINGS 0.236 0.239 0.225 0.215 0.213 0.197 0.183 0.187 0.178 0.148 0.158 479600000 1.13 1.15 1.08 1.03 1.02 0.94 0.88 0.90 0.85 0.71 0.76 0.95 -HK.03880 ̩ҽҩ 30.8 33.345 34.51 73598900 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 22.67 24.54 25.40 6.60 -HK.03882 ʿع 1.14 1.145 1.146 1.258 1.198 1.097 1.064 1.125 1.04 1.045 0.92 1008590000 11.50 11.55 11.56 12.69 12.08 11.06 10.73 11.35 10.49 10.54 9.28 11.17 -HK.03883 й԰ 0.436 0.312 0.24 0.202 0.207 0.202 0.13 0.114 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489041000 156.06 134.37 142.19 141.95 145.68 159.39 143.09 156.04 154.62 155.77 167.21 150.58 -HK.03899 м 6.564 6.378 6.712 6.598 6.688 6.639 5.727 6.059 6.266 6.572 6.682 2028280000 133.14 129.36 136.14 133.83 135.65 134.66 116.16 122.89 127.09 133.30 135.53 130.70 -HK.03900 ̳й 9.212 9.408 9.18 8.497 9.253 11.825 10.03 9.225 9.356 10.112 10.393 2539600000 233.95 238.93 233.14 215.79 234.99 300.31 254.72 234.28 237.60 256.80 263.94 245.86 -HK.03908 н˾ 15.262 14.303 13.592 12.313 13.77 15.362 13.464 14.387 16.271 19.566 20.867 1903710000 290.54 272.29 258.75 234.40 262.14 292.45 256.32 273.89 309.75 372.48 397.25 292.75 -HK.03913 Ͼƻ 0.438 0.373 0.333 0.33 0.326 0.353 0.309 0.308 0.294 0.313 0.316 2025860000 8.87 7.56 6.75 6.69 6.60 7.15 6.26 6.24 5.96 6.34 6.40 6.80 -HK.03918 ع 3.448 3.117 2.952 2.908 3.091 3.484 3.109 3.507 3.713 4.124 4.41 4422990000 152.50 137.86 130.57 128.62 136.71 154.10 137.51 155.11 164.23 182.40 195.05 152.24 -HK.03919 1.002 0.98 1.02 1.091 0.908 0.975 1.006 1.059 1.062 1.003 1.023 32400000 0.32 0.32 0.33 0.35 0.29 0.32 0.33 0.34 0.34 0.32 0.33 0.33 -HK.03928 й۹Ӧ 3.8 3.573 2.848 3.138 2.883 2.727 2.164 1.895 1.856 1.989 4.46 480000000 18.24 17.15 13.67 15.06 13.84 13.09 10.39 9.10 8.91 9.55 21.41 13.67 -HK.03931 дº 12.659 12.302 12.762 12.852 15.262 18.504 16.093 17.389 16.801 19.016 20.382 611668000 77.43 75.25 78.06 78.61 93.35 113.18 98.44 106.36 102.77 116.31 124.67 96.77 -HK.03933 ҩ 10.295 9.874 11.098 11.009 12.328 14.353 12.829 12.988 15.319 15.109 15.346 1973030000 203.12 194.82 218.97 217.21 243.24 283.19 253.12 256.26 302.25 298.11 302.78 252.10 -HK.03938 LFGͶʿع 0.19 0.176 0.173 0.198 0.176 0.178 0.163 0.159 0.139 0.28 0.706 487156000 0.93 0.86 0.84 0.96 0.86 0.87 0.79 0.77 0.68 1.36 3.44 1.12 -HK.03939 ƽ 9.285 10.169 10.926 12.186 13.902 14.331 19 23.487 30.339 29.72 33.721 1083830000 100.63 110.21 118.42 132.08 150.67 155.32 205.93 254.56 328.82 322.11 365.48 204.02 -HK.03958 ֤ȯ 5.461 5.187 5.167 4.651 4.974 5.042 4.304 4.672 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1107750000 11.17 11.53 12.22 11.95 11.78 11.92 12.37 16.21 20.69 20.76 20.97 14.69 -HK.06806 Դ 2.511 2.564 2.411 2.097 2.291 2.32 1.982 2.121 2.342 3.11 3.488 2504000000 62.88 64.20 60.37 52.51 57.37 58.09 49.63 53.11 58.64 77.87 87.34 62.00 -HK.06808 1.991 2.068 2.41 1.789 1.726 1.9 1.893 2.019 2.503 2.305 2.204 9540500000 189.95 197.30 229.93 170.68 164.67 181.27 180.60 192.62 238.80 219.91 210.27 197.82 -HK.06811 ̫˼ 0.582 0.544 0.606 0.816 0.732 0.758 0.864 0.966 0.921 0.939 0.978 971419000 5.65 5.28 5.89 7.93 7.11 7.36 8.39 9.38 8.95 9.12 9.50 7.69 -HK.06812 ˳ع 0.198 0.155 0.133 0.119 0.159 0.183 0.12 0.153 0.146 0.148 0.142 600000000 1.19 0.93 0.80 0.71 0.95 1.10 0.72 0.92 0.88 0.89 0.85 0.90 -HK.06816 ۽ 0.125 0.125 0.117 0.101 0.1 0.102 0.096 0.101 0.106 0.118 0.168 800000000 1.00 1.00 0.94 0.81 0.80 0.82 0.77 0.81 0.85 0.94 1.34 0.92 -HK.06818 й 2.477 2.516 2.634 2.803 2.993 3.102 3.07 3.445 3.78 3.93 3.709 12678700000 314.05 319.00 333.96 355.38 379.47 393.29 389.24 436.78 479.25 498.27 470.25 397.18 -HK.06820 ʱ 0.673 0.657 0.598 0.565 0.574 0.578 0.536 0.604 0.958 0.868 0.71 2180850000 14.68 14.33 13.04 12.32 12.52 12.61 11.69 13.17 20.89 18.93 15.48 14.51 -HK.06821 Ӣ 58.662 54.75 51.423 47.13 54.136 54.703 47.469 59.576 73.613 92.952 97.658 27553300 16.16 15.09 14.17 12.99 14.92 15.07 13.08 16.42 20.28 25.61 26.91 17.34 -HK.06822 ƾ 0.391 0.395 0.386 0.378 0.376 0.368 0.329 0.353 0.366 0.421 0.442 700000000 2.74 2.77 2.70 2.65 2.63 2.58 2.30 2.47 2.56 2.95 3.09 2.68 -HK.06823 ۵Ѷ-SS 9.391 9.163 9.118 9.15 9.28 9.753 10.215 11.066 11.434 12.342 12.602 7579780000 711.82 694.54 691.12 693.55 703.40 739.26 774.27 838.78 866.67 935.50 955.20 782.19 -HK.06826 껺Ƽ 33.166 28.64 26.79 24.458 25.32 26.833 23.974 24.5 25.419 27.684 29.155 38529200 12.78 11.03 10.32 9.42 9.76 10.34 9.24 9.44 9.79 10.67 11.23 10.37 -HK.06828 ȼ 0.039 0.037 0.037 0.03 0.028 0.033 0.034 0.038 0.042 0.052 0.048 22736100000 8.87 8.41 8.41 6.82 6.37 7.50 7.73 8.64 9.55 11.82 10.91 8.64 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0.053 0.054 0.048 0.058 0.079 0.092 1023990000 1.05 0.60 0.55 0.53 0.51 0.54 0.55 0.49 0.59 0.81 0.94 0.65 -HK.08118 0.06 0.065 0.083 0.069 0.091 0.078 0.074 0.065 0.09 0.104 500000000 0.00 0.30 0.33 0.42 0.35 0.46 0.39 0.37 0.33 0.45 0.52 0.35 -HK.08120 ũͶ 0.45 0.45 0.457 0.479 0.434 0.41 0.397 0.455 0.459 0.513 0.49 135522000 0.61 0.61 0.62 0.65 0.59 0.56 0.54 0.62 0.62 0.70 0.66 0.62 -HK.08121 ع 0.892 0.807 0.692 0.704 0.808 0.762 0.672 0.622 0.715 0.669 0.666 25008000 0.22 0.20 0.17 0.18 0.20 0.19 0.17 0.16 0.18 0.17 0.17 0.18 -HK.08123 ڽ 0.011 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.01 7748960000 0.85 0.77 0.77 0.77 0.77 0.77 0.77 0.77 0.77 0.77 0.77 0.78 -HK.08125 ¿ع 0.411 0.33 0.304 0.305 0.32 0.345 0.317 0.328 0.274 0.27 0.281 180611000 0.74 0.60 0.55 0.55 0.58 0.62 0.57 0.59 0.49 0.49 0.51 0.57 -HK.08128 йԴ 0.045 0.045 0.046 0.042 0.04 0.038 0.039 0.042 0.041 0.042 0.041 4517800000 2.03 2.03 2.08 1.90 1.81 1.72 1.76 1.90 1.85 1.90 1.85 1.89 -HK.08131 Ƽ 0.094 0.083 0.073 0.075 0.109 0.097 0.087 0.089 0.09 0.095 0.086 475813000 0.45 0.39 0.35 0.36 0.52 0.46 0.41 0.42 0.43 0.45 0.41 0.42 -HK.08133 ʢſع 0.36 0.388 0.371 0.388 0.37 0.35 0.359 0.333 0.332 0.354 0.373 38184000 0.14 0.15 0.14 0.15 0.14 0.13 0.14 0.13 0.13 0.14 0.14 0.14 -HK.08136 Ӣ˹ 0.043 0.04 0.039 0.038 0.045 0.046 0.044 0.045 0.045 0.045 0.044 1000000000 0.43 0.40 0.39 0.38 0.45 0.46 0.44 0.45 0.45 0.45 0.44 0.43 -HK.08137 ż 0.377 0.536 0.616 0.547 0.592 0.567 0.431 0.555 0.617 0.553 0.606 14554500000 54.87 78.01 89.66 79.61 86.16 82.52 62.73 80.78 89.80 80.49 88.20 79.35 -HK.08139 ʺ 1.215 1.447 1.261 1.417 1.307 1.428 1.39 1.346 1.39 1.378 1.504 38400000 0.47 0.56 0.48 0.54 0.50 0.55 0.53 0.52 0.53 0.53 0.58 0.53 -HK.08140 ˺ͿƼ 0.105 0.107 0.106 0.107 0.103 0.102 0.098 0.113 0.12 0.131 0.131 800000000 0.84 0.86 0.85 0.86 0.82 0.82 0.78 0.90 0.96 1.05 1.05 0.89 -HK.08143 ҽ 0.078 0.083 0.069 0.059 0.059 0.059 0.063 0.083 0.13 0.13 0.122 1127300000 0.88 0.94 0.78 0.67 0.67 0.67 0.71 0.94 1.47 1.47 1.38 0.96 -HK.08146 ԰ҵ -0.022 -0.015 0.05 0.082 0.079 0.091 0.199 0.184 0.142 0.128 0.129 800600000 -0.18 -0.12 0.40 0.66 0.63 0.73 1.59 1.47 1.14 1.02 1.03 0.76 -HK.08147 ˼̫ƽ 0.29 0.286 0.305 0.299 0.29 0.295 0.281 0.267 0.262 0.257 0.253 172694000 0.50 0.49 0.53 0.52 0.50 0.51 0.49 0.46 0.45 0.44 0.44 0.48 -HK.08148 ϲ 0.269 0.37 0.771 0.83 1.253 1.575 1.15 0.92 0.717 381792000 1.03 1.41 2.94 3.17 4.78 6.01 0.00 0.00 4.39 3.51 2.74 2.73 -HK.08149 Ƶ¿ع 0.107 0.107 0.109 0.119 0.12 0.109 0.108 0.108 0.105 0.108 0.107 828420000 0.89 0.89 0.90 0.99 0.99 0.90 0.89 0.89 0.87 0.89 0.89 0.91 -HK.08152 ع 0.054 0.051 0.067 0.07 0.061 0.056 0.055 0.053 0.055 0.056 0.06 600000000 0.32 0.31 0.40 0.42 0.37 0.34 0.33 0.32 0.33 0.34 0.36 0.35 -HK.08153 ζʼ 0.16 0.171 0.173 0.165 0.104 0.157 0.105 0.122 0.186 0.085 0.064 385169000 0.62 0.66 0.67 0.64 0.40 0.60 0.40 0.47 0.72 0.33 0.25 0.52 -HK.08156 ҩƼɷ 0.104 0.11 0.116 0.121 0.111 0.118 0.167 0.251 0.348 633693000 0.00 0.00 0.66 0.70 0.74 0.77 0.70 0.75 1.06 1.59 2.21 0.83 -HK.08158 йҽѧ 0.556 0.382 0.354 0.296 0.267 0.279 0.372 0.367 0.422 0.585 0.901 304252000 1.69 1.16 1.08 0.90 0.81 0.85 1.13 1.12 1.28 1.78 2.74 1.32 -HK.08159 »Ͷ 0.132 704000000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.93 0.08 -HK.08160 GOLDWAY EDU 0.307 0.264 0.266 0.258 0.282 0.299 0.283 0.296 0.299 0.375 0.473 145272000 0.45 0.38 0.39 0.37 0.41 0.43 0.41 0.43 0.43 0.54 0.69 0.45 -HK.08161 ҽ㼯 0.285 0.271 0.317 0.508 0.466 0.347 0.33 0.33 0.334 0.413 0.454 41600000 0.12 0.11 0.13 0.21 0.19 0.14 0.14 0.14 0.14 0.17 0.19 0.15 -HK.08162 ع 0.374 0.373 0.418 0.564 0.553 0.571 0.526 0.534 0.534 0.538 0.523 995285000 3.72 3.71 4.16 5.61 5.50 5.68 5.24 5.31 5.31 5.35 5.21 4.98 -HK.08163 Ｏ 0.081 0.081 0.142 0.12 0.038 0.057 0.079 0.107 0.106 0.108 0.105 925256000 0.75 0.75 1.31 1.11 0.35 0.53 0.73 0.99 0.98 1.00 0.97 0.86 -HK.08168 ʱ 0.041 0.032 0.078 0.098 0.089 0.066 0.06 0.063 0.056 0.05 0.05 1204700000 0.49 0.39 0.94 1.18 1.07 0.80 0.72 0.76 0.67 0.60 0.60 0.75 -HK.08169 0.038 0.052 0.046 0.039 0.039 0.036 0.031 0.03 0.029 0.03 0.033 649540000 0.25 0.34 0.30 0.25 0.25 0.23 0.20 0.19 0.19 0.19 0.21 0.24 -HK.08172 0.562 0.542 0.477 0.498 0.442 0.257 0.254 0.261 0.298 0.298 0.266 420913000 2.37 2.28 2.01 2.10 1.86 1.08 1.07 1.10 1.25 1.25 1.12 1.59 -HK.08173 ˼ع 0.322 0.252 0.168 0.17 0.157 0.148 0.124 0.124 0.111 0.122 0.198 215347000 0.69 0.54 0.36 0.37 0.34 0.32 0.27 0.27 0.24 0.26 0.43 0.37 -HK.08176 0.173 0.155 0.123 0.101 0.199 0.167 0.144 0.117 0.094 0.099 0.126 715501000 1.24 1.11 0.88 0.72 1.42 1.19 1.03 0.84 0.67 0.71 0.90 0.97 -HK.08178 йϢƼ 3.614 3.88 3.45 3.263 3.196 3.066 3.128 3.016 3.136 2.923 2.858 73265200 2.65 2.84 2.53 2.39 2.34 2.25 2.29 2.21 2.30 2.14 2.09 2.37 -HK.08179 Ｏſع 0.102 0.104 0.109 0.091 0.089 0.077 0.037 0.023 0.018 0.015 0.015 1907800000 1.95 1.98 2.08 1.74 1.70 1.47 0.71 0.44 0.34 0.29 0.29 1.18 -HK.08181 ܹ 0.111 0.124 0.106 0.084 0.086 0.079 0.071 0.064 0.056 0.062 0.069 1128990000 1.25 1.40 1.20 0.95 0.97 0.89 0.80 0.72 0.63 0.70 0.78 0.94 -HK.08186 { 1.874 1.494 1.025 0.749 0.636 0.364 0.249 0.222 0.198 0.254 0.378 113869000 2.13 1.70 1.17 0.85 0.72 0.41 0.28 0.25 0.23 0.29 0.43 0.77 -HK.08187 ľ 0.456 1.244 1.435 1.115 1.201 1.058 0.964 0.977 0.863 0.466 0.209 151684000 0.69 1.89 2.18 1.69 1.82 1.60 1.46 1.48 1.31 0.71 0.32 1.38 -HK.08188 ܼſع 0.317 0.316 0.324 0.432 0.46 0.479 0.51 0.67 0.858 0.914 1.025 481900000 1.53 1.52 1.56 2.08 2.22 2.31 2.46 3.23 4.13 4.40 4.94 2.76 -HK.08189 ̩ 0.193 0.245 0.277 0.363 0.474 0.506 0.447 0.433 0.399 0.458 0.463 1436400000 2.77 3.52 3.98 5.21 6.81 7.27 6.42 6.22 5.73 6.58 6.65 5.56 -HK.08191 ΰ 0.218 0.204 0.195 0.22 0.198 0.204 0.194 0.188 0.188 0.198 0.197 63187200 0.14 0.13 0.12 0.14 0.13 0.13 0.12 0.12 0.12 0.13 0.12 0.13 -HK.08193 ̫Ͷ 0.153 0.15 0.15 0.15 0.147 0.133 0.093 0.197 0.226 0.263 0.199 279812000 0.43 0.42 0.42 0.42 0.41 0.37 0.26 0.55 0.63 0.74 0.56 0.47 -HK.08195 н 1.655 1.584 1.575 1.548 1.657 1.6 1.494 1.448 1.409 1.425 1.479 458463000 7.59 7.26 7.22 7.10 7.60 7.34 6.85 6.64 6.46 6.53 6.78 7.03 -HK.08196 ɷ 0.716 0.773 0.915 0.94 0.856 0.631 0.401 0.511 0.66 1.18 0.966 37937400 0.27 0.29 0.35 0.36 0.32 0.24 0.15 0.19 0.25 0.45 0.37 0.29 -HK.08198 ݿƼ 0.249 0.271 0.258 0.261 0.477 1.55 2.057 2.053 2.199 3.117 3.491 685563000 1.71 1.86 1.77 1.79 3.27 10.63 14.10 14.07 15.08 21.37 23.93 9.96 -HK.08200 0.557 0.511 0.495 0.422 0.422 0.42 0.424 0.449 0.481 0.492 0.587 78842000 0.44 0.40 0.39 0.33 0.33 0.33 0.33 0.35 0.38 0.39 0.46 0.38 -HK.08201 ع 0.058 0.058 0.056 0.058 0.061 0.061 0.061 0.071 0.076 0.073 0.073 540000000 0.31 0.31 0.30 0.31 0.33 0.33 0.33 0.38 0.41 0.39 0.39 0.35 -HK.08203 ˳ع 0.261 0.316 0.336 0.359 0.34 0.313 0.244 0.216 0.275 0.263 0.231 583416000 1.52 1.84 1.96 2.09 1.98 1.83 1.42 1.26 1.60 1.53 1.35 1.67 -HK.08205 ۹ 0.23 0.237 0.291 0.273 0.28 0.37 0.263 0.34 0.276 0.323 0.358 132000000 0.30 0.31 0.38 0.36 0.37 0.49 0.35 0.45 0.36 0.43 0.47 0.39 -HK.08206 ͨ˽ 0.043 0.038 0.054 0.058 0.079 0.144 0.116 0.107 0.076 0.077 0.072 1895700000 0.82 0.72 1.02 1.10 1.50 2.73 2.20 2.03 1.44 1.46 1.36 1.49 -HK.08208 WMCH GLOBAL 0.033 0.031 0.032 0.031 0.03 0.035 0.034 0.035 0.032 0.031 0.043 720000000 0.24 0.22 0.23 0.22 0.22 0.25 0.24 0.25 0.23 0.22 0.31 0.24 -HK.08210 ܻ 0.058 0.053 0.055 0.055 0.054 0.055 0.049 0.046 0.045 0.045 0.05 800000000 0.46 0.42 0.44 0.44 0.43 0.44 0.39 0.37 0.36 0.36 0.40 0.41 -HK.08213 Ϳع 0.456 0.433 0.406 0.393 0.358 0.42 0.424 0.399 0.345 0.326 0.32 555058000 2.53 2.40 2.25 2.18 1.99 2.33 2.35 2.21 1.91 1.81 1.78 2.16 -HK.08217 0.144 0.151 0.189 0.226 0.206 0.194 0.211 0.215 0.269 0.298 0.274 301860000 0.43 0.46 0.57 0.68 0.62 0.59 0.64 0.65 0.81 0.90 0.83 0.65 -HK.08219 ΰſع 0.174 0.146 0.135 0.133 0.193 0.289 0.168 0.167 0.184 0.209 0.206 247500000 0.43 0.36 0.33 0.33 0.48 0.72 0.42 0.41 0.46 0.52 0.51 0.45 -HK.08220 ȸ߼ 2.08 2.067 2.725 3.424 3.995 3.71 3.456 3.42 3.413 4.025 4.208 103494000 2.15 2.14 2.82 3.54 4.13 3.84 3.58 3.54 3.53 4.17 4.36 3.44 -HK.08221 ԣ 2.214 1.255 1.195 1.168 1.153 0.907 0.822 1.08 0.867 1.069 1.218 47600000 1.05 0.60 0.57 0.56 0.55 0.43 0.39 0.51 0.41 0.51 0.58 0.56 -HK.08222 Ҽ 0.057 0.048 0.047 0.041 0.043 0.041 0.042 0.048 0.044 0.04 0.037 451036000 0.26 0.22 0.21 0.18 0.19 0.18 0.19 0.22 0.20 0.18 0.17 0.20 -HK.08223 ԪԪ 2.196 1.908 1.716 1.493 1.432 1.464 2.042 1.449 1.482 1.121 0.892 430000000 9.44 8.20 7.38 6.42 6.16 6.30 8.78 6.23 6.37 4.82 3.84 6.72 -HK.08225 йҽƼ 0.172 0.175 0.184 0.188 0.183 0.178 0.154 0.16 0.171 0.174 0.171 995352000 1.71 1.74 1.83 1.87 1.82 1.77 1.53 1.59 1.70 1.73 1.70 1.73 -HK.08226 ܽڼ 0.149 0.138 0.134 0.127 0.126 0.133 0.13 0.129 0.131 0.148 0.125 417504000 0.62 0.58 0.56 0.53 0.53 0.56 0.54 0.54 0.55 0.62 0.52 0.56 -HK.08227 ߿ع 0.401 0.33 0.314 0.306 0.283 0.273 0.255 0.243 0.241 0.234 0.224 645765000 2.59 2.13 2.03 1.98 1.83 1.76 1.65 1.57 1.56 1.51 1.45 1.82 -HK.08229 δݼ 0.401 0.373 0.371 0.443 0.431 0.435 0.383 0.42 0.337 0.345 0.476 550680000 2.21 2.05 2.04 2.44 2.37 2.40 2.11 2.31 1.86 1.90 2.62 2.21 -HK.08232 CLASSIFIED GP 0.344 0.451 0.491 0.513 0.593 0.739 1.024 1.036 1.094 2.007 3.346 55750000 0.19 0.25 0.27 0.29 0.33 0.41 0.57 0.58 0.61 1.12 1.87 0.59 -HK.08237 ǿع 0.552 0.546 0.579 0.542 0.464 0.284 0.256 0.19 0.165 0.187 0.205 201024000 1.11 1.10 1.16 1.09 0.93 0.57 0.51 0.38 0.33 0.38 0.41 0.73 -HK.08238 ռ 0.486 0.423 0.337 0.35 0.35 0.277 0.195 0.169 0.206 0.193 0.188 87091200 0.42 0.37 0.29 0.30 0.30 0.24 0.17 0.15 0.18 0.17 0.16 0.25 -HK.08239 ׶ڿع 0.546 0.565 0.466 0.539 0.484 0.55 0.598 0.678 0.749 1.534 3.227 93841500 0.51 0.53 0.44 0.51 0.45 0.52 0.56 0.64 0.70 1.44 3.03 0.85 -HK.08241 ӢDzׯ 0.151 0.135 0.129 0.126 0.125 0.122 0.11 0.104 0.108 0.109 0.117 361650000 0.55 0.49 0.47 0.46 0.45 0.44 0.40 0.38 0.39 0.39 0.42 0.44 -HK.08245 ԣſع 0.108 0.102 0.104 0.123 0.217 0.26 0.211 0.199 0.19 0.213 0.173 206821000 0.22 0.21 0.22 0.25 0.45 0.54 0.44 0.41 0.39 0.44 0.36 0.36 -HK.08246 лȼ 0.175 0.182 0.179 0.178 0.145 0.108 0.119 0.116 0.121 0.154 0.149 4263620000 7.46 7.76 7.63 7.59 6.18 4.60 5.07 4.95 5.16 6.57 6.35 6.30 -HK.08247 Ƽ 0.717 0.81 0.787 0.676 0.62 0.619 0.608 0.638 0.674 0.679 0.854 64286100 0.46 0.52 0.51 0.43 0.40 0.40 0.39 0.41 0.43 0.44 0.55 0.45 -HK.08249 Զǿ 0.093 0.092 0.088 0.086 0.104 0.14 0.137 0.141 0.128 0.128 0.233 130000000 0.12 0.12 0.11 0.11 0.14 0.18 0.18 0.18 0.17 0.17 0.30 0.16 -HK.08250 ع 0.164 0.17 0.158 0.152 0.156 0.158 0.151 0.145 0.136 0.144 0.154 364628000 0.60 0.62 0.58 0.55 0.57 0.58 0.55 0.53 0.50 0.53 0.56 0.56 -HK.08257 0.084 0.07 0.064 0.083 0.08 0.07 0.058 0.059 0.063 0.074 0.07 1000000000 0.84 0.70 0.64 0.83 0.80 0.70 0.58 0.59 0.63 0.74 0.70 0.70 -HK.08262 ǿع 0.027 0.026 0.024 0.068 0.077 0.063 0.101 0.099 0.103 0.093 0.078 923290000 0.25 0.24 0.22 0.63 0.71 0.58 0.93 0.91 0.95 0.86 0.72 0.64 -HK.08267 ۻ 0.341 0.48 0.578 0.479 0.392 0.304 0.256 0.27 0.296 0.567 0.658 369493000 1.26 1.77 2.14 1.77 1.45 1.12 0.95 1.00 1.09 2.10 2.43 1.55 -HK.08268 dzǷչع 0.634 0.606 1.012 1.317 1.064 0.786 0.539 0.624 0.709 0.677 0.411 288000000 1.83 1.75 2.91 3.79 3.06 2.26 1.55 1.80 2.04 1.95 1.18 2.19 -HK.08269 ع 0.064 0.061 0.071 0.071 0.061 0.046 0.043 0.087 0.132 0.451 0.483 890723000 0.57 0.54 0.63 0.63 0.54 0.41 0.38 0.77 1.18 4.02 4.30 1.27 -HK.08270 йú 0.405 0.376 0.357 0.412 0.449 0.357 0.299 0.297 0.3 0.29 0.293 390451000 1.58 1.47 1.39 1.61 1.75 1.39 1.17 1.16 1.17 1.13 1.14 1.36 -HK.08271 봴 0.085 0.077 0.08 0.076 0.071 0.065 0.062 0.057 0.054 0.049 0.064 1503310000 1.28 1.16 1.20 1.14 1.07 0.98 0.93 0.86 0.81 0.74 0.96 1.01 -HK.08275 йѼ 0.107 0.125 0.102 0.121 0.137 0.2 0.174 0.178 0.16 0.142 0.139 815988000 0.87 1.02 0.83 0.99 1.12 1.63 1.42 1.45 1.31 1.16 1.13 1.18 -HK.08277 ع 0.232 0.164 0.19 0.175 0.143 0.101 0.099 0.096 0.096 0.095 0.116 262473000 0.61 0.43 0.50 0.46 0.38 0.27 0.26 0.25 0.25 0.25 0.30 0.36 -HK.08279 DzƼع 0.205 0.21 0.202 0.2 0.206 0.202 0.199 0.201 0.21 0.244 0.273 11672300000 23.93 24.51 23.58 23.34 24.04 23.58 23.23 23.46 24.51 28.48 31.87 24.96 -HK.08280 йƵ 0.043 0.034 0.034 0.042 0.081 0.087 0.059 0.05 0.06 0.061 0.058 630332000 0.27 0.21 0.21 0.26 0.51 0.55 0.37 0.32 0.38 0.38 0.37 0.35 -HK.08281 й伯 0.109 0.11 0.11 0.109 0.084 0.066 0.065 0.062 0.061 0.082 0.102 1000000000 1.09 1.10 1.10 1.09 0.84 0.66 0.65 0.62 0.61 0.82 1.02 0.87 -HK.08282 ǰع 0.663 0.548 0.558 0.537 0.534 0.505 0.422 0.401 0.524 0.571 0.708 38000000 0.25 0.21 0.21 0.20 0.20 0.19 0.16 0.15 0.20 0.22 0.27 0.21 -HK.08283 ʳ 3.098 2.85 2.553 2.389 2.303 0.726 0.444 0.435 0.597 0.771 0.604 57600000 1.78 1.64 1.47 1.38 1.33 0.42 0.26 0.25 0.34 0.44 0.35 0.88 -HK.08285 ɭƼ 0.023 0.025 0.027 0.024 0.025 0.028 0.026 0.026 0.031 0.033 0.033 560000000 0.13 0.14 0.15 0.13 0.14 0.16 0.15 0.15 0.17 0.18 0.18 0.15 -HK.08286 ΢ 0.098 0.096 0.078 0.054 0.08 0.1 0.092 0.092 0.088 0.094 0.146 110000000 0.11 0.11 0.09 0.06 0.09 0.11 0.10 0.10 0.10 0.10 0.16 0.10 -HK.08290 Ʊ 0.021 0.02 0.019 0.019 0.02 0.018 0.018 0.018 0.019 0.019 0.02 2000000000 0.42 0.40 0.38 0.38 0.40 0.36 0.36 0.36 0.38 0.38 0.40 0.38 -HK.08291 0.093 0.091 0.116 0.158 0.16 0.137 0.118 0.071 0.086 0.079 0.093 160000000 0.15 0.15 0.19 0.25 0.26 0.22 0.19 0.11 0.14 0.13 0.15 0.17 -HK.08292 ʢ 0.078 0.068 0.062 0.074 0.095 0.23 0.319 0.366 0.455 0.599 0.631 1078320000 0.84 0.73 0.67 0.80 1.02 2.48 3.44 3.95 4.91 6.46 6.80 2.92 -HK.08293 ǿع 0.065 0.063 0.054 0.051 0.052 0.055 0.05 0.05 0.063 0.118 0.163 215040000 0.14 0.14 0.12 0.11 0.11 0.12 0.11 0.11 0.14 0.25 0.35 0.15 -HK.08295 ۿƼ 0.053 0.04 0.04 0.044 0.052 0.052 0.05 0.046 0.042 0.037 0.04 4776020000 2.53 1.91 1.91 2.10 2.48 2.48 2.39 2.20 2.01 1.77 1.91 2.15 -HK.08296 й 0.391 0.274 0.399 0.41 0.416 0.418 0.436 0.376 0.327 0.477 0.449 94500000 0.37 0.26 0.38 0.39 0.39 0.40 0.41 0.36 0.31 0.45 0.42 0.38 -HK.08299 ƻƽ 0.155 0.144 0.139 0.123 0.116 0.104 0.143 0.206 0.331 0.296 0.239 7428200000 11.51 10.70 10.33 9.14 8.62 7.73 10.62 15.30 24.59 21.99 17.75 13.48 -HK.08300 ׷ 0.103 0.133 0.106 0.094 0.086 0.074 0.062 0.057 0.057 0.099 0.145 2643360000 2.72 3.52 2.80 2.48 2.27 1.96 1.64 1.51 1.51 2.62 3.83 2.44 -HK.08305 ʥƿع 0.041 0.062 0.121 0.248 0.253 0.33 0.306 0.289 0.257 0.272 0.248 1260000000 0.52 0.78 1.52 3.12 3.19 4.16 3.86 3.64 3.24 3.43 3.12 2.78 -HK.08307 ܵ˹ 0.196 0.191 0.176 0.125 0.18 0.187 0.16 0.168 0.169 0.172 0.214 396736000 0.78 0.76 0.70 0.50 0.71 0.74 0.63 0.67 0.67 0.68 0.85 0.70 -HK.08308 Ŷع 0.142 0.141 0.144 0.149 0.139 0.119 0.121 0.098 0.064 0.053 0.064 1365800000 1.94 1.93 1.97 2.04 1.90 1.63 1.65 1.34 0.87 0.72 0.87 1.53 -HK.08309 ɻع 0.064 0.067 0.066 0.065 0.065 0.066 0.06 0.062 0.064 0.06 0.056 600000000 0.38 0.40 0.40 0.39 0.39 0.40 0.36 0.37 0.38 0.36 0.34 0.38 -HK.08310 γǸ 0.304 0.32 0.412 0.471 0.473 0.473 0.449 0.453 0.422 0.435 0.44 1288000000 3.92 4.12 5.31 6.07 6.09 6.09 5.78 5.83 5.44 5.60 5.67 5.45 -HK.08311 Բ 0.041 0.034 0.029 0.03 0.033 0.03 0.027 0.026 0.032 0.04 0.042 1483690000 0.61 0.50 0.43 0.45 0.49 0.45 0.40 0.39 0.47 0.59 0.62 0.49 -HK.08313 ܵؼ 0.025 0.027 0.024 0.023 0.019 0.02 0.019 0.018 0.019 0.018 0.027 2000000000 0.50 0.54 0.48 0.46 0.38 0.40 0.38 0.36 0.38 0.36 0.54 0.43 -HK.08315 ¶Ƶ 0.227 0.216 0.145 0.054 0.052 0.047 0.043 0.152 0.136 0.184 0.173 581442000 1.32 1.26 0.84 0.31 0.30 0.27 0.25 0.88 0.79 1.07 1.01 0.76 -HK.08316 й 0.325 0.275 0.232 0.207 0.188 0.206 0.206 0.198 0.198 0.187 0.185 953376000 3.10 2.62 2.21 1.97 1.79 1.96 1.96 1.89 1.89 1.78 1.76 2.09 -HK.08317 ƻ缯 0.086 0.083 0.077 0.07 0.081 0.075 0.071 0.069 0.069 0.066 0.071 999808000 0.86 0.83 0.77 0.70 0.81 0.75 0.71 0.69 0.69 0.66 0.71 0.74 -HK.08319 ˼ϵͳ 0.112 0.111 0.102 0.106 0.107 0.108 0.101 0.108 0.111 0.113 0.112 803280000 0.90 0.89 0.82 0.85 0.86 0.87 0.81 0.87 0.89 0.91 0.90 0.87 -HK.08320 Ȼ 0.109 0.102 0.107 0.109 0.106 0.107 0.102 0.108 0.103 0.098 0.094 733190000 0.80 0.75 0.78 0.80 0.78 0.78 0.75 0.79 0.76 0.72 0.69 0.76 -HK.08321 ̩ع 0.228 0.264 0.302 0.298 0.278 0.262 0.231 0.228 0.228 0.267 0.232 246400000 0.56 0.65 0.74 0.73 0.68 0.65 0.57 0.56 0.56 0.66 0.57 0.63 -HK.08326 ͬԴ 0.129 0.135 0.15 0.143 0.156 0.151 0.161 0.155 0.155 0.157 0.165 1227000000 1.58 1.66 1.84 1.75 1.91 1.85 1.98 1.90 1.90 1.93 2.02 1.85 -HK.08328 崢 1.281 1.157 1.011 0.847 0.828 0.785 0.615 0.672 0.686 0.766 0.72 785534000 10.06 9.09 7.94 6.65 6.50 6.17 4.83 5.28 5.39 6.02 5.66 6.69 -HK.08329 Ӣ -0.018 -0.019 -0.011 -0.001 -0.004 0.022 0.136 0.174 0.183 0.168 0.159 426000000 -0.08 -0.08 -0.05 0.00 -0.02 0.09 0.58 0.74 0.78 0.72 0.68 0.31 -HK.08331 0.165 0.145 0.138 0.138 0.135 0.126 0.131 0.136 0.133 0.14 0.184 159114000 0.26 0.23 0.22 0.22 0.21 0.20 0.21 0.22 0.21 0.22 0.29 0.23 -HK.08333 ʽ 0.286 0.272 0.287 0.288 0.225 0.275 0.289 0.314 0.375 0.385 0.388 96000000 0.27 0.26 0.28 0.28 0.22 0.26 0.28 0.30 0.36 0.37 0.37 0.30 -HK.08337 ֱͨѶ 0.084 0.091 0.092 0.082 0.073 0.071 0.109 0.13 0.132 0.124 0.115 244875000 0.21 0.22 0.23 0.20 0.18 0.17 0.27 0.32 0.32 0.30 0.28 0.25 -HK.08340 Ͼʽ 1.128 0.929 0.615 0.583 0.315 0.279 0.291 0.196 0.324 0.36 0.516 66660000 0.75 0.62 0.41 0.39 0.21 0.19 0.19 0.13 0.22 0.24 0.34 0.34 -HK.08341 ˶ع 0.162 0.163 0.151 0.163 0.165 0.235 0.255 0.268 0.257 0.205 0.158 80000000 0.13 0.13 0.12 0.13 0.13 0.19 0.20 0.21 0.21 0.16 0.13 0.16 -HK.08347 F8ҵ 0.07 0.078 0.074 0.082 0.124 0.105 0.089 0.099 0.109 0.108 0.125 137520000 0.10 0.11 0.10 0.11 0.17 0.14 0.12 0.14 0.15 0.15 0.17 0.13 -HK.08348 ̩ 0.256 0.27 0.338 0.388 0.408 0.442 0.435 0.431 0.435 0.465 0.474 353790000 0.91 0.96 1.20 1.37 1.44 1.56 1.54 1.52 1.54 1.65 1.68 1.40 -HK.08349 μ 0.771 1.277 1.29 1.605 2.493 2.608 2.284 2.294 2.429 2.28 2.293 400000000 3.08 5.11 5.16 6.42 9.97 10.43 9.14 9.18 9.72 9.12 9.17 7.86 -HK.08350 ֤ȯع 0.217 0.236 0.196 0.159 0.135 0.15 0.129 0.155 0.162 0.189 0.204 960000000 2.08 2.27 1.88 1.53 1.30 1.44 1.24 1.49 1.56 1.81 1.96 1.69 -HK.08356 ҵع 0.816 0.913 0.77 0.647 0.577 0.702 0.606 0.581 0.784 0.538 0.583 57220200 0.47 0.52 0.44 0.37 0.33 0.40 0.35 0.33 0.45 0.31 0.33 0.39 -HK.08357 REPUBLIC HC 0.072 0.074 0.075 0.061 0.065 0.065 0.086 0.091 0.155 0.164 0.156 624000000 0.45 0.46 0.47 0.38 0.41 0.41 0.54 0.57 0.97 1.02 0.97 0.60 -HK.08360 0.62 0.626 0.601 0.541 0.543 0.534 0.524 0.492 0.454 0.422 0.405 360274000 2.23 2.26 2.17 1.95 1.96 1.92 1.89 1.77 1.64 1.52 1.46 1.89 -HK.08362 ̩ 0.059 0.06 0.056 0.058 0.058 0.058 0.06 0.059 0.06 0.058 0.06 1400000000 0.83 0.84 0.78 0.81 0.81 0.81 0.84 0.83 0.84 0.81 0.84 0.82 -HK.08365 ೽ 0.325 0.286 0.274 0.269 0.284 0.305 0.303 0.327 0.271 0.256 0.358 171269000 0.56 0.49 0.47 0.46 0.49 0.52 0.52 0.56 0.46 0.44 0.61 0.51 -HK.08366 㽭Ͷ 0.021 0.016 0.018 0.022 0.022 0.02 0.021 0.018 0.018 0.02 0.034 1577200000 0.33 0.25 0.28 0.35 0.35 0.32 0.33 0.28 0.28 0.32 0.54 0.33 -HK.08367 ٻ̿ع 0.562 0.448 0.373 0.335 0.291 0.302 0.346 0.324 0.295 0.275 0.27 69050000 0.39 0.31 0.26 0.23 0.20 0.21 0.24 0.22 0.20 0.19 0.19 0.24 -HK.08368 йع 0.714 0.581 0.448 0.552 0.483 0.415 0.384 0.381 0.827 0.826 0.843 577798000 4.13 3.36 2.59 3.19 2.79 2.40 2.22 2.20 4.78 4.77 4.87 3.39 -HK.08370 ſع 0.763 0.847 2.008 2.863 3.637 4.036 5.818 5.771 5.686 5.394 5.261 153889000 1.17 1.30 3.09 4.41 5.60 6.21 8.95 8.88 8.75 8.30 8.10 5.89 -HK.08371 1.27 1.173 1.311 1.372 1.391 1.456 1.433 1.472 1.623 1.893 1.855 380894000 4.84 4.47 4.99 5.23 5.30 5.55 5.46 5.61 6.18 7.21 7.07 5.63 -HK.08372 Ӽ 0.094 0.089 0.09 0.086 0.097 0.103 0.106 0.116 0.12 0.118 0.116 800000000 0.75 0.71 0.72 0.69 0.78 0.82 0.85 0.93 0.96 0.94 0.93 0.83 -HK.08375 ʱ 0.179 0.158 2.261 4.865 4.093 4.256 4.653 5.31 4.757 4.22 3.671 288000000 0.52 0.46 6.51 14.01 11.79 12.26 13.40 15.29 13.70 12.15 10.57 10.06 -HK.08377 ά 0.154 0.148 0.173 0.163 0.124 0.099 0.099 0.091 0.095 0.104 0.14 409142000 0.63 0.61 0.71 0.67 0.51 0.41 0.41 0.37 0.39 0.43 0.57 0.52 -HK.08379 Ƽ 0.086 0.079 0.078 0.081 0.114 0.189 0.132 0.117 0.119 0.118 0.132 800000000 0.69 0.63 0.62 0.65 0.91 1.51 1.06 0.94 0.95 0.94 1.06 0.91 -HK.08385 ӡˢ 0.145 0.095 0.087 0.083 0.084 0.092 0.089 0.092 0.087 0.087 0.087 104388000 0.15 0.10 0.09 0.09 0.09 0.10 0.09 0.10 0.09 0.09 0.09 0.10 -HK.08391 ʯƼع 0.65 0.585 0.546 0.515 0.559 0.508 0.418 0.405 0.383 0.394 0.455 953575000 6.20 5.58 5.21 4.91 5.33 4.84 3.99 3.86 3.65 3.76 4.34 4.70 -HK.08392 ͼع 0.033 0.027 0.028 0.028 0.032 0.033 0.032 0.027 0.025 0.028 0.03 1000000000 0.33 0.27 0.28 0.28 0.32 0.33 0.32 0.27 0.25 0.28 0.30 0.29 -HK.08395 ҿع 0.604 0.583 0.477 0.322 0.338 0.291 0.227 0.239 0.228 0.231 0.188 1584000000 9.57 9.23 7.56 5.10 5.35 4.61 3.60 3.79 3.61 3.66 2.98 5.37 -HK.08400 ȷ 0.041 0.043 0.043 0.044 0.042 0.045 0.04 0.046 0.041 0.04 0.041 1000000000 0.41 0.43 0.43 0.44 0.42 0.45 0.40 0.46 0.41 0.40 0.41 0.42 -HK.08401 Դ뼯 0.098 0.091 0.097 0.091 0.093 0.097 0.103 0.102 0.082 0.122 0.113 677676000 0.66 0.62 0.66 0.62 0.63 0.66 0.70 0.69 0.56 0.83 0.77 0.67 -HK.08402 ԭ֮ 0.287 0.4 0.365 0.196 0.168 0.137 0.115 0.106 0.103 0.12 0.134 480010000 1.38 1.92 1.75 0.94 0.81 0.66 0.55 0.51 0.49 0.58 0.64 0.93 -HK.08403 ƽ 0.792 0.846 0.788 0.791 0.807 1.079 1.2 1.413 1.615 1.491 1.386 154000000 1.22 1.30 1.21 1.22 1.24 1.66 1.85 2.18 2.49 2.30 2.13 1.71 -HK.08406 йǻҵ 0.07 0.106 0.121 0.083 0.107 0.105 0.079 0.086 0.098 0.119 0.123 1368000000 0.96 1.45 1.66 1.14 1.46 1.44 1.08 1.18 1.34 1.63 1.68 1.36 -HK.08411 K W NELSON GP 0.01 0.012 0.032 0.043 0.04 0.048 0.06 0.075 0.072 0.068 0.067 1000000000 0.10 0.12 0.32 0.43 0.40 0.48 0.60 0.75 0.72 0.68 0.67 0.48 -HK.08412 °¼ 0.515 0.453 0.356 0.298 0.39 0.36 0.365 0.361 0.375 0.365 0.329 122248000 0.63 0.55 0.44 0.36 0.48 0.44 0.45 0.44 0.46 0.45 0.40 0.46 -HK.08413 ޸˼ 0.126 0.113 0.117 0.123 0.119 0.11 0.106 0.1 0.124 0.109 0.106 1162000000 1.46 1.31 1.36 1.43 1.38 1.28 1.23 1.16 1.44 1.27 1.23 1.32 -HK.08416 HM INTL HLDGS 0.104 0.099 0.1 0.104 0.101 0.088 0.085 0.085 0.086 0.101 0.099 421415000 0.44 0.42 0.42 0.44 0.43 0.37 0.36 0.36 0.36 0.43 0.42 0.40 -HK.08417 ؽ 0.015 0.012 0.011 0.01 0.01 0.01 0.011 0.011 0.011 0.012 0.015 1750400000 0.26 0.21 0.19 0.18 0.18 0.18 0.19 0.19 0.19 0.21 0.26 0.20 -HK.08418 0.485 0.435 0.364 0.505 0.498 0.448 0.378 0.441 0.391 0.454 0.48 850000000 4.12 3.70 3.09 4.29 4.23 3.81 3.21 3.75 3.32 3.86 4.08 3.77 -HK.08419 AV߻ƹ 0.08 0.069 0.061 0.058 0.071 0.077 0.082 0.065 0.064 0.081 0.089 400000000 0.32 0.28 0.24 0.23 0.28 0.31 0.33 0.26 0.26 0.32 0.36 0.29 -HK.08420 NEXION TECH 0.034 0.034 0.028 0.024 0.023 0.028 0.025 0.026 0.025 0.026 0.033 887760000 0.30 0.30 0.25 0.21 0.20 0.25 0.22 0.23 0.22 0.23 0.29 0.25 -HK.08422 WT 0.106 0.097 0.086 0.086 0.089 0.092 0.095 0.093 0.088 0.089 0.105 120000000 0.13 0.12 0.10 0.10 0.11 0.11 0.11 0.11 0.11 0.11 0.13 0.11 -HK.08423 CHI HO DEV 0.051 0.048 0.047 0.041 0.04 0.045 0.044 0.045 0.043 0.046 0.054 800000000 0.41 0.38 0.38 0.33 0.32 0.36 0.35 0.36 0.34 0.37 0.43 0.37 -HK.08425 ع 0.053 0.047 0.051 0.048 0.05 0.058 0.056 0.057 0.058 0.058 0.057 376000000 0.20 0.18 0.19 0.18 0.19 0.22 0.21 0.21 0.22 0.22 0.21 0.20 -HK.08426 žͶʿع 0.406 0.317 0.329 0.292 0.228 0.243 0.233 0.239 0.243 0.251 0.254 800000000 3.25 2.54 2.63 2.34 1.82 1.94 1.86 1.91 1.94 2.01 2.03 2.21 -HK.08427 ˳ǿ 3.823 5.48 12.706 20.319 19.826 18.469 16.018 13.394 17.073 23.281 31.903 16351600 0.63 0.90 2.08 3.32 3.24 3.02 2.62 2.19 2.79 3.81 5.22 2.71 -HK.08429 0.031 0.036 0.033 0.04 0.041 0.035 0.033 0.033 0.036 0.038 0.042 480000000 0.15 0.17 0.16 0.19 0.20 0.17 0.16 0.16 0.17 0.18 0.20 0.17 -HK.08430 ܿع 0.158 0.109 0.103 0.102 0.104 0.109 0.107 0.113 0.118 0.12 0.17 166835000 0.26 0.18 0.17 0.17 0.17 0.18 0.18 0.19 0.20 0.20 0.28 0.20 -HK.08431 ưع 0.372 0.337 0.307 0.268 0.265 0.27 0.287 0.275 0.22 0.227 0.228 45493000 0.17 0.15 0.14 0.12 0.12 0.12 0.13 0.13 0.10 0.10 0.10 0.13 -HK.08432 ̫ƽư 0.063 0.058 0.051 0.049 0.045 0.035 0.031 0.03 0.032 0.033 0.033 869632000 0.55 0.50 0.44 0.43 0.39 0.30 0.27 0.26 0.28 0.29 0.29 0.36 -HK.08436 ±ſع 0.197 0.199 0.185 0.187 0.191 0.212 0.197 0.227 0.227 0.26 0.236 400000000 0.79 0.80 0.74 0.75 0.76 0.85 0.79 0.91 0.91 1.04 0.94 0.84 -HK.08437 ˹ع 0.377 0.321 0.309 0.206 0.151 0.161 0.171 0.161 0.185 0.153 0.146 66600000 0.25 0.21 0.21 0.14 0.10 0.11 0.11 0.11 0.12 0.10 0.10 0.14 -HK.08439 ° 0.433 0.435 0.499 0.491 0.458 0.414 0.383 0.368 0.357 0.367 0.348 146706000 0.64 0.64 0.73 0.72 0.67 0.61 0.56 0.54 0.52 0.54 0.51 0.61 -HK.08445 ̩̼ 0.201 0.201 0.199 0.225 0.228 0.195 0.175 0.153 0.129 0.146 0.18 276380000 0.56 0.56 0.55 0.62 0.63 0.54 0.48 0.42 0.36 0.40 0.50 0.51 -HK.08446 ҫǿƼ 0.182 0.175 0.142 0.141 0.131 0.136 0.136 0.131 0.117 0.125 0.201 1125110000 2.05 1.97 1.60 1.59 1.47 1.53 1.53 1.47 1.32 1.41 2.26 1.65 -HK.08447 MS CONCEPT 0.043 0.041 0.042 0.041 0.046 0.041 0.036 0.035 0.035 0.037 0.038 1000000000 0.43 0.41 0.42 0.41 0.46 0.41 0.36 0.35 0.35 0.37 0.38 0.40 -HK.08448 ӡ 0.245 0.231 0.204 0.245 0.237 0.227 0.221 0.21 0.242 0.227 0.199 99800000 0.24 0.23 0.20 0.24 0.24 0.23 0.22 0.21 0.24 0.23 0.20 0.23 -HK.08450 Ҿع 0.087 0.097 0.099 0.122 0.113 0.096 0.108 0.116 0.116 0.134 0.124 1000000000 0.87 0.97 0.99 1.22 1.13 0.96 1.08 1.16 1.16 1.34 1.24 1.10 -HK.08451 չع 0.076 0.077 0.07 0.061 0.063 0.064 0.061 0.06 0.064 0.065 0.059 800000000 0.61 0.62 0.56 0.49 0.50 0.51 0.49 0.48 0.51 0.52 0.47 0.52 -HK.08452 ʹɷ 0.41 0.416 0.391 0.39 0.405 0.401 0.363 0.354 0.367 0.307 0.338 89840000 0.37 0.37 0.35 0.35 0.36 0.36 0.33 0.32 0.33 0.28 0.30 0.34 -HK.08455 񽨵¼ 0.021 0.02 0.02 0.02 0.039 0.081 0.054 0.054 0.068 0.064 0.055 960000000 0.20 0.19 0.19 0.19 0.37 0.78 0.52 0.52 0.65 0.61 0.53 0.43 -HK.08456 Źʿع 0.345 0.318 0.308 0.301 0.3 0.292 0.295 0.305 0.303 0.324 0.352 132203000 0.46 0.42 0.41 0.40 0.40 0.39 0.39 0.40 0.40 0.43 0.47 0.41 -HK.08460 ؽ꼯 0.056 0.066 0.062 0.047 0.048 0.072 0.092 0.066 0.051 0.048 0.063 221340000 0.12 0.15 0.14 0.10 0.11 0.16 0.20 0.15 0.11 0.11 0.14 0.14 -HK.08462 аعɼ 0.081 0.072 0.078 0.073 0.076 0.094 0.08 0.084 0.091 0.16 0.123 600000000 0.49 0.43 0.47 0.44 0.46 0.56 0.48 0.50 0.55 0.96 0.74 0.55 -HK.08471 ´ع 0.283 0.373 0.384 0.348 0.266 0.222 0.19 0.133 0.131 0.1 0.143 1226000000 3.47 4.57 4.71 4.27 3.26 2.72 2.33 1.63 1.61 1.23 1.75 2.87 -HK.08472 ߿ع 0.851 0.866 0.828 0.717 0.627 0.565 0.347 0.346 0.34 0.364 0.42 115200000 0.98 1.00 0.95 0.83 0.72 0.65 0.40 0.40 0.39 0.42 0.48 0.66 -HK.08473 ٻ 0.061 0.057 0.06 0.061 0.062 0.077 0.111 0.12 0.118 0.136 0.141 1120000000 0.68 0.64 0.67 0.68 0.69 0.86 1.24 1.34 1.32 1.52 1.58 1.02 -HK.08476 ع 2.227 2.31 2.572 2.647 2.647 2.74 2.938 3.228 3.769 3.729 4.406 280000000 6.24 6.47 7.20 7.41 7.41 7.67 8.23 9.04 10.55 10.44 12.34 8.45 -HK.08480 ޿ع 0.141 0.127 0.102 0.089 0.105 0.229 0.195 0.194 0.201 0.201 0.205 923322000 1.30 1.17 0.94 0.82 0.97 2.11 1.80 1.79 1.86 1.86 1.89 1.50 -HK.08481 ʢ 0.448 0.37 0.301 0.3 0.3 0.294 0.294 0.455 0.439 0.5 0.485 405170000 1.82 1.50 1.22 1.22 1.22 1.19 1.19 1.84 1.78 2.03 1.97 1.54 -HK.08482 0.279 0.248 0.229 0.189 0.172 0.169 0.155 0.168 0.163 0.173 0.199 149740000 0.42 0.37 0.34 0.28 0.26 0.25 0.23 0.25 0.24 0.26 0.30 0.29 -HK.08483 ˿ 0.049 0.048 0.049 0.053 0.049 0.048 0.06 0.121 0.195 0.16 0.133 800000000 0.39 0.38 0.39 0.42 0.39 0.38 0.48 0.97 1.56 1.28 1.06 0.70 -HK.08487 ISP GLOBAL 0.129 0.118 0.105 0.102 0.103 0.147 0.136 0.118 0.104 0.101 0.103 1046630000 1.35 1.24 1.10 1.07 1.08 1.54 1.42 1.24 1.09 1.06 1.08 1.20 -HK.08489 ԣ 0.137 0.147 0.131 0.136 0.152 0.136 0.139 0.15 0.152 0.153 0.165 300000000 0.41 0.44 0.39 0.41 0.46 0.41 0.42 0.45 0.46 0.46 0.50 0.44 -HK.08490 뵼 0.247 0.175 0.154 0.17 0.18 0.17 0.131 0.133 0.125 0.134 0.137 705500000 1.74 1.23 1.09 1.20 1.27 1.20 0.92 0.94 0.88 0.95 0.97 1.13 -HK.08491 COOL LINK 2.373 2.642 1.861 1.97 1.226 0.789 0.758 0.569 0.568 0.556 0.528 398606000 9.46 10.53 7.42 7.85 4.89 3.15 3.02 2.27 2.26 2.22 2.10 5.02 -HK.08493 ʼ 0.072 0.06 0.058 0.044 0.047 0.059 0.048 0.052 0.054 0.05 0.047 290304000 0.21 0.17 0.17 0.13 0.14 0.17 0.14 0.15 0.16 0.15 0.14 0.16 -HK.08495 1957 & CO. 0.202 0.2 0.197 0.2 0.194 0.183 0.18 0.184 0.176 0.201 0.221 384000000 0.78 0.77 0.76 0.77 0.74 0.70 0.69 0.71 0.68 0.77 0.85 0.75 -HK.08496 0.289 0.249 0.249 0.218 0.192 0.173 0.166 0.166 0.146 0.134 0.126 266175000 0.77 0.66 0.66 0.58 0.51 0.46 0.44 0.44 0.39 0.36 0.34 0.51 -HK.08500 Ĵ 0.473 0.427 0.469 0.582 0.713 0.541 0.307 0.458 0.419 0.403 432000000 2.04 1.84 2.03 2.51 3.08 2.34 0.00 1.33 1.98 1.81 1.74 1.88 -HK.08501 ׯʼŹ˾ 0.29 0.285 0.318 0.348 0.333 0.286 0.285 0.297 0.28 0.425 0.44 200000000 0.58 0.57 0.64 0.70 0.67 0.57 0.57 0.59 0.56 0.85 0.88 0.65 -HK.08502 Զۿ 0.301 0.293 0.284 0.306 0.3 0.295 0.269 0.28 0.298 0.304 0.292 800000000 2.41 2.34 2.27 2.45 2.40 2.36 2.15 2.24 2.38 2.43 2.34 2.34 -HK.08507 ͼ 0.079 0.085 0.085 0.078 0.084 0.089 0.083 0.087 0.082 0.104 0.149 400000000 0.32 0.34 0.34 0.31 0.34 0.36 0.33 0.35 0.33 0.42 0.60 0.37 -HK.08509 ҵع 0.344 0.346 0.379 0.374 0.39 0.361 0.456 0.518 0.52 0.594 0.702 400000000 1.38 1.38 1.52 1.50 1.56 1.44 1.82 2.07 2.08 2.38 2.81 1.81 -HK.08510 TOPSTANDARDCORP 0.095 0.089 0.078 0.081 0.082 0.102 0.098 0.076 0.081 0.08 0.093 199066000 0.19 0.18 0.16 0.16 0.16 0.20 0.20 0.15 0.16 0.16 0.19 0.17 -HK.08511 񸻹 0.991 0.922 0.939 1.372 1.403 1.412 1.289 1.199 1.167 1.156 1.022 25914300 0.26 0.24 0.24 0.36 0.36 0.37 0.33 0.31 0.30 0.30 0.26 0.30 -HK.08512 Ƽſع 0.293 0.261 0.247 0.275 0.31 0.325 0.294 0.298 0.3 0.303 0.303 918500000 2.69 2.40 2.27 2.53 2.85 2.99 2.70 2.74 2.76 2.78 2.78 2.68 -HK.08513 Ӻ͹ʿع 0.235 0.289 0.22 0.158 0.161 0.149 0.157 0.14 0.135 0.134 0.14 818455000 1.92 2.37 1.80 1.29 1.32 1.22 1.28 1.15 1.10 1.10 1.15 1.43 -HK.08516 㿥ſع- 1.416 1.223 1.313 1.255 1.174 0.985 0.935 0.982 0.93 1.255 1.366 16442400 0.23 0.20 0.22 0.21 0.19 0.16 0.15 0.16 0.15 0.21 0.22 0.19 -HK.08519 ʱ 0.321 0.279 0.189 0.145 0.174 0.225 0.251 0.193 0.163 0.14 0.112 579890000 1.86 1.62 1.10 0.84 1.01 1.30 1.46 1.12 0.95 0.81 0.65 1.16 -HK.08521 ƹʿع 0.675 0.855 0.898 0.898 0.838 0.783 0.719 0.653 0.686 0.838 1.391 576000000 3.89 4.92 5.17 5.17 4.83 4.51 4.14 3.76 3.95 4.83 8.01 4.84 -HK.08526 ٷἯ 0.088 0.077 0.073 0.076 0.081 0.112 0.127 0.117 0.104 0.111 0.111 162250000 0.14 0.12 0.12 0.12 0.13 0.18 0.21 0.19 0.17 0.18 0.18 0.16 -HK.08529 Ųع 0.212 0.18 0.175 0.169 0.161 0.148 0.147 0.165 0.201 0.174 0.178 512500000 1.09 0.92 0.90 0.87 0.83 0.76 0.75 0.85 1.03 0.89 0.91 0.89 -HK.08535 ӫ¿ع 0.04 0.037 0.037 0.036 0.036 0.038 0.07 0.09 0.098 0.09 0.119 1200000000 0.48 0.44 0.44 0.43 0.43 0.46 0.84 1.08 1.18 1.08 1.43 0.75 -HK.08536 TL NATURAL GAS 0.376 0.348 0.306 0.333 0.362 0.32 0.319 0.361 0.305 0.288 0.266 212505000 0.80 0.74 0.65 0.71 0.77 0.68 0.68 0.77 0.65 0.61 0.57 0.69 -HK.08537 鱦 0.184 0.176 0.149 0.144 0.149 0.153 0.141 0.138 0.152 0.176 0.223 360000000 0.66 0.63 0.54 0.52 0.54 0.55 0.51 0.50 0.55 0.63 0.80 0.58 -HK.08540 ʤ֤ȯ 3.153 3.179 3.248 3.268 3.236 3.25 3.083 3.117 3.724 8.165 7.095 211875000 6.68 6.74 6.88 6.92 6.86 6.89 6.53 6.60 7.89 17.30 15.03 8.57 -HK.08545 ü 0.032 0.028 0.025 0.03 0.033 0.04 0.038 0.039 0.038 0.04 0.044 1192310000 0.38 0.33 0.30 0.36 0.39 0.48 0.45 0.47 0.45 0.48 0.52 0.42 -HK.08547 PACIFIC LEGEND 0.113 0.109 0.111 0.105 0.101 0.115 0.134 0.142 0.151 0.151 0.34 410540000 0.46 0.45 0.46 0.43 0.41 0.47 0.55 0.58 0.62 0.62 1.40 0.59 -HK.08561 ʳ- 0.273 0.39 144545000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.39 0.00 0.56 0.09 -HK.08565 㿥ſع- 1.712 1.415 16442400 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.28 0.23 0.05 -HK.08601 [ع 0.283 0.296 0.273 0.274 0.272 0.275 0.258 0.242 0.243 0.26 0.275 800000000 2.26 2.37 2.18 2.19 2.18 2.20 2.06 1.94 1.94 2.08 2.20 2.15 -HK.08603 ع 0.616 0.675 0.651 0.64 0.682 0.923 1.183 1.222 1.272 1.337 1.539 800000000 4.93 5.40 5.21 5.12 5.46 7.38 9.46 9.78 10.18 10.70 12.31 7.81 -HK.08606 ڿع 0.081 0.073 0.086 0.086 0.123 0.159 0.142 0.114 0.101 0.1 0.093 1445850000 1.17 1.06 1.24 1.24 1.78 2.30 2.05 1.65 1.46 1.45 1.34 1.52 -HK.08611 Ÿ 0.069 0.058 0.055 0.291 0.598 0.976 0.943 0.738 0.546 0.534 0.742 468000000 0.32 0.27 0.26 1.36 2.80 4.57 4.41 3.45 2.56 2.50 3.47 2.36 -HK.08612 άع 0.193 0.151 0.127 0.118 0.117 0.134 0.095 0.087 0.091 103680000 0.20 0.16 0.13 0.12 0.12 0.14 0.00 0.00 0.10 0.09 0.09 0.10 -HK.08613 ֧ſع 0.103 0.118 0.13 0.137 0.135 0.138 0.146 0.138 0.103 0.088 0.082 1927720000 1.99 2.27 2.51 2.64 2.60 2.66 2.81 2.66 1.99 1.70 1.58 2.31 -HK.08616 ̼ 0.037 0.038 0.031 0.027 0.029 0.034 0.032 0.033 0.034 0.033 0.038 1000000000 0.37 0.38 0.31 0.27 0.29 0.34 0.32 0.33 0.34 0.33 0.38 0.33 -HK.08619 ʳ() 0.6 0.495 0.518 0.549 0.479 0.479 0.407 0.295 0.269 0.307 144545000 0.87 0.72 0.75 0.79 0.69 0.69 0.59 0.43 0.39 0.00 0.44 0.58 -HK.08620 0.102 0.102 0.102 0.108 0.104 0.091 0.084 0.078 0.078 0.071 0.077 528000000 0.54 0.54 0.54 0.57 0.55 0.48 0.44 0.41 0.41 0.37 0.41 0.48 -HK.08621 METROPOLIS CAP 0.043 0.045 0.042 0.045 0.044 0.044 0.043 0.038 0.036 0.042 0.04 960000000 0.41 0.43 0.40 0.43 0.42 0.42 0.41 0.36 0.35 0.40 0.38 0.40 -HK.08622 ҽѧ 0.197 0.18 0.149 0.24 0.352 0.311 0.319 0.408 0.401 0.36 0.381 500472000 0.99 0.90 0.75 1.20 1.76 1.56 1.60 2.04 2.01 1.80 1.91 1.50 -HK.08623 й 0.129 0.12 0.115 0.114 0.112 0.143 0.141 0.143 0.124 0.132 0.124 156175000 0.20 0.19 0.18 0.18 0.17 0.22 0.22 0.22 0.19 0.21 0.19 0.20 -HK.08627 óĻ 0.062 0.055 0.055 0.055 0.057 0.057 0.052 0.063 0.058 0.055 0.052 800000000 0.50 0.44 0.44 0.44 0.46 0.46 0.42 0.50 0.46 0.44 0.42 0.45 -HK.08629 Ź 9.821 9.936 9.825 9.848 9.899 9.346 9.479 9.618 9.64 9.32 8.912 10179000 1.00 1.01 1.00 1.00 1.01 0.95 0.96 0.98 0.98 0.95 0.91 0.98 -HK.08635 عɼ 0.025 0.06 0.035 0.059 0.194 0.529 0.702 0.639 0.534 0.577 0.606 480000000 0.12 0.29 0.17 0.28 0.93 2.54 3.37 3.07 2.56 2.77 2.91 1.73 -HK.08637 ԪƼ 1.003 0.94 0.947 0.935 0.89 0.867 0.748 0.826 0.846 1.053 1.276 150000000 1.50 1.41 1.42 1.40 1.34 1.30 1.12 1.24 1.27 1.58 1.91 1.41 -HK.08645 Ԫ 0.548 0.548 0.519 0.554 0.535 0.549 0.527 0.57 0.582 0.561 0.533 756504000 4.15 4.15 3.93 4.19 4.05 4.15 3.99 4.31 4.40 4.24 4.03 4.14 -HK.08646 й 0.311 0.41 0.342 0.303 0.285 0.249 0.241 0.272 0.269 0.253 0.265 708990000 2.20 2.91 2.42 2.15 2.02 1.77 1.71 1.93 1.91 1.79 1.88 2.06 -HK.08659 ׺͹ʿع 0.548 0.553 0.437 0.249 0.254 0.323 0.289 0.244 0.207 0.172 0.137 748483000 4.10 4.14 3.27 1.86 1.90 2.42 2.16 1.83 1.55 1.29 1.03 2.32 -HK.08668 孺 0.102 0.095 0.094 0.093 0.102 0.092 0.085 0.082 0.073 0.078 0.089 1200000000 1.22 1.14 1.13 1.12 1.22 1.10 1.02 0.98 0.88 0.94 1.07 1.07 -HK.09600 ŦƼ 0.4 0.365 0.409 0.365 0.36 0.337 0.262 0.256 0.295 0.324 0.281 937864000 3.75 3.42 3.84 3.42 3.38 3.16 2.46 2.40 2.77 3.04 2.64 3.12 -HK.09606 ӳ-B 210.12 199.675 243.086 311.773 357.615 88036300 0.00 0.00 0.00 0.00 0.00 0.00 184.98 175.79 214.00 274.47 314.83 105.83 -HK.09608 ζ 0.11 0.168 0.22 0.189 0.195 0.126 0.092 0.106 0.102 0.105 0.115 3840000000 4.22 6.45 8.45 7.26 7.49 4.84 3.53 4.07 3.92 4.03 4.42 5.33 -HK.09616 ¼ 2.643 2.529 2.418 2.546 2.663 2.877 3.024 3.472 3.358 3.69 3.452 646220000 17.08 16.34 15.63 16.45 17.21 18.59 19.54 22.44 21.70 23.85 22.31 19.19 -HK.09618 -SW 159.157 140.124 139.459 138.961 154.669 161.376 137.644 132.56 129.419 127.168 123.385 2836000000 4513.69 3973.92 3955.06 3940.93 4386.41 4576.62 3903.58 3759.40 3670.32 3606.48 3499.20 3980.51 -HK.09626 -W 176.1 159.262 152.33 132.347 155.135 163.89 133.247 143.765 156.814 181.341 184.608 412780000 726.91 657.40 628.79 546.30 640.37 676.51 550.02 593.43 647.30 748.54 762.02 652.51 -HK.09633 ũɽȪ 30.118 31.009 34.548 33.467 34.465 35.761 34.569 37.715 39.193 42.339 46.392 5034670000 1516.34 1561.20 1739.38 1684.95 1735.20 1800.45 1740.44 1898.83 1973.24 2131.63 2335.68 1828.85 -HK.09636 ŷͶع 12.213 22.155 25.605 22.454 28.36 40.315 33.002 39.423 41.83 48.016 53.173 468357000 57.20 103.76 119.92 105.16 132.83 188.82 154.57 184.64 195.91 224.89 249.04 156.07 -HK.09638 22.644 21.711 22.019 22.041 22.384 21.844 18.93 22.107 24.075 25.155 24.834 338483000 76.65 73.49 74.53 74.61 75.77 73.94 64.07 74.83 81.49 85.15 84.06 76.23 -HK.09639 Ӫ 0.492 0.448 0.422 0.422 0.437 0.431 0.656 1.041 1.185 0.989 1.071 1000000000 4.92 4.48 4.22 4.22 4.37 4.31 6.56 10.41 11.85 9.89 10.71 6.90 -HK.09658 غ 13.413 13.445 20.052 19.697 18.705 19.247 16.163 16.955 15.596 15.732 15.342 650299000 87.22 87.43 130.40 128.09 121.64 125.16 105.11 110.26 101.42 102.31 99.77 108.98 -HK.09660 ƽ߻-W 4.325 4.356 3.812 3.821 6.945 8.055 5.779 7.359 6.883 6.79 7.278 13881300000 600.37 604.67 529.16 530.40 964.06 1118.14 802.20 1021.52 955.45 942.54 1010.28 825.34 -HK.09663 18.306 18.033 12.88 10.332 10.142 9.744 8.839 8.669 8.464 8.106 8.122 351535000 64.35 63.39 45.28 36.32 35.65 34.25 31.07 30.47 29.75 28.50 28.55 38.87 -HK.09666 Ʒ 8.077 6.989 7.049 6.833 7.024 7.709 7.23 7.031 6.824 6.929 6.674 597089000 48.23 41.73 42.09 40.80 41.94 46.03 43.17 41.98 40.75 41.37 39.85 42.54 -HK.09668 1.036 0.942 0.88 0.916 0.9 0.88 0.89 0.937 0.886 1.03 1.032 6200560000 64.24 58.41 54.56 56.80 55.81 54.56 55.18 58.10 54.94 63.87 63.99 58.22 -HK.09669 ɭع 3.8 3.995 4.446 4.586 5.162 5.689 5.266 6.146 8.456 8.634 8.452 703273000 26.72 28.10 31.27 32.25 36.30 40.01 37.03 43.22 59.47 60.72 59.44 41.32 -HK.09676 ʮµ 11.125 8.027 6.605 5.375 5.488 5.812 6.403 6.108 6.313 7.815 7.945 1068150000 118.83 85.74 70.55 57.41 58.62 62.08 68.39 65.24 67.43 83.48 84.86 74.79 -HK.09677 2.669 2.764 2.781 2.792 2.847 2.854 2.858 2.867 2.925 2.94 2.973 1008860000 26.93 27.88 28.06 28.17 28.72 28.79 28.83 28.92 29.51 29.66 29.99 28.68 -HK.09678 ֪ 296.4 483.305 673.423 41621900 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 123.37 201.16 280.29 54.98 -HK.09680 19.138 15.837 15.126 11.731 12.09 11.445 10.083 9.896 10.131 9.871 11.685 204114000 39.06 32.33 30.87 23.94 24.68 23.36 20.58 20.20 20.68 20.15 23.85 25.43 -HK.09686 ҽԺ 0.641 0.731 1.047 0.785 0.732 0.748 0.799 0.907 0.967 0.921 0.971 841877000 5.40 6.15 8.81 6.61 6.16 6.30 6.73 7.64 8.14 7.75 8.17 7.08 -HK.09688 ٶҽҩ 21.361 22.51 21.368 19.904 23.908 28.16 24.655 23.838 29.102 28.507 28.615 1117630000 238.74 251.58 238.82 222.45 267.20 314.72 275.55 266.42 325.25 318.60 319.81 276.29 -HK.09689 ̩ʿع 0.467 0.412 0.398 0.352 0.349 0.368 0.281 0.27 0.251 0.419 0.347 930000000 4.34 3.83 3.70 3.27 3.25 3.42 2.61 2.51 2.33 3.90 3.23 3.31 -HK.09690 ;-W 21.415 22.01 19.978 17.056 16.458 17.71 16.981 18.154 19.618 20.026 18.994 823817000 176.42 181.32 164.58 140.51 135.58 145.90 139.89 149.56 161.62 164.98 156.48 156.08 -HK.09696 ҵ 26.548 27.71 25.365 23.563 24.3 25.283 22.129 23.965 26.45 32.88 41.825 164122000 43.57 45.48 41.63 38.67 39.88 41.49 36.32 39.33 43.41 53.96 68.64 44.76 -HK.09698 -SW 21.093 20.45 19.962 23.266 35.223 31.936 21.711 26.483 26.402 34.461 34.342 1580100000 333.29 323.13 315.42 367.63 556.56 504.62 343.06 418.46 417.18 544.52 542.64 424.23 -HK.09699 ˳ͬ 10.644 9.86 9.39 8.959 8.996 9.121 8.162 10.561 16.635 16.714 16.922 742490000 79.03 73.21 69.72 66.52 66.79 67.72 60.60 78.41 123.51 124.10 125.64 85.02 -HK.09857 Ӱ 3.945 3.18 2.907 2.809 3.08 3.096 2.545 2.441 2.808 3.563 3.937 361576000 14.26 11.50 10.51 10.16 11.14 11.19 9.20 8.83 10.15 12.88 14.24 11.28 -HK.09858 Ȼҵ 1.39 1.322 1.555 1.646 2.154 2.404 2.419 2.415 2.657 3.396 4.043 3892730000 54.11 51.46 60.53 64.07 83.85 93.58 94.17 94.01 103.43 132.20 157.38 89.89 -HK.09860 Ͽع 7.44 6.785 6.727 6.841 7.502 7.241 6.499 6.854 6.669 7.12 7.59 725643000 53.99 49.23 48.81 49.64 54.44 52.54 47.16 49.74 48.39 51.67 55.08 50.97 -HK.09863 31.345 30.745 30.16 32.113 34.285 46.548 49.374 60.17 55.286 59.661 63.808 1116410000 349.94 343.24 336.71 358.51 382.76 519.67 551.22 671.74 617.22 666.06 712.36 500.86 -HK.09866 ε-SW 45.488 37.536 35.878 33.695 34.378 35.64 28.513 30.433 27.49 32.63 37.003 2245990000 1021.66 843.05 805.82 756.79 772.13 800.47 640.40 683.52 617.42 732.87 831.08 773.20 -HK.09868 С-W 45.8 49.614 49.288 51.813 69.165 86.726 75.558 78.048 75.49 71.7 77.585 1906480000 873.17 945.88 939.67 987.80 1318.62 1653.41 1440.50 1487.97 1439.20 1366.95 1479.14 1266.57 -HK.09869 ˾ 2.506 2.566 2.557 1.973 2.052 1.646 1.548 1.6 1.431 1.384 1.306 1265480000 31.71 32.47 32.36 24.97 25.97 20.83 19.59 20.25 18.11 17.51 16.53 23.66 -HK.09877 Ƽ-B 2.691 2.873 3.171 4.124 4.275 4.156 4.753 7.044 8.471 8.36 9.018 310306000 8.35 8.92 9.84 12.80 13.27 12.90 14.75 21.86 26.29 25.94 27.98 16.63 -HK.09878 ͨ 20.183 19.542 17.723 15.218 15.309 15.727 11.878 15.999 16.25 14.453 16.02 180266000 36.38 35.23 31.95 27.43 27.60 28.35 21.41 28.84 29.29 26.05 28.88 29.22 -HK.09879 ׸߼ 7.383 6.151 6.508 6.482 5.414 5.115 5.278 5.691 5.472 5.638 6.112 908940000 67.11 55.91 59.15 58.92 49.21 46.49 47.97 51.73 49.74 51.25 55.55 53.91 -HK.09880 űѡ 98.919 98.012 88.213 55.445 86.27 94.781 75.405 88.135 81.298 84.193 94.085 401267000 396.93 393.29 353.97 222.48 346.17 380.32 302.58 353.66 326.22 337.84 377.53 344.64 -HK.09881 ݴƼ 12.293 9.927 9.857 94733000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 11.65 9.40 9.34 2.76 -HK.09882 ع 0.745 0.839 0.821 0.817 0.796 0.762 0.699 0.686 0.666 0.641 0.608 800000000 5.96 6.71 6.57 6.54 6.37 6.10 5.59 5.49 5.33 5.13 4.86 5.88 -HK.09885 ҩʦ 7.222 6.57 5.854 5.628 6.373 6.796 6.067 7.889 10.19 9.623 9.718 679082000 49.04 44.62 39.75 38.22 43.28 46.15 41.20 53.57 69.20 65.35 65.99 50.58 -HK.09886 0.638 0.582 0.561 0.452 0.522 0.49 0.359 0.389 0.565 0.533 0.635 1319470000 8.42 7.68 7.40 5.96 6.89 6.47 4.74 5.13 7.46 7.03 8.38 6.87 -HK.09887 ά־-B 73.4 70.765 153279000 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 112.51 108.47 20.09 -HK.09888 ٶȼ-SW 95.814 84.007 85.053 80.303 88.458 91.91 83.303 85.8 84.21 87.082 86.485 2750170000 2635.05 2310.34 2339.10 2208.47 2432.75 2527.68 2290.97 2359.65 2315.92 2394.90 2378.48 2381.21 -HK.09889 ݸũ 4.291 3.422 3.636 3.55 3.398 3.308 3.094 3.216 3.436 3.827 3.809 1148090000 49.26 39.29 41.74 40.76 39.01 37.98 35.52 36.92 39.45 43.94 43.73 40.69 -HK.09890 δ 8.623 7.82 8.024 7.033 7.834 8.024 7.717 9.791 13.634 13.56 15.046 532254000 45.90 41.62 42.71 37.43 41.70 42.71 41.07 52.11 72.57 72.17 80.08 51.83 -HK.09893 ż 0.359 0.358 0.363 0.363 0.493 0.587 0.523 0.448 0.437 0.497 0.605 3558720000 12.78 12.74 12.92 12.92 17.54 20.89 18.61 15.94 15.55 17.69 21.53 16.28 -HK.09896 Ʒ 34.922 35.041 45.998 46.133 42.523 38.344 32.318 37.565 34.919 35.818 38.896 1226760000 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7.313 6.637 6.698 7.486 7.602 7.93 8.05 37844500 2.77 2.77 2.77 2.76 2.77 2.51 2.53 2.83 2.88 3.00 3.05 2.79 -HK.09909 ҵ 2.808 2.451 2.348 2.553 2.533 2.412 2.155 2.236 2.209 2.375 2.302 642900000 18.05 15.76 15.10 16.41 16.28 15.51 13.85 14.38 14.20 15.27 14.80 15.42 -HK.09911 ӳǿƼ 3.385 3.706 3.956 3.854 4.945 5.682 6.34 9.148 10.16 10.979 10.319 1412520000 47.81 52.35 55.88 54.44 69.85 80.26 89.55 129.22 143.51 155.08 145.76 93.06 -HK.09913 ڿع 2.765 2.68 2.636 2.406 2.484 2.472 2.524 2.681 2.623 2.524 2.499 1000000000 27.65 26.80 26.36 24.06 24.84 24.72 25.24 26.81 26.23 25.24 24.99 25.72 -HK.09916 ҵ 0.56 0.377 0.344 0.357 0.369 0.394 0.402 0.414 0.377 0.392 0.392 400000000 2.24 1.51 1.38 1.43 1.48 1.58 1.61 1.66 1.51 1.57 1.57 1.59 -HK.09918 0.606 0.695 0.629 0.609 0.673 1.214 1.119 1.192 1.114 1.289 1.134 100000000 0.61 0.70 0.63 0.61 0.67 1.21 1.12 1.19 1.11 1.29 1.13 0.93 -HK.09919 Τ 0.959 0.804 0.803 0.795 0.797 0.822 0.782 0.793 0.808 0.929 1.002 744742000 7.14 5.99 5.98 5.92 5.94 6.12 5.82 5.91 6.02 6.92 7.46 6.29 -HK.09922 ë 3.779 3.419 3.59 2.768 2.857 3.074 2.611 2.441 2.55 2.897 2.83 1397630000 52.82 47.78 50.17 38.69 39.93 42.96 36.49 34.12 35.64 40.49 39.55 41.70 -HK.09923 ƿ 12.053 10.819 9.752 8.639 8.781 8.412 7.606 7.929 12.769 14.209 13.301 461616000 55.64 49.94 45.02 39.88 40.53 38.83 35.11 36.60 58.94 65.59 61.40 47.95 -HK.09926 67.614 70.255 63.668 58.553 64.295 71.174 84.297 83.82 91.012 130.064 162.115 897593000 606.90 630.60 571.48 525.57 577.11 638.85 756.64 752.36 816.92 1167.45 1455.13 772.64 -HK.09928 ʱ 0.509 0.446 0.411 0.403 0.402 0.377 0.442 0.495 0.493 0.567 0.57 985673000 5.02 4.40 4.05 3.97 3.96 3.72 4.36 4.88 4.86 5.59 5.62 4.58 -HK.09929 Ĵع 0.056 0.049 0.049 0.057 0.062 0.064 0.064 0.057 0.055 0.058 0.065 2000000000 1.12 0.98 0.98 1.14 1.24 1.28 1.28 1.14 1.10 1.16 1.30 1.16 -HK.09930 Ž 1.596 1.516 1.323 1.266 1.196 1.196 1.019 1.18 1.166 1.181 1.28 3197240000 51.03 48.47 42.30 40.48 38.24 38.24 32.58 37.73 37.28 37.76 40.92 40.46 -HK.09933 GHW INTL 4.467 3.345 2.9 2.29 1.894 1.839 1.523 1.569 1.524 1.537 1.54 1009500000 45.09 33.77 29.28 23.12 19.12 18.56 15.37 15.84 15.38 15.52 15.55 22.42 -HK.09936 ϡԴ 2.988 2.981 2.952 2.91 2.996 3.703 3.89 3.664 3.812 4.052 4.58 360000000 10.76 10.73 10.63 10.48 10.79 13.33 14.00 13.19 13.72 14.59 16.49 12.61 -HK.09938 Ϳع 0.083 0.078 0.075 0.073 0.088 0.096 0.093 0.089 0.096 0.103 0.11 1000000000 0.83 0.78 0.75 0.73 0.88 0.96 0.93 0.89 0.96 1.03 1.10 0.89 -HK.09939 ҩҵ-B 1.208 1.109 1.029 0.907 1.008 1.263 1.186 1.316 1.538 2.149 2.228 468173000 5.66 5.19 4.82 4.25 4.72 5.91 5.55 6.16 7.20 10.06 10.43 6.36 -HK.09955 ƽ 1.647 1.315 1.219 1.204 1.583 1.35 1.062 1.071 1.06 1.355 1.485 645719000 10.63 8.49 7.87 7.77 10.22 8.72 6.86 6.92 6.84 8.75 9.59 8.42 -HK.09956 8.542 8.075 7.973 6.946 7.019 7.728 8.781 8.543 7.926 8.076 8.374 1176130000 100.47 94.97 93.77 81.69 82.55 90.89 103.28 100.48 93.22 94.98 98.49 94.07 -HK.09958 Ӱҵ 0.185 0.138 0.133 0.112 0.106 0.104 0.095 0.094 0.094 0.154 0.339 360000000 0.67 0.50 0.48 0.40 0.38 0.37 0.34 0.34 0.34 0.55 1.22 0.51 -HK.09959 ڿƼ-W 1.705 1.676 1.749 1.436 1.808 1.503 1.101 1.157 1.79 2.213 2.082 2136540000 36.43 35.81 37.37 30.68 38.63 32.11 23.52 24.72 38.24 47.28 44.48 35.39 -HK.09960 ʥ 1.292 1.143 1.118 1.109 1.227 1.321 1.244 1.315 1.339 1.439 1.596 1033750000 13.36 11.82 11.56 11.46 12.68 13.66 12.86 13.59 13.84 14.88 16.50 13.29 -HK.09961 Я̼-S 487.715 501.781 549.167 516.372 516.657 491.029 451.558 495.115 471.357 488.8 486.192 653603000 3187.72 3279.66 3589.37 3375.02 3376.89 3209.38 2951.40 3236.09 3080.80 3194.81 3177.77 3241.72 -HK.09963 ߿ 0.21 0.158 0.326 0.363 0.343 0.308 0.301 0.296 0.315 0.37 0.399 260000000 0.55 0.41 0.85 0.94 0.89 0.80 0.78 0.77 0.82 0.96 1.04 0.80 -HK.09966 ҩ-B 4.071 4.232 3.639 3.327 4.15 6.422 6.829 7.812 7.523 7.931 9.225 971196000 39.54 41.10 35.34 32.31 40.30 62.37 66.32 75.87 73.06 77.03 89.59 57.53 -HK.09968 㾰ع 0.031 0.027 0.021 0.014 0.014 0.015 0.025 0.023 5254000000 1.63 1.42 1.10 0.74 0.74 0.79 0.00 0.00 0.00 1.31 1.21 0.81 -HK.09969 ŵϽ 6.788 6.717 6.31 5.487 6.856 9.029 9.152 10.189 12.933 16.427 18.423 1494600000 101.45 100.39 94.31 82.01 102.47 134.95 136.79 152.28 193.30 245.52 275.35 147.17 -HK.09978 Բ 0.069 0.068 0.064 0.065 0.061 0.06 0.061 0.057 0.064 0.087 0.093 400000000 0.28 0.27 0.26 0.26 0.24 0.24 0.24 0.23 0.26 0.35 0.37 0.27 -HK.09979 ̳ǹع 3.281 2.935 2.955 2.858 2.692 2.949 2.462 2.433 2.615 2.884 2.857 2010000000 65.95 58.99 59.40 57.45 54.11 59.27 49.49 48.90 52.56 57.97 57.43 56.50 -HK.09983 ҵ 1.256 1.165 1.145 1.09 1.058 1.122 1.096 1.192 1.149 1.151 1.156 1299280000 16.32 15.14 14.88 14.16 13.75 14.58 14.24 15.49 14.93 14.95 15.02 14.86 -HK.09985 ζ 7.605 6.993 7.141 6.828 7.664 11.538 15.952 15.056 14.229 12.946 12.661 2431150000 184.89 170.01 173.61 166.00 186.32 280.51 387.82 366.03 345.93 314.74 307.81 262.15 -HK.09986 ɽ 2.606 3.33 2.586 2.235 2.057 1.509 1.572 1.58 1.558 1.424 1.232 800000000 20.85 26.64 20.69 17.88 16.46 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253.429 254.409 268.815 1342940000 836.42 1027.12 1220.06 1178.03 1403.98 1710.49 2193.33 2744.98 3403.40 3416.56 3610.02 2067.67 -HK.09993 Կع 3.515 3.284 3.019 2.734 2.75 2.469 2.366 2.772 2.864 2.923 2.83 4045230000 142.19 132.85 122.13 110.60 111.24 99.88 95.71 112.13 115.86 118.24 114.48 115.94 -HK.09995 ٲ 16.046 17.967 16.178 12.859 15.611 18.993 32.261 43.168 52.79 65.941 68.292 208581000 33.47 37.48 33.74 26.82 32.56 39.62 67.29 90.04 110.11 137.54 142.44 68.28 -HK.09996 ҽ-B 4.012 3.851 3.93 3.801 4.057 4.772 4.908 5.575 6.099 7.706 8.787 669513000 26.86 25.78 26.31 25.45 27.16 31.95 32.86 37.33 40.83 51.59 58.83 35.00 -HK.09997 ҽ 5.723 5.677 6.2 5.797 6.336 7.311 6.888 7.456 7.634 8.313 8.646 1207990000 69.13 68.58 74.90 70.03 76.54 88.32 83.21 90.07 92.22 100.42 104.44 83.44 -HK.09998 ٿع 0.102 0.093 0.101 0.098 0.122 0.142 0.117 0.162 0.187 0.182 0.223 800000000 0.82 0.74 0.81 0.78 0.98 1.14 0.94 1.30 1.50 1.46 1.78 1.11 -HK.09999 -S 130.786 125.298 141.223 146.885 157.788 157.303 155.583 179.096 204.662 209.291 205.554 3165990000 4140.67 3966.92 4471.11 4650.36 4995.55 4980.20 4925.74 5670.16 6479.58 6626.13 6507.82 5219.48 -HK.87001 Ͳҵ 0.578 0.55 0.513 0.489 0.496 0.496 0.459 0.475 0.495 0.578 0.525 6523200000 37.70 35.88 33.46 31.90 32.36 32.36 29.94 30.99 32.29 37.70 34.25 33.53 - - - - 1000 diff --git a/main.py b/main.py new file mode 100644 index 0000000..9d768eb --- /dev/null +++ b/main.py @@ -0,0 +1,154 @@ +import config + +from DataAnalysis import DataExporter +from base import LogHelper, Config +from datetime import datetime +from DataAnalysis import MarketDataCalculator +from tqdm import tqdm +from pathlib import Path +from UpdateFutuData.updatekline import * +from DataAnalysis.checktable import * + +# 导出数据 +def exportMonthlyAvgData() -> bool: + exporter = DataExporter(Config.ConfigInfo.db_hk_kline_1d) + + # 根据导出时间 -> 一般是当天计算，当天导出。（根据实际情况进行调整） + target_table_name = 'hk_monthly_avg_' + datetime.now().strftime("%Y%m%d") + target_file_name = 'hk_monthly_avg_' + datetime.now().strftime("%Y%m%d") + ".csv" + + return exporter.export_data( + monthly_table = target_table_name, + csv_file = target_file_name + ) + + +def calculate_update_monthly_avg_table() -> bool: + calculator = MarketDataCalculator(Config.ConfigInfo.db_hk_kline_1d) + try: + # 移除人民币交易的股票：股票名称最后一个字符为R，误删除的从配置文件读回来 + Reservedcode = calculator.read_stock_codes_list(Path.cwd().parent/"HKDataManagment" / "config"/"Reservedcode.txt") + market_data_ll = calculator.get_stock_codes() # 使用按照价格和流通股数量筛选的那个表格 + market_data = market_data_ll + Reservedcode + + # 根据统计时间进行命名 + target_table_name = 'hk_monthly_avg_' + datetime.now().strftime("%Y%m%d") + + # 使用tqdm创建进度条 + for code in tqdm(market_data, desc="处理股票数据", unit="支"): + tablename = 'hk_' + code[3:] + # 计算并保存月度均值 + calculator.calculate_and_save_monthly_avg( + source_table = tablename, + target_table=target_table_name + ) + return True + except Exception as e: + # logger.error(f"更新月均流通市值失败: {str(e)}") + return False + +if __name__ == "__main__": + # # 应用配置 + logger = LogHelper(logger_name = 'main').setup() + + # if True: + # logger.info("开始统计月度均值") + # success = calculate_update_monthly_avg_table() + # if success: + # logger.info("月度均值统计成功完成") + # else: + # logger.error("处理过程中出现错误") + + # if True: + # logger.info("开始导出数据") + # success = exportMonthlyAvgData() + # if success: + # logger.info("数据导出成功完成") + # else: + # logger.error("数据导出过程中出现错误") + + + # 数据库配置 + db_config = { + 'host': 'localhost', + 'user': 'root', + 'password': 'bzskmysql', + 'database': 'hk_kline_1d' + } + + # 创建检查器并运行 + checker = StockTableChecker(db_config) + checker.run_check() + + + futuStockFilter = FutuStockFilter(db_config) + futuStockFilter.run_direct_import() + + + # 创建导入器并运行, 用于每日更新流通股数量 -> 操作界面中增加一个开关，每天只需要更新一次 + futuStockFilter = FutuStockFilter(db_config) + futuStockFilter.run_direct_import() + + # 每个账号获取的数据独立开来 -> 操作见面可以选择 + market_data_all = get_stock_codes() + market_data_hang = read_single_account_stock_codes('config\hang_futu.txt') + market_data_kevin= read_single_account_stock_codes('config\kevin_futu.txt') + market_data_HK= read_single_account_stock_codes('config\HK_futu.txt') + market_data_new = list(set(market_data_all) - set(market_data_hang) - set(market_data_kevin) - set(market_data_HK)) + + write_missing_codes_to_txt(market_data_new) # 新股票添加到文件中 -> 暂时手动设置 + + # 动态调整 + """*********************************************""" + market_data = read_single_account_stock_codes('config\missing_codes.txt') + + # 每天收盘后更新数据 -> 操作界面中，这个参数需要放出来 + start_date = (datetime.now() - timedelta(days = 1)).strftime("%Y-%m-%d") + end_date = (datetime.now() + timedelta(days = 1)).strftime("%Y-%m-%d") + + # 获取流通股数据字典 + float_share_dict = get_float_share_data(db_config, 'stock_filter') # 假设数据在stock_filter表中 + + # 使用tqdm创建进度条 + for code in tqdm(market_data, desc="下载股票数据", unit="支"): + full_code = f"{code}" + + quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) + + # 从字典中获取流通股数量 + float_share = float_share_dict.get(code) if float_share_dict else None + + # 如果字典中没有找到，尝试从API获取 + if float_share is None: + float_share = get_float_share(quote_ctx, code) + if float_share is not None: + logger.info(f"从API获取股票 {code} 的流通股数量: {float_share}") + else: + logger.warning(f"无法获取股票 {code} 的流通股数量") + + # 获取历史K线数据 + ret, data, page_req_key = quote_ctx.request_history_kline(code, start=start_date, end=end_date, max_count=100) + + # 保存数据到自定义表 + custom_table_name = 'hk_' + code[3:] # 自定义表名 + + if ret == RET_OK: + success = save_quotes_to_db(db_config, data, table_name=custom_table_name, float_share=float_share) + else: + logger.error(f'error:{data}') + + isWhile = False # 只返回一页时增加请求延迟 + while page_req_key != None: # 请求后面的所有结果 + isWhile = True + ret, data, page_req_key = quote_ctx.request_history_kline(code, start=start_date, end=end_date, max_count=100, page_req_key=page_req_key) # 请求翻页后的数据 + if ret == RET_OK: + success = save_quotes_to_db(db_config, data, table_name=custom_table_name, float_share=float_share) + else: + logger.error(f'error:{ data}') + + time.sleep(0.7) + + if isWhile == False: + time.sleep(0.7) + + quote_ctx.close() # 结束后记得关闭当条连接，防止连接条数用尽