From 50bbcd7ca5d2ea9c9d3c6c030c8f00578c859956 Mon Sep 17 00:00:00 2001 From: oscar Date: Sat, 5 Oct 2024 16:38:23 +0800 Subject: [PATCH] Update .gitignore and add files. --- .gitignore | 8 + ...{get_hs300_his.py => bak_get_hs300_his.py} | 0 stockapp/bak_get_sp500_his.py | 105 + stockapp/bak_stat_hfq_kline.py | 156 + stockapp/config.py | 17 + stockapp/get_futu_rehb.py | 85 + stockapp/get_hs300_his_kline.py | 106 + stockapp/get_plat_list.py | 2 +- stockapp/get_sp500_his_kline.py | 110 + stockapp/log/stat_yield_5years_rate.log | 1009 +++++++ stockapp/sample/AAPL.csv | 2516 ++++++++++++++++ stockapp/sample/AAPL_10year_data.csv | 2518 +++++++++++++++++ stockapp/sample/HUBB_10year_data.csv | 2517 ++++++++++++++++ stockapp/sample/get_history_kline.py | 2 +- stockapp/sample/get_personal_list.py | 12 + stockapp/sample/get_rehab.py | 11 + stockapp/sample/get_yh_kline.py | 15 + stockapp/sample/get_yh_kline_download.py | 17 + stockapp/shell/stat.sql | 126 + stockapp/stat_adjust_kline.py | 189 ++ stockapp/stat_yield_rate.py | 17 +- 21 files changed, 9531 insertions(+), 7 deletions(-) create mode 100644 .gitignore rename stockapp/{get_hs300_his.py => bak_get_hs300_his.py} (100%) create mode 100644 stockapp/bak_get_sp500_his.py create mode 100644 stockapp/bak_stat_hfq_kline.py create mode 100644 stockapp/config.py create mode 100644 stockapp/get_futu_rehb.py create mode 100644 stockapp/get_hs300_his_kline.py create mode 100644 stockapp/get_sp500_his_kline.py create mode 100644 stockapp/sample/AAPL.csv create mode 100644 stockapp/sample/AAPL_10year_data.csv create mode 100644 stockapp/sample/HUBB_10year_data.csv create mode 100644 stockapp/sample/get_personal_list.py create mode 100644 stockapp/sample/get_rehab.py create mode 100644 stockapp/sample/get_yh_kline.py create mode 100644 stockapp/sample/get_yh_kline_download.py create mode 100644 stockapp/shell/stat.sql create mode 100644 stockapp/stat_adjust_kline.py diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..baf1067 --- /dev/null +++ b/.gitignore @@ -0,0 +1,8 @@ +# 忽略 log 目录 +log/ + +# 忽略 Python 编译文件 +*.pyc + +# 忽略环境配置文件 +.env \ No newline at end of file diff --git a/stockapp/get_hs300_his.py b/stockapp/bak_get_hs300_his.py similarity index 100% rename from stockapp/get_hs300_his.py rename to stockapp/bak_get_hs300_his.py diff --git a/stockapp/bak_get_sp500_his.py b/stockapp/bak_get_sp500_his.py new file mode 100644 index 0000000..7bf8567 --- /dev/null +++ b/stockapp/bak_get_sp500_his.py @@ -0,0 +1,105 @@ +import yfinance as yf +import pymysql +import logging +import time +import sys +from datetime import datetime + + +# 配置日志格式 +formatter = logging.Formatter('%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] - %(message)s') + +log_filename = f'./log/get_sp500_his.log' +file_handler = logging.FileHandler(log_filename) +file_handler.setFormatter(formatter) + +console_handler = logging.StreamHandler(sys.stdout) +console_handler.setFormatter(formatter) + +logging.basicConfig(level=logging.INFO, handlers=[file_handler, console_handler]) +logger = logging.getLogger() + +# MySQL数据库连接 +def connect_to_db(): + return pymysql.connect( + host="172.18.0.2", + user="root", + password="mysqlpw", + database="stockdb", + charset="utf8mb4", + cursorclass=pymysql.cursors.DictCursor + ) + +# 从MySQL读取sp500表中的股票代码和名称 +def fetch_sp500_codes(): + db = connect_to_db() + with db.cursor() as cursor: + # 全量 + cursor.execute("SELECT code_inner, code_name FROM sp500 ") + + # 下面这些股票不满10年，所以要用 max 参数，而不能用 10y + #cursor.execute("SELECT code_inner, code_name FROM sp500 where code_inner in ('ABNB', 'CARR', 'CEG', 'GEHC', 'GEV', 'HUBB', 'KVUE', 'OTIS', 'PLTR', 'SOLV', 'VLTO') ") + + # 失败重跑数据 + #cursor.execute("SELECT code_inner, code_name FROM sp500 where code_inner in ('HUBB') ") + codes = cursor.fetchall() + db.close() + return codes + +# 插入数据到sp500_his_kline_none表 +def insert_stock_data_to_db(data, code, name): + try: + db = connect_to_db() + with db.cursor() as cursor: + insert_query = """ + INSERT INTO sp500_his_kline_none (time_key, open, high, low, close, volume, dividends, stock_splits, code, name) + VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s) + ON DUPLICATE KEY UPDATE + open = VALUES(open), + high = VALUES(high), + low = VALUES(low), + close = VALUES(close), + volume = VALUES(volume), + dividends = VALUES(dividends), + stock_splits = VALUES(stock_splits) + """ + for index, row in data.iterrows(): + time_key = index.strftime('%Y-%m-%d %H:%M:%S') + values = (time_key, row['Open'], row['High'], row['Low'], row['Close'], row['Volume'], row['Dividends'], row['Stock Splits'], code, name) + cursor.execute(insert_query, values) + db.commit() + db.close() + except pymysql.MySQLError as e: + logger.error(f"Error occurred while inserting data: {e}") + +# 拉取股票的历史数据 +def fetch_and_store_stock_data(): + codes = fetch_sp500_codes() + + for row in codes: + code_inner = row['code_inner'] + code_name = row['code_name'] + logger.info(f"Fetching data for {code_name} ({code_inner})...") + + try: + stock = yf.Ticker(code_inner) + # 默认获取 十年的数据 + hist_data = stock.history(period="10y", auto_adjust=False) + + # 有些公司不满10年，不能用 10y，需要改为 max + #hist_data = stock.history(period="max", auto_adjust=True) + + if not hist_data.empty: + logger.info(f"Inserting data for {code_name} ({code_inner})...") + insert_stock_data_to_db(hist_data, code_inner, code_name) + else: + logger.warning(f"No data found for {code_name} ({code_inner})") + + # 每次请求完后休眠3秒 + time.sleep(3) + + except Exception as e: + logger.error(f"Error fetching data for {code_name} ({code_inner}): {e}") + +if __name__ == "__main__": + fetch_and_store_stock_data() \ No newline at end of file diff --git a/stockapp/bak_stat_hfq_kline.py b/stockapp/bak_stat_hfq_kline.py new file mode 100644 index 0000000..b72adf8 --- /dev/null +++ b/stockapp/bak_stat_hfq_kline.py @@ -0,0 +1,156 @@ +import pymysql +import logging +import sys +import time +import config +import argparse + +# 配置不同市场的表名管理 +tables_mapping = { + 'sp500': { + 'none_his_kline': 'sp500_his_kline_none', + 'hfq_his_kline': 'sp500_hfq_his_202410', + 'rehab_table': 'futu_rehab' + }, + 'hs300': { + 'none_his_kline': 'hs300_his_kline_none', + 'hfq_his_kline': 'hs300_hfq_his_202410', + 'rehab_table': 'futu_rehab' + } +} + +# 日志配置 +config.setup_logging("./log/stat_hfq_kline.log") +logger = logging.getLogger() + +# MySQL数据库连接 +def connect_to_db(): + try: + return pymysql.connect( + **config.db_config, + cursorclass=pymysql.cursors.DictCursor + ) + except pymysql.MySQLError as e: + logger.error(f"Error connecting to the database: {e}", exc_info=True) + return None + +# 从指定市场表中读取code和code_name字段 +def fetch_codes_from_market_table(market): + db = connect_to_db() + if db is None: + logger.error("Failed to connect to database.") + return [] + + try: + with db.cursor() as cursor: + cursor.execute(f"SELECT code, code_name FROM {market} limit 1") + codes = cursor.fetchall() + return codes + finally: + db.close() + +# 读取复权因子数据 +def fetch_rehab_data(db, code): + try: + with db.cursor() as cursor: + cursor.execute(f"SELECT ex_div_date, backward_adj_factorA, backward_adj_factorB FROM futu_rehab WHERE code = %s ORDER BY ex_div_date DESC", (code,)) + return cursor.fetchall() + except pymysql.MySQLError as e: + logger.error(f"Error fetching rehab data for {code}: {e}", exc_info=True) + return [] + +# 读取不复权的股票价格数据 +def fetch_kline_none_data(db, table_name, code): + try: + with db.cursor() as cursor: + cursor.execute(f"SELECT code, time_key, close FROM {table_name} WHERE code = %s ORDER BY time_key ASC", (code,)) + return cursor.fetchall() + except pymysql.MySQLError as e: + logger.error(f"Error fetching kline none data for {code}: {e}", exc_info=True) + return [] + +# 插入后复权价格到 hfq 表 +def insert_hfq_data(db, hfq_data, hfq_table): + try: + with db.cursor() as cursor: + insert_query = f""" + INSERT INTO {hfq_table} (code, name, time_key, open, close) + VALUES (%s, %s, %s, %s, %s) + ON DUPLICATE KEY UPDATE close = VALUES(close) + """ + cursor.executemany(insert_query, hfq_data) + db.commit() + except pymysql.MySQLError as e: + logger.error(f"Error inserting hfq data: {e}", exc_info=True) + +# 计算后复权价格 +def calculate_hfq_price(market): + db = connect_to_db() + if db is None: + return + + # 获取表名 + table_names = tables_mapping[market] + none_his_kline_table = table_names['none_his_kline'] + hfq_his_kline_table = table_names['hfq_his_kline'] + + # 获取股票代码 + codes = fetch_codes_from_market_table(market) + + for row in codes: + code = row['code'] + name = row['code_name'] + + # 如果是 sp500 市场，拼接 'US.' + code + rehab_code = code + if market == 'sp500': + rehab_code = 'US.' + code + + logger.info(f"Processing {code} ({name})...") + + # 获取复权因子数据 + rehab_res = fetch_rehab_data(db, rehab_code) + if not rehab_res: + logger.warning(f"No rehab data found for {code}") + continue + + # 获取不复权的价格数据 + kline_none = fetch_kline_none_data(db, none_his_kline_table, code) + if not kline_none: + logger.warning(f"No kline none data found for {code}") + continue + + hfq_data = [] + # 遍历kline_none，计算后复权价格 + for kline_row in kline_none: + close_price = kline_row['close'] + time_key = kline_row['time_key'] + + # 将 time_key 转换为 date 格式 + time_key_date = time_key.date() + + # 遍历 rehab_res，找到相应的复权因子 + for rehab_row in rehab_res: + if rehab_row['ex_div_date'] <= time_key_date: + hfq_close = (close_price * rehab_row['backward_adj_factorA']) + rehab_row['backward_adj_factorB'] + close_price = hfq_close + + # 保存计算后的复权价格 + hfq_data.append((code, name, time_key, 0.0, hfq_close)) + + # 插入后复权价格数据 + insert_hfq_data(db, hfq_data, hfq_his_kline_table) + logger.info(f"Inserted HFQ data for {code} ({name})") + + time.sleep(1) + + db.close() + +if __name__ == "__main__": + # 命令行参数处理 + parser = argparse.ArgumentParser(description='Calculate HFQ Prices for Market') + parser.add_argument('--market', type=str, default='hs300', help='Market to process (sp500 or hs300)') + args = parser.parse_args() + + # 调用主函数 + calculate_hfq_price(args.market) \ No newline at end of file diff --git a/stockapp/config.py b/stockapp/config.py new file mode 100644 index 0000000..d633d7f --- /dev/null +++ b/stockapp/config.py @@ -0,0 +1,17 @@ +import logging + +# MySQL 配置 +db_config = { + 'host': '172.18.0.2', + 'user': 'root', + 'password': 'mysqlpw', + 'database': 'stockdb' +} + +# 设置日志配置 +def setup_logging(log_filename): + logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] - %(message)s', + handlers=[ + logging.FileHandler(log_filename), + logging.StreamHandler() + ]) diff --git a/stockapp/get_futu_rehb.py b/stockapp/get_futu_rehb.py new file mode 100644 index 0000000..86bfc6b --- /dev/null +++ b/stockapp/get_futu_rehb.py @@ -0,0 +1,85 @@ +import logging +import pymysql +import time +from futu import * +import pandas as pd +import config + +# 设置日志 +config.setup_logging("./log/futu_rehab.log") + +# 连接 MySQL 数据库 +def get_mysql_connection(): + return pymysql.connect(**config.db_config) + +# 获取股票代码列表 +def get_stock_codes(table_name): + connection = get_mysql_connection() + with connection.cursor(pymysql.cursors.DictCursor) as cursor: + cursor.execute(f"SELECT code, code_name FROM {table_name} ") + result = cursor.fetchall() + connection.close() + return result + +# 插入或更新复权信息 +def insert_or_update_rehab_data(connection, rehab_data, code, name): + try: + with connection.cursor() as cursor: + sql = """ + INSERT INTO futu_rehab (code, name, ex_div_date, forward_adj_factorA, forward_adj_factorB, backward_adj_factorA, backward_adj_factorB) + VALUES (%s, %s, %s, %s, %s, %s, %s) + ON DUPLICATE KEY UPDATE + forward_adj_factorA = VALUES(forward_adj_factorA), + forward_adj_factorB = VALUES(forward_adj_factorB), + backward_adj_factorA = VALUES(backward_adj_factorA), + backward_adj_factorB = VALUES(backward_adj_factorB) + """ + for row in rehab_data.itertuples(index=False): + cursor.execute(sql, (code, name, row.ex_div_date, row.forward_adj_factorA, row.forward_adj_factorB, row.backward_adj_factorA, row.backward_adj_factorB)) + connection.commit() + except pymysql.MySQLError as e: + logging.error(f"Error occurred while inserting or updating rehab data: {e}", exc_info=True) + +# 从 Futu API 获取复权信息 +def get_rehab_data(code): + quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) + ret, data = quote_ctx.get_rehab(code) + + quote_ctx.close() + if ret == RET_OK: + return data + else: + logging.error(f"Failed to get rehab data for {code}: {data}") + return None + +# 主函数 +def process_stock_data(table_name, prefix=''): + stocks = get_stock_codes(table_name) + connection = get_mysql_connection() + + for stock in stocks: + code = stock['code'] + name = stock['code_name'] + + # 拼接 'US.' 前缀对于 sp500 表中的股票 + full_code = f"{prefix}{code}" if prefix else code + + logging.info(f"Processing {full_code} ({name})") + + # 获取复权数据 + rehab_data = get_rehab_data(full_code) + if rehab_data is not None: + # 插入或更新复权数据 + insert_or_update_rehab_data(connection, rehab_data, full_code, name) + logging.info(f"Inserted/Updated rehab data for {full_code} ({name})") + + time.sleep(3) + + connection.close() + +if __name__ == "__main__": + # 处理 hs300 表数据，不需要加 'US.' 前缀 + process_stock_data("hs300") + + # 处理 sp500 表数据，加 'US.' 前缀 + process_stock_data("sp500", prefix='US.') \ No newline at end of file diff --git a/stockapp/get_hs300_his_kline.py b/stockapp/get_hs300_his_kline.py new file mode 100644 index 0000000..44af203 --- /dev/null +++ b/stockapp/get_hs300_his_kline.py @@ -0,0 +1,106 @@ +import pymysql +import time +import logging +from futu import * +from datetime import datetime, timedelta +import config + +config.setup_logging("./log/get_hs300_his_kline.log") + +# 连接 MySQL +connection = pymysql.connect(**config.db_config) + +# 复权类型，不复权 +# selected_autype = AuType.NONE +# selected_table = "hs300_his_kline_none" + +# 复权类型，后复权 +selected_autype = AuType.HFQ +selected_table = "hs300_his_kline_hfq" + +# 复权类型，默认为 AuType.QFQ ，即前复权 +# selected_autype = AuType.QFQ +# selected_table = "hs300_qfq_his" + +# 获取当前日期 +end_date = datetime.now().strftime('%Y-%m-%d') +# 计算 start_date 为当前日期减去10年，再加一天 +start_date = (datetime.now() - timedelta(days=365*10-1)).strftime('%Y-%m-%d') + +# 定义插入数据的函数 +def insert_data(connection, data): + try: + with connection.cursor() as cursor: + for index, row in data.iterrows(): + sql = f""" + INSERT INTO {selected_table} (code, name, time_key, open, close, high, low, pe_ratio, turnover_rate, volume, turnover, change_rate, last_close) + VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s) + ON DUPLICATE KEY UPDATE + name = VALUES(name), + open = VALUES(open), + close = VALUES(close), + high = VALUES(high), + low = VALUES(low), + pe_ratio = VALUES(pe_ratio), + turnover_rate = VALUES(turnover_rate), + volume = VALUES(volume), + turnover = VALUES(turnover), + change_rate = VALUES(change_rate), + last_close = VALUES(last_close) + """ + cursor.execute(sql, ( + row['code'], row['name'], row['time_key'], row['open'], row['close'], + row['high'], row['low'], row['pe_ratio'], row['turnover_rate'], + row['volume'], row['turnover'], row['change_rate'], row['last_close'] + )) + connection.commit() + except pymysql.MySQLError as e: + logging.error(f"Error occurred while inserting data: {e}") + print(f"Error occurred while inserting data: {e}") + +# 获取 hs300 表中的所有股票代码 +def get_hs300_codes(): + with connection.cursor() as cursor: + cursor.execute("SELECT code FROM hs300 ") + return cursor.fetchall() + +# 初始化 futu 行情连接 +quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) + +try: + hs300_codes = get_hs300_codes() + for code_row in hs300_codes: + code = code_row[0] # 从数据库行中提取 code + + # 获取历史 K 线数据，设置分页请求 + ret, data, page_req_key = quote_ctx.request_history_kline(code, autype=selected_autype, start=start_date, end=end_date, max_count=500) + if ret == RET_OK: + logging.info(f"成功获取 {code} 的第一页数据，共 {len(data)} 行") + print(f"成功获取 {code} 的第一页数据，共 {len(data)} 行") + + # 插入第一页数据 + insert_data(connection, data) + else: + logging.error(f"获取 {code} 的数据失败: {data}") + print(f"获取 {code} 的数据失败: {data}") + + # 分页拉取 + while page_req_key is not None: + time.sleep(1) # 休眠 5 秒 + ret, data, page_req_key = quote_ctx.request_history_kline(code, autype=selected_autype, start=start_date, end=end_date, max_count=500, page_req_key=page_req_key) + if ret == RET_OK: + logging.info(f"成功获取 {code} 的分页数据，共 {len(data)} 行") + print(f"成功获取 {code} 的分页数据，共 {len(data)} 行") + + # 插入分页数据 + insert_data(connection, data) + else: + logging.error(f"分页数据获取失败: {data}") + print(f"分页数据获取失败: {data}") + + # 每次获取完一个股票的数据后，休眠 5 秒 + time.sleep(2) + +finally: + quote_ctx.close() # 关闭 futu 连接 + connection.close() # 关闭 MySQL 连接 \ No newline at end of file diff --git a/stockapp/get_plat_list.py b/stockapp/get_plat_list.py index 205d445..26d1253 100644 --- a/stockapp/get_plat_list.py +++ b/stockapp/get_plat_list.py @@ -46,7 +46,7 @@ def insert_or_update_data(connection, data, market, plat): # MySQL 插入或更新语句 sql = """ - INSERT INTO plat_list (code, plate_name, plate_id, market, plat, up_date) + INSERT INTO futu_plat_list (code, plate_name, plate_id, market, plat, up_date) VALUES (%s, %s, %s, %s, %s, %s) ON DUPLICATE KEY UPDATE plate_name = VALUES(plate_name), diff --git a/stockapp/get_sp500_his_kline.py b/stockapp/get_sp500_his_kline.py new file mode 100644 index 0000000..1cf0f76 --- /dev/null +++ b/stockapp/get_sp500_his_kline.py @@ -0,0 +1,110 @@ +import yfinance as yf +import pymysql +import logging +import time +import sys +from datetime import datetime +import config # 引入 config.py 中的配置 + +# 股票代码集合，如果属于这些股票，则使用 "max" 时间段 +special_stock_codes = ('ABNB', 'CARR', 'CEG', 'GEHC', 'GEV', 'HUBB', 'KVUE', 'OTIS', 'PLTR', 'SOLV', 'VLTO') + +# K线调整选项，决定是否使用前复权价格 +kline_adjust = False + +# 根据 kline_adjust 决定使用的表名 +table_name = 'sp500_qfq_his_202410' if kline_adjust else 'sp500_his_kline_none' + +# 使用 config.py 中的日志配置 +config.setup_logging("./log/get_sp500_his_kline.log") +logger = logging.getLogger() + +# MySQL数据库连接 +def connect_to_db(): + try: + #return pymysql.connect(**config.db_config) + return pymysql.connect( + **config.db_config, + cursorclass=pymysql.cursors.DictCursor # 确保使用字典形式的游标 + ) + except pymysql.MySQLError as e: + logger.error(f"Error connecting to the database: {e}", exc_info=True) + return None + +# 从MySQL读取sp500表中的股票代码和名称 +def fetch_sp500_codes(): + db = connect_to_db() + if db is None: + logger.error("Failed to connect to database.") + return [] + + try: + with db.cursor() as cursor: + cursor.execute("SELECT code_inner, code_name FROM sp500 ") + codes = cursor.fetchall() + return codes + finally: + db.close() + +# 插入数据到指定表名 +def insert_stock_data_to_db(data, code, name): + try: + db = connect_to_db() + if db is None: + return + + with db.cursor() as cursor: + insert_query = f""" + INSERT INTO {table_name} (time_key, open, high, low, close, volume, dividends, stock_splits, code, name) + VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s) + ON DUPLICATE KEY UPDATE + open = VALUES(open), + high = VALUES(high), + low = VALUES(low), + close = VALUES(close), + volume = VALUES(volume), + dividends = VALUES(dividends), + stock_splits = VALUES(stock_splits) + """ + for index, row in data.iterrows(): + time_key = index.strftime('%Y-%m-%d %H:%M:%S') + values = (time_key, row['Open'], row['High'], row['Low'], row['Close'], row['Volume'], row['Dividends'], row['Stock Splits'], code, name) + cursor.execute(insert_query, values) + db.commit() + except pymysql.MySQLError as e: + logger.error(f"Error occurred while inserting data: {e}", exc_info=True) + finally: + if db: + db.close() + +# 拉取股票的历史数据 +def fetch_and_store_stock_data(): + codes = fetch_sp500_codes() + + for row in codes: + code_inner = row['code_inner'] + code_name = row['code_name'] + logger.info(f"Fetching data for {code_name} ({code_inner})...") + + # 判断使用的时间段，特殊股票使用 max，其他使用 10y + period = "max" if code_inner in special_stock_codes else "10y" + + try: + stock = yf.Ticker(code_inner) + # 拉取股票历史数据，使用 kline_adjust 决定 auto_adjust 是否为 True + hist_data = stock.history(period=period, auto_adjust=kline_adjust) + + if not hist_data.empty: + logger.info(f"Inserting data for {code_name} ({code_inner}) into {table_name}...") + insert_stock_data_to_db(hist_data, code_inner, code_name) + else: + logger.warning(f"No data found for {code_name} ({code_inner})") + + # 每次请求完后休眠3秒 + time.sleep(3) + + except Exception as e: + logger.error(f"Error fetching data for {code_name} ({code_inner}): {e}", exc_info=True) + +if __name__ == "__main__": + fetch_and_store_stock_data() \ No newline at end of file diff --git a/stockapp/log/stat_yield_5years_rate.log b/stockapp/log/stat_yield_5years_rate.log index 7b37abe..d7e4426 100644 --- a/stockapp/log/stat_yield_5years_rate.log +++ b/stockapp/log/stat_yield_5years_rate.log @@ -600,3 +600,1012 @@ 2024-10-03 10:47:08,741 INFO [stat_yield_rate.py:268] - 完成 SH.688599 的处理 2024-10-03 10:47:08,741 INFO [stat_yield_rate.py:258] - 开始处理 SH.688981 (中芯国际) 的数据 2024-10-03 10:47:08,858 INFO [stat_yield_rate.py:268] - 完成 SH.688981 的处理 +2024-10-03 18:49:03,592 INFO [stat_yield_rate.py:265] - 开始处理 A (Agilent Technologies Inc) 的数据 +2024-10-03 18:49:06,493 INFO [stat_yield_rate.py:275] - 完成 A 的处理 +2024-10-03 21:25:00,404 INFO [stat_yield_rate.py:265] - 开始处理 A (Agilent Technologies Inc) 的数据 +2024-10-03 21:25:03,392 INFO [stat_yield_rate.py:275] - 完成 A 的处理 +2024-10-03 21:25:03,392 INFO [stat_yield_rate.py:265] - 开始处理 AAPL (Apple Inc) 的数据 +2024-10-03 21:25:06,394 INFO [stat_yield_rate.py:275] - 完成 AAPL 的处理 +2024-10-03 21:25:06,394 INFO [stat_yield_rate.py:265] - 开始处理 ABBV (Abbvie Inc) 的数据 +2024-10-03 21:25:09,421 INFO [stat_yield_rate.py:275] - 完成 ABBV 的处理 +2024-10-03 21:25:09,421 INFO [stat_yield_rate.py:265] - 开始处理 ABNB (Airbnb Inc) 的数据 +2024-10-03 21:25:09,968 INFO [stat_yield_rate.py:275] - 完成 ABNB 的处理 +2024-10-03 21:25:09,968 INFO [stat_yield_rate.py:265] - 开始处理 ABT (Abbott Laboratories) 的数据 +2024-10-03 21:25:12,653 INFO [stat_yield_rate.py:275] - 完成 ABT 的处理 +2024-10-03 21:25:12,653 INFO [stat_yield_rate.py:265] - 开始处理 ACGL (Arch Capital Group Ltd) 的数据 +2024-10-03 21:25:15,228 INFO [stat_yield_rate.py:275] - 完成 ACGL 的处理 +2024-10-03 21:25:15,228 INFO [stat_yield_rate.py:265] - 开始处理 ACN (Accenture Plc Class A) 的数据 +2024-10-03 21:25:17,610 INFO [stat_yield_rate.py:275] - 完成 ACN 的处理 +2024-10-03 21:25:17,610 INFO [stat_yield_rate.py:265] - 开始处理 ADBE (Adobe Inc) 的数据 +2024-10-03 21:25:19,984 INFO [stat_yield_rate.py:275] - 完成 ADBE 的处理 +2024-10-03 21:25:19,984 INFO [stat_yield_rate.py:265] - 开始处理 ADI (Analog Devices Inc) 的数据 +2024-10-03 21:25:22,530 INFO [stat_yield_rate.py:275] - 完成 ADI 的处理 +2024-10-03 21:25:22,530 INFO [stat_yield_rate.py:265] - 开始处理 ADM (Archer Daniels Midland) 的数据 +2024-10-03 21:25:25,474 INFO [stat_yield_rate.py:275] - 完成 ADM 的处理 +2024-10-03 21:25:25,474 INFO [stat_yield_rate.py:265] - 开始处理 ADP (Automatic Data Processing Inc) 的数据 +2024-10-03 21:25:27,877 INFO [stat_yield_rate.py:275] - 完成 ADP 的处理 +2024-10-03 21:25:27,877 INFO [stat_yield_rate.py:265] - 开始处理 ADSK (Autodesk Inc) 的数据 +2024-10-03 21:25:30,410 INFO [stat_yield_rate.py:275] - 完成 ADSK 的处理 +2024-10-03 21:25:30,410 INFO [stat_yield_rate.py:265] - 开始处理 AEE (Ameren Corp) 的数据 +2024-10-03 21:25:32,979 INFO [stat_yield_rate.py:275] - 完成 AEE 的处理 +2024-10-03 21:25:32,979 INFO [stat_yield_rate.py:265] - 开始处理 AEP (American Electric Power Inc) 的数据 +2024-10-03 21:25:35,611 INFO [stat_yield_rate.py:275] - 完成 AEP 的处理 +2024-10-03 21:25:35,611 INFO [stat_yield_rate.py:265] - 开始处理 AES (Aes Corp) 的数据 +2024-10-03 21:25:38,345 INFO [stat_yield_rate.py:275] - 完成 AES 的处理 +2024-10-03 21:25:38,345 INFO [stat_yield_rate.py:265] - 开始处理 AFL (Aflac Inc) 的数据 +2024-10-03 21:25:40,711 INFO [stat_yield_rate.py:275] - 完成 AFL 的处理 +2024-10-03 21:25:40,711 INFO [stat_yield_rate.py:265] - 开始处理 AIG (American International Group Inc) 的数据 +2024-10-03 21:25:43,505 INFO [stat_yield_rate.py:275] - 完成 AIG 的处理 +2024-10-03 21:25:43,506 INFO [stat_yield_rate.py:265] - 开始处理 AIZ (Assurant Inc) 的数据 +2024-10-03 21:25:46,039 INFO [stat_yield_rate.py:275] - 完成 AIZ 的处理 +2024-10-03 21:25:46,039 INFO [stat_yield_rate.py:265] - 开始处理 AJG (Arthur J Gallagher) 的数据 +2024-10-03 21:25:48,585 INFO [stat_yield_rate.py:275] - 完成 AJG 的处理 +2024-10-03 21:25:48,585 INFO [stat_yield_rate.py:265] - 开始处理 AKAM (Akamai Technologies Inc) 的数据 +2024-10-03 21:25:51,399 INFO [stat_yield_rate.py:275] - 完成 AKAM 的处理 +2024-10-03 21:25:51,400 INFO [stat_yield_rate.py:265] - 开始处理 ALB (Albemarle Corp) 的数据 +2024-10-03 21:25:54,070 INFO [stat_yield_rate.py:275] - 完成 ALB 的处理 +2024-10-03 21:25:54,070 INFO [stat_yield_rate.py:265] - 开始处理 ALGN (Align Technology Inc) 的数据 +2024-10-03 21:25:56,530 INFO [stat_yield_rate.py:275] - 完成 ALGN 的处理 +2024-10-03 21:25:56,530 INFO [stat_yield_rate.py:265] - 开始处理 ALL (Allstate Corp) 的数据 +2024-10-03 21:25:59,121 INFO [stat_yield_rate.py:275] - 完成 ALL 的处理 +2024-10-03 21:25:59,121 INFO [stat_yield_rate.py:265] - 开始处理 ALLE (Allegion Plc) 的数据 +2024-10-03 21:26:01,550 INFO [stat_yield_rate.py:275] - 完成 ALLE 的处理 +2024-10-03 21:26:01,550 INFO [stat_yield_rate.py:265] - 开始处理 AMAT (Applied Material Inc) 的数据 +2024-10-03 21:26:04,267 INFO [stat_yield_rate.py:275] - 完成 AMAT 的处理 +2024-10-03 21:26:04,267 INFO [stat_yield_rate.py:265] - 开始处理 AMCR (Amcor Plc) 的数据 +2024-10-03 21:26:08,695 INFO [stat_yield_rate.py:275] - 完成 AMCR 的处理 +2024-10-03 21:26:08,696 INFO [stat_yield_rate.py:265] - 开始处理 AMD (Advanced Micro Devices Inc) 的数据 +2024-10-03 21:26:11,307 INFO [stat_yield_rate.py:275] - 完成 AMD 的处理 +2024-10-03 21:26:11,307 INFO [stat_yield_rate.py:265] - 开始处理 AME (Ametek Inc) 的数据 +2024-10-03 21:26:13,870 INFO [stat_yield_rate.py:275] - 完成 AME 的处理 +2024-10-03 21:26:13,870 INFO [stat_yield_rate.py:265] - 开始处理 AMGN (Amgen Inc) 的数据 +2024-10-03 21:26:16,400 INFO [stat_yield_rate.py:275] - 完成 AMGN 的处理 +2024-10-03 21:26:16,400 INFO [stat_yield_rate.py:265] - 开始处理 AMP (Ameriprise Finance Inc) 的数据 +2024-10-03 21:26:19,361 INFO [stat_yield_rate.py:275] - 完成 AMP 的处理 +2024-10-03 21:26:19,361 INFO [stat_yield_rate.py:265] - 开始处理 AMT (American Tower Reit Corp) 的数据 +2024-10-03 21:26:21,845 INFO [stat_yield_rate.py:275] - 完成 AMT 的处理 +2024-10-03 21:26:21,845 INFO [stat_yield_rate.py:265] - 开始处理 AMZN (Amazon Com Inc) 的数据 +2024-10-03 21:26:24,232 INFO [stat_yield_rate.py:275] - 完成 AMZN 的处理 +2024-10-03 21:26:24,232 INFO [stat_yield_rate.py:265] - 开始处理 ANET (Arista Networks Inc) 的数据 +2024-10-03 21:26:26,863 INFO [stat_yield_rate.py:275] - 完成 ANET 的处理 +2024-10-03 21:26:26,863 INFO [stat_yield_rate.py:265] - 开始处理 ANSS (Ansys Inc) 的数据 +2024-10-03 21:26:29,262 INFO [stat_yield_rate.py:275] - 完成 ANSS 的处理 +2024-10-03 21:26:29,262 INFO [stat_yield_rate.py:265] - 开始处理 AON (Aon Plc Class A) 的数据 +2024-10-03 21:26:31,662 INFO [stat_yield_rate.py:275] - 完成 AON 的处理 +2024-10-03 21:26:31,663 INFO [stat_yield_rate.py:265] - 开始处理 AOS (A O Smith Corp) 的数据 +2024-10-03 21:26:34,207 INFO [stat_yield_rate.py:275] - 完成 AOS 的处理 +2024-10-03 21:26:34,207 INFO [stat_yield_rate.py:265] - 开始处理 APA (Apa Corp) 的数据 +2024-10-03 21:26:39,072 INFO [stat_yield_rate.py:275] - 完成 APA 的处理 +2024-10-03 21:26:39,072 INFO [stat_yield_rate.py:265] - 开始处理 APD (Air Products And Chemicals Inc) 的数据 +2024-10-03 21:26:41,601 INFO [stat_yield_rate.py:275] - 完成 APD 的处理 +2024-10-03 21:26:41,601 INFO [stat_yield_rate.py:265] - 开始处理 APH (Amphenol Corp Class A) 的数据 +2024-10-03 21:26:44,070 INFO [stat_yield_rate.py:275] - 完成 APH 的处理 +2024-10-03 21:26:44,071 INFO [stat_yield_rate.py:265] - 开始处理 APTV (Aptiv Plc) 的数据 +2024-10-03 21:26:46,614 INFO [stat_yield_rate.py:275] - 完成 APTV 的处理 +2024-10-03 21:26:46,614 INFO [stat_yield_rate.py:265] - 开始处理 ARE (Alexandria Real Estate Equities Re) 的数据 +2024-10-03 21:26:49,095 INFO [stat_yield_rate.py:275] - 完成 ARE 的处理 +2024-10-03 21:26:49,095 INFO [stat_yield_rate.py:265] - 开始处理 ATO (Atmos Energy Corp) 的数据 +2024-10-03 21:26:51,512 INFO [stat_yield_rate.py:275] - 完成 ATO 的处理 +2024-10-03 21:26:51,512 INFO [stat_yield_rate.py:265] - 开始处理 AVB (Avalonbay Communities Reit Inc) 的数据 +2024-10-03 21:26:54,010 INFO [stat_yield_rate.py:275] - 完成 AVB 的处理 +2024-10-03 21:26:54,010 INFO [stat_yield_rate.py:265] - 开始处理 AVGO (Broadcom Inc) 的数据 +2024-10-03 21:26:56,431 INFO [stat_yield_rate.py:275] - 完成 AVGO 的处理 +2024-10-03 21:26:56,431 INFO [stat_yield_rate.py:265] - 开始处理 AVY (Avery Dennison Corp) 的数据 +2024-10-03 21:26:58,868 INFO [stat_yield_rate.py:275] - 完成 AVY 的处理 +2024-10-03 21:26:58,868 INFO [stat_yield_rate.py:265] - 开始处理 AWK (American Water Works Inc) 的数据 +2024-10-03 21:27:01,353 INFO [stat_yield_rate.py:275] - 完成 AWK 的处理 +2024-10-03 21:27:01,353 INFO [stat_yield_rate.py:265] - 开始处理 AXON (Axon Enterprise Inc) 的数据 +2024-10-03 21:27:04,166 INFO [stat_yield_rate.py:275] - 完成 AXON 的处理 +2024-10-03 21:27:04,167 INFO [stat_yield_rate.py:265] - 开始处理 AXP (American Express) 的数据 +2024-10-03 21:27:07,219 INFO [stat_yield_rate.py:275] - 完成 AXP 的处理 +2024-10-03 21:27:07,219 INFO [stat_yield_rate.py:265] - 开始处理 AZO (Autozone Inc) 的数据 +2024-10-03 21:27:09,920 INFO [stat_yield_rate.py:275] - 完成 AZO 的处理 +2024-10-03 21:27:09,920 INFO [stat_yield_rate.py:265] - 开始处理 BA (Boeing) 的数据 +2024-10-03 21:27:12,567 INFO [stat_yield_rate.py:275] - 完成 BA 的处理 +2024-10-03 21:27:12,568 INFO [stat_yield_rate.py:265] - 开始处理 BAC (Bank Of America Corp) 的数据 +2024-10-03 21:27:15,240 INFO [stat_yield_rate.py:275] - 完成 BAC 的处理 +2024-10-03 21:27:15,240 INFO [stat_yield_rate.py:265] - 开始处理 BALL (Ball Corp) 的数据 +2024-10-03 21:27:17,766 INFO [stat_yield_rate.py:275] - 完成 BALL 的处理 +2024-10-03 21:27:17,767 INFO [stat_yield_rate.py:265] - 开始处理 BAX (Baxter International Inc) 的数据 +2024-10-03 21:27:20,276 INFO [stat_yield_rate.py:275] - 完成 BAX 的处理 +2024-10-03 21:27:20,276 INFO [stat_yield_rate.py:265] - 开始处理 BBWI (Bath And Body Works Inc) 的数据 +2024-10-03 21:27:24,398 INFO [stat_yield_rate.py:275] - 完成 BBWI 的处理 +2024-10-03 21:27:24,398 INFO [stat_yield_rate.py:265] - 开始处理 BBY (Best Buy Co Inc) 的数据 +2024-10-03 21:27:27,085 INFO [stat_yield_rate.py:275] - 完成 BBY 的处理 +2024-10-03 21:27:27,085 INFO [stat_yield_rate.py:265] - 开始处理 BDX (Becton Dickinson) 的数据 +2024-10-03 21:27:29,498 INFO [stat_yield_rate.py:275] - 完成 BDX 的处理 +2024-10-03 21:27:29,498 INFO [stat_yield_rate.py:265] - 开始处理 BEN (Franklin Resources Inc) 的数据 +2024-10-03 21:27:34,369 INFO [stat_yield_rate.py:275] - 完成 BEN 的处理 +2024-10-03 21:27:34,369 INFO [stat_yield_rate.py:265] - 开始处理 BFB (Brown Forman Corp Class B) 的数据 +2024-10-03 21:27:34,777 WARNING [stat_yield_rate.py:269] - 未找到 BFB 的历史数据 +2024-10-03 21:27:34,777 INFO [stat_yield_rate.py:265] - 开始处理 BG (Bunge Ltd) 的数据 +2024-10-03 21:27:38,154 INFO [stat_yield_rate.py:275] - 完成 BG 的处理 +2024-10-03 21:27:38,154 INFO [stat_yield_rate.py:265] - 开始处理 BIIB (Biogen Inc) 的数据 +2024-10-03 21:27:41,712 INFO [stat_yield_rate.py:275] - 完成 BIIB 的处理 +2024-10-03 21:27:41,712 INFO [stat_yield_rate.py:265] - 开始处理 BK (Bank Of New York Mellon Corp) 的数据 +2024-10-03 21:27:44,318 INFO [stat_yield_rate.py:275] - 完成 BK 的处理 +2024-10-03 21:27:44,318 INFO [stat_yield_rate.py:265] - 开始处理 BKNG (Booking Holdings Inc) 的数据 +2024-10-03 21:27:46,893 INFO [stat_yield_rate.py:275] - 完成 BKNG 的处理 +2024-10-03 21:27:46,893 INFO [stat_yield_rate.py:265] - 开始处理 BKR (Baker Hughes Class A) 的数据 +2024-10-03 21:27:51,134 INFO [stat_yield_rate.py:275] - 完成 BKR 的处理 +2024-10-03 21:27:51,134 INFO [stat_yield_rate.py:265] - 开始处理 BLDR (Builders FirstSource Inc) 的数据 +2024-10-03 21:27:53,819 INFO [stat_yield_rate.py:275] - 完成 BLDR 的处理 +2024-10-03 21:27:53,819 INFO [stat_yield_rate.py:265] - 开始处理 BLK (Blackrock Inc) 的数据 +2024-10-03 21:27:56,439 INFO [stat_yield_rate.py:275] - 完成 BLK 的处理 +2024-10-03 21:27:56,439 INFO [stat_yield_rate.py:265] - 开始处理 BMY (Bristol Myers Squibb) 的数据 +2024-10-03 21:27:59,169 INFO [stat_yield_rate.py:275] - 完成 BMY 的处理 +2024-10-03 21:27:59,169 INFO [stat_yield_rate.py:265] - 开始处理 BR (Broadridge Financial Solutions Inc) 的数据 +2024-10-03 21:28:01,621 INFO [stat_yield_rate.py:275] - 完成 BR 的处理 +2024-10-03 21:28:01,622 INFO [stat_yield_rate.py:265] - 开始处理 BRKB (Berkshire Hathaway Inc Class B) 的数据 +2024-10-03 21:28:02,029 WARNING [stat_yield_rate.py:269] - 未找到 BRKB 的历史数据 +2024-10-03 21:28:02,030 INFO [stat_yield_rate.py:265] - 开始处理 BRO (Brown & Brown Inc) 的数据 +2024-10-03 21:28:04,456 INFO [stat_yield_rate.py:275] - 完成 BRO 的处理 +2024-10-03 21:28:04,456 INFO [stat_yield_rate.py:265] - 开始处理 BSX (Boston Scientific Corp) 的数据 +2024-10-03 21:28:06,882 INFO [stat_yield_rate.py:275] - 完成 BSX 的处理 +2024-10-03 21:28:06,882 INFO [stat_yield_rate.py:265] - 开始处理 BWA (Borgwarner Inc) 的数据 +2024-10-03 21:28:10,752 INFO [stat_yield_rate.py:275] - 完成 BWA 的处理 +2024-10-03 21:28:10,752 INFO [stat_yield_rate.py:265] - 开始处理 BX (Blackstone Inc) 的数据 +2024-10-03 21:28:13,746 INFO [stat_yield_rate.py:275] - 完成 BX 的处理 +2024-10-03 21:28:13,747 INFO [stat_yield_rate.py:265] - 开始处理 BXP (Boston Properties Reit Inc) 的数据 +2024-10-03 21:28:16,449 INFO [stat_yield_rate.py:275] - 完成 BXP 的处理 +2024-10-03 21:28:16,449 INFO [stat_yield_rate.py:265] - 开始处理 C (Citigroup Inc) 的数据 +2024-10-03 21:28:19,167 INFO [stat_yield_rate.py:275] - 完成 C 的处理 +2024-10-03 21:28:19,167 INFO [stat_yield_rate.py:265] - 开始处理 CAG (Conagra Brands Inc) 的数据 +2024-10-03 21:28:21,830 INFO [stat_yield_rate.py:275] - 完成 CAG 的处理 +2024-10-03 21:28:21,830 INFO [stat_yield_rate.py:265] - 开始处理 CAH (Cardinal Health Inc) 的数据 +2024-10-03 21:28:25,311 INFO [stat_yield_rate.py:275] - 完成 CAH 的处理 +2024-10-03 21:28:25,311 INFO [stat_yield_rate.py:265] - 开始处理 CARR (Carrier Global Corp) 的数据 +2024-10-03 21:28:25,891 INFO [stat_yield_rate.py:275] - 完成 CARR 的处理 +2024-10-03 21:28:25,891 INFO [stat_yield_rate.py:265] - 开始处理 CAT (Caterpillar Inc) 的数据 +2024-10-03 21:28:28,726 INFO [stat_yield_rate.py:275] - 完成 CAT 的处理 +2024-10-03 21:28:28,726 INFO [stat_yield_rate.py:265] - 开始处理 CB (Chubb Ltd) 的数据 +2024-10-03 21:28:31,249 INFO [stat_yield_rate.py:275] - 完成 CB 的处理 +2024-10-03 21:28:31,249 INFO [stat_yield_rate.py:265] - 开始处理 CBOE (Cboe Global Markets Inc) 的数据 +2024-10-03 21:28:33,837 INFO [stat_yield_rate.py:275] - 完成 CBOE 的处理 +2024-10-03 21:28:33,837 INFO [stat_yield_rate.py:265] - 开始处理 CBRE (Cbre Group Inc Class A) 的数据 +2024-10-03 21:28:36,593 INFO [stat_yield_rate.py:275] - 完成 CBRE 的处理 +2024-10-03 21:28:36,593 INFO [stat_yield_rate.py:265] - 开始处理 CCI (Crown Castle Inc) 的数据 +2024-10-03 21:28:39,080 INFO [stat_yield_rate.py:275] - 完成 CCI 的处理 +2024-10-03 21:28:39,080 INFO [stat_yield_rate.py:265] - 开始处理 CCL (Carnival Corp) 的数据 +2024-10-03 21:28:41,962 INFO [stat_yield_rate.py:275] - 完成 CCL 的处理 +2024-10-03 21:28:41,962 INFO [stat_yield_rate.py:265] - 开始处理 CDAY (Ceridian Hcm Holding Inc) 的数据 +2024-10-03 21:28:42,369 WARNING [stat_yield_rate.py:269] - 未找到 CDAY 的历史数据 +2024-10-03 21:28:42,369 INFO [stat_yield_rate.py:265] - 开始处理 CDNS (Cadence Design Systems Inc) 的数据 +2024-10-03 21:28:44,749 INFO [stat_yield_rate.py:275] - 完成 CDNS 的处理 +2024-10-03 21:28:44,750 INFO [stat_yield_rate.py:265] - 开始处理 CDW (Cdw Corp) 的数据 +2024-10-03 21:28:47,221 INFO [stat_yield_rate.py:275] - 完成 CDW 的处理 +2024-10-03 21:28:47,222 INFO [stat_yield_rate.py:265] - 开始处理 CE (Celanese Corp) 的数据 +2024-10-03 21:28:49,740 INFO [stat_yield_rate.py:275] - 完成 CE 的处理 +2024-10-03 21:28:49,740 INFO [stat_yield_rate.py:265] - 开始处理 CEG (Constellation Energy Corp) 的数据 +2024-10-03 21:28:50,235 INFO [stat_yield_rate.py:275] - 完成 CEG 的处理 +2024-10-03 21:28:50,235 INFO [stat_yield_rate.py:265] - 开始处理 CF (Cf Industries Holdings Inc) 的数据 +2024-10-03 21:28:53,704 INFO [stat_yield_rate.py:275] - 完成 CF 的处理 +2024-10-03 21:28:53,704 INFO [stat_yield_rate.py:265] - 开始处理 CFG (Citizens Financial Group Inc) 的数据 +2024-10-03 21:28:56,488 INFO [stat_yield_rate.py:275] - 完成 CFG 的处理 +2024-10-03 21:28:56,488 INFO [stat_yield_rate.py:265] - 开始处理 CHD (Church And Dwight Inc) 的数据 +2024-10-03 21:28:58,933 INFO [stat_yield_rate.py:275] - 完成 CHD 的处理 +2024-10-03 21:28:58,933 INFO [stat_yield_rate.py:265] - 开始处理 CHRW (CH Robinson Worldwide Inc) 的数据 +2024-10-03 21:29:01,525 INFO [stat_yield_rate.py:275] - 完成 CHRW 的处理 +2024-10-03 21:29:01,525 INFO [stat_yield_rate.py:265] - 开始处理 CHTR (Charter Communications Inc Class A) 的数据 +2024-10-03 21:29:04,058 INFO [stat_yield_rate.py:275] - 完成 CHTR 的处理 +2024-10-03 21:29:04,058 INFO [stat_yield_rate.py:265] - 开始处理 CI (Cigna) 的数据 +2024-10-03 21:29:06,704 INFO [stat_yield_rate.py:275] - 完成 CI 的处理 +2024-10-03 21:29:06,705 INFO [stat_yield_rate.py:265] - 开始处理 CINF (Cincinnati Financial Corp) 的数据 +2024-10-03 21:29:09,123 INFO [stat_yield_rate.py:275] - 完成 CINF 的处理 +2024-10-03 21:29:09,124 INFO [stat_yield_rate.py:265] - 开始处理 CL (Colgate-Palmolive) 的数据 +2024-10-03 21:29:11,643 INFO [stat_yield_rate.py:275] - 完成 CL 的处理 +2024-10-03 21:29:11,643 INFO [stat_yield_rate.py:265] - 开始处理 CLX (Clorox) 的数据 +2024-10-03 21:29:14,118 INFO [stat_yield_rate.py:275] - 完成 CLX 的处理 +2024-10-03 21:29:14,118 INFO [stat_yield_rate.py:265] - 开始处理 CMCSA (Comcast Corp Class A) 的数据 +2024-10-03 21:29:16,570 INFO [stat_yield_rate.py:275] - 完成 CMCSA 的处理 +2024-10-03 21:29:16,570 INFO [stat_yield_rate.py:265] - 开始处理 CME (Cme Group Inc Class A) 的数据 +2024-10-03 21:29:18,989 INFO [stat_yield_rate.py:275] - 完成 CME 的处理 +2024-10-03 21:29:18,989 INFO [stat_yield_rate.py:265] - 开始处理 CMG (Chipotle Mexican Grill Inc) 的数据 +2024-10-03 21:29:22,492 INFO [stat_yield_rate.py:275] - 完成 CMG 的处理 +2024-10-03 21:29:22,492 INFO [stat_yield_rate.py:265] - 开始处理 CMI (Cummins Inc) 的数据 +2024-10-03 21:29:25,348 INFO [stat_yield_rate.py:275] - 完成 CMI 的处理 +2024-10-03 21:29:25,348 INFO [stat_yield_rate.py:265] - 开始处理 CMS (Cms Energy Corp) 的数据 +2024-10-03 21:29:27,827 INFO [stat_yield_rate.py:275] - 完成 CMS 的处理 +2024-10-03 21:29:27,827 INFO [stat_yield_rate.py:265] - 开始处理 CNC (Centene Corp) 的数据 +2024-10-03 21:29:30,346 INFO [stat_yield_rate.py:275] - 完成 CNC 的处理 +2024-10-03 21:29:30,347 INFO [stat_yield_rate.py:265] - 开始处理 CNP (Centerpoint Energy Inc) 的数据 +2024-10-03 21:29:33,101 INFO [stat_yield_rate.py:275] - 完成 CNP 的处理 +2024-10-03 21:29:33,101 INFO [stat_yield_rate.py:265] - 开始处理 COF (Capital One Financial Corp) 的数据 +2024-10-03 21:29:35,745 INFO [stat_yield_rate.py:275] - 完成 COF 的处理 +2024-10-03 21:29:35,745 INFO [stat_yield_rate.py:265] - 开始处理 COO (Cooper Inc) 的数据 +2024-10-03 21:29:38,374 INFO [stat_yield_rate.py:275] - 完成 COO 的处理 +2024-10-03 21:29:38,374 INFO [stat_yield_rate.py:265] - 开始处理 COP (Conocophillips) 的数据 +2024-10-03 21:29:42,133 INFO [stat_yield_rate.py:275] - 完成 COP 的处理 +2024-10-03 21:29:42,134 INFO [stat_yield_rate.py:265] - 开始处理 COR (Cencora Inc) 的数据 +2024-10-03 21:29:45,241 INFO [stat_yield_rate.py:275] - 完成 COR 的处理 +2024-10-03 21:29:45,241 INFO [stat_yield_rate.py:265] - 开始处理 COST (Costco Wholesale Corp) 的数据 +2024-10-03 21:29:47,692 INFO [stat_yield_rate.py:275] - 完成 COST 的处理 +2024-10-03 21:29:47,692 INFO [stat_yield_rate.py:265] - 开始处理 CPB (Campbell Soup) 的数据 +2024-10-03 21:29:50,886 INFO [stat_yield_rate.py:275] - 完成 CPB 的处理 +2024-10-03 21:29:50,886 INFO [stat_yield_rate.py:265] - 开始处理 CPRT (Copart Inc) 的数据 +2024-10-03 21:29:53,360 INFO [stat_yield_rate.py:275] - 完成 CPRT 的处理 +2024-10-03 21:29:53,360 INFO [stat_yield_rate.py:265] - 开始处理 CPT (Camden Property Trust Reit) 的数据 +2024-10-03 21:29:55,806 INFO [stat_yield_rate.py:275] - 完成 CPT 的处理 +2024-10-03 21:29:55,806 INFO [stat_yield_rate.py:265] - 开始处理 CRL (Charles River Laboratories International) 的数据 +2024-10-03 21:29:58,332 INFO [stat_yield_rate.py:275] - 完成 CRL 的处理 +2024-10-03 21:29:58,332 INFO [stat_yield_rate.py:265] - 开始处理 CRM (Salesforce Inc) 的数据 +2024-10-03 21:30:00,816 INFO [stat_yield_rate.py:275] - 完成 CRM 的处理 +2024-10-03 21:30:00,817 INFO [stat_yield_rate.py:265] - 开始处理 CRWD (CrowdStrike Holdings Inc) 的数据 +2024-10-03 21:30:01,452 INFO [stat_yield_rate.py:275] - 完成 CRWD 的处理 +2024-10-03 21:30:01,452 INFO [stat_yield_rate.py:265] - 开始处理 CSCO (Cisco Systems Inc) 的数据 +2024-10-03 21:30:03,897 INFO [stat_yield_rate.py:275] - 完成 CSCO 的处理 +2024-10-03 21:30:03,897 INFO [stat_yield_rate.py:265] - 开始处理 CSGP (Costar Group Inc) 的数据 +2024-10-03 21:30:06,371 INFO [stat_yield_rate.py:275] - 完成 CSGP 的处理 +2024-10-03 21:30:06,371 INFO [stat_yield_rate.py:265] - 开始处理 CSX (CSX Corp) 的数据 +2024-10-03 21:30:09,184 INFO [stat_yield_rate.py:275] - 完成 CSX 的处理 +2024-10-03 21:30:09,184 INFO [stat_yield_rate.py:265] - 开始处理 CTAS (Cintas Corp) 的数据 +2024-10-03 21:30:11,557 INFO [stat_yield_rate.py:275] - 完成 CTAS 的处理 +2024-10-03 21:30:11,557 INFO [stat_yield_rate.py:265] - 开始处理 CTLT (Catalent Inc) 的数据 +2024-10-03 21:30:14,235 INFO [stat_yield_rate.py:275] - 完成 CTLT 的处理 +2024-10-03 21:30:14,235 INFO [stat_yield_rate.py:265] - 开始处理 CTRA (Coterra Energy Inc) 的数据 +2024-10-03 21:30:18,446 INFO [stat_yield_rate.py:275] - 完成 CTRA 的处理 +2024-10-03 21:30:18,446 INFO [stat_yield_rate.py:265] - 开始处理 CTSH (Cognizant Technology Solutions Cor) 的数据 +2024-10-03 21:30:21,113 INFO [stat_yield_rate.py:275] - 完成 CTSH 的处理 +2024-10-03 21:30:21,113 INFO [stat_yield_rate.py:265] - 开始处理 CTVA (Corteva Inc) 的数据 +2024-10-03 21:30:21,760 INFO [stat_yield_rate.py:275] - 完成 CTVA 的处理 +2024-10-03 21:30:21,760 INFO [stat_yield_rate.py:265] - 开始处理 CVS (Cvs Health Corp) 的数据 +2024-10-03 21:30:25,550 INFO [stat_yield_rate.py:275] - 完成 CVS 的处理 +2024-10-03 21:30:25,550 INFO [stat_yield_rate.py:265] - 开始处理 CVX (Chevron Corp) 的数据 +2024-10-03 21:30:28,332 INFO [stat_yield_rate.py:275] - 完成 CVX 的处理 +2024-10-03 21:30:28,332 INFO [stat_yield_rate.py:265] - 开始处理 CZR (Caesars Entertainment Inc) 的数据 +2024-10-03 21:30:30,737 INFO [stat_yield_rate.py:275] - 完成 CZR 的处理 +2024-10-03 21:30:30,737 INFO [stat_yield_rate.py:265] - 开始处理 D (Dominion Energy Inc) 的数据 +2024-10-03 21:30:33,289 INFO [stat_yield_rate.py:275] - 完成 D 的处理 +2024-10-03 21:30:33,290 INFO [stat_yield_rate.py:265] - 开始处理 DAL (Delta Air Lines Inc) 的数据 +2024-10-03 21:30:35,781 INFO [stat_yield_rate.py:275] - 完成 DAL 的处理 +2024-10-03 21:30:35,781 INFO [stat_yield_rate.py:265] - 开始处理 DD (Dupont De Nemours Inc) 的数据 +2024-10-03 21:30:38,581 INFO [stat_yield_rate.py:275] - 完成 DD 的处理 +2024-10-03 21:30:38,581 INFO [stat_yield_rate.py:265] - 开始处理 DE (Deere) 的数据 +2024-10-03 21:30:41,096 INFO [stat_yield_rate.py:275] - 完成 DE 的处理 +2024-10-03 21:30:41,096 INFO [stat_yield_rate.py:265] - 开始处理 DECK (Deckers Outdoor Corp) 的数据 +2024-10-03 21:30:44,355 INFO [stat_yield_rate.py:275] - 完成 DECK 的处理 +2024-10-03 21:30:44,355 INFO [stat_yield_rate.py:265] - 开始处理 DELL (Dell Technologies Inc) 的数据 +2024-10-03 21:30:45,737 INFO [stat_yield_rate.py:275] - 完成 DELL 的处理 +2024-10-03 21:30:45,737 INFO [stat_yield_rate.py:265] - 开始处理 DFS (Discover Financial Services) 的数据 +2024-10-03 21:30:48,443 INFO [stat_yield_rate.py:275] - 完成 DFS 的处理 +2024-10-03 21:30:48,443 INFO [stat_yield_rate.py:265] - 开始处理 DG (Dollar General Corp) 的数据 +2024-10-03 21:30:51,011 INFO [stat_yield_rate.py:275] - 完成 DG 的处理 +2024-10-03 21:30:51,011 INFO [stat_yield_rate.py:265] - 开始处理 DGX (Quest Diagnostics Inc) 的数据 +2024-10-03 21:30:53,541 INFO [stat_yield_rate.py:275] - 完成 DGX 的处理 +2024-10-03 21:30:53,542 INFO [stat_yield_rate.py:265] - 开始处理 DHI (D R Horton Inc) 的数据 +2024-10-03 21:30:56,035 INFO [stat_yield_rate.py:275] - 完成 DHI 的处理 +2024-10-03 21:30:56,036 INFO [stat_yield_rate.py:265] - 开始处理 DHR (Danaher Corp) 的数据 +2024-10-03 21:30:58,488 INFO [stat_yield_rate.py:275] - 完成 DHR 的处理 +2024-10-03 21:30:58,488 INFO [stat_yield_rate.py:265] - 开始处理 DIS (Walt Disney) 的数据 +2024-10-03 21:31:01,185 INFO [stat_yield_rate.py:275] - 完成 DIS 的处理 +2024-10-03 21:31:01,185 INFO [stat_yield_rate.py:265] - 开始处理 DLR (Digital Realty Trust Reit Inc) 的数据 +2024-10-03 21:31:03,640 INFO [stat_yield_rate.py:275] - 完成 DLR 的处理 +2024-10-03 21:31:03,640 INFO [stat_yield_rate.py:265] - 开始处理 DLTR (Dollar Tree Inc) 的数据 +2024-10-03 21:31:06,306 INFO [stat_yield_rate.py:275] - 完成 DLTR 的处理 +2024-10-03 21:31:06,306 INFO [stat_yield_rate.py:265] - 开始处理 DOV (Dover Corp) 的数据 +2024-10-03 21:31:08,950 INFO [stat_yield_rate.py:275] - 完成 DOV 的处理 +2024-10-03 21:31:08,950 INFO [stat_yield_rate.py:265] - 开始处理 DOW (Dow Inc) 的数据 +2024-10-03 21:31:09,621 INFO [stat_yield_rate.py:275] - 完成 DOW 的处理 +2024-10-03 21:31:09,621 INFO [stat_yield_rate.py:265] - 开始处理 DPZ (Dominos Pizza Inc) 的数据 +2024-10-03 21:31:11,996 INFO [stat_yield_rate.py:275] - 完成 DPZ 的处理 +2024-10-03 21:31:11,996 INFO [stat_yield_rate.py:265] - 开始处理 DRI (Darden Restaurants Inc) 的数据 +2024-10-03 21:31:14,417 INFO [stat_yield_rate.py:275] - 完成 DRI 的处理 +2024-10-03 21:31:14,418 INFO [stat_yield_rate.py:265] - 开始处理 DTE (Dte Energy) 的数据 +2024-10-03 21:31:16,867 INFO [stat_yield_rate.py:275] - 完成 DTE 的处理 +2024-10-03 21:31:16,867 INFO [stat_yield_rate.py:265] - 开始处理 DUK (Duke Energy Corp) 的数据 +2024-10-03 21:31:19,496 INFO [stat_yield_rate.py:275] - 完成 DUK 的处理 +2024-10-03 21:31:19,496 INFO [stat_yield_rate.py:265] - 开始处理 DVA (Davita Inc) 的数据 +2024-10-03 21:31:22,839 INFO [stat_yield_rate.py:275] - 完成 DVA 的处理 +2024-10-03 21:31:22,840 INFO [stat_yield_rate.py:265] - 开始处理 DVN (Devon Energy Corp) 的数据 +2024-10-03 21:31:27,757 INFO [stat_yield_rate.py:275] - 完成 DVN 的处理 +2024-10-03 21:31:27,757 INFO [stat_yield_rate.py:265] - 开始处理 DXCM (Dexcom Inc) 的数据 +2024-10-03 21:31:30,488 INFO [stat_yield_rate.py:275] - 完成 DXCM 的处理 +2024-10-03 21:31:30,489 INFO [stat_yield_rate.py:265] - 开始处理 EA (Electronic Arts Inc) 的数据 +2024-10-03 21:31:33,031 INFO [stat_yield_rate.py:275] - 完成 EA 的处理 +2024-10-03 21:31:33,031 INFO [stat_yield_rate.py:265] - 开始处理 EBAY (Ebay Inc) 的数据 +2024-10-03 21:31:35,589 INFO [stat_yield_rate.py:275] - 完成 EBAY 的处理 +2024-10-03 21:31:35,589 INFO [stat_yield_rate.py:265] - 开始处理 ECL (Ecolab Inc) 的数据 +2024-10-03 21:31:38,053 INFO [stat_yield_rate.py:275] - 完成 ECL 的处理 +2024-10-03 21:31:38,053 INFO [stat_yield_rate.py:265] - 开始处理 ED (Consolidated Edison Inc) 的数据 +2024-10-03 21:31:40,511 INFO [stat_yield_rate.py:275] - 完成 ED 的处理 +2024-10-03 21:31:40,511 INFO [stat_yield_rate.py:265] - 开始处理 EFX (Equifax Inc) 的数据 +2024-10-03 21:31:42,979 INFO [stat_yield_rate.py:275] - 完成 EFX 的处理 +2024-10-03 21:31:42,979 INFO [stat_yield_rate.py:265] - 开始处理 EG (Everest Group Ltd) 的数据 +2024-10-03 21:31:45,464 INFO [stat_yield_rate.py:275] - 完成 EG 的处理 +2024-10-03 21:31:45,464 INFO [stat_yield_rate.py:265] - 开始处理 EIX (Edison International) 的数据 +2024-10-03 21:31:48,065 INFO [stat_yield_rate.py:275] - 完成 EIX 的处理 +2024-10-03 21:31:48,065 INFO [stat_yield_rate.py:265] - 开始处理 EL (Estee Lauder Inc Class A) 的数据 +2024-10-03 21:31:50,558 INFO [stat_yield_rate.py:275] - 完成 EL 的处理 +2024-10-03 21:31:50,558 INFO [stat_yield_rate.py:265] - 开始处理 ELV (Elevance Health Inc) 的数据 +2024-10-03 21:31:53,272 INFO [stat_yield_rate.py:275] - 完成 ELV 的处理 +2024-10-03 21:31:53,272 INFO [stat_yield_rate.py:265] - 开始处理 EMN (Eastman Chemical) 的数据 +2024-10-03 21:31:56,018 INFO [stat_yield_rate.py:275] - 完成 EMN 的处理 +2024-10-03 21:31:56,018 INFO [stat_yield_rate.py:265] - 开始处理 EMR (Emerson Electric) 的数据 +2024-10-03 21:31:58,848 INFO [stat_yield_rate.py:275] - 完成 EMR 的处理 +2024-10-03 21:31:58,848 INFO [stat_yield_rate.py:265] - 开始处理 ENPH (Enphase Energy Inc) 的数据 +2024-10-03 21:32:03,338 INFO [stat_yield_rate.py:275] - 完成 ENPH 的处理 +2024-10-03 21:32:03,338 INFO [stat_yield_rate.py:265] - 开始处理 EOG (Eog Resources Inc) 的数据 +2024-10-03 21:32:06,147 INFO [stat_yield_rate.py:275] - 完成 EOG 的处理 +2024-10-03 21:32:06,147 INFO [stat_yield_rate.py:265] - 开始处理 EPAM (Epam Systems Inc) 的数据 +2024-10-03 21:32:08,692 INFO [stat_yield_rate.py:275] - 完成 EPAM 的处理 +2024-10-03 21:32:08,692 INFO [stat_yield_rate.py:265] - 开始处理 EQIX (Equinix Reit Inc) 的数据 +2024-10-03 21:32:11,153 INFO [stat_yield_rate.py:275] - 完成 EQIX 的处理 +2024-10-03 21:32:11,154 INFO [stat_yield_rate.py:265] - 开始处理 EQR (Equity Residential Reit) 的数据 +2024-10-03 21:32:13,700 INFO [stat_yield_rate.py:275] - 完成 EQR 的处理 +2024-10-03 21:32:13,701 INFO [stat_yield_rate.py:265] - 开始处理 EQT (Eqt Corp) 的数据 +2024-10-03 21:32:19,122 INFO [stat_yield_rate.py:275] - 完成 EQT 的处理 +2024-10-03 21:32:19,122 INFO [stat_yield_rate.py:265] - 开始处理 ERIE (Erie Indemnity Co) 的数据 +2024-10-03 21:32:21,609 INFO [stat_yield_rate.py:275] - 完成 ERIE 的处理 +2024-10-03 21:32:21,609 INFO [stat_yield_rate.py:265] - 开始处理 ES (Eversource Energy) 的数据 +2024-10-03 21:32:24,107 INFO [stat_yield_rate.py:275] - 完成 ES 的处理 +2024-10-03 21:32:24,107 INFO [stat_yield_rate.py:265] - 开始处理 ESS (Essex Property Trust Reit Inc) 的数据 +2024-10-03 21:32:26,574 INFO [stat_yield_rate.py:275] - 完成 ESS 的处理 +2024-10-03 21:32:26,574 INFO [stat_yield_rate.py:265] - 开始处理 ETN (Eaton Plc) 的数据 +2024-10-03 21:32:29,285 INFO [stat_yield_rate.py:275] - 完成 ETN 的处理 +2024-10-03 21:32:29,286 INFO [stat_yield_rate.py:265] - 开始处理 ETR (Entergy Corp) 的数据 +2024-10-03 21:32:31,967 INFO [stat_yield_rate.py:275] - 完成 ETR 的处理 +2024-10-03 21:32:31,968 INFO [stat_yield_rate.py:265] - 开始处理 EVRG (Evergy Inc) 的数据 +2024-10-03 21:32:34,470 INFO [stat_yield_rate.py:275] - 完成 EVRG 的处理 +2024-10-03 21:32:34,470 INFO [stat_yield_rate.py:265] - 开始处理 EW (Edwards Lifesciences Corp) 的数据 +2024-10-03 21:32:36,917 INFO [stat_yield_rate.py:275] - 完成 EW 的处理 +2024-10-03 21:32:36,917 INFO [stat_yield_rate.py:265] - 开始处理 EXC (Exelon Corp) 的数据 +2024-10-03 21:32:39,458 INFO [stat_yield_rate.py:275] - 完成 EXC 的处理 +2024-10-03 21:32:39,458 INFO [stat_yield_rate.py:265] - 开始处理 EXPD (Expeditors International Of Washin) 的数据 +2024-10-03 21:32:41,857 INFO [stat_yield_rate.py:275] - 完成 EXPD 的处理 +2024-10-03 21:32:41,857 INFO [stat_yield_rate.py:265] - 开始处理 EXPE (Expedia Group Inc) 的数据 +2024-10-03 21:32:44,461 INFO [stat_yield_rate.py:275] - 完成 EXPE 的处理 +2024-10-03 21:32:44,461 INFO [stat_yield_rate.py:265] - 开始处理 EXR (Extra Space Storage Reit Inc) 的数据 +2024-10-03 21:32:46,987 INFO [stat_yield_rate.py:275] - 完成 EXR 的处理 +2024-10-03 21:32:46,987 INFO [stat_yield_rate.py:265] - 开始处理 F (Ford Motor Co) 的数据 +2024-10-03 21:32:50,104 INFO [stat_yield_rate.py:275] - 完成 F 的处理 +2024-10-03 21:32:50,104 INFO [stat_yield_rate.py:265] - 开始处理 FANG (Diamondback Energy Inc) 的数据 +2024-10-03 21:32:52,651 INFO [stat_yield_rate.py:275] - 完成 FANG 的处理 +2024-10-03 21:32:52,652 INFO [stat_yield_rate.py:265] - 开始处理 FAST (Fastenal) 的数据 +2024-10-03 21:32:55,295 INFO [stat_yield_rate.py:275] - 完成 FAST 的处理 +2024-10-03 21:32:55,295 INFO [stat_yield_rate.py:265] - 开始处理 FCX (Freeport Mcmoran Inc) 的数据 +2024-10-03 21:32:59,887 INFO [stat_yield_rate.py:275] - 完成 FCX 的处理 +2024-10-03 21:32:59,888 INFO [stat_yield_rate.py:265] - 开始处理 FDS (Factset Research Systems Inc) 的数据 +2024-10-03 21:33:02,387 INFO [stat_yield_rate.py:275] - 完成 FDS 的处理 +2024-10-03 21:33:02,387 INFO [stat_yield_rate.py:265] - 开始处理 FDX (Fedex Corp) 的数据 +2024-10-03 21:33:05,169 INFO [stat_yield_rate.py:275] - 完成 FDX 的处理 +2024-10-03 21:33:05,169 INFO [stat_yield_rate.py:265] - 开始处理 FE (Firstenergy Corp) 的数据 +2024-10-03 21:33:07,782 INFO [stat_yield_rate.py:275] - 完成 FE 的处理 +2024-10-03 21:33:07,782 INFO [stat_yield_rate.py:265] - 开始处理 FFIV (F5 Inc) 的数据 +2024-10-03 21:33:10,446 INFO [stat_yield_rate.py:275] - 完成 FFIV 的处理 +2024-10-03 21:33:10,446 INFO [stat_yield_rate.py:265] - 开始处理 FI (Fiserv Inc) 的数据 +2024-10-03 21:33:12,836 INFO [stat_yield_rate.py:275] - 完成 FI 的处理 +2024-10-03 21:33:12,836 INFO [stat_yield_rate.py:265] - 开始处理 FICO (Fair Isaac Corp) 的数据 +2024-10-03 21:33:15,233 INFO [stat_yield_rate.py:275] - 完成 FICO 的处理 +2024-10-03 21:33:15,233 INFO [stat_yield_rate.py:265] - 开始处理 FIS (Fidelity National Information Serv) 的数据 +2024-10-03 21:33:17,678 INFO [stat_yield_rate.py:275] - 完成 FIS 的处理 +2024-10-03 21:33:17,678 INFO [stat_yield_rate.py:265] - 开始处理 FITB (Fifth Third Bancorp) 的数据 +2024-10-03 21:33:20,227 INFO [stat_yield_rate.py:275] - 完成 FITB 的处理 +2024-10-03 21:33:20,227 INFO [stat_yield_rate.py:265] - 开始处理 FLT (Fleetcor Technologies Inc) 的数据 +2024-10-03 21:33:20,634 WARNING [stat_yield_rate.py:269] - 未找到 FLT 的历史数据 +2024-10-03 21:33:20,634 INFO [stat_yield_rate.py:265] - 开始处理 FMC (FMC Corp) 的数据 +2024-10-03 21:33:23,596 INFO [stat_yield_rate.py:275] - 完成 FMC 的处理 +2024-10-03 21:33:23,597 INFO [stat_yield_rate.py:265] - 开始处理 FOX (Fox Corp Class B) 的数据 +2024-10-03 21:33:24,273 INFO [stat_yield_rate.py:275] - 完成 FOX 的处理 +2024-10-03 21:33:24,273 INFO [stat_yield_rate.py:265] - 开始处理 FOXA (Fox Corp Class A) 的数据 +2024-10-03 21:33:24,900 INFO [stat_yield_rate.py:275] - 完成 FOXA 的处理 +2024-10-03 21:33:24,900 INFO [stat_yield_rate.py:265] - 开始处理 FRT (Federal Realty Investment Trust Re) 的数据 +2024-10-03 21:33:27,958 INFO [stat_yield_rate.py:275] - 完成 FRT 的处理 +2024-10-03 21:33:27,958 INFO [stat_yield_rate.py:265] - 开始处理 FSLR (First Solar Inc) 的数据 +2024-10-03 21:33:30,857 INFO [stat_yield_rate.py:275] - 完成 FSLR 的处理 +2024-10-03 21:33:30,857 INFO [stat_yield_rate.py:265] - 开始处理 FTNT (Fortinet Inc) 的数据 +2024-10-03 21:33:33,544 INFO [stat_yield_rate.py:275] - 完成 FTNT 的处理 +2024-10-03 21:33:33,544 INFO [stat_yield_rate.py:265] - 开始处理 FTV (Fortive Corp) 的数据 +2024-10-03 21:33:35,028 INFO [stat_yield_rate.py:275] - 完成 FTV 的处理 +2024-10-03 21:33:35,029 INFO [stat_yield_rate.py:265] - 开始处理 GD (General Dynamics Corp) 的数据 +2024-10-03 21:33:37,559 INFO [stat_yield_rate.py:275] - 完成 GD 的处理 +2024-10-03 21:33:37,559 INFO [stat_yield_rate.py:265] - 开始处理 GDDY (GoDaddy Inc) 的数据 +2024-10-03 21:33:39,734 INFO [stat_yield_rate.py:275] - 完成 GDDY 的处理 +2024-10-03 21:33:39,734 INFO [stat_yield_rate.py:265] - 开始处理 GE (General Electric) 的数据 +2024-10-03 21:33:44,184 INFO [stat_yield_rate.py:275] - 完成 GE 的处理 +2024-10-03 21:33:44,184 INFO [stat_yield_rate.py:265] - 开始处理 GEHC (Ge Healthcare Technologies Inc) 的数据 +2024-10-03 21:33:44,654 INFO [stat_yield_rate.py:275] - 完成 GEHC 的处理 +2024-10-03 21:33:44,654 INFO [stat_yield_rate.py:265] - 开始处理 GEN (Gen Digital Inc) 的数据 +2024-10-03 21:33:47,341 INFO [stat_yield_rate.py:275] - 完成 GEN 的处理 +2024-10-03 21:33:47,341 INFO [stat_yield_rate.py:265] - 开始处理 GEV (GE Vernova Inc) 的数据 +2024-10-03 21:33:47,797 INFO [stat_yield_rate.py:275] - 完成 GEV 的处理 +2024-10-03 21:33:47,798 INFO [stat_yield_rate.py:265] - 开始处理 GILD (Gilead Sciences Inc) 的数据 +2024-10-03 21:33:52,197 INFO [stat_yield_rate.py:275] - 完成 GILD 的处理 +2024-10-03 21:33:52,197 INFO [stat_yield_rate.py:265] - 开始处理 GIS (General Mills Inc) 的数据 +2024-10-03 21:33:55,243 INFO [stat_yield_rate.py:275] - 完成 GIS 的处理 +2024-10-03 21:33:55,243 INFO [stat_yield_rate.py:265] - 开始处理 GL (Globe Life Inc) 的数据 +2024-10-03 21:33:57,762 INFO [stat_yield_rate.py:275] - 完成 GL 的处理 +2024-10-03 21:33:57,762 INFO [stat_yield_rate.py:265] - 开始处理 GLW (Corning Inc) 的数据 +2024-10-03 21:34:00,479 INFO [stat_yield_rate.py:275] - 完成 GLW 的处理 +2024-10-03 21:34:00,479 INFO [stat_yield_rate.py:265] - 开始处理 GM (General Motors) 的数据 +2024-10-03 21:34:03,209 INFO [stat_yield_rate.py:275] - 完成 GM 的处理 +2024-10-03 21:34:03,209 INFO [stat_yield_rate.py:265] - 开始处理 GNRC (Generac Holdings Inc) 的数据 +2024-10-03 21:34:06,257 INFO [stat_yield_rate.py:275] - 完成 GNRC 的处理 +2024-10-03 21:34:06,258 INFO [stat_yield_rate.py:265] - 开始处理 GOOG (Alphabet Inc Class C) 的数据 +2024-10-03 21:34:08,731 INFO [stat_yield_rate.py:275] - 完成 GOOG 的处理 +2024-10-03 21:34:08,731 INFO [stat_yield_rate.py:265] - 开始处理 GOOGL (Alphabet Inc Class A) 的数据 +2024-10-03 21:34:11,189 INFO [stat_yield_rate.py:275] - 完成 GOOGL 的处理 +2024-10-03 21:34:11,189 INFO [stat_yield_rate.py:265] - 开始处理 GPC (Genuine Parts) 的数据 +2024-10-03 21:34:13,921 INFO [stat_yield_rate.py:275] - 完成 GPC 的处理 +2024-10-03 21:34:13,921 INFO [stat_yield_rate.py:265] - 开始处理 GPN (Global Payments Inc) 的数据 +2024-10-03 21:34:16,341 INFO [stat_yield_rate.py:275] - 完成 GPN 的处理 +2024-10-03 21:34:16,341 INFO [stat_yield_rate.py:265] - 开始处理 GRMN (Garmin Ltd) 的数据 +2024-10-03 21:34:18,972 INFO [stat_yield_rate.py:275] - 完成 GRMN 的处理 +2024-10-03 21:34:18,972 INFO [stat_yield_rate.py:265] - 开始处理 GS (Goldman Sachs Group Inc) 的数据 +2024-10-03 21:34:21,807 INFO [stat_yield_rate.py:275] - 完成 GS 的处理 +2024-10-03 21:34:21,807 INFO [stat_yield_rate.py:265] - 开始处理 GWW (Ww Grainger Inc) 的数据 +2024-10-03 21:34:24,640 INFO [stat_yield_rate.py:275] - 完成 GWW 的处理 +2024-10-03 21:34:24,640 INFO [stat_yield_rate.py:265] - 开始处理 HAL (Halliburton) 的数据 +2024-10-03 21:34:28,309 INFO [stat_yield_rate.py:275] - 完成 HAL 的处理 +2024-10-03 21:34:28,309 INFO [stat_yield_rate.py:265] - 开始处理 HAS (Hasbro Inc) 的数据 +2024-10-03 21:34:30,804 INFO [stat_yield_rate.py:275] - 完成 HAS 的处理 +2024-10-03 21:34:30,804 INFO [stat_yield_rate.py:265] - 开始处理 HBAN (Huntington Bancshares Inc) 的数据 +2024-10-03 21:34:33,376 INFO [stat_yield_rate.py:275] - 完成 HBAN 的处理 +2024-10-03 21:34:33,376 INFO [stat_yield_rate.py:265] - 开始处理 HCA (Hca Healthcare Inc) 的数据 +2024-10-03 21:34:36,198 INFO [stat_yield_rate.py:275] - 完成 HCA 的处理 +2024-10-03 21:34:36,198 INFO [stat_yield_rate.py:265] - 开始处理 HD (Home Depot Inc) 的数据 +2024-10-03 21:34:38,638 INFO [stat_yield_rate.py:275] - 完成 HD 的处理 +2024-10-03 21:34:38,639 INFO [stat_yield_rate.py:265] - 开始处理 HES (Hess Corp) 的数据 +2024-10-03 21:34:42,506 INFO [stat_yield_rate.py:275] - 完成 HES 的处理 +2024-10-03 21:34:42,506 INFO [stat_yield_rate.py:265] - 开始处理 HIG (Hartford Financial Services Group) 的数据 +2024-10-03 21:34:45,039 INFO [stat_yield_rate.py:275] - 完成 HIG 的处理 +2024-10-03 21:34:45,039 INFO [stat_yield_rate.py:265] - 开始处理 HII (Huntington Ingalls Industries Inc) 的数据 +2024-10-03 21:34:47,616 INFO [stat_yield_rate.py:275] - 完成 HII 的处理 +2024-10-03 21:34:47,616 INFO [stat_yield_rate.py:265] - 开始处理 HLT (Hilton Worldwide Holdings Inc) 的数据 +2024-10-03 21:34:50,581 INFO [stat_yield_rate.py:275] - 完成 HLT 的处理 +2024-10-03 21:34:50,581 INFO [stat_yield_rate.py:265] - 开始处理 HOLX (Hologic Inc) 的数据 +2024-10-03 21:34:53,166 INFO [stat_yield_rate.py:275] - 完成 HOLX 的处理 +2024-10-03 21:34:53,166 INFO [stat_yield_rate.py:265] - 开始处理 HON (Honeywell International Inc) 的数据 +2024-10-03 21:34:55,562 INFO [stat_yield_rate.py:275] - 完成 HON 的处理 +2024-10-03 21:34:55,563 INFO [stat_yield_rate.py:265] - 开始处理 HPE (Hewlett Packard Enterprise) 的数据 +2024-10-03 21:34:57,724 INFO [stat_yield_rate.py:275] - 完成 HPE 的处理 +2024-10-03 21:34:57,724 INFO [stat_yield_rate.py:265] - 开始处理 HPQ (Hp Inc) 的数据 +2024-10-03 21:35:00,432 INFO [stat_yield_rate.py:275] - 完成 HPQ 的处理 +2024-10-03 21:35:00,433 INFO [stat_yield_rate.py:265] - 开始处理 HRL (Hormel Foods Corp) 的数据 +2024-10-03 21:35:03,230 INFO [stat_yield_rate.py:275] - 完成 HRL 的处理 +2024-10-03 21:35:03,230 INFO [stat_yield_rate.py:265] - 开始处理 HSIC (Henry Schein Inc) 的数据 +2024-10-03 21:35:05,763 INFO [stat_yield_rate.py:275] - 完成 HSIC 的处理 +2024-10-03 21:35:05,763 INFO [stat_yield_rate.py:265] - 开始处理 HST (Host Hotels & Resorts Reit Inc) 的数据 +2024-10-03 21:35:08,779 INFO [stat_yield_rate.py:275] - 完成 HST 的处理 +2024-10-03 21:35:08,779 INFO [stat_yield_rate.py:265] - 开始处理 HSY (Hershey Foods) 的数据 +2024-10-03 21:35:11,495 INFO [stat_yield_rate.py:275] - 完成 HSY 的处理 +2024-10-03 21:35:11,495 INFO [stat_yield_rate.py:265] - 开始处理 HUBB ( +Hubbell Incorporated) 的数据 +2024-10-03 21:35:14,186 INFO [stat_yield_rate.py:275] - 完成 HUBB 的处理 +2024-10-03 21:35:14,187 INFO [stat_yield_rate.py:265] - 开始处理 HUM (Humana Inc) 的数据 +2024-10-03 21:35:16,786 INFO [stat_yield_rate.py:275] - 完成 HUM 的处理 +2024-10-03 21:35:16,786 INFO [stat_yield_rate.py:265] - 开始处理 HWM (Howmet Aerospace Inc) 的数据 +2024-10-03 21:35:18,203 INFO [stat_yield_rate.py:275] - 完成 HWM 的处理 +2024-10-03 21:35:18,204 INFO [stat_yield_rate.py:265] - 开始处理 IBM (International Business Machines Co) 的数据 +2024-10-03 21:35:21,228 INFO [stat_yield_rate.py:275] - 完成 IBM 的处理 +2024-10-03 21:35:21,228 INFO [stat_yield_rate.py:265] - 开始处理 ICE (Intercontinental Exchange Inc) 的数据 +2024-10-03 21:35:23,654 INFO [stat_yield_rate.py:275] - 完成 ICE 的处理 +2024-10-03 21:35:23,655 INFO [stat_yield_rate.py:265] - 开始处理 IDXX (Idexx Laboratories Inc) 的数据 +2024-10-03 21:35:26,164 INFO [stat_yield_rate.py:275] - 完成 IDXX 的处理 +2024-10-03 21:35:26,165 INFO [stat_yield_rate.py:265] - 开始处理 IEX (Idex Corp) 的数据 +2024-10-03 21:35:28,630 INFO [stat_yield_rate.py:275] - 完成 IEX 的处理 +2024-10-03 21:35:28,630 INFO [stat_yield_rate.py:265] - 开始处理 IFF (International Flavors & Fragrances) 的数据 +2024-10-03 21:35:31,192 INFO [stat_yield_rate.py:275] - 完成 IFF 的处理 +2024-10-03 21:35:31,192 INFO [stat_yield_rate.py:265] - 开始处理 INCY (Incyte Corp) 的数据 +2024-10-03 21:35:34,611 INFO [stat_yield_rate.py:275] - 完成 INCY 的处理 +2024-10-03 21:35:34,612 INFO [stat_yield_rate.py:265] - 开始处理 INTC (Intel Corporation Corp) 的数据 +2024-10-03 21:35:37,197 INFO [stat_yield_rate.py:275] - 完成 INTC 的处理 +2024-10-03 21:35:37,197 INFO [stat_yield_rate.py:265] - 开始处理 INTU (Intuit Inc) 的数据 +2024-10-03 21:35:39,606 INFO [stat_yield_rate.py:275] - 完成 INTU 的处理 +2024-10-03 21:35:39,606 INFO [stat_yield_rate.py:265] - 开始处理 INVH (Invitation Homes Inc) 的数据 +2024-10-03 21:35:40,876 INFO [stat_yield_rate.py:275] - 完成 INVH 的处理 +2024-10-03 21:35:40,877 INFO [stat_yield_rate.py:265] - 开始处理 IP (International Paper) 的数据 +2024-10-03 21:35:43,941 INFO [stat_yield_rate.py:275] - 完成 IP 的处理 +2024-10-03 21:35:43,941 INFO [stat_yield_rate.py:265] - 开始处理 IPG (Interpublic Group Of Companies Inc) 的数据 +2024-10-03 21:35:46,408 INFO [stat_yield_rate.py:275] - 完成 IPG 的处理 +2024-10-03 21:35:46,408 INFO [stat_yield_rate.py:265] - 开始处理 IQV (Iqvia Holdings Inc) 的数据 +2024-10-03 21:35:48,881 INFO [stat_yield_rate.py:275] - 完成 IQV 的处理 +2024-10-03 21:35:48,881 INFO [stat_yield_rate.py:265] - 开始处理 IR (Ingersoll Rand Inc) 的数据 +2024-10-03 21:35:50,056 INFO [stat_yield_rate.py:275] - 完成 IR 的处理 +2024-10-03 21:35:50,056 INFO [stat_yield_rate.py:265] - 开始处理 IRM (Iron Mountain Inc) 的数据 +2024-10-03 21:35:52,750 INFO [stat_yield_rate.py:275] - 完成 IRM 的处理 +2024-10-03 21:35:52,750 INFO [stat_yield_rate.py:265] - 开始处理 ISRG (Intuitive Surgical Inc) 的数据 +2024-10-03 21:35:55,197 INFO [stat_yield_rate.py:275] - 完成 ISRG 的处理 +2024-10-03 21:35:55,197 INFO [stat_yield_rate.py:265] - 开始处理 IT (Gartner Inc) 的数据 +2024-10-03 21:35:57,698 INFO [stat_yield_rate.py:275] - 完成 IT 的处理 +2024-10-03 21:35:57,698 INFO [stat_yield_rate.py:265] - 开始处理 ITW (Illinois Tool Inc) 的数据 +2024-10-03 21:36:00,244 INFO [stat_yield_rate.py:275] - 完成 ITW 的处理 +2024-10-03 21:36:00,244 INFO [stat_yield_rate.py:265] - 开始处理 IVZ (Invesco Ltd) 的数据 +2024-10-03 21:36:03,811 INFO [stat_yield_rate.py:275] - 完成 IVZ 的处理 +2024-10-03 21:36:03,811 INFO [stat_yield_rate.py:265] - 开始处理 J (Jacobs Solutions Inc) 的数据 +2024-10-03 21:36:06,402 INFO [stat_yield_rate.py:275] - 完成 J 的处理 +2024-10-03 21:36:06,402 INFO [stat_yield_rate.py:265] - 开始处理 JBHT (Jb Hunt Transport Services Inc) 的数据 +2024-10-03 21:36:09,187 INFO [stat_yield_rate.py:275] - 完成 JBHT 的处理 +2024-10-03 21:36:09,187 INFO [stat_yield_rate.py:265] - 开始处理 JBL (Jabil Inc) 的数据 +2024-10-03 21:36:11,796 INFO [stat_yield_rate.py:275] - 完成 JBL 的处理 +2024-10-03 21:36:11,797 INFO [stat_yield_rate.py:265] - 开始处理 JCI (Johnson Controls International Plc) 的数据 +2024-10-03 21:36:14,604 INFO [stat_yield_rate.py:275] - 完成 JCI 的处理 +2024-10-03 21:36:14,604 INFO [stat_yield_rate.py:265] - 开始处理 JKHY (Jack Henry And Associates Inc) 的数据 +2024-10-03 21:36:17,067 INFO [stat_yield_rate.py:275] - 完成 JKHY 的处理 +2024-10-03 21:36:17,067 INFO [stat_yield_rate.py:265] - 开始处理 JNJ (Johnson & Johnson) 的数据 +2024-10-03 21:36:19,659 INFO [stat_yield_rate.py:275] - 完成 JNJ 的处理 +2024-10-03 21:36:19,659 INFO [stat_yield_rate.py:265] - 开始处理 JNPR (Juniper Networks Inc) 的数据 +2024-10-03 21:36:22,388 INFO [stat_yield_rate.py:275] - 完成 JNPR 的处理 +2024-10-03 21:36:22,388 INFO [stat_yield_rate.py:265] - 开始处理 JPM (JPMorgan Chase & Co) 的数据 +2024-10-03 21:36:22,798 WARNING [stat_yield_rate.py:269] - 未找到 JPM 的历史数据 +2024-10-03 21:36:22,799 INFO [stat_yield_rate.py:265] - 开始处理 K (Kellogg) 的数据 +2024-10-03 21:36:25,789 INFO [stat_yield_rate.py:275] - 完成 K 的处理 +2024-10-03 21:36:25,789 INFO [stat_yield_rate.py:265] - 开始处理 KDP (Keurig Dr Pepper Inc) 的数据 +2024-10-03 21:36:28,250 INFO [stat_yield_rate.py:275] - 完成 KDP 的处理 +2024-10-03 21:36:28,251 INFO [stat_yield_rate.py:265] - 开始处理 KEY (Keycorp) 的数据 +2024-10-03 21:36:30,928 INFO [stat_yield_rate.py:275] - 完成 KEY 的处理 +2024-10-03 21:36:30,928 INFO [stat_yield_rate.py:265] - 开始处理 KEYS (Keysight Technologies Inc) 的数据 +2024-10-03 21:36:33,624 INFO [stat_yield_rate.py:275] - 完成 KEYS 的处理 +2024-10-03 21:36:33,624 INFO [stat_yield_rate.py:265] - 开始处理 KHC (Kraft Heinz) 的数据 +2024-10-03 21:36:36,973 INFO [stat_yield_rate.py:275] - 完成 KHC 的处理 +2024-10-03 21:36:36,973 INFO [stat_yield_rate.py:265] - 开始处理 KIM (Kimco Realty Reit Corp) 的数据 +2024-10-03 21:36:40,970 INFO [stat_yield_rate.py:275] - 完成 KIM 的处理 +2024-10-03 21:36:40,970 INFO [stat_yield_rate.py:265] - 开始处理 KKR (KKR & Co Inc) 的数据 +2024-10-03 21:36:43,878 INFO [stat_yield_rate.py:275] - 完成 KKR 的处理 +2024-10-03 21:36:43,879 INFO [stat_yield_rate.py:265] - 开始处理 KLAC (Kla Corp) 的数据 +2024-10-03 21:36:46,369 INFO [stat_yield_rate.py:275] - 完成 KLAC 的处理 +2024-10-03 21:36:46,369 INFO [stat_yield_rate.py:265] - 开始处理 KMB (Kimberly Clark Corp) 的数据 +2024-10-03 21:36:49,099 INFO [stat_yield_rate.py:275] - 完成 KMB 的处理 +2024-10-03 21:36:49,100 INFO [stat_yield_rate.py:265] - 开始处理 KMI (Kinder Morgan Inc) 的数据 +2024-10-03 21:36:55,751 INFO [stat_yield_rate.py:275] - 完成 KMI 的处理 +2024-10-03 21:36:55,751 INFO [stat_yield_rate.py:265] - 开始处理 KMX (Carmax Inc) 的数据 +2024-10-03 21:36:58,631 INFO [stat_yield_rate.py:275] - 完成 KMX 的处理 +2024-10-03 21:36:58,631 INFO [stat_yield_rate.py:265] - 开始处理 KO (Coca-Cola) 的数据 +2024-10-03 21:37:01,170 INFO [stat_yield_rate.py:275] - 完成 KO 的处理 +2024-10-03 21:37:01,170 INFO [stat_yield_rate.py:265] - 开始处理 KR (Kroger) 的数据 +2024-10-03 21:37:04,520 INFO [stat_yield_rate.py:275] - 完成 KR 的处理 +2024-10-03 21:37:04,521 INFO [stat_yield_rate.py:265] - 开始处理 KVUE (Kenvue Inc) 的数据 +2024-10-03 21:37:04,984 INFO [stat_yield_rate.py:275] - 完成 KVUE 的处理 +2024-10-03 21:37:04,984 INFO [stat_yield_rate.py:265] - 开始处理 L (Loews Corp) 的数据 +2024-10-03 21:37:07,846 INFO [stat_yield_rate.py:275] - 完成 L 的处理 +2024-10-03 21:37:07,847 INFO [stat_yield_rate.py:265] - 开始处理 LDOS (Leidos Holdings Inc) 的数据 +2024-10-03 21:37:10,316 INFO [stat_yield_rate.py:275] - 完成 LDOS 的处理 +2024-10-03 21:37:10,316 INFO [stat_yield_rate.py:265] - 开始处理 LEN (Lennar A Corp) 的数据 +2024-10-03 21:37:13,050 INFO [stat_yield_rate.py:275] - 完成 LEN 的处理 +2024-10-03 21:37:13,050 INFO [stat_yield_rate.py:265] - 开始处理 LH (Laboratory Corporation Of America) 的数据 +2024-10-03 21:37:15,605 INFO [stat_yield_rate.py:275] - 完成 LH 的处理 +2024-10-03 21:37:15,605 INFO [stat_yield_rate.py:265] - 开始处理 LHX (L3Harris Technologies Inc) 的数据 +2024-10-03 21:37:18,046 INFO [stat_yield_rate.py:275] - 完成 LHX 的处理 +2024-10-03 21:37:18,046 INFO [stat_yield_rate.py:265] - 开始处理 LIN (Linde Plc) 的数据 +2024-10-03 21:37:20,797 INFO [stat_yield_rate.py:275] - 完成 LIN 的处理 +2024-10-03 21:37:20,797 INFO [stat_yield_rate.py:265] - 开始处理 LKQ (Lkq Corp) 的数据 +2024-10-03 21:37:23,620 INFO [stat_yield_rate.py:275] - 完成 LKQ 的处理 +2024-10-03 21:37:23,620 INFO [stat_yield_rate.py:265] - 开始处理 LLY (Eli Lilly) 的数据 +2024-10-03 21:37:26,212 INFO [stat_yield_rate.py:275] - 完成 LLY 的处理 +2024-10-03 21:37:26,212 INFO [stat_yield_rate.py:265] - 开始处理 LMT (Lockheed Martin Corp) 的数据 +2024-10-03 21:37:28,632 INFO [stat_yield_rate.py:275] - 完成 LMT 的处理 +2024-10-03 21:37:28,633 INFO [stat_yield_rate.py:265] - 开始处理 LNT (Alliant Energy Corp) 的数据 +2024-10-03 21:37:31,140 INFO [stat_yield_rate.py:275] - 完成 LNT 的处理 +2024-10-03 21:37:31,140 INFO [stat_yield_rate.py:265] - 开始处理 LOW (Lowes Companies Inc) 的数据 +2024-10-03 21:37:33,634 INFO [stat_yield_rate.py:275] - 完成 LOW 的处理 +2024-10-03 21:37:33,634 INFO [stat_yield_rate.py:265] - 开始处理 LRCX (Lam Research Corp) 的数据 +2024-10-03 21:37:36,183 INFO [stat_yield_rate.py:275] - 完成 LRCX 的处理 +2024-10-03 21:37:36,183 INFO [stat_yield_rate.py:265] - 开始处理 LULU (Lululemon Athletica Inc) 的数据 +2024-10-03 21:37:38,861 INFO [stat_yield_rate.py:275] - 完成 LULU 的处理 +2024-10-03 21:37:38,861 INFO [stat_yield_rate.py:265] - 开始处理 LUV (Southwest Airlines) 的数据 +2024-10-03 21:37:41,551 INFO [stat_yield_rate.py:275] - 完成 LUV 的处理 +2024-10-03 21:37:41,551 INFO [stat_yield_rate.py:265] - 开始处理 LVS (Las Vegas Sands Corp) 的数据 +2024-10-03 21:37:44,327 INFO [stat_yield_rate.py:275] - 完成 LVS 的处理 +2024-10-03 21:37:44,327 INFO [stat_yield_rate.py:265] - 开始处理 LW (Lamb Weston Holdings Inc) 的数据 +2024-10-03 21:37:45,626 INFO [stat_yield_rate.py:275] - 完成 LW 的处理 +2024-10-03 21:37:45,626 INFO [stat_yield_rate.py:265] - 开始处理 LYB (Lyondellbasell Industries Nv Class) 的数据 +2024-10-03 21:37:48,366 INFO [stat_yield_rate.py:275] - 完成 LYB 的处理 +2024-10-03 21:37:48,367 INFO [stat_yield_rate.py:265] - 开始处理 LYV (Live Nation Entertainment Inc) 的数据 +2024-10-03 21:37:50,951 INFO [stat_yield_rate.py:275] - 完成 LYV 的处理 +2024-10-03 21:37:50,952 INFO [stat_yield_rate.py:265] - 开始处理 MA (Mastercard Inc Class A) 的数据 +2024-10-03 21:37:53,419 INFO [stat_yield_rate.py:275] - 完成 MA 的处理 +2024-10-03 21:37:53,419 INFO [stat_yield_rate.py:265] - 开始处理 MAA (Mid America Apartment Communities) 的数据 +2024-10-03 21:37:55,939 INFO [stat_yield_rate.py:275] - 完成 MAA 的处理 +2024-10-03 21:37:55,939 INFO [stat_yield_rate.py:265] - 开始处理 MAR (Marriott International Inc Class A) 的数据 +2024-10-03 21:37:58,736 INFO [stat_yield_rate.py:275] - 完成 MAR 的处理 +2024-10-03 21:37:58,736 INFO [stat_yield_rate.py:265] - 开始处理 MAS (Masco Corp) 的数据 +2024-10-03 21:38:01,328 INFO [stat_yield_rate.py:275] - 完成 MAS 的处理 +2024-10-03 21:38:01,328 INFO [stat_yield_rate.py:265] - 开始处理 MCD (Mcdonalds Corp) 的数据 +2024-10-03 21:38:03,761 INFO [stat_yield_rate.py:275] - 完成 MCD 的处理 +2024-10-03 21:38:03,761 INFO [stat_yield_rate.py:265] - 开始处理 MCHP (Microchip Technology Inc) 的数据 +2024-10-03 21:38:06,270 INFO [stat_yield_rate.py:275] - 完成 MCHP 的处理 +2024-10-03 21:38:06,270 INFO [stat_yield_rate.py:265] - 开始处理 MCK (Mckesson Corp) 的数据 +2024-10-03 21:38:11,003 INFO [stat_yield_rate.py:275] - 完成 MCK 的处理 +2024-10-03 21:38:11,003 INFO [stat_yield_rate.py:265] - 开始处理 MCO (Moodys Corp) 的数据 +2024-10-03 21:38:13,567 INFO [stat_yield_rate.py:275] - 完成 MCO 的处理 +2024-10-03 21:38:13,567 INFO [stat_yield_rate.py:265] - 开始处理 MDLZ (Mondelez International Inc Class A) 的数据 +2024-10-03 21:38:16,162 INFO [stat_yield_rate.py:275] - 完成 MDLZ 的处理 +2024-10-03 21:38:16,162 INFO [stat_yield_rate.py:265] - 开始处理 MDT (Medtronic Plc) 的数据 +2024-10-03 21:38:18,711 INFO [stat_yield_rate.py:275] - 完成 MDT 的处理 +2024-10-03 21:38:18,712 INFO [stat_yield_rate.py:265] - 开始处理 MET (Metlife Inc) 的数据 +2024-10-03 21:38:21,448 INFO [stat_yield_rate.py:275] - 完成 MET 的处理 +2024-10-03 21:38:21,448 INFO [stat_yield_rate.py:265] - 开始处理 META (Meta Platforms Inc Class A) 的数据 +2024-10-03 21:38:23,963 INFO [stat_yield_rate.py:275] - 完成 META 的处理 +2024-10-03 21:38:23,964 INFO [stat_yield_rate.py:265] - 开始处理 MGM (Mgm Resorts International) 的数据 +2024-10-03 21:38:26,567 INFO [stat_yield_rate.py:275] - 完成 MGM 的处理 +2024-10-03 21:38:26,567 INFO [stat_yield_rate.py:265] - 开始处理 MHK (Mohawk Industries Inc) 的数据 +2024-10-03 21:38:29,659 INFO [stat_yield_rate.py:275] - 完成 MHK 的处理 +2024-10-03 21:38:29,659 INFO [stat_yield_rate.py:265] - 开始处理 MKC (Mccormick & Co Non-Voting Inc) 的数据 +2024-10-03 21:38:32,177 INFO [stat_yield_rate.py:275] - 完成 MKC 的处理 +2024-10-03 21:38:32,177 INFO [stat_yield_rate.py:265] - 开始处理 MKTX (Marketaxess Holdings Inc) 的数据 +2024-10-03 21:38:34,612 INFO [stat_yield_rate.py:275] - 完成 MKTX 的处理 +2024-10-03 21:38:34,612 INFO [stat_yield_rate.py:265] - 开始处理 MLM (Martin Marietta Materials Inc) 的数据 +2024-10-03 21:38:37,229 INFO [stat_yield_rate.py:275] - 完成 MLM 的处理 +2024-10-03 21:38:37,229 INFO [stat_yield_rate.py:265] - 开始处理 MMC (Marsh & Mclennan Inc) 的数据 +2024-10-03 21:38:39,645 INFO [stat_yield_rate.py:275] - 完成 MMC 的处理 +2024-10-03 21:38:39,645 INFO [stat_yield_rate.py:265] - 开始处理 MMM (3M) 的数据 +2024-10-03 21:38:42,452 INFO [stat_yield_rate.py:275] - 完成 MMM 的处理 +2024-10-03 21:38:42,452 INFO [stat_yield_rate.py:265] - 开始处理 MNST (Monster Beverage Corp) 的数据 +2024-10-03 21:38:45,025 INFO [stat_yield_rate.py:275] - 完成 MNST 的处理 +2024-10-03 21:38:45,025 INFO [stat_yield_rate.py:265] - 开始处理 MO (Altria Group Inc) 的数据 +2024-10-03 21:38:47,833 INFO [stat_yield_rate.py:275] - 完成 MO 的处理 +2024-10-03 21:38:47,833 INFO [stat_yield_rate.py:265] - 开始处理 MOH (Molina Healthcare Inc) 的数据 +2024-10-03 21:38:50,505 INFO [stat_yield_rate.py:275] - 完成 MOH 的处理 +2024-10-03 21:38:50,505 INFO [stat_yield_rate.py:265] - 开始处理 MOS (Mosaic) 的数据 +2024-10-03 21:38:55,420 INFO [stat_yield_rate.py:275] - 完成 MOS 的处理 +2024-10-03 21:38:55,421 INFO [stat_yield_rate.py:265] - 开始处理 MPC (Marathon Petroleum Corp) 的数据 +2024-10-03 21:38:58,143 INFO [stat_yield_rate.py:275] - 完成 MPC 的处理 +2024-10-03 21:38:58,143 INFO [stat_yield_rate.py:265] - 开始处理 MPWR (Monolithic Power Systems Inc) 的数据 +2024-10-03 21:39:00,574 INFO [stat_yield_rate.py:275] - 完成 MPWR 的处理 +2024-10-03 21:39:00,574 INFO [stat_yield_rate.py:265] - 开始处理 MRK (Merck & Co Inc) 的数据 +2024-10-03 21:39:03,247 INFO [stat_yield_rate.py:275] - 完成 MRK 的处理 +2024-10-03 21:39:03,247 INFO [stat_yield_rate.py:265] - 开始处理 MRNA (Moderna Inc) 的数据 +2024-10-03 21:39:03,971 INFO [stat_yield_rate.py:275] - 完成 MRNA 的处理 +2024-10-03 21:39:03,971 INFO [stat_yield_rate.py:265] - 开始处理 MRO (Marathon Oil Corp) 的数据 +2024-10-03 21:39:09,116 INFO [stat_yield_rate.py:275] - 完成 MRO 的处理 +2024-10-03 21:39:09,117 INFO [stat_yield_rate.py:265] - 开始处理 MS (Morgan Stanley) 的数据 +2024-10-03 21:39:11,930 INFO [stat_yield_rate.py:275] - 完成 MS 的处理 +2024-10-03 21:39:11,931 INFO [stat_yield_rate.py:265] - 开始处理 MSCI (Msci Inc) 的数据 +2024-10-03 21:39:14,422 INFO [stat_yield_rate.py:275] - 完成 MSCI 的处理 +2024-10-03 21:39:14,422 INFO [stat_yield_rate.py:265] - 开始处理 MSFT (Microsoft Corp) 的数据 +2024-10-03 21:39:16,906 INFO [stat_yield_rate.py:275] - 完成 MSFT 的处理 +2024-10-03 21:39:16,906 INFO [stat_yield_rate.py:265] - 开始处理 MSI (Motorola Solutions Inc) 的数据 +2024-10-03 21:39:19,341 INFO [stat_yield_rate.py:275] - 完成 MSI 的处理 +2024-10-03 21:39:19,342 INFO [stat_yield_rate.py:265] - 开始处理 MTB (M&T Bank Corp) 的数据 +2024-10-03 21:39:22,061 INFO [stat_yield_rate.py:275] - 完成 MTB 的处理 +2024-10-03 21:39:22,061 INFO [stat_yield_rate.py:265] - 开始处理 MTCH (Match Group Inc) 的数据 +2024-10-03 21:39:25,052 INFO [stat_yield_rate.py:275] - 完成 MTCH 的处理 +2024-10-03 21:39:25,053 INFO [stat_yield_rate.py:265] - 开始处理 MTD (Mettler Toledo Inc) 的数据 +2024-10-03 21:39:27,591 INFO [stat_yield_rate.py:275] - 完成 MTD 的处理 +2024-10-03 21:39:27,591 INFO [stat_yield_rate.py:265] - 开始处理 MU (Micron Technology Inc) 的数据 +2024-10-03 21:39:31,068 INFO [stat_yield_rate.py:275] - 完成 MU 的处理 +2024-10-03 21:39:31,068 INFO [stat_yield_rate.py:265] - 开始处理 NCLH (Norwegian Cruise Line Holdings Ltd) 的数据 +2024-10-03 21:39:33,884 INFO [stat_yield_rate.py:275] - 完成 NCLH 的处理 +2024-10-03 21:39:33,885 INFO [stat_yield_rate.py:265] - 开始处理 NDAQ (Nasdaq Inc) 的数据 +2024-10-03 21:39:36,255 INFO [stat_yield_rate.py:275] - 完成 NDAQ 的处理 +2024-10-03 21:39:36,255 INFO [stat_yield_rate.py:265] - 开始处理 NDSN (Nordson Corp) 的数据 +2024-10-03 21:39:38,840 INFO [stat_yield_rate.py:275] - 完成 NDSN 的处理 +2024-10-03 21:39:38,840 INFO [stat_yield_rate.py:265] - 开始处理 NEE (Nextera Energy Inc) 的数据 +2024-10-03 21:39:41,362 INFO [stat_yield_rate.py:275] - 完成 NEE 的处理 +2024-10-03 21:39:41,363 INFO [stat_yield_rate.py:265] - 开始处理 NEM (Newmont) 的数据 +2024-10-03 21:39:44,345 INFO [stat_yield_rate.py:275] - 完成 NEM 的处理 +2024-10-03 21:39:44,346 INFO [stat_yield_rate.py:265] - 开始处理 NFLX (Netflix Inc) 的数据 +2024-10-03 21:39:46,948 INFO [stat_yield_rate.py:275] - 完成 NFLX 的处理 +2024-10-03 21:39:46,948 INFO [stat_yield_rate.py:265] - 开始处理 NI (Nisource Inc) 的数据 +2024-10-03 21:39:49,407 INFO [stat_yield_rate.py:275] - 完成 NI 的处理 +2024-10-03 21:39:49,408 INFO [stat_yield_rate.py:265] - 开始处理 NKE (Nike Inc Class B) 的数据 +2024-10-03 21:39:52,145 INFO [stat_yield_rate.py:275] - 完成 NKE 的处理 +2024-10-03 21:39:52,145 INFO [stat_yield_rate.py:265] - 开始处理 NOC (Northrop Grumman Corp) 的数据 +2024-10-03 21:39:54,820 INFO [stat_yield_rate.py:275] - 完成 NOC 的处理 +2024-10-03 21:39:54,820 INFO [stat_yield_rate.py:265] - 开始处理 NOW (Servicenow Inc) 的数据 +2024-10-03 21:39:57,348 INFO [stat_yield_rate.py:275] - 完成 NOW 的处理 +2024-10-03 21:39:57,348 INFO [stat_yield_rate.py:265] - 开始处理 NRG (Nrg Energy Inc) 的数据 +2024-10-03 21:40:00,959 INFO [stat_yield_rate.py:275] - 完成 NRG 的处理 +2024-10-03 21:40:00,960 INFO [stat_yield_rate.py:265] - 开始处理 NSC (Norfolk Southern Corp) 的数据 +2024-10-03 21:40:03,772 INFO [stat_yield_rate.py:275] - 完成 NSC 的处理 +2024-10-03 21:40:03,772 INFO [stat_yield_rate.py:265] - 开始处理 NTAP (Netapp Inc) 的数据 +2024-10-03 21:40:06,891 INFO [stat_yield_rate.py:275] - 完成 NTAP 的处理 +2024-10-03 21:40:06,891 INFO [stat_yield_rate.py:265] - 开始处理 NTRS (Northern Trust Corp) 的数据 +2024-10-03 21:40:09,472 INFO [stat_yield_rate.py:275] - 完成 NTRS 的处理 +2024-10-03 21:40:09,472 INFO [stat_yield_rate.py:265] - 开始处理 NUE (Nucor Corp) 的数据 +2024-10-03 21:40:12,279 INFO [stat_yield_rate.py:275] - 完成 NUE 的处理 +2024-10-03 21:40:12,279 INFO [stat_yield_rate.py:265] - 开始处理 NVDA (Nvidia Corp) 的数据 +2024-10-03 21:40:14,717 INFO [stat_yield_rate.py:275] - 完成 NVDA 的处理 +2024-10-03 21:40:14,717 INFO [stat_yield_rate.py:265] - 开始处理 NVR (Nvr Inc) 的数据 +2024-10-03 21:40:17,258 INFO [stat_yield_rate.py:275] - 完成 NVR 的处理 +2024-10-03 21:40:17,258 INFO [stat_yield_rate.py:265] - 开始处理 NWS (News Corp Class B) 的数据 +2024-10-03 21:40:20,380 INFO [stat_yield_rate.py:275] - 完成 NWS 的处理 +2024-10-03 21:40:20,380 INFO [stat_yield_rate.py:265] - 开始处理 NWSA (News Corp Class A) 的数据 +2024-10-03 21:40:23,616 INFO [stat_yield_rate.py:275] - 完成 NWSA 的处理 +2024-10-03 21:40:23,616 INFO [stat_yield_rate.py:265] - 开始处理 NXPI (Nxp Semiconductors Nv) 的数据 +2024-10-03 21:40:26,474 INFO [stat_yield_rate.py:275] - 完成 NXPI 的处理 +2024-10-03 21:40:26,474 INFO [stat_yield_rate.py:265] - 开始处理 O (Realty Income Reit Corp) 的数据 +2024-10-03 21:40:29,146 INFO [stat_yield_rate.py:275] - 完成 O 的处理 +2024-10-03 21:40:29,146 INFO [stat_yield_rate.py:265] - 开始处理 ODFL (Old Dominion Freight Line Inc) 的数据 +2024-10-03 21:40:31,867 INFO [stat_yield_rate.py:275] - 完成 ODFL 的处理 +2024-10-03 21:40:31,867 INFO [stat_yield_rate.py:265] - 开始处理 OKE (Oneok Inc) 的数据 +2024-10-03 21:40:34,858 INFO [stat_yield_rate.py:275] - 完成 OKE 的处理 +2024-10-03 21:40:34,859 INFO [stat_yield_rate.py:265] - 开始处理 OMC (Omnicom Group Inc) 的数据 +2024-10-03 21:40:37,443 INFO [stat_yield_rate.py:275] - 完成 OMC 的处理 +2024-10-03 21:40:37,443 INFO [stat_yield_rate.py:265] - 开始处理 ON (On Semiconductor Corp) 的数据 +2024-10-03 21:40:40,153 INFO [stat_yield_rate.py:275] - 完成 ON 的处理 +2024-10-03 21:40:40,153 INFO [stat_yield_rate.py:265] - 开始处理 ORCL (Oracle Corp) 的数据 +2024-10-03 21:40:42,767 INFO [stat_yield_rate.py:275] - 完成 ORCL 的处理 +2024-10-03 21:40:42,767 INFO [stat_yield_rate.py:265] - 开始处理 ORLY (Oreilly Automotive Inc) 的数据 +2024-10-03 21:40:45,418 INFO [stat_yield_rate.py:275] - 完成 ORLY 的处理 +2024-10-03 21:40:45,419 INFO [stat_yield_rate.py:265] - 开始处理 OTIS (Otis Worldwide Corp) 的数据 +2024-10-03 21:40:46,005 INFO [stat_yield_rate.py:275] - 完成 OTIS 的处理 +2024-10-03 21:40:46,005 INFO [stat_yield_rate.py:265] - 开始处理 OXY (Occidental Petroleum Corp) 的数据 +2024-10-03 21:40:49,256 INFO [stat_yield_rate.py:275] - 完成 OXY 的处理 +2024-10-03 21:40:49,256 INFO [stat_yield_rate.py:265] - 开始处理 PANW (Palo Alto Networks Inc) 的数据 +2024-10-03 21:40:52,216 INFO [stat_yield_rate.py:275] - 完成 PANW 的处理 +2024-10-03 21:40:52,216 INFO [stat_yield_rate.py:265] - 开始处理 PARA (Paramount Global Class B) 的数据 +2024-10-03 21:40:55,325 INFO [stat_yield_rate.py:275] - 完成 PARA 的处理 +2024-10-03 21:40:55,325 INFO [stat_yield_rate.py:265] - 开始处理 PAYC (Paycom Software Inc) 的数据 +2024-10-03 21:40:57,756 INFO [stat_yield_rate.py:275] - 完成 PAYC 的处理 +2024-10-03 21:40:57,756 INFO [stat_yield_rate.py:265] - 开始处理 PAYX (Paychex Inc) 的数据 +2024-10-03 21:41:00,188 INFO [stat_yield_rate.py:275] - 完成 PAYX 的处理 +2024-10-03 21:41:00,188 INFO [stat_yield_rate.py:265] - 开始处理 PCAR (Paccar Inc) 的数据 +2024-10-03 21:41:02,981 INFO [stat_yield_rate.py:275] - 完成 PCAR 的处理 +2024-10-03 21:41:02,981 INFO [stat_yield_rate.py:265] - 开始处理 PCG (Pg&E Corp) 的数据 +2024-10-03 21:41:06,296 INFO [stat_yield_rate.py:275] - 完成 PCG 的处理 +2024-10-03 21:41:06,296 INFO [stat_yield_rate.py:265] - 开始处理 PEAK (Healthpeak Properties Inc) 的数据 +2024-10-03 21:41:06,705 WARNING [stat_yield_rate.py:269] - 未找到 PEAK 的历史数据 +2024-10-03 21:41:06,705 INFO [stat_yield_rate.py:265] - 开始处理 PEG (Public Service Enterprise Group In) 的数据 +2024-10-03 21:41:09,176 INFO [stat_yield_rate.py:275] - 完成 PEG 的处理 +2024-10-03 21:41:09,176 INFO [stat_yield_rate.py:265] - 开始处理 PEP (Pepsico Inc) 的数据 +2024-10-03 21:41:11,641 INFO [stat_yield_rate.py:275] - 完成 PEP 的处理 +2024-10-03 21:41:11,642 INFO [stat_yield_rate.py:265] - 开始处理 PFE (Pfizer Inc) 的数据 +2024-10-03 21:41:14,250 INFO [stat_yield_rate.py:275] - 完成 PFE 的处理 +2024-10-03 21:41:14,250 INFO [stat_yield_rate.py:265] - 开始处理 PFG (Principal Financial Group Inc) 的数据 +2024-10-03 21:41:16,882 INFO [stat_yield_rate.py:275] - 完成 PFG 的处理 +2024-10-03 21:41:16,882 INFO [stat_yield_rate.py:265] - 开始处理 PG (Procter & Gamble) 的数据 +2024-10-03 21:41:19,572 INFO [stat_yield_rate.py:275] - 完成 PG 的处理 +2024-10-03 21:41:19,572 INFO [stat_yield_rate.py:265] - 开始处理 PGR (Progressive Corp) 的数据 +2024-10-03 21:41:22,043 INFO [stat_yield_rate.py:275] - 完成 PGR 的处理 +2024-10-03 21:41:22,043 INFO [stat_yield_rate.py:265] - 开始处理 PH (Parker-Hannifin Corp) 的数据 +2024-10-03 21:41:24,838 INFO [stat_yield_rate.py:275] - 完成 PH 的处理 +2024-10-03 21:41:24,838 INFO [stat_yield_rate.py:265] - 开始处理 PHM (Pultegroup Inc) 的数据 +2024-10-03 21:41:27,474 INFO [stat_yield_rate.py:275] - 完成 PHM 的处理 +2024-10-03 21:41:27,474 INFO [stat_yield_rate.py:265] - 开始处理 PKG (Packaging Corp Of America) 的数据 +2024-10-03 21:41:30,205 INFO [stat_yield_rate.py:275] - 完成 PKG 的处理 +2024-10-03 21:41:30,206 INFO [stat_yield_rate.py:265] - 开始处理 PLD (Prologis Reit Inc) 的数据 +2024-10-03 21:41:32,701 INFO [stat_yield_rate.py:275] - 完成 PLD 的处理 +2024-10-03 21:41:32,701 INFO [stat_yield_rate.py:265] - 开始处理 PLTR (Palantir Technologies Inc) 的数据 +2024-10-03 21:41:33,254 INFO [stat_yield_rate.py:275] - 完成 PLTR 的处理 +2024-10-03 21:41:33,254 INFO [stat_yield_rate.py:265] - 开始处理 PM (Philip Morris International Inc) 的数据 +2024-10-03 21:41:36,060 INFO [stat_yield_rate.py:275] - 完成 PM 的处理 +2024-10-03 21:41:36,060 INFO [stat_yield_rate.py:265] - 开始处理 PNC (Pnc Financial Services Group Inc) 的数据 +2024-10-03 21:41:38,649 INFO [stat_yield_rate.py:275] - 完成 PNC 的处理 +2024-10-03 21:41:38,649 INFO [stat_yield_rate.py:265] - 开始处理 PNR (Pentair) 的数据 +2024-10-03 21:41:41,303 INFO [stat_yield_rate.py:275] - 完成 PNR 的处理 +2024-10-03 21:41:41,303 INFO [stat_yield_rate.py:265] - 开始处理 PNW (Pinnacle West Corp) 的数据 +2024-10-03 21:41:43,874 INFO [stat_yield_rate.py:275] - 完成 PNW 的处理 +2024-10-03 21:41:43,874 INFO [stat_yield_rate.py:265] - 开始处理 PODD (Insulet Corp) 的数据 +2024-10-03 21:41:46,623 INFO [stat_yield_rate.py:275] - 完成 PODD 的处理 +2024-10-03 21:41:46,623 INFO [stat_yield_rate.py:265] - 开始处理 POOL (Pool Corp) 的数据 +2024-10-03 21:41:49,057 INFO [stat_yield_rate.py:275] - 完成 POOL 的处理 +2024-10-03 21:41:49,057 INFO [stat_yield_rate.py:265] - 开始处理 PPG (Ppg Industries Inc) 的数据 +2024-10-03 21:41:51,659 INFO [stat_yield_rate.py:275] - 完成 PPG 的处理 +2024-10-03 21:41:51,660 INFO [stat_yield_rate.py:265] - 开始处理 PPL (Ppl Corp) 的数据 +2024-10-03 21:41:54,360 INFO [stat_yield_rate.py:275] - 完成 PPL 的处理 +2024-10-03 21:41:54,360 INFO [stat_yield_rate.py:265] - 开始处理 PRU (Prudential Financial Inc) 的数据 +2024-10-03 21:41:56,987 INFO [stat_yield_rate.py:275] - 完成 PRU 的处理 +2024-10-03 21:41:56,987 INFO [stat_yield_rate.py:265] - 开始处理 PSA (Public Storage Reit) 的数据 +2024-10-03 21:41:59,821 INFO [stat_yield_rate.py:275] - 完成 PSA 的处理 +2024-10-03 21:41:59,821 INFO [stat_yield_rate.py:265] - 开始处理 PSX (Phillips) 的数据 +2024-10-03 21:42:02,366 INFO [stat_yield_rate.py:275] - 完成 PSX 的处理 +2024-10-03 21:42:02,367 INFO [stat_yield_rate.py:265] - 开始处理 PTC (Ptc Inc) 的数据 +2024-10-03 21:42:04,905 INFO [stat_yield_rate.py:275] - 完成 PTC 的处理 +2024-10-03 21:42:04,906 INFO [stat_yield_rate.py:265] - 开始处理 PWR (Quanta Services Inc) 的数据 +2024-10-03 21:42:07,748 INFO [stat_yield_rate.py:275] - 完成 PWR 的处理 +2024-10-03 21:42:07,748 INFO [stat_yield_rate.py:265] - 开始处理 PXD (Pioneer Natural Resource) 的数据 +2024-10-03 21:42:08,153 WARNING [stat_yield_rate.py:269] - 未找到 PXD 的历史数据 +2024-10-03 21:42:08,153 INFO [stat_yield_rate.py:265] - 开始处理 PYPL (Paypal Holdings Inc) 的数据 +2024-10-03 21:42:10,161 INFO [stat_yield_rate.py:275] - 完成 PYPL 的处理 +2024-10-03 21:42:10,161 INFO [stat_yield_rate.py:265] - 开始处理 QCOM (Qualcomm Inc) 的数据 +2024-10-03 21:42:13,170 INFO [stat_yield_rate.py:275] - 完成 QCOM 的处理 +2024-10-03 21:42:13,170 INFO [stat_yield_rate.py:265] - 开始处理 QRVO (Qorvo Inc) 的数据 +2024-10-03 21:42:15,781 INFO [stat_yield_rate.py:275] - 完成 QRVO 的处理 +2024-10-03 21:42:15,781 INFO [stat_yield_rate.py:265] - 开始处理 RCL (Royal Caribbean Group Ltd) 的数据 +2024-10-03 21:42:18,323 INFO [stat_yield_rate.py:275] - 完成 RCL 的处理 +2024-10-03 21:42:18,324 INFO [stat_yield_rate.py:265] - 开始处理 REG (Regency Centers Reit Corp) 的数据 +2024-10-03 21:42:21,358 INFO [stat_yield_rate.py:275] - 完成 REG 的处理 +2024-10-03 21:42:21,358 INFO [stat_yield_rate.py:265] - 开始处理 REGN (Regeneron Pharmaceuticals Inc) 的数据 +2024-10-03 21:42:24,688 INFO [stat_yield_rate.py:275] - 完成 REGN 的处理 +2024-10-03 21:42:24,688 INFO [stat_yield_rate.py:265] - 开始处理 RF (Regions Financial Corp) 的数据 +2024-10-03 21:42:27,294 INFO [stat_yield_rate.py:275] - 完成 RF 的处理 +2024-10-03 21:42:27,294 INFO [stat_yield_rate.py:265] - 开始处理 RJF (Raymond James Inc) 的数据 +2024-10-03 21:42:29,852 INFO [stat_yield_rate.py:275] - 完成 RJF 的处理 +2024-10-03 21:42:29,852 INFO [stat_yield_rate.py:265] - 开始处理 RL (Ralph Lauren Corp Class A) 的数据 +2024-10-03 21:42:33,874 INFO [stat_yield_rate.py:275] - 完成 RL 的处理 +2024-10-03 21:42:33,874 INFO [stat_yield_rate.py:265] - 开始处理 RMD (Resmed Inc) 的数据 +2024-10-03 21:42:36,442 INFO [stat_yield_rate.py:275] - 完成 RMD 的处理 +2024-10-03 21:42:36,442 INFO [stat_yield_rate.py:265] - 开始处理 ROK (Rockwell Automation Inc) 的数据 +2024-10-03 21:42:39,059 INFO [stat_yield_rate.py:275] - 完成 ROK 的处理 +2024-10-03 21:42:39,059 INFO [stat_yield_rate.py:265] - 开始处理 ROL (Rollins Inc) 的数据 +2024-10-03 21:42:41,565 INFO [stat_yield_rate.py:275] - 完成 ROL 的处理 +2024-10-03 21:42:41,565 INFO [stat_yield_rate.py:265] - 开始处理 ROP (Roper Technologies Inc) 的数据 +2024-10-03 21:42:44,012 INFO [stat_yield_rate.py:275] - 完成 ROP 的处理 +2024-10-03 21:42:44,012 INFO [stat_yield_rate.py:265] - 开始处理 ROST (Ross Stores Inc) 的数据 +2024-10-03 21:42:46,459 INFO [stat_yield_rate.py:275] - 完成 ROST 的处理 +2024-10-03 21:42:46,459 INFO [stat_yield_rate.py:265] - 开始处理 RSG (Republic Services Inc) 的数据 +2024-10-03 21:42:48,798 INFO [stat_yield_rate.py:275] - 完成 RSG 的处理 +2024-10-03 21:42:48,798 INFO [stat_yield_rate.py:265] - 开始处理 RTX (Rtx Corp) 的数据 +2024-10-03 21:42:51,650 INFO [stat_yield_rate.py:275] - 完成 RTX 的处理 +2024-10-03 21:42:51,650 INFO [stat_yield_rate.py:265] - 开始处理 RVTY (Revvity Inc) 的数据 +2024-10-03 21:42:54,085 INFO [stat_yield_rate.py:275] - 完成 RVTY 的处理 +2024-10-03 21:42:54,086 INFO [stat_yield_rate.py:265] - 开始处理 SBAC (Sba Communications Reit Corp Class) 的数据 +2024-10-03 21:42:56,633 INFO [stat_yield_rate.py:275] - 完成 SBAC 的处理 +2024-10-03 21:42:56,633 INFO [stat_yield_rate.py:265] - 开始处理 SBUX (Starbucks Corp) 的数据 +2024-10-03 21:42:59,227 INFO [stat_yield_rate.py:275] - 完成 SBUX 的处理 +2024-10-03 21:42:59,227 INFO [stat_yield_rate.py:265] - 开始处理 SCHW (Charles Schwab Corp) 的数据 +2024-10-03 21:43:01,892 INFO [stat_yield_rate.py:275] - 完成 SCHW 的处理 +2024-10-03 21:43:01,892 INFO [stat_yield_rate.py:265] - 开始处理 SHW (Sherwin Williams) 的数据 +2024-10-03 21:43:04,350 INFO [stat_yield_rate.py:275] - 完成 SHW 的处理 +2024-10-03 21:43:04,350 INFO [stat_yield_rate.py:265] - 开始处理 SJM (Jm Smucker) 的数据 +2024-10-03 21:43:07,235 INFO [stat_yield_rate.py:275] - 完成 SJM 的处理 +2024-10-03 21:43:07,235 INFO [stat_yield_rate.py:265] - 开始处理 SLB (Schlumberger Nv) 的数据 +2024-10-03 21:43:11,420 INFO [stat_yield_rate.py:275] - 完成 SLB 的处理 +2024-10-03 21:43:11,420 INFO [stat_yield_rate.py:265] - 开始处理 SMCI (Super Micro Computer Inc) 的数据 +2024-10-03 21:43:14,988 INFO [stat_yield_rate.py:275] - 完成 SMCI 的处理 +2024-10-03 21:43:14,988 INFO [stat_yield_rate.py:265] - 开始处理 SNA (Snap On Inc) 的数据 +2024-10-03 21:43:17,553 INFO [stat_yield_rate.py:275] - 完成 SNA 的处理 +2024-10-03 21:43:17,553 INFO [stat_yield_rate.py:265] - 开始处理 SNPS (Synopsys Inc) 的数据 +2024-10-03 21:43:19,913 INFO [stat_yield_rate.py:275] - 完成 SNPS 的处理 +2024-10-03 21:43:19,913 INFO [stat_yield_rate.py:265] - 开始处理 SO (Southern) 的数据 +2024-10-03 21:43:22,467 INFO [stat_yield_rate.py:275] - 完成 SO 的处理 +2024-10-03 21:43:22,468 INFO [stat_yield_rate.py:265] - 开始处理 SOLV (Solventum Corp) 的数据 +2024-10-03 21:43:22,922 INFO [stat_yield_rate.py:275] - 完成 SOLV 的处理 +2024-10-03 21:43:22,923 INFO [stat_yield_rate.py:265] - 开始处理 SPG (Simon Property Group Reit Inc) 的数据 +2024-10-03 21:43:25,862 INFO [stat_yield_rate.py:275] - 完成 SPG 的处理 +2024-10-03 21:43:25,863 INFO [stat_yield_rate.py:265] - 开始处理 SPGI (S&P Global Inc) 的数据 +2024-10-03 21:43:28,355 INFO [stat_yield_rate.py:275] - 完成 SPGI 的处理 +2024-10-03 21:43:28,355 INFO [stat_yield_rate.py:265] - 开始处理 SRE (Sempra) 的数据 +2024-10-03 21:43:30,963 INFO [stat_yield_rate.py:275] - 完成 SRE 的处理 +2024-10-03 21:43:30,964 INFO [stat_yield_rate.py:265] - 开始处理 STE (Steris) 的数据 +2024-10-03 21:43:33,460 INFO [stat_yield_rate.py:275] - 完成 STE 的处理 +2024-10-03 21:43:33,460 INFO [stat_yield_rate.py:265] - 开始处理 STLD (Steel Dynamics Inc) 的数据 +2024-10-03 21:43:36,137 INFO [stat_yield_rate.py:275] - 完成 STLD 的处理 +2024-10-03 21:43:36,137 INFO [stat_yield_rate.py:265] - 开始处理 STT (State Street Corp) 的数据 +2024-10-03 21:43:38,979 INFO [stat_yield_rate.py:275] - 完成 STT 的处理 +2024-10-03 21:43:38,979 INFO [stat_yield_rate.py:265] - 开始处理 STX (Seagate Technology Holdings Plc) 的数据 +2024-10-03 21:43:42,336 INFO [stat_yield_rate.py:275] - 完成 STX 的处理 +2024-10-03 21:43:42,336 INFO [stat_yield_rate.py:265] - 开始处理 STZ (Constellation Brands Inc Class A) 的数据 +2024-10-03 21:43:44,731 INFO [stat_yield_rate.py:275] - 完成 STZ 的处理 +2024-10-03 21:43:44,731 INFO [stat_yield_rate.py:265] - 开始处理 SWK (Stanley Black & Decker Inc) 的数据 +2024-10-03 21:43:47,224 INFO [stat_yield_rate.py:275] - 完成 SWK 的处理 +2024-10-03 21:43:47,224 INFO [stat_yield_rate.py:265] - 开始处理 SWKS (Skyworks Solutions Inc) 的数据 +2024-10-03 21:43:50,008 INFO [stat_yield_rate.py:275] - 完成 SWKS 的处理 +2024-10-03 21:43:50,008 INFO [stat_yield_rate.py:265] - 开始处理 SYF (Synchrony Financial) 的数据 +2024-10-03 21:43:52,750 INFO [stat_yield_rate.py:275] - 完成 SYF 的处理 +2024-10-03 21:43:52,751 INFO [stat_yield_rate.py:265] - 开始处理 SYK (Stryker Corp) 的数据 +2024-10-03 21:43:55,125 INFO [stat_yield_rate.py:275] - 完成 SYK 的处理 +2024-10-03 21:43:55,125 INFO [stat_yield_rate.py:265] - 开始处理 SYY (Sysco Corp) 的数据 +2024-10-03 21:43:57,581 INFO [stat_yield_rate.py:275] - 完成 SYY 的处理 +2024-10-03 21:43:57,581 INFO [stat_yield_rate.py:265] - 开始处理 T (At&T Inc) 的数据 +2024-10-03 21:44:00,148 INFO [stat_yield_rate.py:275] - 完成 T 的处理 +2024-10-03 21:44:00,148 INFO [stat_yield_rate.py:265] - 开始处理 TAP (Molson Coors Brewing Class B) 的数据 +2024-10-03 21:44:04,417 INFO [stat_yield_rate.py:275] - 完成 TAP 的处理 +2024-10-03 21:44:04,417 INFO [stat_yield_rate.py:265] - 开始处理 TDG (Transdigm Group Inc) 的数据 +2024-10-03 21:44:06,822 INFO [stat_yield_rate.py:275] - 完成 TDG 的处理 +2024-10-03 21:44:06,822 INFO [stat_yield_rate.py:265] - 开始处理 TDY (Teledyne Technologies Inc) 的数据 +2024-10-03 21:44:09,432 INFO [stat_yield_rate.py:275] - 完成 TDY 的处理 +2024-10-03 21:44:09,432 INFO [stat_yield_rate.py:265] - 开始处理 TECH (Bio Techne Corp) 的数据 +2024-10-03 21:44:11,989 INFO [stat_yield_rate.py:275] - 完成 TECH 的处理 +2024-10-03 21:44:11,989 INFO [stat_yield_rate.py:265] - 开始处理 TEL (Te Connectivity Ltd) 的数据 +2024-10-03 21:44:14,725 INFO [stat_yield_rate.py:275] - 完成 TEL 的处理 +2024-10-03 21:44:14,725 INFO [stat_yield_rate.py:265] - 开始处理 TER (Teradyne Inc) 的数据 +2024-10-03 21:44:17,198 INFO [stat_yield_rate.py:275] - 完成 TER 的处理 +2024-10-03 21:44:17,198 INFO [stat_yield_rate.py:265] - 开始处理 TFC (Truist Financial Corp) 的数据 +2024-10-03 21:44:19,782 INFO [stat_yield_rate.py:275] - 完成 TFC 的处理 +2024-10-03 21:44:19,782 INFO [stat_yield_rate.py:265] - 开始处理 TFX (Teleflex Inc) 的数据 +2024-10-03 21:44:22,198 INFO [stat_yield_rate.py:275] - 完成 TFX 的处理 +2024-10-03 21:44:22,199 INFO [stat_yield_rate.py:265] - 开始处理 TGT (Target Corp) 的数据 +2024-10-03 21:44:24,831 INFO [stat_yield_rate.py:275] - 完成 TGT 的处理 +2024-10-03 21:44:24,831 INFO [stat_yield_rate.py:265] - 开始处理 TJX (Tjx Inc) 的数据 +2024-10-03 21:44:27,288 INFO [stat_yield_rate.py:275] - 完成 TJX 的处理 +2024-10-03 21:44:27,288 INFO [stat_yield_rate.py:265] - 开始处理 TMO (Thermo Fisher Scientific Inc) 的数据 +2024-10-03 21:44:29,725 INFO [stat_yield_rate.py:275] - 完成 TMO 的处理 +2024-10-03 21:44:29,725 INFO [stat_yield_rate.py:265] - 开始处理 TMUS (T Mobile Us Inc) 的数据 +2024-10-03 21:44:32,148 INFO [stat_yield_rate.py:275] - 完成 TMUS 的处理 +2024-10-03 21:44:32,148 INFO [stat_yield_rate.py:265] - 开始处理 TPR (Tapestry Inc) 的数据 +2024-10-03 21:44:34,923 INFO [stat_yield_rate.py:275] - 完成 TPR 的处理 +2024-10-03 21:44:34,923 INFO [stat_yield_rate.py:265] - 开始处理 TRGP (Targa Resources Corp) 的数据 +2024-10-03 21:44:40,238 INFO [stat_yield_rate.py:275] - 完成 TRGP 的处理 +2024-10-03 21:44:40,238 INFO [stat_yield_rate.py:265] - 开始处理 TRMB (Trimble Inc) 的数据 +2024-10-03 21:44:43,049 INFO [stat_yield_rate.py:275] - 完成 TRMB 的处理 +2024-10-03 21:44:43,049 INFO [stat_yield_rate.py:265] - 开始处理 TROW (T Rowe Price Group Inc) 的数据 +2024-10-03 21:44:46,058 INFO [stat_yield_rate.py:275] - 完成 TROW 的处理 +2024-10-03 21:44:46,058 INFO [stat_yield_rate.py:265] - 开始处理 TRV (Travelers Companies Inc) 的数据 +2024-10-03 21:44:48,520 INFO [stat_yield_rate.py:275] - 完成 TRV 的处理 +2024-10-03 21:44:48,521 INFO [stat_yield_rate.py:265] - 开始处理 TSCO (Tractor Supply) 的数据 +2024-10-03 21:44:51,357 INFO [stat_yield_rate.py:275] - 完成 TSCO 的处理 +2024-10-03 21:44:51,357 INFO [stat_yield_rate.py:265] - 开始处理 TSLA (Tesla Inc) 的数据 +2024-10-03 21:44:54,012 INFO [stat_yield_rate.py:275] - 完成 TSLA 的处理 +2024-10-03 21:44:54,013 INFO [stat_yield_rate.py:265] - 开始处理 TSN (Tyson Foods Inc Class A) 的数据 +2024-10-03 21:44:56,581 INFO [stat_yield_rate.py:275] - 完成 TSN 的处理 +2024-10-03 21:44:56,581 INFO [stat_yield_rate.py:265] - 开始处理 TT (Trane Technologies Plc) 的数据 +2024-10-03 21:44:59,104 INFO [stat_yield_rate.py:275] - 完成 TT 的处理 +2024-10-03 21:44:59,104 INFO [stat_yield_rate.py:265] - 开始处理 TTWO (Take Two Interactive Software Inc) 的数据 +2024-10-03 21:45:01,523 INFO [stat_yield_rate.py:275] - 完成 TTWO 的处理 +2024-10-03 21:45:01,523 INFO [stat_yield_rate.py:265] - 开始处理 TXN (Texas Instrument Inc) 的数据 +2024-10-03 21:45:03,958 INFO [stat_yield_rate.py:275] - 完成 TXN 的处理 +2024-10-03 21:45:03,958 INFO [stat_yield_rate.py:265] - 开始处理 TXT (Textron Inc) 的数据 +2024-10-03 21:45:06,724 INFO [stat_yield_rate.py:275] - 完成 TXT 的处理 +2024-10-03 21:45:06,724 INFO [stat_yield_rate.py:265] - 开始处理 TYL (Tyler Technologies Inc) 的数据 +2024-10-03 21:45:09,209 INFO [stat_yield_rate.py:275] - 完成 TYL 的处理 +2024-10-03 21:45:09,209 INFO [stat_yield_rate.py:265] - 开始处理 UAL (United Airlines Holdings Inc) 的数据 +2024-10-03 21:45:11,896 INFO [stat_yield_rate.py:275] - 完成 UAL 的处理 +2024-10-03 21:45:11,896 INFO [stat_yield_rate.py:265] - 开始处理 UBER (Uber Technologies Inc) 的数据 +2024-10-03 21:45:12,543 INFO [stat_yield_rate.py:275] - 完成 UBER 的处理 +2024-10-03 21:45:12,543 INFO [stat_yield_rate.py:265] - 开始处理 UDR (Udr Reit Inc) 的数据 +2024-10-03 21:45:14,936 INFO [stat_yield_rate.py:275] - 完成 UDR 的处理 +2024-10-03 21:45:14,936 INFO [stat_yield_rate.py:265] - 开始处理 UHS (Universal Health Services Inc Clas) 的数据 +2024-10-03 21:45:17,812 INFO [stat_yield_rate.py:275] - 完成 UHS 的处理 +2024-10-03 21:45:17,812 INFO [stat_yield_rate.py:265] - 开始处理 ULTA (Ulta Beauty Inc) 的数据 +2024-10-03 21:45:20,323 INFO [stat_yield_rate.py:275] - 完成 ULTA 的处理 +2024-10-03 21:45:20,323 INFO [stat_yield_rate.py:265] - 开始处理 UNH (Unitedhealth Group Inc) 的数据 +2024-10-03 21:45:22,743 INFO [stat_yield_rate.py:275] - 完成 UNH 的处理 +2024-10-03 21:45:22,743 INFO [stat_yield_rate.py:265] - 开始处理 UNP (Union Pacific Corp) 的数据 +2024-10-03 21:45:25,721 INFO [stat_yield_rate.py:275] - 完成 UNP 的处理 +2024-10-03 21:45:25,721 INFO [stat_yield_rate.py:265] - 开始处理 UPS (United Parcel Service Inc Class B) 的数据 +2024-10-03 21:45:28,260 INFO [stat_yield_rate.py:275] - 完成 UPS 的处理 +2024-10-03 21:45:28,260 INFO [stat_yield_rate.py:265] - 开始处理 URI (United Rentals Inc) 的数据 +2024-10-03 21:45:31,165 INFO [stat_yield_rate.py:275] - 完成 URI 的处理 +2024-10-03 21:45:31,165 INFO [stat_yield_rate.py:265] - 开始处理 USB (Us Bancorp) 的数据 +2024-10-03 21:45:33,690 INFO [stat_yield_rate.py:275] - 完成 USB 的处理 +2024-10-03 21:45:33,691 INFO [stat_yield_rate.py:265] - 开始处理 V (Visa Inc Class A) 的数据 +2024-10-03 21:45:36,078 INFO [stat_yield_rate.py:275] - 完成 V 的处理 +2024-10-03 21:45:36,079 INFO [stat_yield_rate.py:265] - 开始处理 VICI (Vici Pptys Inc) 的数据 +2024-10-03 21:45:36,991 INFO [stat_yield_rate.py:275] - 完成 VICI 的处理 +2024-10-03 21:45:36,991 INFO [stat_yield_rate.py:265] - 开始处理 VLO (Valero Energy Corp) 的数据 +2024-10-03 21:45:39,533 INFO [stat_yield_rate.py:275] - 完成 VLO 的处理 +2024-10-03 21:45:39,534 INFO [stat_yield_rate.py:265] - 开始处理 VLTO (Veralto) 的数据 +2024-10-03 21:45:39,988 INFO [stat_yield_rate.py:275] - 完成 VLTO 的处理 +2024-10-03 21:45:39,988 INFO [stat_yield_rate.py:265] - 开始处理 VMC (Vulcan Materials) 的数据 +2024-10-03 21:45:42,423 INFO [stat_yield_rate.py:275] - 完成 VMC 的处理 +2024-10-03 21:45:42,423 INFO [stat_yield_rate.py:265] - 开始处理 VRSK (Verisk Analytics Inc) 的数据 +2024-10-03 21:45:44,868 INFO [stat_yield_rate.py:275] - 完成 VRSK 的处理 +2024-10-03 21:45:44,868 INFO [stat_yield_rate.py:265] - 开始处理 VRSN (Verisign Inc) 的数据 +2024-10-03 21:45:47,405 INFO [stat_yield_rate.py:275] - 完成 VRSN 的处理 +2024-10-03 21:45:47,405 INFO [stat_yield_rate.py:265] - 开始处理 VRTX (Vertex Pharmaceuticals Inc) 的数据 +2024-10-03 21:45:50,098 INFO [stat_yield_rate.py:275] - 完成 VRTX 的处理 +2024-10-03 21:45:50,099 INFO [stat_yield_rate.py:265] - 开始处理 VTR (Ventas Reit Inc) 的数据 +2024-10-03 21:45:53,550 INFO [stat_yield_rate.py:275] - 完成 VTR 的处理 +2024-10-03 21:45:53,550 INFO [stat_yield_rate.py:265] - 开始处理 VTRS (Viatris Inc) 的数据 +2024-10-03 21:45:58,854 INFO [stat_yield_rate.py:275] - 完成 VTRS 的处理 +2024-10-03 21:45:58,854 INFO [stat_yield_rate.py:265] - 开始处理 VZ (Verizon Communications Inc) 的数据 +2024-10-03 21:46:01,476 INFO [stat_yield_rate.py:275] - 完成 VZ 的处理 +2024-10-03 21:46:01,476 INFO [stat_yield_rate.py:265] - 开始处理 WAB (Westinghouse Air Brake Technologie) 的数据 +2024-10-03 21:46:04,437 INFO [stat_yield_rate.py:275] - 完成 WAB 的处理 +2024-10-03 21:46:04,437 INFO [stat_yield_rate.py:265] - 开始处理 WAT (Waters Corp) 的数据 +2024-10-03 21:46:06,897 INFO [stat_yield_rate.py:275] - 完成 WAT 的处理 +2024-10-03 21:46:06,897 INFO [stat_yield_rate.py:265] - 开始处理 WBA (Walgreen Boots Alliance Inc) 的数据 +2024-10-03 21:46:09,785 INFO [stat_yield_rate.py:275] - 完成 WBA 的处理 +2024-10-03 21:46:09,785 INFO [stat_yield_rate.py:265] - 开始处理 WBD (Warner Bros. Discovery Inc Series) 的数据 +2024-10-03 21:46:13,083 INFO [stat_yield_rate.py:275] - 完成 WBD 的处理 +2024-10-03 21:46:13,083 INFO [stat_yield_rate.py:265] - 开始处理 WDC (Western Digital Corp) 的数据 +2024-10-03 21:46:16,960 INFO [stat_yield_rate.py:275] - 完成 WDC 的处理 +2024-10-03 21:46:16,960 INFO [stat_yield_rate.py:265] - 开始处理 WEC (Wec Energy Group Inc) 的数据 +2024-10-03 21:46:19,542 INFO [stat_yield_rate.py:275] - 完成 WEC 的处理 +2024-10-03 21:46:19,543 INFO [stat_yield_rate.py:265] - 开始处理 WELL (Welltower Inc) 的数据 +2024-10-03 21:46:22,293 INFO [stat_yield_rate.py:275] - 完成 WELL 的处理 +2024-10-03 21:46:22,293 INFO [stat_yield_rate.py:265] - 开始处理 WFC (Wells Fargo) 的数据 +2024-10-03 21:46:24,969 INFO [stat_yield_rate.py:275] - 完成 WFC 的处理 +2024-10-03 21:46:24,969 INFO [stat_yield_rate.py:265] - 开始处理 WM (Waste Management Inc) 的数据 +2024-10-03 21:46:27,404 INFO [stat_yield_rate.py:275] - 完成 WM 的处理 +2024-10-03 21:46:27,405 INFO [stat_yield_rate.py:265] - 开始处理 WMB (Williams Inc) 的数据 +2024-10-03 21:46:31,792 INFO [stat_yield_rate.py:275] - 完成 WMB 的处理 +2024-10-03 21:46:31,793 INFO [stat_yield_rate.py:265] - 开始处理 WMT (Walmart Inc) 的数据 +2024-10-03 21:46:34,827 INFO [stat_yield_rate.py:275] - 完成 WMT 的处理 +2024-10-03 21:46:34,827 INFO [stat_yield_rate.py:265] - 开始处理 WRB (Wr Berkley Corp) 的数据 +2024-10-03 21:46:37,251 INFO [stat_yield_rate.py:275] - 完成 WRB 的处理 +2024-10-03 21:46:37,251 INFO [stat_yield_rate.py:265] - 开始处理 WRK (Westrock) 的数据 +2024-10-03 21:46:37,654 WARNING [stat_yield_rate.py:269] - 未找到 WRK 的历史数据 +2024-10-03 21:46:37,655 INFO [stat_yield_rate.py:265] - 开始处理 WST (West Pharmaceutical Services Inc) 的数据 +2024-10-03 21:46:40,114 INFO [stat_yield_rate.py:275] - 完成 WST 的处理 +2024-10-03 21:46:40,115 INFO [stat_yield_rate.py:265] - 开始处理 WTW (Willis Towers Watson Plc) 的数据 +2024-10-03 21:46:42,644 INFO [stat_yield_rate.py:275] - 完成 WTW 的处理 +2024-10-03 21:46:42,644 INFO [stat_yield_rate.py:265] - 开始处理 WY (Weyerhaeuser Reit) 的数据 +2024-10-03 21:46:45,559 INFO [stat_yield_rate.py:275] - 完成 WY 的处理 +2024-10-03 21:46:45,559 INFO [stat_yield_rate.py:265] - 开始处理 WYNN (Wynn Resorts Ltd) 的数据 +2024-10-03 21:46:49,288 INFO [stat_yield_rate.py:275] - 完成 WYNN 的处理 +2024-10-03 21:46:49,288 INFO [stat_yield_rate.py:265] - 开始处理 XEL (Xcel Energy Inc) 的数据 +2024-10-03 21:46:51,821 INFO [stat_yield_rate.py:275] - 完成 XEL 的处理 +2024-10-03 21:46:51,821 INFO [stat_yield_rate.py:265] - 开始处理 XOM (Exxon Mobil Corp) 的数据 +2024-10-03 21:46:54,705 INFO [stat_yield_rate.py:275] - 完成 XOM 的处理 +2024-10-03 21:46:54,705 INFO [stat_yield_rate.py:265] - 开始处理 XYL (Xylem Inc) 的数据 +2024-10-03 21:46:57,193 INFO [stat_yield_rate.py:275] - 完成 XYL 的处理 +2024-10-03 21:46:57,193 INFO [stat_yield_rate.py:265] - 开始处理 YUM (Yum Brands Inc) 的数据 +2024-10-03 21:46:59,674 INFO [stat_yield_rate.py:275] - 完成 YUM 的处理 +2024-10-03 21:46:59,674 INFO [stat_yield_rate.py:265] - 开始处理 ZBH (Zimmer Biomet Holdings Inc) 的数据 +2024-10-03 21:47:02,282 INFO [stat_yield_rate.py:275] - 完成 ZBH 的处理 +2024-10-03 21:47:02,282 INFO [stat_yield_rate.py:265] - 开始处理 ZBRA (Zebra Technologies Corp Class A) 的数据 +2024-10-03 21:47:05,108 INFO [stat_yield_rate.py:275] - 完成 ZBRA 的处理 +2024-10-03 21:47:05,108 INFO [stat_yield_rate.py:265] - 开始处理 ZTS (Zoetis Inc Class A) 的数据 +2024-10-03 21:47:07,635 INFO [stat_yield_rate.py:275] - 完成 ZTS 的处理 diff --git a/stockapp/sample/AAPL.csv b/stockapp/sample/AAPL.csv new file mode 100644 index 0000000..a9e59e2 --- /dev/null +++ b/stockapp/sample/AAPL.csv @@ -0,0 +1,2516 @@ +Date,Open,High,Low,Close,Adj Close,Volume +2014-10-08,24.690000534057617,25.27750015258789,24.577499389648438,25.200000762939453,22.375268936157227,229618800 +2014-10-09,25.385000228881836,25.594999313354492,25.15250015258789,25.2549991607666,22.424100875854492,309506000 +2014-10-10,25.172500610351562,25.50749969482422,25.075000762939453,25.1825008392334,22.359722137451172,265326400 +2014-10-13,25.332500457763672,25.44499969482422,24.952499389648438,24.952499389648438,22.15550422668457,214333600 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00:00:00-04:00,370.6531603454702,379.0920765891574,364.23302227147724,367.6424865722656,838365,0.0,0.0 +2024-07-19 00:00:00-04:00,369.7659078899317,373.68377825043257,368.02130587753396,369.0880126953125,533367,0.0,0.0 +2024-07-22 00:00:00-04:00,374.42150730892365,378.7780535671007,371.1715834911255,378.0901794433594,410683,0.0,0.0 +2024-07-23 00:00:00-04:00,376.0863502938764,383.2940598881316,375.8670276798156,378.4291076660156,374243,0.0,0.0 +2024-07-24 00:00:00-04:00,371.620180094876,372.92117794458864,354.5828978455403,355.87890625,668557,0.0,0.0 +2024-07-25 00:00:00-04:00,355.99851479603956,363.385661962818,346.05926650026623,354.4532775878906,737031,0.0,0.0 +2024-07-26 00:00:00-04:00,363.50529905615997,368.4200851076548,361.19244782365195,365.95770263671875,342262,0.0,0.0 +2024-07-29 00:00:00-04:00,367.02440299296666,371.4208038653656,362.7576059993862,365.7583312988281,526629,0.0,0.0 +2024-07-30 00:00:00-04:00,377.5917088318511,387.85992588597173,367.8618042204896,378.62847900390625,793266,0.0,0.0 +2024-07-31 00:00:00-04:00,390.55161062527526,402.3451071392197,389.98336151104075,394.4295959472656,868384,0.0,0.0 +2024-08-01 00:00:00-04:00,394.42959408657003,397.56987168831967,369.8905298723302,378.59857177734375,658817,0.0,0.0 +2024-08-02 00:00:00-04:00,367.8618159338109,368.43006506492924,353.5261663150345,365.06048583984375,599728,0.0,0.0 +2024-08-05 00:00:00-04:00,348.9503308411311,367.9864335083699,345.0623664803544,363.29595947265625,556459,0.0,0.0 +2024-08-06 00:00:00-04:00,363.4853257421716,367.6823616698551,359.3581116206991,359.9163818359375,409256,0.0,0.0 +2024-08-07 00:00:00-04:00,365.2498812632329,368.8686891532986,357.8727131426525,357.9325256347656,403183,0.0,0.0 +2024-08-08 00:00:00-04:00,362.4485467524425,374.4115317990904,358.5670628905919,372.6270446777344,463829,0.0,0.0 +2024-08-09 00:00:00-04:00,370.28430128257116,375.9467737826788,368.51977187425973,375.8371276855469,414487,0.0,0.0 +2024-08-12 00:00:00-04:00,376.4153250136315,378.8029570050769,369.35717696165193,372.1186218261719,317600,0.0,0.0 +2024-08-13 00:00:00-04:00,376.8041349299536,378.8876845755928,370.51360085635736,373.92303466796875,377122,0.0,0.0 +2024-08-14 00:00:00-04:00,375.5679677793258,379.5157444359117,374.51123983803484,378.50885009765625,358502,0.0,0.0 +2024-08-15 00:00:00-04:00,384.54021877428715,388.03937141860916,378.3693095236816,379.7948913574219,349053,0.0,0.0 +2024-08-16 00:00:00-04:00,378.77802783854605,378.77802783854605,370.3740076853003,372.6768798828125,332625,0.0,0.0 +2024-08-19 00:00:00-04:00,372.73672382764045,374.5610656738281,369.19765580560306,374.5610656738281,299129,0.0,0.0 +2024-08-20 00:00:00-04:00,374.6807166304826,375.5530176900987,368.4898799145147,369.7759094238281,244720,0.0,0.0 +2024-08-21 00:00:00-04:00,369.7759042533408,376.3106779412353,368.93846847518597,374.26202392578125,333752,0.0,0.0 +2024-08-22 00:00:00-04:00,374.20217858186936,381.18180385382817,373.8831887512713,376.9736328125,237513,0.0,0.0 +2024-08-23 00:00:00-04:00,379.06713702756366,385.48727523135875,379.06713702756366,384.5900573730469,369133,0.0,0.0 +2024-08-26 00:00:00-04:00,386.81316772370513,390.2275909196776,382.7756419573262,383.9220886230469,294307,0.0,0.0 +2024-08-27 00:00:00-04:00,381.41985386099293,388.49795957770425,380.3033134346786,386.7732849121094,478413,0.0,0.0 +2024-08-28 00:00:00-04:00,387.4212794401099,390.28242192958055,383.7426589755205,387.8699035644531,377009,0.0,0.0 +2024-08-29 00:00:00-04:00,391.4189179629422,401.42795759852726,389.2082591697214,394.29998779296875,391782,0.0,0.0 +2024-08-30 00:00:00-04:00,396.3800048828125,401.05499267578125,391.5,399.9200134277344,594192,1.22,0.0 +2024-09-03 00:00:00-04:00,396.17999267578125,396.9549865722656,376.3599853515625,378.9599914550781,591207,0.0,0.0 +2024-09-04 00:00:00-04:00,377.5199890136719,379.20001220703125,369.20001220703125,374.7699890136719,441828,0.0,0.0 +2024-09-05 00:00:00-04:00,373.3399963378906,373.5,364.79998779296875,370.4200134277344,428210,0.0,0.0 +2024-09-06 00:00:00-04:00,375.2699890136719,380.8599853515625,366.9100036621094,370.92999267578125,381357,0.0,0.0 +2024-09-09 00:00:00-04:00,374.0,380.3699951171875,372.489990234375,378.1199951171875,374660,0.0,0.0 +2024-09-10 00:00:00-04:00,381.0,381.0,373.3949890136719,380.1600036621094,216044,0.0,0.0 +2024-09-11 00:00:00-04:00,381.1199951171875,394.2279968261719,373.8800048828125,392.8699951171875,440598,0.0,0.0 +2024-09-12 00:00:00-04:00,392.6300048828125,400.5350036621094,390.9549865722656,399.17999267578125,377673,0.0,0.0 +2024-09-13 00:00:00-04:00,402.7200012207031,408.82000732421875,402.0,404.6300048828125,351497,0.0,0.0 +2024-09-16 00:00:00-04:00,406.7300109863281,409.5799865722656,400.9765930175781,408.82000732421875,345050,0.0,0.0 +2024-09-17 00:00:00-04:00,409.9800109863281,413.8900146484375,403.5150146484375,411.2900085449219,399973,0.0,0.0 +2024-09-18 00:00:00-04:00,415.0,418.44000244140625,409.3999938964844,409.8599853515625,427543,0.0,0.0 +2024-09-19 00:00:00-04:00,419.0,424.54998779296875,411.3700866699219,422.5400085449219,430424,0.0,0.0 +2024-09-20 00:00:00-04:00,418.80999755859375,427.5299987792969,418.44000244140625,426.010009765625,690423,0.0,0.0 +2024-09-23 00:00:00-04:00,427.17999267578125,433.0325012207031,423.1000061035156,426.5899963378906,258181,0.0,0.0 +2024-09-24 00:00:00-04:00,426.0799865722656,428.79998779296875,419.92999267578125,424.8599853515625,322846,0.0,0.0 +2024-09-25 00:00:00-04:00,428.510009765625,428.510009765625,420.70001220703125,424.1300048828125,456953,0.0,0.0 +2024-09-26 00:00:00-04:00,430.6300048828125,432.6600036621094,424.6700134277344,427.95001220703125,308496,0.0,0.0 +2024-09-27 00:00:00-04:00,428.79998779296875,432.94500732421875,427.17840576171875,428.4800109863281,299122,0.0,0.0 +2024-09-30 00:00:00-04:00,426.7650146484375,431.54998779296875,425.3599853515625,428.3500061035156,468445,0.0,0.0 +2024-10-01 00:00:00-04:00,429.0299987792969,430.489990234375,421.75,427.2900085449219,281742,0.0,0.0 +2024-10-02 00:00:00-04:00,423.2900085449219,428.6000061035156,422.1600036621094,427.70001220703125,327209,0.0,0.0 diff --git a/stockapp/sample/get_history_kline.py b/stockapp/sample/get_history_kline.py index 4302572..6b4ca00 100644 --- a/stockapp/sample/get_history_kline.py +++ b/stockapp/sample/get_history_kline.py @@ -1,6 +1,6 @@ from futu import * quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) -ret, data, page_req_key = quote_ctx.request_history_kline('HK.09992', start='2021-10-03', end='2021-11-08', max_count=50) # 每页5个，请求第一页 +ret, data, page_req_key = quote_ctx.request_history_kline('HK.00700', autype=AuType.NONE, start='2021-10-03', end='2021-11-08', max_count=50) # 每页5个，请求第一页 if ret == RET_OK: print(data) print(data['code'][0]) # 取第一条的股票代码 diff --git a/stockapp/sample/get_personal_list.py b/stockapp/sample/get_personal_list.py new file mode 100644 index 0000000..9355b52 --- /dev/null +++ b/stockapp/sample/get_personal_list.py @@ -0,0 +1,12 @@ +from futu import * +quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) + +ret, data = quote_ctx.get_user_security("港股") +if ret == RET_OK: + print(data) + if data.shape[0] > 0: # 如果自选股列表不为空 + print(data['code'][0]) # 取第一条的股票代码 + print(data['code'].values.tolist()) # 转为 list +else: + print('error:', data) +quote_ctx.close() # 结束后记得关闭当条连接，防止连接条数用尽 diff --git a/stockapp/sample/get_rehab.py b/stockapp/sample/get_rehab.py new file mode 100644 index 0000000..e8b3cd8 --- /dev/null +++ b/stockapp/sample/get_rehab.py @@ -0,0 +1,11 @@ +from futu import * +quote_ctx = OpenQuoteContext(host='127.0.0.1', port=11111) + +ret, data = quote_ctx.get_rehab("US.AAPL") +if ret == RET_OK: + print(data) + print(data['ex_div_date'][0]) # 取第一条的除权除息日 + print(data['ex_div_date'].values.tolist()) # 转为 list +else: + print('error:', data) +quote_ctx.close() # 结束后记得关闭当条连接，防止连接条数用尽 diff --git a/stockapp/sample/get_yh_kline.py b/stockapp/sample/get_yh_kline.py new file mode 100644 index 0000000..7ba4c51 --- /dev/null +++ b/stockapp/sample/get_yh_kline.py @@ -0,0 +1,15 @@ +import yfinance as yf +import pandas as pd + +# 获取AAPL的股票数据 +stock = yf.Ticker("AAPL") + +# 获取过去十年的日K线数据（前复权） +hist_data = stock.history(period="10y", auto_adjust=False) + +# 打印数据前几行 +print(hist_data.head()) + +# 保存到CSV文件 +hist_data.to_csv("AAPL_10year_data.csv") + diff --git a/stockapp/sample/get_yh_kline_download.py b/stockapp/sample/get_yh_kline_download.py new file mode 100644 index 0000000..5342882 --- /dev/null +++ b/stockapp/sample/get_yh_kline_download.py @@ -0,0 +1,17 @@ +import yfinance as yf +import pandas as pd +from datetime import datetime, timedelta + +# 获取当前日期 +end_date = datetime.today().strftime('%Y-%m-%d') + +# 获取十年前的日期 +start_date = (datetime.today() - timedelta(days=365*10)).strftime('%Y-%m-%d') + +# 下载 AAPL 股票数据 +data = yf.download('AAPL', start=start_date, end=end_date) + +# 将数据保存为 CSV 文件 +data.to_csv('AAPL.csv') + +print(f"Downloaded AAPL stock data from {start_date} to {end_date} and saved to AAPL.csv") \ No newline at end of file diff --git a/stockapp/shell/stat.sql b/stockapp/shell/stat.sql new file mode 100644 index 0000000..5c0dcbc --- /dev/null +++ b/stockapp/shell/stat.sql @@ -0,0 +1,126 @@ + +-- 统计 year_diff = 10000 的所有记录中， win_rate 在不同区间的分布情况，给出每个区间的 行数，以及占整体的比例 +WITH filtered_data AS ( + SELECT win_rate + FROM hs300_5years_yield_stats_2410 + WHERE year_diff = 10000 +) +SELECT + CASE + WHEN win_rate >= 0.99995 THEN '100%' + WHEN win_rate >= 0.9 AND win_rate < 0.99995 THEN '90%～100%' + WHEN win_rate >= 0.5 AND win_rate < 0.9 THEN '50% ~ 90%' + WHEN win_rate >= 0.2 AND win_rate < 0.5 THEN '20% ~ 50%' + ELSE '20% 以下' + END AS win_rate_range, + ROUND(COUNT(*) / (SELECT COUNT(*) FROM filtered_data) * 100, 2) AS percentage, + COUNT(*) AS count +FROM filtered_data +GROUP BY win_rate_range +ORDER BY + CASE win_rate_range + WHEN '100%' THEN 1 + WHEN '90%～100%' THEN 2 + WHEN '50% ~ 90%' THEN 3 + WHEN '20% ~ 50%' THEN 4 + ELSE 5 + END; +; + +-- annual_median_yield_rate 代表了投资的年化回报率的中位数，我们想要统计在 year_diff = 10000 的所有记录中，中位数的分布情况。 +-- 首先把所有记录按照中位数降序排列，然后把所有记录的条数分成10等份，我们要输出的是 每一个等份下面，中位数的区间，以及等份的记录条数。 +WITH ranked_data AS ( + SELECT + annual_median_yield_rate, + NTILE(10) OVER (ORDER BY annual_median_yield_rate DESC) AS tile_rank + FROM sp500_5years_yield_stats_2410 + WHERE year_diff = 10000 +) +SELECT + MAX(annual_median_yield_rate) AS max_yield_rate, + MIN(annual_median_yield_rate) AS min_yield_rate, + COUNT(*) AS record_count +FROM ranked_data +GROUP BY tile_rank +ORDER BY tile_rank; + +-- max_deficit_days 是买入即亏损的最大时长。我们统计在 year_diff = 10000 的所有记录中，按照之前定义的胜率分布下，每一个胜率分布区间内，max_deficit_days 的最大值，最小值，和平均值。 +WITH filtered_data AS ( + SELECT win_rate, max_deficit_days + FROM sp500_5years_yield_stats_2410 + WHERE year_diff = 10000 +) +SELECT + CASE + WHEN win_rate >= 0.99995 THEN '100%' + WHEN win_rate >= 0.9 AND win_rate < 0.99995 THEN '90%～100%' + WHEN win_rate >= 0.5 AND win_rate < 0.9 THEN '50% ~ 90%' + WHEN win_rate >= 0.2 AND win_rate < 0.5 THEN '20% ~ 50%' + ELSE '20% 以下' + END AS win_rate_range, + MAX(max_deficit_days) AS max_deficit, + MIN(max_deficit_days) AS min_deficit, + ROUND(AVG(max_deficit_days), 2) AS avg_deficit +FROM filtered_data +GROUP BY win_rate_range +ORDER BY + CASE win_rate_range + WHEN '100%' THEN 1 + WHEN '90%～100%' THEN 2 + WHEN '50% ~ 90%' THEN 3 + WHEN '20% ~ 50%' THEN 4 + ELSE 5 + END; + + +-- 提取 year_diff = 10000 的所有记录中，win_rate >= 0.99995 的所有记录的 code, name, max_yield_rate, median_yield_rate, annual_max_yield_rate, annual_median_yield_rate, max_deficit_days +SELECT + code, + name, + max_yield_rate, + median_yield_rate, + annual_max_yield_rate, + annual_median_yield_rate, + max_deficit_days +FROM hs300_5years_yield_stats_2410 +WHERE year_diff = 10000 + AND win_rate >= 0.99995; + + +-- 对每个不同的 code，统计不同 year_diff （year_diff != 10000）下的最大 annual_median_yield_rate 对应的 year_diff ，我们就得到了 code , 最优 year_diff 的结果；然后对 year_diff 进行分组统计对应的行数，以及占总行数的比例。 +WITH best_year_diff_per_code AS ( + SELECT code, + year_diff, + annual_median_yield_rate, + RANK() OVER (PARTITION BY code ORDER BY annual_median_yield_rate DESC) AS rank_by_yield + FROM sp500_5years_yield_stats_2410 + WHERE year_diff != 10000 +) +SELECT + year_diff, + ROUND(COUNT(*) / (SELECT COUNT(*) FROM best_year_diff_per_code WHERE rank_by_yield = 1) * 100, 2) AS percentage, + COUNT(*) AS record_count +FROM best_year_diff_per_code +WHERE rank_by_yield = 1 +GROUP BY year_diff +ORDER BY year_diff; + + + +-- 对每个不同的 code，统计不同 year_diff （year_diff != 10000）下的最大 annual_median_yield_rate 对应的 year_diff ，我们就得到了 code , 最优 year_diff 的结果；输出这个结果。 +WITH best_year_diff_per_code AS ( + SELECT + code, + year_diff, + annual_median_yield_rate, + RANK() OVER (PARTITION BY code ORDER BY annual_median_yield_rate DESC) AS rank_by_yield + FROM sp500_5years_yield_stats_2410 + WHERE year_diff != 10000 +) +SELECT + code, + year_diff AS best_year_diff, + annual_median_yield_rate AS max_annual_median_yield_rate +FROM best_year_diff_per_code +WHERE rank_by_yield = 1 +ORDER BY code; \ No newline at end of file diff --git a/stockapp/stat_adjust_kline.py b/stockapp/stat_adjust_kline.py new file mode 100644 index 0000000..9ee42c9 --- /dev/null +++ b/stockapp/stat_adjust_kline.py @@ -0,0 +1,189 @@ +import pymysql +import logging +import sys +import time +import config +import argparse + +# 配置不同市场的表名管理 +tables_mapping = { + 'sp500': { + 'none_his_kline': 'sp500_his_kline_none', + 'adjust_his_kline': 'sp500_ajust_kline_202410', + 'rehab_table': 'futu_rehab' + }, + 'hs300': { + 'none_his_kline': 'hs300_his_kline_none', + 'adjust_his_kline': 'hs300_ajust_kline_202410', + 'rehab_table': 'futu_rehab' + } +} + +# 日志配置 +config.setup_logging("./log/stat_adjust_kline.log") +logger = logging.getLogger() + +# MySQL数据库连接 +def connect_to_db(): + try: + return pymysql.connect( + **config.db_config, + cursorclass=pymysql.cursors.DictCursor + ) + except pymysql.MySQLError as e: + logger.error(f"Error connecting to the database: {e}", exc_info=True) + return None + +# 从指定市场表中读取code和code_name字段 +def fetch_codes_from_market_table(market, debug=False): + db = connect_to_db() + if db is None: + logger.error("Failed to connect to database.") + return [] + + try: + with db.cursor() as cursor: + query = f"SELECT code, code_name FROM {market}" + if debug: + query += " LIMIT 2" + cursor.execute(query) + codes = cursor.fetchall() + return codes + finally: + db.close() + +# 读取复权因子数据 +def fetch_rehab_data(db, code): + try: + with db.cursor() as cursor: + cursor.execute(f"SELECT ex_div_date, forward_adj_factorA, forward_adj_factorB, backward_adj_factorA, backward_adj_factorB FROM futu_rehab WHERE code = %s ORDER BY ex_div_date DESC", (code,)) + return cursor.fetchall() + except pymysql.MySQLError as e: + logger.error(f"Error fetching rehab data for {code}: {e}", exc_info=True) + return [] + +# 读取不复权的股票价格数据 +def fetch_kline_none_data(db, table_name, code): + try: + with db.cursor() as cursor: + cursor.execute(f"SELECT code, time_key, open, close FROM {table_name} WHERE code = %s ORDER BY time_key ASC", (code,)) + return cursor.fetchall() + except pymysql.MySQLError as e: + logger.error(f"Error fetching kline none data for {code}: {e}", exc_info=True) + return [] + +# 插入前后复权价格到数据库 +def insert_hfq_data(db, hfq_data, hfq_table): + try: + with db.cursor() as cursor: + insert_query = f""" + INSERT INTO {hfq_table} (code, name, time_key, hfq_open, hfq_close, qfq_open, qfq_close, none_open, none_close) + VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s) + ON DUPLICATE KEY UPDATE + hfq_open = VALUES(hfq_open), + hfq_close = VALUES(hfq_close), + qfq_open = VALUES(qfq_open), + qfq_close = VALUES(qfq_close), + none_open = VALUES(none_open), + none_close = VALUES(none_close) + """ + cursor.executemany(insert_query, hfq_data) + db.commit() + except pymysql.MySQLError as e: + logger.error(f"Error inserting hfq data: {e}", exc_info=True) + +# 计算后复权价格和前复权价格 +def calculate_hfq_qfq_price(market, debug=False): + db = connect_to_db() + if db is None: + return + + # 获取表名 + table_names = tables_mapping[market] + none_his_kline_table = table_names['none_his_kline'] + adjust_kline_table = table_names['adjust_his_kline'] + + # 获取股票代码 + codes = fetch_codes_from_market_table(market, debug) + + for row in codes: + code = row['code'] + name = row['code_name'] + + # 如果是 sp500 市场，拼接 'US.' + code + rehab_code = code + if market == 'sp500': + rehab_code = 'US.' + code + + logger.info(f"Processing {code} ({name})...") + + # 获取复权因子数据 + rehab_res = fetch_rehab_data(db, rehab_code) + if not rehab_res: + logger.warning(f"No rehab data found for {code}") + continue + + # 反转复权因子行，为了计算前复权 + rehab_res_asc = list(reversed(rehab_res)) + + # 获取不复权的价格数据 + kline_none = fetch_kline_none_data(db, none_his_kline_table, code) + if not kline_none: + logger.warning(f"No kline none data found for {code}") + continue + + hfq_data = [] + # 遍历kline_none，计算前后复权价格 + for kline_row in kline_none: + none_open = kline_row['open'] + none_close = kline_row['close'] + time_key = kline_row['time_key'] + + # 将 time_key 转换为 date 格式 + time_key_date = time_key.date() + + # 计算后复权价格 + hfq_open = none_open + hfq_close = none_close + tmp_close = none_close + tmp_open = none_open + for rehab_row in rehab_res: + if rehab_row['ex_div_date'] <= time_key_date: + hfq_close = (tmp_close * rehab_row['backward_adj_factorA']) + rehab_row['backward_adj_factorB'] + hfq_open = (tmp_open * rehab_row['backward_adj_factorA']) + rehab_row['backward_adj_factorB'] + tmp_close = hfq_close + tmp_open = hfq_open + + # 计算前复权价格 + qfq_close = none_close + qfq_open = none_open + tmp_close = none_close + tmp_open = none_open + zeroFactorB = True if market == 'sp500' else False + for rehab_row in rehab_res_asc: + factorB = 0 if zeroFactorB else rehab_row['forward_adj_factorB'] + if rehab_row['ex_div_date'] > time_key_date: + qfq_close = (tmp_close * rehab_row['forward_adj_factorA']) + factorB + qfq_open = (tmp_open * rehab_row['forward_adj_factorA']) + factorB + tmp_close = qfq_close + tmp_open = qfq_open + + # 保存计算后的复权价格 + hfq_data.append((code, name, time_key, hfq_open, hfq_close, qfq_open, qfq_close, none_open, none_close)) + + # 插入后复权价格数据 + insert_hfq_data(db, hfq_data, adjust_kline_table) + logger.info(f"Inserted HFQ/QFQ data for {code} ({name})") + time.sleep(1) + + db.close() + +if __name__ == "__main__": + # 命令行参数处理 + parser = argparse.ArgumentParser(description='Calculate HFQ and QFQ Prices for Market') + parser.add_argument('--market', type=str, default='hs300', help='Market to process (sp500 or hs300)') + parser.add_argument('--debug', action='store_true', help='Enable debug mode (limit records)') + args = parser.parse_args() + + # 调用主函数 + calculate_hfq_qfq_price(args.market, args.debug) \ No newline at end of file diff --git a/stockapp/stat_yield_rate.py b/stockapp/stat_yield_rate.py index 0129c97..bdb8d2b 100644 --- a/stockapp/stat_yield_rate.py +++ b/stockapp/stat_yield_rate.py @@ -10,11 +10,17 @@ import argparse default_min_stat_years = 5 allowed_min_stat_years = [3, 5] # 允许的年份统计范围 default_debug = False +default_market_key = "hs300" +allowed_market_keys = ['hs300', 'sp500'] # 配置命令行参数 def parse_arguments(): parser = argparse.ArgumentParser(description="Run stock yield statistics.") + # 添加 min_stat_years 参数 + parser.add_argument('--market', type=str, choices=allowed_market_keys, + help=f'Set market key for statistics (allowed: {allowed_market_keys}). Default is {default_market_key}.') + # 添加 min_stat_years 参数 parser.add_argument('--min_stat_years', type=int, choices=allowed_min_stat_years, help=f'Set minimum years for statistics (allowed: {allowed_min_stat_years}). Default is {default_min_stat_years}.') @@ -27,18 +33,19 @@ def parse_arguments(): # 如果没有提供 --min_stat_years，使用默认值 min_stat_years = args.min_stat_years if args.min_stat_years else default_min_stat_years debug = args.debug if args.debug else default_debug + market_key = args.market if args.market else default_market_key - return min_stat_years, debug + return min_stat_years, debug, market_key # 获取用户输入的参数 -min_stat_years, debug = parse_arguments() +min_stat_years, debug, market_key = parse_arguments() # 配置日志格式 formatter = logging.Formatter('%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] - %(message)s') # 动态生成日志文件名，基于 min_stat_years 的值 -log_filename = f'./log/stat_yield_{min_stat_years}years_rate.log' +log_filename = f'./log/stat_yield_{market_key}_{min_stat_years}years_rate.log' file_handler = logging.FileHandler(log_filename) file_handler.setFormatter(formatter) @@ -65,7 +72,7 @@ table_mapping = { }, "sp500": { "codes": "sp500", - "his_data": "sp500_qfq_his", + "his_data": "sp500_qfq_his_202410", "stat_res": f"sp500_{min_stat_years}years_yield_stats_2410" } } @@ -272,4 +279,4 @@ def main(index_name): connection.close() if __name__ == "__main__": - main("hs300") \ No newline at end of file + main(market_key) \ No newline at end of file