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stockapp/data/000510cons.csv

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+20241018,000510,中证A500,CSI A500,000001,平安银行,"Ping An Bank Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000002,万科A,China Vanke Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000009,中国宝安,"China Baoan Group Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000034,神州数码,"Digital China Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000035,中国天楹,China Tianying Inc.,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000039,中集集团,China International Marine Containers (Group) Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000063,中兴通讯,ZTE Corporation,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000066,中国长城,"CHINA GREATWALL TECHNOLOGY GROUP CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000069,华侨城A,Shenzhen Overseas Chinese Town Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000100,TCL科技,TCL Technology Group Corporation,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000157,中联重科,Zoomlion Heavy Industry Science & Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000301,东方盛虹,"Jiangsu Eastern Shenghong Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000333,美的集团,"Midea Group CO., LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000338,潍柴动力,Wei Chai Power Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000400,许继电气,XJ Electric Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000408,藏格矿业,ZANGGE MINING COMPANY LIMITED,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000423,东阿阿胶,Shandong Dong-Ee Jiao Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000425,徐工机械,XCMG Construction Machinery Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000519,中兵红箭,"NORTH INDUSTRIES GROUP RED ARROW CO.,LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000538,云南白药,"Yunnan Baiyao Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000547,航天发展,"Addsino Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000568,泸州老窖,Luzhou Lao Jiao Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000591,太阳能,"CECEP Solar Energy Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000617,中油资本,CNPC Capital Company Limited,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000623,吉林敖东,"Jilin Aodong Pharmaceutical Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000625,长安汽车,Chongqing Changan Automobile Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000629,钒钛股份,"Pangang Group Vanadium Titanium & Resources Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000630,铜陵有色,Tongling Nonferrous Metals Group Co. Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000651,格力电器,"Gree Electric Appliances,Inc. of Zhuhai",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000661,长春高新,Chang Chun High and New Technology Industry (Group) Inc.,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000683,远兴能源,"Inner Mongolia Yuan Xing Energy Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000690,宝新能源,"Guangdong Baolihua New Energy Stock Co.,Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000708,中信特钢,"CITIC Pacific Special Steel Group Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000725,京东方A,BOE Technology Group Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000733,振华科技,China Zhenhua (Group) Science & Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000738,航发控制,"AECC AERO-ENGINE CONTROL CO.,LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000768,中航西飞,AVIC XI'AN AIRCRAFT INDUSTRY GROUP COMPANY LTD.,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000786,北新建材,Beijing New Building Materials Public Ltd Co,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000792,盐湖股份,Qinghai Salt Lake Industry Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000807,云铝股份,Yunnan Aluminium Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000818,航锦科技,"HANGJIN TECHNOLOGY CO.,LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000830,鲁西化工,"Luxi Chemical Group Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000831,中国稀土,"CHINA RARE EARTH RESOURCES AND TECHNOLOGY CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000858,五 粮 液,Wuliangye Yibin Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000878,云南铜业,Yunnan Copper Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000887,中鼎股份,"Anhui Zhongding Sealing Parts Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000932,华菱钢铁,Hunan Valin Steel Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000933,神火股份,Henan Shen Huo Coal Industry and Electricity Power Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000938,紫光股份,"Unisplendour Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000960,锡业股份,Yunnan Tin Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000963,华东医药,Huadong Medicine Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000967,盈峰环境,Infore Environment Technology Group Co. Ltd.,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000975,山金国际,"Shanjin International Gold Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000977,浪潮信息,"Inspur Electronic Information Industry Co.,Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000988,华工科技,Huagong Tech Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000998,隆平高科,Yuan Longping High-tech Agriculture Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,000999,华润三九,China Resources Sanjiu Medical & Pharmaceutical Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,001914,招商积余,"China Merchants Property Operation & Service Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,001979,招商蛇口,"CHINA MERCHANTS SHEKOU INDUSTRIAL ZONE HOLDINGS CO.,LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002001,新和成,Zhejiang NHU Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002007,华兰生物,Hualan Biological Engineering INC,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002008,大族激光,"Han's Laser Technology Industry Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002025,航天电器,Guizhou Space Appliance Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002027,分众传媒,"Focus Media Information Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002028,思源电气,"Siyuan Electric Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002044,美年健康,"Meinian Onehealth Healthcare Holdings Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002049,紫光国微,"Unigroup Guoxin Microelectronics Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002050,三花智控,"ZHEJIANG SANHUA INTELLIGENT CONTROLS CO.,LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002064,华峰化学,"Huafon Chemical Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002065,东华软件,"DHC Software Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002074,国轩高科,"GUOXUAN HIGH-TECH CO.,LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002078,太阳纸业,Shan Dong Sun Paper Industry Joint Stock Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002080,中材科技,Sinoma Science & Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002081,金螳螂,Suzhou Gold Mantis Construction Decoration Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002085,万丰奥威,"Zhejiang Wanfeng Auto Wheel Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002091,江苏国泰,"Jiangsu Guotai International Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002120,韵达股份,"YUNDA Holding CO., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002123,梦网科技,"MONTNETS CLOUD TECHNOLOGY GROUP CO.,LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002129,TCL中环,"TCL Zhonghuan Renewable Energy Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002131,利欧股份,"LEO GROUP CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002138,顺络电子,Shenzhen Sunlord Electronics Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002145,中核钛白,CNNC Hua Yuan Titanium Dioxide Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002151,北斗星通,Beijing Bdstar Navigation Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002152,广电运通,GRG Banking Equipment Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002156,通富微电,"TongFu Microelectronics Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002176,江特电机,Jiangxi Special Electric Motor Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002179,中航光电,"AVIC Jonhon Optronic Technology Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002180,纳思达,Ninestar Corporation,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002185,华天科技,Tianshui Huatian Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002192,融捷股份,"YOUNGY Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002195,岩山科技,"Shanghai Stonehill Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002202,金风科技,"GOLDWIND SCIENCE & TECHNOLOGY CO.,LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002212,天融信,Topsec Technologies Group Inc.,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002223,鱼跃医疗,Jiangsu Yuyue Medical Equipment & Supply Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002230,科大讯飞,"Iflytek Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002236,大华股份,Zhejiang Dahua Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002240,盛新锂能,"Shenzhen Chengxin Lithium Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002241,歌尔股份,GoerTek Inc,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002245,蔚蓝锂芯,Jiangsu Azure Corporation,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002252,上海莱士,Shanghai RAAS Blood Products Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002266,浙富控股,"ZHEFU HOLDING GROUP CO., LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002268,电科网安,"CETC Cyberspace Security Technology Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002271,东方雨虹,Beijing Oriental Yuhong Waterproof Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002273,水晶光电,"Zhejiang Crystal-Optech Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002281,光迅科技,Accelink Technologies Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002292,奥飞娱乐,Alpha Group,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002294,信立泰,Shenzhen Salubris Pharmaceuticals Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002304,洋河股份,Jiangsu Yanghe Brewery Joint-Stock Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002312,川发龙蟒,"Sichuan Development Lomon Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002340,格林美,Shenzhen Green Eco-manufacture Hi-tech Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002352,顺丰控股,"S.F. Holding Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002353,杰瑞股份,Yantai Jereh Oilfield Services Group Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002368,太极股份,Taiji Computer Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002371,北方华创,"NAURA Technology Group Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002372,伟星新材,Zhejiang Weixing New Building Materials Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002384,东山精密,Suzhou Dongshan Precision Manufacturing Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002389,航天彩虹,"Aerospace CH UAV Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002396,星网锐捷,Fujian Star-net Communication Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002405,四维图新,NavInfo Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002407,多氟多,Do-Fluoride Chemicals Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002409,雅克科技,Jiangsu Yoke Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002410,广联达,Glodon Software Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002414,高德红外,Wuhan Guide Infrared Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002415,海康威视,Hangzhou Hikvision Digital Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002422,科伦药业,Sichuan Kelun Pharmaceutical Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002432,九安医疗,Andon Health Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002436,兴森科技,Shenzhen Fastprint Circuit Tech Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002439,启明星辰,Beijing Venustech Inc.,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002444,巨星科技,Hangzhou Great Star Industrial Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002456,欧菲光,"OFILM Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002459,晶澳科技,"JA Solar Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002460,赣锋锂业,Ganfeng Lithium Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002463,沪电股份,Wus Printed Circuit (Kunshan) Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002465,海格通信,Guangzhou Haige Communications Group Incorporated Company,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002466,天齐锂业,"Tianqi Lithium Industries, Inc.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002472,双环传动,Zhejiang Shuanghuan Driveline Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002475,立讯精密,"Luxshare Precision Industry Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002493,荣盛石化,Rongsheng Petro Chemical Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002497,雅化集团,Sichuan Yahua Industrial Group Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002508,老板电器,Hangzhou Robam Appliances Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002511,中顺洁柔,C&S Paper Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002517,恺英网络,Taiya Shoes Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002532,天山铝业,"TIANSHAN ALUMINUM GROUP CO.,LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002541,鸿路钢构,Anhui Honglu Steel Construction (Group) Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002544,普天科技,"CETC POTEVIO SCIENCE&TECHNOLOGY CO.,LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002555,三七互娱,"WUHU SANQI INTERACTIVE ENTERTAINMENT NETWORK TECHNOLOGY GROUP CO.,LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002558,巨人网络,"Giant Network Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002572,索菲亚,Suofeiya Home Collection Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002594,比亚迪,BYD Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002601,龙佰集团,"LB Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002602,世纪华通,"ZHEJIANG CENTURY HUATONG GROUP CO., LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002603,以岭药业,Shijiazhuang Yiling Pharmaceutical Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002607,中公教育,"Offcn Education Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002624,完美世界,"Perfect World Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002625,光启技术,"Kuang-Chi Technologies Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002648,卫星化学,"SATELLITE CHEMICAL CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002709,天赐材料,"Guangzhou Tinci Materials Technology Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002714,牧原股份,"Muyuan Foodstuff Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002738,中矿资源,"Sinomine Resource Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002739,万达电影,"WANDA FILM HOLDING CO., LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002756,永兴材料,"Yongxing Special Materials Technology Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002791,坚朗五金,"Guangdong KinLong Hardware Products Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002812,恩捷股份,"Yunnan Energy New Material Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002821,凯莱英,"Asymchem Laboratories (Tianjin) Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002831,裕同科技,"ShenZhen YUTO Packaging Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002841,视源股份,Guangzhou Shiyuan Electronic Technology Company Limited,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002916,深南电路,"Shennan Circuits Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002920,德赛西威,"Huizhou Desay SV Automotive Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,002938,鹏鼎控股,"Avary Holding (Shenzhen) Co., Limited",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,003816,中国广核,"CGN Power Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300001,特锐德,Qingdao TGOOD Electric Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300002,神州泰岳,Beijing Ultrapower Software Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300003,乐普医疗,Lepu Medical Technology (Beijing) Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300012,华测检测,"CENTRE TESTING INTERNATIONAL GROUP CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300014,亿纬锂能,Eve Energy Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300015,爱尔眼科,Aier Eye Hospital Group Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300017,网宿科技,"Wangsu Science and Technology Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300024,机器人,Siasun Robot & Automation Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300033,同花顺,"Hithink Royalflush Information Network Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300037,新宙邦,Shenzhen Capchem Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300054,鼎龙股份,"Hubei Dinglong CO.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300058,蓝色光标,"Bluefocus Data Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300059,东方财富,East Money Information Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300068,南都电源,Zhejiang Narada Power Source Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300070,碧水源,Beijing Originwater Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300073,当升科技,Beijing Easpring Material Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300088,长信科技,Wuhu Token Science Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300118,东方日升,Risen Energy Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300122,智飞生物,Chongqing Zhifei Biological Products Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300124,汇川技术,Shenzhen Inovance Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300133,华策影视,Zhejiang Huace Film & TV Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300136,信维通信,Shenzhen Sunway Communication Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300142,沃森生物,Walvax Biotechnology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300144,宋城演艺,"SONGCHENG PERFORMANCE DEVELOPMENT CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300182,捷成股份,Beijing Jetsen Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300207,欣旺达,Sunwoda Electronic Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300212,易华录,"BEIJING E-HUALU INFORMATION TECHNOLOGY CO., LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300223,北京君正,Ingenic Semiconductor Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300251,光线传媒,Beijing Enlight Media Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300253,卫宁健康,"Winning Health Technology Group Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300274,阳光电源,Sungrow Power Supply Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300285,国瓷材料,"Shandong Sinocera Functional Material Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300296,利亚德,"Leyard Optoelectronic Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300308,中际旭创,"ZHONGJI INNOLIGHT CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300315,掌趣科技,"OURPALM CO., LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300316,晶盛机电,"Zhejiang Jingsheng Mechanical & Electrical Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300339,润和软件,"Jiangsu Hoperun Software Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300346,南大光电,"Jiangsu Nata Opto-electronic Material Co.,Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300347,泰格医药,"Hangzhou Tigermed Consulting Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300383,光环新网,"Beijing Sinnet Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300390,天华新能,"Canmax Technologies Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300394,天孚通信,"Suzhou TFC Optical Communication Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300395,菲利华,HUBEI FEILIHUA QUARTZ GLASS CO.LTD,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300408,三环集团,"CHAOZHOU THREE-CIRCLE(GROUP)CO.,LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300413,芒果超媒,"Mango Excellent Media Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300418,昆仑万维,"Beijing Kunlun Tech Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300433,蓝思科技,"Lens Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300438,鹏辉能源,"Guangzhou Great Power Energy&Technology Co.,ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300450,先导智能,"WUXI LEAD INTELLIGENT EQUIPMENT CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300454,深信服,Sangfor Technologies Inc.,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300457,赢合科技,"SHENZHEN YINGHE TECHNOLOGY CO.,LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300459,汤姆猫,"Zhejiang Jinke Tom Culture Industry Co., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300474,景嘉微,"Changsha Jingjia Microelectronics Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300496,中科创达,"Thunder Software Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300502,新易盛,"Eoptolink Technology Inc., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300529,健帆生物,"Jafron Biomedical Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300558,贝达药业,"Betta Pharmaceuticals Co.,Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300567,精测电子,"Wuhan Jingce Electronic Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300568,星源材质,"Shenzhen Senior Technology Material Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300573,兴齐眼药,"SHENYANG XINGQI PHARMACEUTICAL CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300595,欧普康视,AUTEK CHINA INC.,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300601,康泰生物,"Shenzhen Kangtai Biological Products Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300604,长川科技,"Hangzhou Chang Chuan Technology Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300627,华测导航,SHANGHAI HUACE NAVIGATION TECHNOLOGY LTD,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300628,亿联网络,YEALINK NETWORK TECHNOLOGY CORPORATION LIMITED,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300661,圣邦股份,SG Micro Corp.,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300676,华大基因,"BGI Genomics Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300699,光威复材,"Weihai Guangwei Composites Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300724,捷佳伟创,Shenzhen S.C New Energy Technology Corporation,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300750,宁德时代,"Contemporary Amperex Technology Co., Limited.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300751,迈为股份,"Suzhou Maxwell Technologies Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300759,康龙化成,"Pharmaron Beijing Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300760,迈瑞医疗,"Shenzhen Mindray Bio-Medical Electronics Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300763,锦浪科技,"Ginlong Technologies Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300769,德方纳米,"Shenzhen Dynanonic Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300782,卓胜微,Maxscend Microelectronics Company Limited,深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300832,新产业,"Shenzhen New Industries Biomedical Engineering Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300866,安克创新,"Anker Innovations Technology Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300896,爱美客,"IMEIK TECHNOLOGY DEVELOPMENT CO.,LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300919,中伟股份,"CNGR Advanced Material Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,300999,金龙鱼,"Yihai Kerry Arawana Holdings Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,301236,软通动力,"iSoftStone Information Technology (Group) Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,301558,三态股份,"SFC HOLDINGS CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,000510,中证A500,CSI A500,600000,浦发银行,Shanghai Pudong Development Bank Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600004,白云机场,Guangzhou Baiyun International Airport Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600007,中国国贸,China World Trade Center Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600008,首创环保,"Beijing Capital Eco-Environment Protection GroupCo.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600009,上海机场,Shanghai International Airport Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600010,包钢股份,Inner Mongolia Baotou Steel Union Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600011,华能国际,Huaneng Power International Inc,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600018,上港集团,Shanghai International Port (Group) Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600019,宝钢股份,Baoshan Iron &Steel Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600026,中远海能,"COSCO SHIPPING Energy Transportation Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600027,华电国际,Huadian Power International Corporation Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600028,中国石化,China Petroleum & Chemical Corporation,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600029,南方航空,China Southern Airlines Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600030,中信证券,CITIC Securities Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600031,三一重工,Sany Heavy Industry Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600036,招商银行,China Merchants Bank Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600038,中直股份,"AVIC Helicopter Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600039,四川路桥,Sichuan Road&Bridge Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600048,保利发展,"Poly Developments and Holdings Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600050,中国联通,China United Network Communications Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600066,宇通客车,Zhengzhou Yutong Bus Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600085,同仁堂,Beijing Tongrentang Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600089,特变电工,TBEA Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600096,云天化,Yunnan Yuntianhua Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600104,上汽集团,SAIC Motor Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600111,北方稀土,"China Northern Rare Earth (Group) High-Tech Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600115,中国东航,"China Eastern Airlines Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600118,中国卫星,China Spacesat Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600129,太极集团,Chongqing Taiji Industry (Group) Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600131,国网信通,"State Grid Information&Communication Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600141,兴发集团,Hubei Xingfa Chemicals Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600143,金发科技,Kingfa Sci&Tech Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600150,中国船舶,China CSSC Holdings Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600153,建发股份,Xiamen C&D Inc,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600157,永泰能源,"WINTIME ENERGY GROUP CO.,LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600160,巨化股份,Zhejiang Ju Hua Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600161,天坛生物,Beijing Tiantan Biological Products Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600166,福田汽车,Beiqi Foton Motor Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600167,联美控股,"Luenmei Holding Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600170,上海建工,Shanghai Construction Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600176,中国巨石,"CHINA JUSHI CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600177,雅戈尔,Youngor Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600183,生益科技,"Shengyi Technology Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600188,兖矿能源,Yankuang Energy Group Company Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600196,复星医药,Shanghai Fosun Pharmaceutical (Group) Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600219,南山铝业,"Shandong Nanshan Aluminium Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600233,圆通速递,"YTO Express Group Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600256,广汇能源,"GUANGHUI ENERGY CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600258,首旅酒店,"BTG Hotels (Group) Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600276,恒瑞医药,Jiangsu Hengrui Medicine Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600309,万华化学,"Wanhua Chemical Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600316,洪都航空,Jiangxi Hongdu Aviation Industry Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600323,瀚蓝环境,"Grandblue Environment Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600325,华发股份,Huafa Industrial Co Ltd Zhuhai,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600332,白云山,GUANGZHOU BAIYUNSHAN PHARMACEUTICAL HOLDINGS COMPANY LIMITED,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600346,恒力石化,"Hengli Petrochemical Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600352,浙江龙盛,Zhejiang Longsheng Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600362,江西铜业,Jiangxi Copper Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600372,中航机载,"AVIC Airborne Systems Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600392,盛和资源,"Shenghe Resources Holding Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600398,海澜之家,"Heilan Home Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600399,抚顺特钢,Fushun Special Steel Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600406,国电南瑞,"NARI Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600415,小商品城,Zhejiang China Commodities City Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600418,江淮汽车,Anhui Jianghuai Automobile Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600426,华鲁恒升,Shandong Hualu-Hengsheng Chemical Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600436,片仔癀,Zhangzhou Pientzehuang Pharmaceutical Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600438,通威股份,Tongwei Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600460,士兰微,Hangzhou Silan Microelectronics Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600482,中国动力,"China Shipbuilding Industry Group Power Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600486,扬农化工,Jiangsu Yangnong Chemical Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600489,中金黄金,Zhongjin Gold Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600497,驰宏锌锗,Yunnan Chihong Zinc&Germanium Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600498,烽火通信,Fiberhome Telecommunication Technologies Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600499,科达制造,"Keda Industrial Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600515,海南机场,"Hainan Airport Infrastructure Co., Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600516,方大炭素,"Fangda Carbon New Material Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600519,贵州茅台,Kweichow Moutai Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600521,华海药业,Zhejiang Huahai Pharmaceutical Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600529,山东药玻,Shandong Pharmaceutical Glass Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600535,天士力,"TASLY PHARMACEUTICAL GROUP CO.,LTD",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600547,山东黄金,Shandong Gold-Mining Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600549,厦门钨业,Xiamen Tungsten Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600563,法拉电子,"Xiamen Faratronic Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600570,恒生电子,Hundsun Technologies Inc.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600584,长电科技,"JCET Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600585,海螺水泥,Anhui Conch Cement Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600588,用友网络,"Yonyou Network Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600637,东方明珠,"Shanghai Oriental Pearl Media Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600655,豫园股份,"SHANGHAI YUYUAN TOURIST MART (GROUP) CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600660,福耀玻璃,"Fuyao Glass Industry Group Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600667,太极实业,Wuxi Taiji Industrial Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600674,川投能源,Sichuan Chuantou Energy Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600690,海尔智家,"Haier Smart Home Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600699,均胜电子,Ningbo Joyson Electronic Corp.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600704,物产中大,Zhejiang Material Industrial Zhongda Yuantong Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600741,华域汽车,HUAYU Automotive Systems Company Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600745,闻泰科技,"Wingtech Technology Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600754,锦江酒店,"Shanghai Jin Jiang International Hotels Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600755,厦门国贸,Xiamen International Trade Group Corp Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600760,中航沈飞,AVIC SHENYANG AIRCRAFT COMPANY LIMITED,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600763,通策医疗,TOPCHOICE MEDICAL CORPORATION,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600765,中航重机,Avic Heavy Machinery Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600771,广誉远,Topsun Science And Technology Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600795,国电电力,GD Power Development Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600803,新奥股份,"ENN Ecological Holdings Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600816,建元信托,"J-Yuan Trust Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600820,隧道股份,Shanghai Tunnel Engineering Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600839,四川长虹,Sichuan Changhong Electric Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600845,宝信软件,Shanghai Baosight Software Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600859,王府井,"Wangfujing Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600862,中航高科,"Avic Aviation High-Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600867,通化东宝,"Tonghua Dongbao Pharmaceutical Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600879,航天电子,"China Aerospace Times Electronics Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600884,杉杉股份,Ningbo Shanshan Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600885,宏发股份,"Hongfa Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600886,国投电力,"SDIC Power Holdings Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600887,伊利股份,Inner Mongolia Yili Industrial Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600893,航发动力,AVIC AVIATION ENGINE CORPORATION PLC.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600895,张江高科,Shanghai Zhangjiang Hi-tech Park Development Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600900,长江电力,China Yangtze Power Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600905,三峡能源,"China Three Gorges Renewables (Group) Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600919,江苏银行,"Bank of Jiangsu Co., Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600938,中国海油,CNOOC Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600941,中国移动,China Mobile Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600959,江苏有线,Jiangsu Broadcasting Cable Information Network Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600988,赤峰黄金,"Chifeng Jilong Gold Mining Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600989,宝丰能源,"Ningxia Baofeng Energy Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,600998,九州通,Jointown Pharmaceutical Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601006,大秦铁路,Daqin Railway Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601012,隆基绿能,"Longi Green Energy Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601021,春秋航空,"Spring Airlines Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601058,赛轮轮胎,"Sailun Group Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601088,中国神华,China Shenhua Energy Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601100,恒立液压,"Jiangsu Hengli Hydraulic CO., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601111,中国国航,Air China Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601117,中国化学,China National Chemical Engineering Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601155,新城控股,"Future Land Holdings Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601166,兴业银行,Industrial Bank,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601168,西部矿业,Western Mining Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601186,中国铁建,China Railway Construction Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601216,君正集团,"Inner Mongolia Junzheng Energy & Chemical Group Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601225,陕西煤业,Shaanxi Coal Industry Company Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601233,桐昆股份,Tongkun Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601238,广汽集团,"Guangzhou Automobile Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601288,农业银行,Agricultural Bank of China Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601318,中国平安,Ping An Insurance (Group) Company of China Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601319,中国人保,The People's Insurance Company (Group) of China Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601328,交通银行,Bank of Communications Co LTD,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601360,三六零,360 Security Technology Inc.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601390,中国中铁,China Railway Group Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601398,工商银行,Industrial and Commercial Bank of China Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601600,中国铝业,Aluminum Corporation of China Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601601,中国太保,China Pacific Insurance (Group) Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601607,上海医药,"Shanghai Pharmaceuticals Holding Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601615,明阳智能,MingYangSmartEnergyGroupLimited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601618,中国中冶,Metallurgical Corporation of China Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601628,中国人寿,China Life Insurance Company Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601633,长城汽车,Great Wall Motor Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601636,旗滨集团,Zhuzhou Kibing Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601658,邮储银行,"POSTAL SAVINGS BANK OF CHINA CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601668,中国建筑,China State Construction Engineering Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601669,中国电建,"Power Construction Corporation of China,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601677,明泰铝业,Henan Mingtai AL.Industrial Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601689,拓普集团,"Ningbo Tuopu Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601727,上海电气,Shanghai Electric Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601728,中国电信,China Telecom Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601766,中国中车,CRRC Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601799,星宇股份,Changzhou Xingyu Automotive Lighting Systems Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601800,中国交建,China Communications Construction Company Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601816,京沪高铁,"Beijing-Shanghai High Speed Railway Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601857,中国石油,PetroChina Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601866,中远海发,"COSCO SHIPPING Development Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601868,中国能建,China Energy Engineering Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601872,招商轮船,"China Merchants Energy Shipping Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601877,正泰电器,Zhejiang Chint Electrics Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601880,辽港股份,"Liaoning Port Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601888,中国中免,China Tourism Group Duty Free Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601899,紫金矿业,Zijin Mining Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601919,中远海控,"COSCO SHIPPING Holdings Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601966,玲珑轮胎,"Shandong Linglong Tyre Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601985,中国核电,"China National Nuclear Power Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601988,中国银行,Bank of China Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,601989,中国重工,China Shipbuilding Industry Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603000,人民网,"People.cn CO.,LTD",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603019,中科曙光,"Dawning Information Industry Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603077,和邦生物,"Sichuan Hebang Biotechnology Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603129,春风动力,"ZHEJIANGCFMOTOPOWERCO.,LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603156,养元饮品,"Hebei Yangyuan ZhiHui Beverage Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603236,移远通信,"Quectel Wireless Solutions Co., Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603259,药明康德,"WuXi AppTec Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603260,合盛硅业,"HOSHINE SILICON INDUSTRY CO.,LTD",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603288,海天味业,Foshan Haitian Flavouring and Food Company Ltd.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603290,斯达半导,StarPower Semiconductor Ltd.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603392,万泰生物,"BEIJING WANTAI BIOLOGICAL PHARMACY ENTERPRISE CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603444,吉比特,"G-bits Network Technology(Xiamen)Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603456,九洲药业,"Zhejiang Jiuzhou Pharmaceutical Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603486,科沃斯,"Ecovacs Robotics Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603501,韦尔股份,"Will Semiconductor CO.,Ltd. Shanghai",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603568,伟明环保,"ZHEJIANG WEIMING ENVIRONMENT PROTECTION CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603588,高能环境,"Beijing GeoEnviron Engineering & Technology, Inc..",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603596,伯特利,"Bethel Automotive Safety Systems Co., Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603605,珀莱雅,"Proya Cosmetics Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603606,东方电缆,"Ningbo Orient Wires & Cables Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603613,国联股份,"Beijing United Information Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603650,彤程新材,"Red Avenue New Materials Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603659,璞泰来,"Shanghai Putailai New Energy Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603688,石英股份,"JIANGSU PACIFIC QUARTZ CO., LTD",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603737,三棵树,"SKSHU Paint Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603799,华友钴业,"ZHEJIANG HUAYOU COBALT CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603806,福斯特,"HANGZHOU FIRST PV MATERIAL Co., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603816,顾家家居,"Jason Furniture (Hangzhou) Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603833,欧派家居,Oppein Home Group Inc.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603882,金域医学,"Guangzhou Kingmed Diagnostics Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603885,吉祥航空,"JUNEYAO AIRLINES Co., Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603899,晨光股份,SHANGHAI M&G STATIONERY INC.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603939,益丰药房,"Yifeng Pharmacy Chain Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603986,兆易创新,GigaDevice Semiconductor (Beijing) Inc.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,603993,洛阳钼业,"China Molybdenum Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,605117,德业股份,"Ningbo Deye Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,605358,立昂微,"Hangzhou Lion Electronics Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688002,睿创微纳,"Raytron Technology Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688005,容百科技,"Ningbo Ronbay New Energy Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688008,澜起科技,"Montage Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688009,中国通号,China Railway Signal & Communication Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688012,中微公司,Advanced Micro-Fabrication Equipment Inc. China,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688036,传音控股,"SHENZHEN TRANSSION HOLDINGS CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688041,海光信息,"Hygon Information Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688063,派能科技,"Pylon Technologies Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688072,拓荆科技,Piotech Inc.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688099,晶晨股份,"Amlogic (Shanghai) Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688111,金山办公,"Beijing Kingsoft Office Software, Inc.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688122,西部超导,"Western Superconducting Technologies Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688126,沪硅产业,"National Silicon Industry Group Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688169,石头科技,"Beijing Roborock Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688188,柏楚电子,SHANGHAI FRIENDESS ELECTRONICS TECHNOLOGY CORPORATION LIMITED,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688223,晶科能源,"Jinko Solar Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688271,联影医疗,"Shanghai United Imaging Healthcare Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688303,大全能源,"XinJiang Daqo New Energy Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688390,固德威,"Jiangsu GoodWe Power Supply Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688396,华润微,China Resources Microelectronics Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688536,思瑞浦,3PEAK INCORPORATED,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688598,金博股份,"KBC Corporation,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688599,天合光能,"Trina Solar Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688617,惠泰医疗,APT Medical Inc.,上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688777,中控技术,"SUPCON Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000510,中证A500,CSI A500,688981,中芯国际,Semiconductor Manufacturing International Corporation,上海证券交易所,Shanghai Stock Exchange

stockapp/data/000685cons.csv

@@ -0,0 +1,50 @@
+20241018,000685,科创芯片,STAR Chip Index,688001,华兴源创,"Suzhou HYC Technology Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688002,睿创微纳,"Raytron Technology Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688008,澜起科技,"Montage Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688012,中微公司,Advanced Micro-Fabrication Equipment Inc. China,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688019,安集科技,"Anji Microelectronics Technology (Shanghai) Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688037,芯源微,"KINGSEMI Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688041,海光信息,"Hygon Information Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688047,龙芯中科,Loongson Technology Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688048,长光华芯,"Suzhou Everbright Photonics Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688052,纳芯微,"Suzhou Novosense Microelectronics Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688072,拓荆科技,Piotech Inc.,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688082,盛美上海,"ACM Research (Shanghai) ,Inc.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688099,晶晨股份,"Amlogic (Shanghai) Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688106,金宏气体,"Jinhong Gas Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688107,安路科技,"Shanghai Anlogic Infotech Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688110,东芯股份,"Dosilicon Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688120,华海清科,"Hwatsing Technology Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688123,聚辰股份,Giantec Semiconductor Corporation,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688126,沪硅产业,"National Silicon Industry Group Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688141,杰华特,"JoulWatt Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688146,中船特气,"Peric Special Gases Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688153,唯捷创芯,"Vanchip (Tianjin) Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688172,燕东微,"Beijing YanDong MicroElectronic Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688200,华峰测控,"Beijing Huafeng Test & Control Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688213,思特威,"Smartsens Technology (Shanghai) Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688220,翱捷科技,"ASR Microelectronics Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688234,天岳先进,"SICC CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688249,晶合集成,Nexchip Semiconductor Corporation,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688256,寒武纪,Cambricon Technologies Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688279,峰岹科技,"Fortior Technology（Shenzhen）Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688347,华虹公司,HUA HONG SEMICONDUCTOR LIMITED,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688352,颀中科技,"Hefei Chipmore Technology Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688361,中科飞测,"Skyverse Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688362,甬矽电子,"Forehope Electronic (Ningbo) Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688385,复旦微电,"Shanghai Fudan Microelectronics Group CO.,LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688396,华润微,China Resources Microelectronics Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688409,富创精密,"Shenyang Fortune Precision Equipment Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688432,有研硅,"GRINM Semiconductor Materials Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688484,南芯科技,"Southchip Semiconductor Technology (Shanghai) Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688498,源杰科技,"Yuanjie Semiconductor Technology Co., Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688521,芯原股份,"VeriSilicon Microelectronics (Shanghai) Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688525,佰维存储,"Biwin Storage Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688536,思瑞浦,3PEAK INCORPORATED,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688582,芯动联科,Anhui XDLK Microsystem Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688596,正帆科技,"Shanghai Gentech Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688608,恒玄科技,"Bestechnic (Shanghai) Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688702,盛科通信,"Suzhou Centec Communications Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688728,格科微,GalaxyCore Inc.,上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688798,艾为电子,"Shanghai Awinic Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,000685,科创芯片,STAR Chip Index,688981,中芯国际,Semiconductor Manufacturing International Corporation,上海证券交易所,Shanghai Stock Exchange

stockapp/data/930050cons.csv

@@ -0,0 +1,50 @@
+20241018,930050,中证A50,CSI A50,000002,万科A,China Vanke Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,000063,中兴通讯,ZTE Corporation,深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,000333,美的集团,"Midea Group CO., LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,000725,京东方A,BOE Technology Group Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,000792,盐湖股份,Qinghai Salt Lake Industry Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,000938,紫光股份,"Unisplendour Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,002027,分众传媒,"Focus Media Information Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,002230,科大讯飞,"Iflytek Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,002271,东方雨虹,Beijing Oriental Yuhong Waterproof Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,002352,顺丰控股,"S.F. Holding Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,002371,北方华创,"NAURA Technology Group Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,002415,海康威视,Hangzhou Hikvision Digital Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,002466,天齐锂业,"Tianqi Lithium Industries, Inc.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,002594,比亚迪,BYD Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,002714,牧原股份,"Muyuan Foodstuff Co., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,300015,爱尔眼科,Aier Eye Hospital Group Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,300122,智飞生物,Chongqing Zhifei Biological Products Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,300124,汇川技术,Shenzhen Inovance Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,300408,三环集团,"CHAOZHOU THREE-CIRCLE(GROUP)CO.,LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,300750,宁德时代,"Contemporary Amperex Technology Co., Limited.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,300760,迈瑞医疗,"Shenzhen Mindray Bio-Medical Electronics Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,930050,中证A50,CSI A50,600009,上海机场,Shanghai International Airport Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600019,宝钢股份,Baoshan Iron &Steel Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600028,中国石化,China Petroleum & Chemical Corporation,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600030,中信证券,CITIC Securities Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600031,三一重工,Sany Heavy Industry Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600036,招商银行,China Merchants Bank Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600050,中国联通,China United Network Communications Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600276,恒瑞医药,Jiangsu Hengrui Medicine Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600309,万华化学,"Wanhua Chemical Group Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600406,国电南瑞,"NARI Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600426,华鲁恒升,Shandong Hualu-Hengsheng Chemical Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600436,片仔癀,Zhangzhou Pientzehuang Pharmaceutical Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600519,贵州茅台,Kweichow Moutai Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600585,海螺水泥,Anhui Conch Cement Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600660,福耀玻璃,"Fuyao Glass Industry Group Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600887,伊利股份,Inner Mongolia Yili Industrial Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600893,航发动力,AVIC AVIATION ENGINE CORPORATION PLC.,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,600900,长江电力,China Yangtze Power Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,601012,隆基绿能,"Longi Green Energy Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,601088,中国神华,China Shenhua Energy Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,601318,中国平安,Ping An Insurance (Group) Company of China Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,601668,中国建筑,China State Construction Engineering Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,601766,中国中车,CRRC Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,601888,中国中免,China Tourism Group Duty Free Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,601899,紫金矿业,Zijin Mining Group Co Ltd,上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,603259,药明康德,"WuXi AppTec Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,603605,珀莱雅,"Proya Cosmetics Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,603799,华友钴业,"ZHEJIANG HUAYOU COBALT CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,930050,中证A50,CSI A50,688981,中芯国际,Semiconductor Manufacturing International Corporation,上海证券交易所,Shanghai Stock Exchange

stockapp/data/931643cons.csv

@@ -0,0 +1,50 @@
+20241018,931643,科创创业50,STAR&CHINEXT 50,300014,亿纬锂能,Eve Energy Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300122,智飞生物,Chongqing Zhifei Biological Products Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300124,汇川技术,Shenzhen Inovance Technology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300142,沃森生物,Walvax Biotechnology Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300223,北京君正,Ingenic Semiconductor Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300274,阳光电源,Sungrow Power Supply Co Ltd,深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300308,中际旭创,"ZHONGJI INNOLIGHT CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300316,晶盛机电,"Zhejiang Jingsheng Mechanical & Electrical Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300347,泰格医药,"Hangzhou Tigermed Consulting Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300394,天孚通信,"Suzhou TFC Optical Communication Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300408,三环集团,"CHAOZHOU THREE-CIRCLE(GROUP)CO.,LTD",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300433,蓝思科技,"Lens Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300442,润泽科技,Range Intelligent Computing Technology Group Company Limited,深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300450,先导智能,"WUXI LEAD INTELLIGENT EQUIPMENT CO., LTD.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300502,新易盛,"Eoptolink Technology Inc., Ltd",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300628,亿联网络,YEALINK NETWORK TECHNOLOGY CORPORATION LIMITED,深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300661,圣邦股份,SG Micro Corp.,深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300750,宁德时代,"Contemporary Amperex Technology Co., Limited.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300751,迈为股份,"Suzhou Maxwell Technologies Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300759,康龙化成,"Pharmaron Beijing Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300760,迈瑞医疗,"Shenzhen Mindray Bio-Medical Electronics Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300782,卓胜微,Maxscend Microelectronics Company Limited,深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300832,新产业,"Shenzhen New Industries Biomedical Engineering Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,300919,中伟股份,"CNGR Advanced Material Co.,Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,301269,华大九天,"Empyrean Technology Co., Ltd.",深圳证券交易所,Shenzhen Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688008,澜起科技,"Montage Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688009,中国通号,China Railway Signal & Communication Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688012,中微公司,Advanced Micro-Fabrication Equipment Inc. China,上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688036,传音控股,"SHENZHEN TRANSSION HOLDINGS CO., LTD.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688041,海光信息,"Hygon Information Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688047,龙芯中科,Loongson Technology Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688072,拓荆科技,Piotech Inc.,上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688082,盛美上海,"ACM Research (Shanghai) ,Inc.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688111,金山办公,"Beijing Kingsoft Office Software, Inc.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688126,沪硅产业,"National Silicon Industry Group Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688169,石头科技,"Beijing Roborock Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688187,时代电气,"Zhuzhou CRRC Times Electric Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688188,柏楚电子,SHANGHAI FRIENDESS ELECTRONICS TECHNOLOGY CORPORATION LIMITED,上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688223,晶科能源,"Jinko Solar Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688256,寒武纪,Cambricon Technologies Corporation Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688271,联影医疗,"Shanghai United Imaging Healthcare Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688303,大全能源,"XinJiang Daqo New Energy Co.,Ltd",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688349,三一重能,"Sany Heavy Energy Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688396,华润微,China Resources Microelectronics Limited,上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688472,阿特斯,"CSI Solar Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688506,百利天恒,"Sichuan Biokin Pharmaceutical Co.,Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688599,天合光能,"Trina Solar Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688728,格科微,GalaxyCore Inc.,上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688777,中控技术,"SUPCON Technology Co., Ltd.",上海证券交易所,Shanghai Stock Exchange
+20241018,931643,科创创业50,STAR&CHINEXT 50,688981,中芯国际,Semiconductor Manufacturing International Corporation,上海证券交易所,Shanghai Stock Exchange

stockapp/result/stat_growth20241019.csv

@@ -0,0 +1,301 @@
+code,name,year_begin_date,year_begin_close,0924_date,0924_close,max_price_date,max_price,max_price_pe,max_pe_date,max_pe,min_price_date,min_price,min_price_pe,min_pe_date,min_pe,latest_date,latest_close,year_yield,yield_0924,total_market_val,pe_ttm_ratio,dividend_ratio_ttm,dividend_lfy_ratio,max_price_pct,max_price_pe_pct,min_price_pct,min_price_pe_pct,max_pe_pct,min_pe_pct
+SZ.000001,平安银行,2023-12-29,8.671000000000001,2024-09-23,10.04,2021-05-26,23.778,15.909,2021-02-01,17.661,2023-12-20,8.311,3.613,2023-12-20,3.613,2024-10-18,12.04,0.3885365009802788,0.19920318725099606,233647000000.0,5.018,8.01,0.0,0.5063504079401127,0.3154189452511157,1.4486824690169653,1.3888735123166343,0.2841288715248287,1.3888735123166343
+SZ.000002,万科A,2023-12-29,10.46,2024-09-23,6.93,2021-03-03,30.6063,9.609,2022-04-08,11.094,2024-08-28,6.22,7.165,2024-09-30,0.0,2024-10-18,9.37,-0.10420650095602313,0.352092352092352,111791000000.0,-14.779,0.0,0.0,0.30614612024321786,-1.5380372567384744,1.5064308681672025,-2.062665736217725,-1.3321615287542816,
+SZ.000063,中兴通讯,2023-12-29,25.797,2024-09-23,24.9,2023-06-30,44.857,25.37,2021-01-13,45.389,2022-10-11,19.437,13.316,2024-02-02,11.403,2024-10-18,30.88,0.19703841531961075,0.24016064257028114,147707000000.0,15.409,2.21,0.0,0.6884098357001137,0.6073709105242412,1.588722539486546,1.157179333133073,0.3394875410341713,1.351311058493379
+SZ.000100,TCL科技,2023-12-29,4.22,2024-09-23,3.73,2021-03-22,8.99093,32.715,2023-04-06,310.0,2022-09-29,3.20181,12.939,2023-04-28,0.0,2024-10-18,4.14,-0.018957345971563955,0.10991957104557626,77745400000.0,27.058,1.93,0.0,0.4604640454324524,0.8270823781140149,1.2930186363338236,2.091197155885308,0.08728387096774194,
+SZ.000157,中联重科,2023-12-29,6.21,2024-09-23,6.1,2021-03-01,14.4356,20.657,2023-07-19,27.725,2022-04-28,4.66563,10.218,2021-07-28,7.41,2024-10-18,6.93,0.11594202898550732,0.1360655737704919,60138500000.0,16.004,4.62,0.0,0.48006317714539054,0.7747494795952946,1.4853299554401012,1.5662556273243298,0.5772407574391344,2.1597840755735493
+SZ.000166,申万宏源,2023-12-29,4.384,2024-09-23,4.24,2021-09-13,6.364,19.848,2024-09-30,48.067,2022-10-10,3.734,11.61,2022-04-28,10.56,2024-10-18,5.35,0.22034671532846706,0.2617924528301885,133964000000.0,44.957,1.05,0.0,0.8406662476429918,2.2650644901249497,1.4327798607391535,3.8722652885443587,0.9352986456404602,4.257291666666666
+SZ.000301,东方盛虹,2023-12-29,9.5,2024-09-23,7.15,2021-09-13,38.6,134.31,2024-05-06,298.529,2024-09-18,6.99,0.0,2024-09-30,0.0,2024-10-18,8.17,-0.14,0.14265734265734253,54013600000.0,-77.809,1.22,0.0,0.2116580310880829,-0.5793239520512248,1.1688125894134478,,-0.2606413447269779,
+SZ.000333,美的集团,2023-12-29,51.65088,2024-09-23,67.6,2021-02-10,98.442,30.265,2021-02-10,30.265,2022-10-31,34.7509,9.501,2022-10-31,9.501,2024-10-18,75.01,0.4522501843143816,0.10961538461538489,573776000000.0,15.811,4.0,0.0,0.7619715162227506,0.5224186353874112,2.158505247346112,1.6641406167771815,0.5224186353874112,1.6641406167771815
+SZ.000338,潍柴动力,2023-12-29,13.35739,2024-09-23,12.61,2021-02-09,24.1027,22.071,2023-02-21,25.155,2022-10-31,8.40833,15.442,2024-09-13,9.279,2024-10-18,13.46,0.0076818899500576965,0.06740681998413978,117459000000.0,10.657,4.94,0.0,0.5584436598389393,0.48285079969190337,1.6007934988279482,0.6901308120709753,0.42365334923474457,1.1485073822610194
+SZ.000408,藏格矿业,2023-12-29,24.28665,2024-09-23,23.91,2021-12-31,36.2997,80.078,2021-04-08,11340.0,2021-01-11,2.8797,57.862,2023-04-25,6.024,2024-10-18,27.1,0.11583936030699982,0.1334169803429528,42829800000.0,15.913,3.91,0.0,0.7465626437684059,0.19871874921951097,9.410702503733027,0.2750164183747537,0.00140326278659612,2.6416002656042497
+SZ.000425,徐工机械,2023-12-29,5.28,2024-09-23,6.6,2024-05-09,7.84,17.549,2023-03-02,25.152,2022-10-10,4.04011,12.485,2022-03-15,6.564,2024-10-18,7.84,0.48484848484848486,0.18787878787878798,92638700000.0,17.006,2.3,0.0,1.0,0.969058065986666,1.9405412228874954,1.362114537444934,0.6761291348600509,2.5907982937233394
+SZ.000538,云南白药,2023-12-29,47.073,2024-09-23,50.22,2021-02-10,107.379,41.962,2021-02-10,41.962,2024-02-02,44.093,17.214,2024-02-02,17.214,2024-10-18,56.59,0.20217534467741594,0.12684189565909998,100971000000.0,22.663,3.67,0.0,0.5270117993276153,0.540083885420142,1.2834236726918105,1.3165446729406298,0.540083885420142,1.3165446729406298
+SZ.000568,泸州老窖,2023-12-29,174.01991999999998,2024-09-23,102.35,2021-02-10,299.07,81.218,2021-02-10,81.218,2024-09-18,100.02,10.379,2024-09-18,10.379,2024-10-18,135.24,-0.2228475912412785,0.32134831460674174,199069000000.0,14.034,3.99,0.0,0.45220182565954464,0.1727942081804526,1.352129574085183,1.3521533866461124,0.1727942081804526,1.3521533866461124
+SZ.000596,古井贡酒,2023-12-29,228.3,2024-09-23,145.63,2023-04-04,295.5,54.262,2021-01-05,77.656,2024-09-18,140.6,13.807,2024-09-18,13.807,2024-10-18,188.2,-0.17564607971966717,0.2923161436517201,99482500000.0,18.481,2.39,0.0,0.6368866328257191,0.3405882569754156,1.3385490753911806,1.3385239371333382,0.2379854743999176,1.3385239371333382
+SZ.000617,中油资本,2023-12-29,5.283,2024-09-23,5.14,2023-05-10,9.656,23.215,2023-05-10,23.215,2022-04-26,4.084,10.136,2021-07-28,8.385,2024-10-18,8.11,0.5351126254022334,0.5778210116731517,102527000000.0,25.264,1.44,0.0,0.8398922949461474,1.0882618996338573,1.985798237022527,2.492501973164957,1.0882618996338573,3.012999403697078
+SZ.000625,长安汽车,2023-12-29,16.487,2024-09-23,12.0,2023-11-28,21.137,19.76,2021-08-31,64.037,2022-04-26,6.2033,24.393,2024-02-05,10.846,2024-10-18,13.26,-0.19572996906653717,0.10499999999999998,131503000000.0,20.213,2.59,0.0,0.6273359511756635,1.0229251012145748,2.1375719375171283,0.8286393637518961,0.31564564236300885,1.8636363636363638
+SZ.000651,格力电器,2023-12-29,29.836260000000003,2024-09-23,41.43,2021-01-05,55.2452,24.116,2021-01-05,24.116,2022-04-26,23.7061,7.356,2022-11-03,6.411,2024-10-18,47.3,0.5853193396223251,0.14168476949070707,264946000000.0,8.691,5.03,0.0,0.8561829806028397,0.36038314811743244,1.9952670409725766,1.1814845024469822,0.36038314811743244,1.355638745905475
+SZ.000661,长春高新,2023-12-29,141.32639,2024-09-23,79.85,2021-05-17,512.931,62.29,2021-01-08,74.026,2024-09-10,78.9,7.797,2024-09-18,7.764,2024-10-18,102.69,-0.2733841146016679,0.28603631809643093,41311300000.0,10.096,4.38,0.0,0.20020236640015907,0.16208059078503773,1.3015209125475284,1.294856996280621,0.1363845135492935,1.3003606388459557
+SZ.000708,中信特钢,2023-12-29,13.47533,2024-09-23,10.63,2021-02-18,32.6553,29.467,2021-02-18,29.467,2024-09-13,10.34,9.654,2024-09-13,9.654,2024-10-18,12.39,-0.0805419978583084,0.16556914393226707,62534300000.0,11.568,4.56,0.0,0.3794177361714638,0.39257474462958564,1.19825918762089,1.1982597886886264,0.39257474462958564,1.1982597886886264
+SZ.000725,京东方A,2023-12-29,3.87,2024-09-23,3.8,2021-04-27,6.9729,50.827,2021-01-22,97.671,2022-09-29,3.14986,6.34,2022-04-26,5.461,2024-10-18,4.16,0.07493540051679592,0.09473684210526323,156624000000.0,38.165,0.72,0.0,0.5965953907269572,0.7508804375627127,1.3206936181290598,6.019716088328075,0.39075058103224086,6.988646767991209
+SZ.000733,振华科技,2023-12-29,57.726000000000006,2024-09-23,32.59,2022-07-07,137.321,39.138,2021-01-28,94.647,2024-09-23,32.59,11.491,2024-02-05,8.959,2024-10-18,46.89,-0.18771437480511388,0.4387849033445841,25985000000.0,16.533,2.38,0.0,0.3414627041748895,0.4224283305227656,1.438784903344584,1.4387781742233055,0.17468065548828807,1.845406853443465
+SZ.000768,中航西飞,2023-12-29,22.27,2024-09-23,22.51,2021-01-12,39.58,162.398,2021-01-12,162.398,2024-02-05,18.18,75.85,2024-09-19,64.46,2024-10-18,29.0,0.3022002694207455,0.2883163038649488,80670500000.0,84.548,0.34,0.0,0.7326932794340576,0.5206221751499402,1.5951595159515952,1.1146736980883323,0.5206221751499402,1.3116351225566245
+SZ.000776,广发证券,2023-12-29,13.99077,2024-09-23,12.46,2021-12-08,24.873,18.814,2021-12-08,18.814,2024-07-08,11.25,13.489,2021-07-09,10.348,2024-10-18,16.23,0.1600505190207544,0.3025682182985554,123690000000.0,18.195,1.85,0.0,0.652514775057291,0.9670989688529819,1.4426666666666668,1.3488768626288086,0.9670989688529819,1.7583107846926942
+SZ.000786,北新建材,2023-12-29,22.525,2024-09-23,25.02,2021-02-10,52.775,38.123,2021-02-10,38.123,2022-10-31,18.34,10.707,2024-09-13,10.202,2024-10-18,31.53,0.39977802441731414,0.26019184652278193,53270200000.0,13.865,2.65,0.0,0.5974419706300332,0.36369121003069016,1.7191930207197383,1.2949472307835994,0.36369121003069016,1.3590472456381102
+SZ.000792,盐湖股份,2023-12-29,15.95,2024-09-23,14.48,2021-08-23,43.76,115.767,2021-08-23,115.767,2024-08-23,13.59,11.148,2023-08-23,6.575,2024-10-18,17.21,0.07899686520376181,0.18853591160221006,93499800000.0,18.585,0.0,0.0,0.39328153564899454,0.16053797714374565,1.2663723325974983,1.667115177610334,0.16053797714374565,2.826615969581749
+SZ.000800,一汽解放,2023-12-29,8.35,2024-09-23,8.15,2021-09-13,11.31,14.858,2023-04-18,109.746,2022-04-26,6.78,9.045,2022-10-31,0.0,2024-10-18,8.56,0.025149700598802394,0.0503067484662576,39580300000.0,47.032,1.75,0.0,0.7568523430592397,3.1654327634944135,1.2625368731563422,5.199778883360972,0.42855320467260766,
+SZ.000807,云铝股份,2023-12-29,11.76,2024-09-23,12.15,2021-09-16,21.717,26.411,2021-03-15,49.068,2021-01-14,5.877,26.761,2022-09-28,7.825,2024-10-18,14.42,0.22619047619047628,0.18683127572016467,50007900000.0,10.083,3.19,0.0,0.6639959478749368,0.38177274620423307,2.4536328058533265,0.3767796420163671,0.20549033993641477,1.2885623003194888
+SZ.000858,五 粮 液,2023-12-29,135.64000000000001,2024-09-23,112.29,2021-02-19,330.345,68.893,2021-02-19,68.893,2024-09-18,107.69,12.97,2024-09-18,12.97,2024-10-18,143.0,0.05426127985844875,0.2734882892510464,555070000000.0,17.222,3.27,0.0,0.43288077615825876,0.2499818559215015,1.3278855975485189,1.3278334618350038,0.2499818559215015,1.3278334618350038
+SZ.000876,新 希 望,2023-12-29,9.32,2024-09-23,8.24,2021-02-22,27.3,17.432,2024-09-30,23.498,2024-02-05,8.0,0.0,2021-08-31,0.0,2024-10-18,9.35,0.0032188841201716833,0.13470873786407767,42503000000.0,21.106,0.0,0.0,0.3424908424908425,1.2107618173474073,1.16875,,0.8982041024768066,
+SZ.000895,双汇发展,2023-12-29,25.35,2024-09-23,23.38,2021-01-14,46.802,28.804,2021-01-14,28.804,2021-08-30,18.942,14.427,2021-07-29,14.196,2024-10-18,24.83,-0.020512820512820662,0.062018819503849354,86027500000.0,19.07,5.48,0.0,0.5305328832101192,0.6620608248854326,1.3108436279167985,1.3218271296873918,0.6620608248854326,1.3433361510284587
+SZ.000938,紫光股份,2023-12-29,19.21,2024-09-23,18.87,2023-06-20,36.66,47.3,2023-06-20,47.3,2022-04-26,14.26,19.307,2022-04-26,19.307,2024-10-18,24.52,0.27641853201457556,0.29941706412294633,70129200000.0,33.681,0.57,0.0,0.6688488816148391,0.7120718816067653,1.7194950911640954,1.7444968146268194,0.7120718816067653,1.7444968146268194
+SZ.000963,华东医药,2023-12-29,40.53,2024-09-23,28.08,2021-05-31,51.08,38.027,2022-07-04,38.161,2021-02-05,23.26,14.619,2021-02-05,14.619,2024-10-18,32.99,-0.18603503577596836,0.17485754985754998,57873100000.0,18.659,2.82,0.0,0.6458496476115897,0.49067767638782966,1.4183147033533965,1.2763526917025787,0.48895469196299884,1.2763526917025787
+SZ.000977,浪潮信息,2023-12-29,33.07,2024-09-23,32.21,2023-06-20,64.7209,48.908,2024-03-28,49.442,2022-10-10,18.6209,12.848,2022-10-10,12.848,2024-10-18,43.4,0.31236770486846077,0.3474076373796957,63890700000.0,30.911,0.3,0.0,0.6705716391459328,0.6320233908563017,2.3307144123001575,2.4058997509339974,0.625197200760487,2.4058997509339974
+SZ.000983,山西焦煤,2023-12-29,9.08,2024-09-23,7.64,2022-06-10,13.49,11.685,2021-09-09,24.474,2021-02-05,1.65,12.364,2023-07-24,4.721,2024-10-18,8.57,-0.056167400881057206,0.12172774869109948,48652800000.0,11.534,9.33,0.0,0.6352853965900668,0.9870774497218656,5.193939393939394,0.9328696214817211,0.4712756394541146,2.443126456259267
+SZ.000999,华润三九,2023-12-29,37.0999579,2024-09-23,38.0,2023-05-29,50.123,24.233,2023-03-16,26.29,2021-04-15,15.3517,14.589,2021-08-23,12.355,2024-10-18,45.57,0.22830328063525918,0.1992105263157895,58526700000.0,17.346,2.53,0.0,0.9091634578935819,0.7158007675483844,2.968400893712097,1.1889779971211185,0.6597945987067326,1.4039660056657224
+SZ.001289,龙源电力,2023-12-29,19.5875,2024-09-23,13.95,2022-03-09,29.5434,41.824,2022-03-09,41.824,2024-09-18,13.57,22.173,2024-08-27,21.273,2024-10-18,15.44,-0.2117421825143586,0.10681003584229387,129076000000.0,25.228,1.44,0.0,0.5226209576419776,0.603194338179036,1.137803979366249,1.137780183105579,0.603194338179036,1.185916419874959
+SZ.001965,招商公路,2023-12-29,9.238999999999999,2024-09-23,11.98,2024-08-22,13.0,13.211,2021-04-16,22.388,2021-02-04,4.982,17.719,2021-10-27,8.24,2024-10-18,11.79,0.27611213334776497,-0.015859766277128706,80411800000.0,12.067,4.5,0.0,0.9069230769230768,0.9134054954204829,2.366519470092332,0.6810203736102488,0.5389941039842773,1.4644417475728155
+SZ.001979,招商蛇口,2023-12-29,9.209999999999999,2024-09-23,9.65,2022-10-12,16.53,16.502,2023-08-04,29.47,2024-04-24,7.29,10.918,2021-11-08,4.548,2024-10-18,10.75,0.16720955483170474,0.11398963730569944,97404000000.0,17.451,2.98,0.0,0.6503327283726558,1.0575081808265665,1.4746227709190671,1.5983696647737682,0.5921615201900238,3.837071240105541
+SZ.002001,新和成,2023-12-29,16.51255,2024-09-23,18.82,2021-03-01,29.298,28.434,2021-03-01,28.434,2023-05-31,14.1554,15.252,2022-10-25,13.36,2024-10-18,23.9,0.44738395947324894,0.26992561105207225,73872700000.0,21.57,1.88,0.0,0.8157553416615468,0.7585988605190969,1.6884015993896322,1.414240755310779,0.7585988605190969,1.6145209580838324
+SZ.002007,华兰生物,2023-12-29,21.83,2024-09-23,14.1,2021-02-10,52.88,76.676,2021-02-10,76.676,2024-09-13,13.84,18.138,2024-09-13,18.138,2024-10-18,16.25,-0.2556115437471369,0.15248226950354615,29717700000.0,21.297,1.85,0.0,0.3072995461422088,0.27775314309562316,1.1741329479768787,1.174164737016209,0.27775314309562316,1.174164737016209
+SZ.002027,分众传媒,2023-12-29,5.890000000000001,2024-09-23,5.5,2021-02-18,11.5688,69.567,2021-02-18,69.567,2022-10-31,3.63,14.177,2022-04-26,11.856,2024-10-18,6.99,0.18675721561969438,0.270909090909091,100951000000.0,19.857,6.15,0.0,0.6042113270174954,0.2854370606753202,1.9256198347107438,1.4006489384213867,0.2854370606753202,1.6748481781376519
+SZ.002049,紫光国微,2023-12-29,66.77512,2024-09-23,45.87,2022-08-23,171.951,64.516,2021-08-23,146.262,2024-09-13,45.04,20.398,2024-02-05,15.686,2024-10-18,70.83,0.06072441352407898,0.5441465009810333,60178700000.0,32.078,0.96,0.0,0.4119196747910742,0.49720999441998887,1.572602131438721,1.5726051573683697,0.2193187567515828,2.045008287645034
+SZ.002050,三花智控,2023-12-29,29.15175,2024-09-23,17.56,2022-08-01,32.1724,66.202,2021-01-05,68.177,2022-04-25,12.5833,28.422,2024-08-27,19.735,2024-10-18,22.45,-0.22989185897930653,0.27847380410022793,83792100000.0,27.546,1.56,0.0,0.6978030858748492,0.4160901483338872,1.7841106863859242,0.9691788051509393,0.40403655191633536,1.3957942741322524
+SZ.002074,国轩高科,2023-12-29,21.40118,2024-09-23,18.05,2021-11-30,66.3212,645.825,2022-07-07,955.576,2024-02-05,16.6312,65.866,2021-01-04,0.0,2024-10-18,21.65,0.01162646171846582,0.19944598337950126,38827200000.0,38.799,0.46,0.0,0.3264416204773134,0.0600766461502729,1.3017701669151955,0.5890596058664561,0.040602735941463575,
+SZ.002129,TCL中环,2023-12-29,15.380320000000001,2024-09-23,7.51,2022-07-05,48.3723,41.003,2024-05-29,164.857,2024-08-23,7.39,0.0,2024-09-30,0.0,2024-10-18,9.2,-0.4018329917713026,0.2250332889480693,37196700000.0,-8.888,2.83,0.0,0.19019149389216553,-0.21676462697851376,1.2449255751014885,,-0.05391339160605858,
+SZ.002142,宁波银行,2023-12-29,19.509999999999998,2024-09-23,19.86,2021-03-03,39.8597,18.556,2021-03-03,18.556,2024-01-08,18.43,4.98,2024-09-13,4.638,2024-10-18,26.19,0.34238851870835485,0.3187311178247736,172948000000.0,6.591,2.29,0.0,0.6570546190764106,0.3551950851476611,1.4210526315789476,1.3234939759036144,0.3551950851476611,1.4210866752910738
+SZ.002179,中航光电,2023-12-29,38.4,2024-09-23,36.87,2021-12-03,55.4494,57.887,2021-01-07,70.271,2024-02-02,29.63,19.267,2024-02-02,19.267,2024-10-18,43.88,0.14270833333333344,0.19012747491185267,93010700000.0,30.451,1.37,0.0,0.7913521156225316,0.5260421165373919,1.4809314883563958,1.580474386256293,0.43333665381167197,1.580474386256293
+SZ.002180,纳思达,2023-12-29,22.63,2024-09-23,24.25,2022-10-26,57.7806,48.169,2021-04-28,310.121,2024-02-05,17.32,46.81,2024-09-30,0.0,2024-10-18,28.89,0.2766239505081751,0.19134020618556713,40925500000.0,-7.356,0.0,0.0,0.49999480794591955,-0.1527123253544811,1.668013856812933,-0.15714590899380473,-0.023719773894705615,
+SZ.002230,科大讯飞,2023-12-29,46.2808,2024-09-23,34.81,2023-06-20,80.6016,475.294,2024-09-30,562.531,2022-10-11,30.9016,51.067,2022-04-26,50.989,2024-10-18,45.83,-0.009740540353667226,0.31657569663889684,105947000000.0,492.795,0.22,0.0,0.5685991345084961,1.036821420005302,1.4830947264866545,9.649969647717704,0.8760317209184917,9.664731608778364
+SZ.002236,大华股份,2023-12-29,17.88741,2024-09-23,14.08,2023-04-07,25.8881,30.646,2023-04-20,33.325,2022-10-11,10.1881,10.531,2024-08-22,5.775,2024-10-18,16.42,-0.0820359124099016,0.16619318181818188,54060300000.0,7.511,5.33,0.0,0.6342682545262109,0.24508908177249886,1.6116842198250902,0.7132276137118981,0.22538634658664664,1.3006060606060605
+SZ.002241,歌尔股份,2023-12-29,20.86173,2024-09-23,18.63,2021-12-13,56.9565,47.087,2023-10-12,679.629,2023-08-25,14.2717,51.684,2023-10-27,0.0,2024-10-18,22.5,0.07852992057705666,0.20772946859903385,76885500000.0,40.687,0.67,0.0,0.3950383187169155,0.8640813812729627,1.576546592206955,0.7872262208807368,0.05986648597985077,
+SZ.002252,上海莱士,2023-12-29,7.93304,2024-09-23,6.473,2023-12-12,8.40304,27.234,2021-04-22,49.202,2022-04-25,4.92504,20.954,2024-02-05,19.935,2024-10-18,7.23,-0.08862176416606993,0.11694731963540872,47992600000.0,26.977,0.93,0.0,0.8604029018069651,0.9905632665051038,1.468008381657814,1.2874391524291304,0.5482907198894355,1.3532480561825935
+SZ.002271,东方雨虹,2023-12-29,18.015099999999997,2024-09-23,9.86001,2021-05-31,61.0676,44.495,2021-02-09,50.446,2024-09-13,9.26001,12.755,2024-08-21,10.958,2024-10-18,13.58,-0.24618792013366553,0.3772805504254051,33085200000.0,17.567,8.84,0.0,0.22237651389607582,0.3948084054388134,1.4665210944696605,1.3772638181105448,0.34823375490623637,1.6031210074831173
+SZ.002304,洋河股份,2023-12-29,105.24000000000001,2024-09-23,74.04,2021-01-05,249.322,53.543,2021-01-05,53.543,2024-09-18,72.16,10.762,2024-09-18,10.762,2024-10-18,84.97,-0.19260737362219693,0.14762290653700694,128003000000.0,12.672,5.48,0.0,0.3408042611562558,0.2366695926638403,1.1775221729490022,1.1774763055194202,0.2366695926638403,1.1774763055194202
+SZ.002311,海大集团,2023-12-29,44.410019999999996,2024-09-23,34.92,2021-02-10,84.6357,61.906,2022-10-18,106.395,2024-09-18,34.56,15.265,2024-09-18,15.265,2024-10-18,42.81,-0.036028355762956044,0.22594501718213067,71225100000.0,17.317,1.17,0.0,0.5058149220718917,0.27973055923496914,1.2387152777777777,1.1344251555846707,0.16276140796090044,1.1344251555846707
+SZ.002352,顺丰控股,2023-12-29,39.80979,2024-09-23,37.56,2021-02-10,115.754,75.305,2022-01-04,99.332,2024-08-28,33.23,18.049,2024-08-28,18.049,2024-10-18,42.52,0.0680789825819228,0.13205537806176793,204773000000.0,23.096,1.41,0.0,0.367330718592878,0.30669942234911357,1.2795666566355706,1.2796276802038895,0.23251318809648452,1.2796276802038895
+SZ.002371,北方华创,2023-12-29,244.93,2024-09-23,283.86,2021-11-11,450.47,273.381,2021-07-30,367.659,2021-03-24,132.561,160.023,2024-09-23,30.985,2024-10-18,401.16,0.6378557138774343,0.4132318748678927,213710000000.0,43.789,0.19,0.0,0.8905365507136991,0.16017572545275643,3.0262294339964244,0.27364191397486615,0.11910221156016854,1.4132322091334517
+SZ.002410,广联达,2023-12-29,17.07019,2024-09-23,9.59,2021-01-22,64.6062,354.069,2024-05-17,13840.0,2024-07-09,8.59,8590.0,2024-02-05,30.79,2024-10-18,14.48,-0.15173761979216394,0.5099061522419188,23920200000.0,402.222,0.48,0.0,0.22412709616104956,1.1359989154656294,1.6856810244470315,0.0468244470314319,0.029062283236994217,13.063397206885352
+SZ.002415,海康威视,2023-12-29,33.82,2024-09-23,25.35,2021-01-27,65.78,50.313,2021-01-27,50.313,2024-09-13,25.08,16.742,2022-09-05,16.66,2024-10-18,28.87,-0.14636309875813125,0.13885601577909257,266562000000.0,19.272,3.12,0.0,0.438887199756765,0.38304215610279646,1.151116427432217,1.1511169513797632,0.38304215610279646,1.156782713085234
+SZ.002459,晶澳科技,2023-12-29,20.16116,2024-09-23,9.92,2022-06-28,57.6987,72.97,2021-11-22,106.492,2024-08-23,9.2,7.66,2024-04-24,5.113,2024-10-18,13.71,-0.3199796043481624,0.38205645161290325,45375600000.0,33.602,4.11,0.0,0.2376136724050975,0.4604906125805125,1.490217391304348,4.386684073107049,0.3155354392818239,6.571875611187169
+SZ.002460,赣锋锂业,2023-12-29,42.0,2024-09-23,25.58,2021-08-31,155.13,138.451,2021-01-25,522.388,2024-09-10,25.31,0.0,2024-08-28,0.0,2024-10-18,30.96,-0.2628571428571428,0.21032056293979684,62451500000.0,-37.527,2.58,0.0,0.1995745503771031,-0.27104896317108584,1.223231924140656,,-0.0718374082099895,
+SZ.002466,天齐锂业,2023-12-29,54.44043,2024-09-23,24.93,2022-07-08,143.651,38.662,2022-07-08,38.662,2024-09-10,24.93,0.0,2021-01-04,0.0,2024-10-18,33.35,-0.38740380999929647,0.3377456879261933,54734700000.0,-12.551,4.05,0.0,0.23215988750513397,-0.32463400755263566,1.3377456879261933,,-0.32463400755263566,
+SZ.002475,立讯精密,2023-12-29,34.151050000000005,2024-09-23,36.48,2021-01-13,61.4611,67.001,2021-01-13,67.001,2023-04-27,24.7211,20.413,2024-04-25,17.96,2024-10-18,44.45,0.3015705227218488,0.21847587719298267,321205000000.0,26.777,0.67,0.0,0.7232216800545386,0.3996507514813212,1.7980591478534533,1.3117621123793661,0.3996507514813212,1.490924276169265
+SZ.002493,荣盛石化,2023-12-29,10.25545,2024-09-23,8.49,2021-02-10,28.9109,49.494,2024-04-29,101.754,2024-09-13,8.1,26.129,2023-04-27,0.0,2024-10-18,9.14,-0.10876655826901782,0.07656065959952896,92547300000.0,29.483,1.09,0.0,0.31614373817487523,0.5956883662666181,1.128395061728395,1.1283631214359524,0.28974782318139825,
+SZ.002555,三七互娱,2023-12-29,18.026470000000003,2024-09-23,13.19,2023-06-20,35.709,27.587,2022-01-05,28.752,2024-07-24,11.9717,10.807,2022-10-25,8.43,2024-10-18,16.48,-0.08578884274070309,0.24943138741470827,36550400000.0,13.552,4.79,0.0,0.46150830322887787,0.4912458766810454,1.3765797672845126,1.2540020357175903,0.4713411240957151,1.6075919335705813
+SZ.002594,比亚迪,2023-12-29,194.90223,2024-09-23,250.0,2022-06-23,349.155,284.621,2021-11-09,286.074,2021-05-07,139.457,94.455,2024-02-02,16.952,2024-10-18,300.3,0.5407725196371536,0.20120000000000005,873653000000.0,26.702,1.03,0.0,0.8600764703355245,0.0938159868737725,2.15335192926852,0.28269546344820284,0.09333948558764515,1.5751533742331287
+SZ.002601,龙佰集团,2023-12-29,16.529999999999998,2024-09-23,17.08,2021-02-18,44.79,39.901,2021-02-18,39.901,2022-10-25,13.36,8.958,2022-10-10,8.17,2024-10-18,18.8,0.1373260738052029,0.10070257611241229,44862300000.0,12.168,4.79,0.0,0.41973654833668234,0.3049547630385203,1.407185628742515,1.3583389149363696,0.3049547630385203,1.4893512851897184
+SZ.002603,以岭药业,2023-12-29,22.77,2024-09-23,14.6,2022-12-08,50.96,56.383,2024-09-30,108.554,2021-03-10,13.2072,24.172,2024-02-05,11.604,2024-10-18,16.8,-0.2621870882740448,0.15068493150684947,28067900000.0,101.204,1.79,0.0,0.32967032967032966,1.7949381905893618,1.2720334363074688,4.186827734568922,0.9322917626250529,8.72147535332644
+SZ.002648,卫星化学,2023-12-29,14.35,2024-09-23,14.93,2021-09-16,22.9861,24.257,2021-02-18,47.416,2021-01-04,8.55463,25.44,2022-10-24,6.491,2024-10-18,18.15,0.2648083623693378,0.21567314132618876,61140900000.0,12.181,2.2,0.0,0.7896076324387347,0.5021643237003751,2.121658096258985,0.47881289308176095,0.2568964062763624,1.8765983669696502
+SZ.002709,天赐材料,2023-12-29,24.780389999999997,2024-09-23,13.08,2021-10-29,81.3162,100.444,2021-08-20,154.957,2024-09-20,12.96,29.589,2024-02-05,10.303,2024-10-18,16.45,-0.3361686397994543,0.2576452599388379,31564700000.0,37.557,1.82,0.0,0.2022967133240363,0.3739098403090279,1.26929012345679,1.2692892629017543,0.2423704640642243,3.6452489566145783
+SZ.002714,牧原股份,2023-12-29,41.18,2024-09-23,35.63,2021-02-19,88.6193,18.552,2024-04-03,24.95,2023-10-20,31.64,10.07,2024-09-30,0.0,2024-10-18,42.19,0.02452646915978618,0.18411451024417613,230583000000.0,-351.583,0.0,0.0,0.47608139536195837,-18.951218197498925,1.3334386852085967,-34.913902681231384,-14.091503006012026,
+SZ.002736,国信证券,2023-12-29,8.27,2024-09-23,9.07,2021-01-12,12.6,20.043,2021-01-12,20.043,2024-02-05,7.28,11.705,2022-04-26,8.716,2024-10-18,11.63,0.40628778718258785,0.2822491730981258,111793000000.0,18.697,2.32,0.0,0.9230158730158731,0.9328443845731677,1.5975274725274726,1.597351559162751,0.9328443845731677,2.1451353832033044
+SZ.002812,恩捷股份,2023-12-29,55.28587,2024-09-23,24.47,2021-09-14,307.861,150.014,2021-08-05,183.984,2024-09-23,24.47,16.922,2024-08-23,12.195,2024-10-18,32.18,-0.41793445594688117,0.31507968941561093,31445800000.0,22.254,4.79,0.0,0.10452769269248136,0.1483461543589265,1.315079689415611,1.3150927786313675,0.12095617010174797,1.8248462484624848
+SZ.002821,凯莱英,2023-12-29,114.36758999999999,2024-09-23,63.31,2021-11-29,370.844,141.031,2021-11-29,141.031,2024-08-23,60.13,11.512,2024-02-05,11.132,2024-10-18,75.98,-0.33565094796524075,0.20012636234402148,27939200000.0,25.834,2.37,0.0,0.20488399434802776,0.1831795846303295,1.263595542990188,2.2440931202223764,0.1831795846303295,2.320697089471793
+SZ.002841,视源股份,2023-12-29,44.91614,2024-09-23,30.19,2021-04-22,145.266,62.16,2021-04-22,62.16,2024-07-08,27.12,15.041,2024-04-16,14.153,2024-10-18,35.99,-0.1987290092158408,0.19211659489897315,25049600000.0,19.84,2.36,0.0,0.24775239904726504,0.31917631917631917,1.3270648967551624,1.319061232630809,0.31917631917631917,1.4018229350667701
+SZ.002916,深南电路,2023-12-29,70.08999999999999,2024-09-23,87.79,2021-01-18,131.49,45.232,2021-01-18,45.232,2024-02-05,48.37,18.501,2024-02-05,18.501,2024-10-18,112.96,0.611642174347268,0.2867069142271328,57934600000.0,30.308,0.8,0.0,0.8590767358734503,0.6700565970993987,2.3353318172420923,1.6381817199070319,0.6700565970993987,1.6381817199070319
+SZ.002920,德赛西威,2023-12-29,128.67,2024-09-23,95.1,2022-08-02,195.92,118.789,2021-01-20,147.882,2021-09-16,75.06,64.243,2024-08-28,26.622,2024-10-18,118.63,-0.07802906660449205,0.2474237644584647,65840400000.0,37.025,0.71,0.0,0.6055022458146182,0.31168710907575614,1.5804689581667999,0.5763273819715767,0.2503685370768586,1.390767034783262
+SZ.002938,鹏鼎控股,2023-12-29,21.82204,2024-09-23,31.64,2021-01-05,50.072,46.462,2021-01-05,46.462,2024-02-02,16.382,10.904,2023-10-23,9.889,2024-10-18,34.94,0.6011335328869343,0.10429835651074582,81010500000.0,24.85,1.43,0.0,0.6977951749480746,0.5348456803409237,2.1328287144426805,2.278980190755686,0.5348456803409237,2.512893113560522
+SZ.003816,中国广核,2023-12-29,3.016,2024-09-23,4.07,2024-07-24,5.21,24.232,2024-07-24,24.232,2021-07-29,2.255,12.233,2021-07-29,12.233,2024-10-18,4.25,0.40915119363395225,0.04422604422604426,214619000000.0,19.767,2.21,0.0,0.8157389635316699,0.8157395179927369,1.8847006651884701,1.6158750919643585,0.8157395179927369,1.6158750919643585
+SZ.300014,亿纬锂能,2023-12-29,41.70121,2024-09-23,31.33,2021-11-26,147.932,96.653,2021-01-27,164.256,2024-09-23,31.33,15.879,2024-02-05,15.354,2024-10-18,45.52,0.09157504062831756,0.4529205234599427,93121200000.0,23.071,1.1,0.0,0.3077089473541898,0.238699264378757,1.4529205234599427,1.4529252471818126,0.14045757841418274,1.5026051843167907
+SZ.300015,爱尔眼科,2023-12-29,15.67046,2024-09-23,9.64,2021-07-01,41.9054,180.913,2021-02-10,221.654,2024-08-27,9.13,23.055,2024-08-27,23.055,2024-10-18,15.0,-0.04278495972677254,0.5560165975103732,139905000000.0,37.878,1.0,0.0,0.3579490948660555,0.2093713552923228,1.6429353778751368,1.6429407937540663,0.17088796051503696,1.6429407937540663
+SZ.300033,同花顺,2023-12-29,154.67000000000002,2024-09-23,102.58,2023-04-03,232.8,74.698,2024-09-30,79.584,2022-04-26,67.49,20.936,2022-04-26,20.936,2024-10-18,210.83,0.36309562293916064,1.0552739325404565,113342000000.0,86.797,1.04,0.0,0.905627147766323,1.1619722080912476,3.1238702029930363,4.145825372564005,1.0906337957378367,4.145825372564005
+SZ.300059,东方财富,2023-12-29,14.0,2024-09-23,10.73,2021-12-16,26.7761,52.618,2021-01-21,89.168,2024-07-08,9.96,19.377,2024-07-08,19.377,2024-10-18,22.95,0.6392857142857142,1.1388630009319662,362278000000.0,45.177,0.17,0.0,0.8571076445038672,0.8585845148048196,2.3042168674698793,2.331475460597616,0.5066503678449668,2.331475460597616
+SZ.300122,智飞生物,2023-12-29,60.31,2024-09-23,20.81,2021-04-30,148.434,96.884,2021-02-10,110.384,2024-09-18,20.65,8.178,2024-08-28,7.074,2024-10-18,32.52,-0.4607859393135466,0.5627102354637197,77846000000.0,12.879,2.46,0.0,0.21908727111039253,0.13293216630196936,1.5748184019370464,1.5748349229640497,0.11667451804609363,1.8206106870229006
+SZ.300124,汇川技术,2023-12-29,62.69016,2024-09-23,43.45,2021-08-04,86.4506,89.164,2021-02-18,108.817,2024-08-23,39.9,22.24,2024-08-23,22.24,2024-10-18,58.5,-0.06683919773055291,0.3463751438434981,156671000000.0,32.754,0.77,0.0,0.6766870328256831,0.3673455654748553,1.4661654135338347,1.4727517985611511,0.3010007627484676,1.4727517985611511
+SZ.300142,沃森生物,2023-12-29,23.500040000000002,2024-09-23,9.9,2021-08-05,93.7331,139.346,2022-04-18,225.018,2024-09-18,9.9,117.857,2024-03-29,32.933,2024-10-18,14.82,-0.36936277555272246,0.49696969696969684,23702300000.0,176.428,0.07,0.0,0.1581085016925718,1.2661145637477933,1.4969696969696968,1.4969666629898946,0.7840617195068839,5.357179728539762
+SZ.300223,北京君正,2023-12-29,64.45,2024-09-23,43.09,2021-07-29,191.37,496.994,2021-01-04,2716.18,2024-09-23,43.09,40.498,2022-10-11,28.816,2024-10-18,72.25,0.12102404965089208,0.6767231376189369,34793400000.0,67.904,0.28,0.0,0.3775408893766003,0.1366294160492883,1.6767231376189369,1.6767247765321744,0.024999815917943584,2.3564686285397003
+SZ.300274,阳光电源,2023-12-29,62.06079650000001,2024-09-23,76.78,2021-10-27,122.679,113.14,2022-08-23,133.733,2022-04-26,40.3418,53.234,2024-07-10,11.902,2024-10-18,94.5,0.5227004055611821,0.2307892680385517,195918000000.0,19.504,0.73,0.0,0.7703029858410975,0.17238819162100055,2.3424834786747244,0.36638238719615285,0.14584283609879387,1.63871618215426
+SZ.300308,中际旭创,2023-12-29,80.8068668,2024-09-23,108.9,2024-07-10,157.53,60.217,2023-06-20,108.626,2022-10-10,17.7847,19.774,2022-12-23,18.034,2024-10-18,168.0,1.0790312340138897,0.5426997245179062,188356000000.0,48.068,0.19,0.0,1.0664635307560464,0.7982463423950047,9.446321838434159,2.430868817639324,0.44250915986964445,2.6654097815237883
+SZ.300316,晶盛机电,2023-12-29,43.391160000000006,2024-09-23,21.4,2022-08-18,82.8612,58.666,2021-08-26,87.468,2024-09-23,21.4,6.301,2024-09-23,6.301,2024-10-18,34.71,-0.20006747918239576,0.6219626168224301,45453900000.0,10.22,2.02,0.0,0.4188932817772371,0.17420652507414858,1.6219626168224301,1.6219647674972226,0.11684273105592903,1.6219647674972226
+SZ.300347,泰格医药,2023-12-29,54.40472,2024-09-23,49.8,2021-07-01,202.905,91.503,2021-01-25,102.411,2024-02-05,37.2847,14.474,2024-02-05,14.474,2024-10-18,64.0,0.1763685209665633,0.285140562248996,55356700000.0,49.004,0.89,0.0,0.31541854562479976,0.5355452826683278,1.71652179043951,3.3856570402100314,0.47850328577984785,3.3856570402100314
+SZ.300408,三环集团,2023-12-29,29.169999999999998,2024-09-23,29.89,2021-07-23,47.47,50.333,2021-02-10,65.843,2024-02-02,21.69,29.972,2022-04-26,23.069,2024-10-18,36.25,0.2427151182721976,0.21278019404483106,69473000000.0,37.027,0.77,0.0,0.7636401938066147,0.7356406333816781,1.6712770862148454,1.2353863606032296,0.5623528697052078,1.6050544020113573
+SZ.300413,芒果超媒,2023-12-29,25.02,2024-09-23,18.87,2021-01-22,91.41,91.34,2021-01-22,91.34,2024-09-18,18.26,10.161,2024-09-18,10.161,2024-10-18,24.36,-0.026378896882494063,0.2909379968203496,45570800000.0,13.555,0.74,0.0,0.26649163111256974,0.14840157652726077,1.334063526834611,1.3340222419053243,0.14840157652726077,1.3340222419053243
+SZ.300418,昆仑万维,2023-12-29,37.35067,2024-09-23,26.71,2023-05-04,66.3507,80.193,2023-04-06,714.594,2022-10-10,12.0807,11.986,2021-08-05,3.798,2024-10-18,41.45,0.10975251581832413,0.5518532384874579,51045500000.0,99.879,0.12,0.0,0.6247108169167771,1.2454827728105946,3.4310925691392056,8.332971800433839,0.1397702751492456,26.29778830963665
+SZ.300433,蓝思科技,2023-12-29,12.90256,2024-09-23,15.17,2021-01-18,39.5651,37.063,2022-08-18,139.12,2022-04-26,8.47512,99.67,2022-08-26,0.0,2024-10-18,22.52,0.7453900621272058,0.4845088991430455,112219000000.0,33.712,1.33,0.0,0.569188501987863,0.9095863799476567,2.657189514720735,0.33823617939199363,0.24232317423806787,
+SZ.300442,润泽科技,2023-12-29,25.243000000000002,2024-09-23,22.79,2023-04-20,40.4222,240.816,2023-04-20,240.816,2021-01-26,16.8109,0.0,2021-01-04,0.0,2024-10-18,33.0,0.3072931109614545,0.4480035103115403,56779100000.0,28.013,1.6,0.0,0.8163830766262105,0.11632532722078268,1.9630120933441992,,0.11632532722078268,
+SZ.300450,先导智能,2023-12-29,25.25947,2024-09-23,13.15,2021-11-12,85.9125,120.733,2021-08-04,145.796,2024-09-20,13.03,19.742,2024-02-05,9.868,2024-10-18,18.51,-0.2672055272735334,0.40760456273764256,28989700000.0,28.045,1.85,0.0,0.2154517677869926,0.2322894320525457,1.4205679201841905,1.4205754229561343,0.19235781502921892,2.842014592622619
+SZ.300454,深信服,2023-12-29,72.24057,2024-09-23,44.14,2021-02-03,323.681,260.032,2023-04-14,295.278,2024-09-18,43.3,113.947,2022-04-27,0.0,2024-10-18,68.8,-0.047626562193515465,0.5586769370185771,28885600000.0,181.052,0.07,0.0,0.2125549537971027,0.6962681516121093,1.5889145496535797,1.5889141442951547,0.6131577699659303,
+SZ.300496,中科创达,2023-12-29,79.68644,2024-09-23,36.175,2021-07-08,161.584,141.637,2021-02-02,173.898,2024-08-27,32.175,81.155,2024-02-05,28.393,2024-10-18,62.9,-0.21065616684595279,0.7387698686938495,28934800000.0,158.438,0.59,0.0,0.38927121497177936,1.1186201345693567,1.954933954933955,1.9522888300166346,0.9110973099173078,5.580178212939809
+SZ.300498,温氏股份,2023-12-29,19.96003,2024-09-23,15.52,2022-07-11,25.4107,0.0,2024-01-02,1839.09,2021-07-28,11.9007,12.893,2024-09-30,0.0,2024-10-18,18.28,-0.08416971317177369,0.1778350515463918,121615000000.0,-326.428,0.55,0.0,0.719381992625154,,1.5360440982463217,-25.31823470100054,-0.1774943042482967,
+SZ.300628,亿联网络,2023-12-29,28.05161,2024-09-23,35.110640000000004,2021-07-15,65.0811,67.375,2021-07-15,67.375,2024-02-02,22.5016,15.084,2024-02-02,15.084,2024-10-18,39.26,0.39956316232829403,0.11817956038397459,49617400000.0,21.198,3.82,0.0,0.603247332943051,0.3146270871985158,1.744764816724144,1.4053301511535403,0.3146270871985158,1.4053301511535403
+SZ.300661,圣邦股份,2023-12-29,88.91000000000001,2024-09-23,65.19,2021-07-30,190.633,262.222,2021-07-30,262.222,2024-04-11,59.48,105.079,2022-10-11,48.769,2024-10-18,95.49,0.07400742323698095,0.46479521398987567,45062500000.0,121.798,0.1,0.0,0.5009101257389853,0.4644842919358407,1.605413584398117,1.159108860952236,0.4644842919358407,2.4974471488035435
+SZ.300750,宁德时代,2023-12-29,158.232,2024-09-23,188.2,2021-12-02,375.435,160.71,2021-01-07,216.124,2024-01-30,135.722,13.981,2024-01-30,13.981,2024-10-18,249.89,0.5792633601294301,0.3277895855472901,1100110000000.0,22.462,0.8,0.0,0.6656012358996897,0.13976728268309377,1.841190079721784,1.6066089693154997,0.10393107660417168,1.6066089693154997
+SZ.300751,迈为股份,2023-12-29,127.91288,2024-09-23,68.65090000000001,2022-08-23,337.117,133.673,2021-08-30,179.668,2024-09-23,68.6509,20.326,2024-09-23,20.326,2024-10-18,98.98,-0.22619207698239607,0.4417873618554162,27655500000.0,29.094,1.62,0.0,0.2936072639469383,0.21765053526142153,1.4417873618554164,1.4313686903473384,0.16193200792572968,1.4313686903473384
+SZ.300759,康龙化成,2023-12-29,28.780920000000002,2024-09-23,21.35,2021-08-05,103.249,140.928,2021-08-05,140.928,2024-04-22,17.9709,20.279,2024-08-27,17.293,2024-10-18,27.55,-0.04276861198321669,0.2903981264637001,49242700000.0,25.532,0.73,0.0,0.2668306714835011,0.1811705267938238,1.5330339604582965,1.2590364416391342,0.1811705267938238,1.4764355519574395
+SZ.300760,迈瑞医疗,2023-12-29,285.04,2024-09-23,222.34,2021-07-01,478.139,85.412,2021-02-10,94.343,2024-09-23,222.34,21.223,2024-09-23,21.223,2024-10-18,269.2,-0.05557114790906548,0.21075829810200597,326389000000.0,25.696,3.66,0.0,0.5630161940356256,0.30084765606706315,1.210758298102006,1.2107619092493993,0.27236784923099755,1.2107619092493993
+SZ.300782,卓胜微,2023-12-29,140.77624,2024-09-23,60.8,2021-06-30,335.106,126.858,2021-01-25,141.242,2024-09-18,59.1,28.454,2022-10-11,22.633,2024-10-18,105.58,-0.250015485567735,0.7365131578947368,56435500000.0,50.832,0.21,0.0,0.31506448705782647,0.4006999952703022,1.7864636209813873,1.7864623603008365,0.35989294968918595,2.245924093138338
+SZ.300832,新产业,2023-12-29,77.2,2024-09-23,67.65,2024-09-30,81.96,35.634,2021-01-22,247.553,2022-04-13,29.61,27.699,2022-09-26,23.977,2024-10-18,68.0,-0.11917098445595853,0.005173688100517326,53428900000.0,29.565,1.47,0.0,0.8296730112249878,0.8296851321771342,2.2965214454576155,1.0673670529622008,0.11942897076585621,1.2330566793176794
+SZ.300896,爱美客,2023-12-29,208.90784869999996,2024-09-23,138.28,2021-07-01,580.142,312.619,2021-02-04,365.46,2024-09-18,134.05,20.109,2024-09-18,20.109,2024-10-18,220.33,0.05467554891344806,0.593361295921319,66636100000.0,33.052,0.75,0.0,0.37978632817482616,0.10572613948608368,1.6436404326743752,1.6436421502809686,0.09043944617742024,1.6436421502809686
+SZ.300919,中伟股份,2023-12-29,34.325911100000006,2024-09-23,27.48,2021-11-24,148.891,131.957,2021-01-26,304.43,2024-08-20,26.82,12.662,2024-09-23,12.605,2024-10-18,38.05,0.10849206272051415,0.38464337700145546,35656300000.0,17.454,2.92,0.0,0.2555560779362084,0.1322703607993513,1.4187173750932138,1.3784552203443374,0.05733337713103177,1.3846886156287188
+SZ.300957,贝泰妮,2023-12-29,67.57424,2024-09-23,39.35,2021-07-07,282.504,212.155,2021-07-07,212.155,2024-09-23,39.35,21.087,2024-02-05,20.768,2024-10-18,52.72,-0.21982104423224003,0.3397712833545108,22332200000.0,28.252,1.14,0.0,0.1866168266644012,0.13316678843298532,1.3397712833545108,1.339782804571537,0.13316678843298532,1.360362095531587
+SZ.300979,华利集团,2023-12-29,51.44,2024-09-23,65.83,2021-07-02,110.6,65.509,2021-07-02,65.509,2022-10-31,38.19,14.727,2022-10-31,14.727,2024-10-18,70.8,0.37636080870917565,0.07549749354397695,82623600000.0,22.809,1.69,0.0,0.6401446654611211,0.3481811659466638,1.8538884524744699,1.548787940517417,0.3481811659466638,1.548787940517417
+SZ.300999,金龙鱼,2023-12-29,33.269000000000005,2024-09-23,24.83,2021-01-08,144.624,145.29,2021-01-08,145.29,2024-09-23,24.83,45.227,2024-09-23,45.227,2024-10-18,33.54,0.008145721241996862,0.3507853403141361,181840000000.0,61.092,0.33,0.0,0.23191171589777632,0.4204831715878588,1.350785340314136,1.3507860348906626,0.4204831715878588,1.3507860348906626
+SZ.301269,华大九天,2023-12-29,105.69999999999999,2024-09-23,73.11,2022-08-08,137.7,522.727,2022-08-08,522.727,2024-07-08,70.06,203.072,2024-04-23,167.155,2024-10-18,97.71,-0.07559129612109738,0.3364792778005743,53050800000.0,342.842,0.15,0.0,0.7095860566448802,0.655871994367997,1.3946617185269767,1.6882780491648282,0.655871994367997,2.0510424456342915
+SH.600000,浦发银行,2023-12-29,6.299,2024-09-23,8.63,2024-09-30,10.13,7.329,2024-09-30,7.329,2022-10-31,5.999,3.753,2022-10-28,3.742,2024-10-18,10.15,0.6113668836323225,0.17612977983777522,297925000000.0,7.344,3.16,0.0,1.001974333662389,1.0020466639377814,1.6919486581096852,1.9568345323741008,1.0020466639377814,1.9625868519508285
+SH.600009,上海机场,2023-12-29,32.56,2024-09-23,31.02,2021-01-29,78.78,509.677,2021-01-29,509.677,2024-09-18,30.24,46.523,2021-03-01,0.0,2024-10-18,34.8,0.0687960687960687,0.12185686653771755,86599100000.0,53.538,0.63,0.0,0.4417364813404417,0.10504299782018807,1.1507936507936507,1.1507856329127526,0.10504299782018807,
+SH.600010,包钢股份,2023-12-29,1.46,2024-09-23,1.4,2021-09-02,3.94107,58.235,2024-09-30,346.0,2021-02-01,1.11107,0.0,2021-01-04,0.0,2024-10-18,1.63,0.11643835616438358,0.16428571428571437,74010100000.0,326.0,0.0,0.0,0.41359326274336666,5.598008070747832,1.4670542810083973,,0.9421965317919075,
+SH.600011,华能国际,2023-12-29,7.5,2024-09-23,6.65,2023-05-29,10.09,0.0,2023-08-15,75.447,2021-02-08,3.43,11.011,2021-10-27,0.0,2024-10-18,7.05,-0.06000000000000005,0.06015037593984962,110672000000.0,11.538,2.84,0.0,0.6987115956392468,,2.0553935860058306,1.0478612296794116,0.15292854586663485,
+SH.600015,华夏银行,2023-12-29,5.236,2024-09-23,6.43,2024-09-30,7.43,4.427,2021-03-18,4.9,2022-10-31,4.023,3.122,2022-10-31,3.122,2024-10-18,7.37,0.40756302521008414,0.14618973561430804,117293000000.0,4.392,5.21,0.0,0.9919246298788695,0.9920939688276487,1.831966194382302,1.4067905188981424,0.8963265306122449,1.4067905188981424
+SH.600016,民生银行,2023-12-29,3.524,2024-09-23,3.5,2021-03-16,4.434,5.076,2021-03-31,6.441,2022-10-28,2.86,4.439,2024-09-11,4.149,2024-10-18,3.91,0.10953461975028378,0.11714285714285722,171189000000.0,4.961,5.52,0.0,0.8818222823635543,0.9773443656422381,1.3671328671328673,1.1175940527145753,0.7702220152150288,1.195709809592673
+SH.600018,上港集团,2023-12-29,4.728000000000001,2024-09-23,5.7,2024-09-30,6.5,10.586,2022-01-14,16.19,2021-02-05,3.67004,12.011,2022-11-03,6.486,2024-10-18,6.21,0.313451776649746,0.08947368421052637,144595000000.0,10.114,2.77,0.0,0.9553846153846154,0.9554128093708673,1.6920796503580342,0.8420614436766298,0.6247066090179123,1.559358618563059
+SH.600019,宝钢股份,2023-12-29,5.6263,2024-09-23,5.6124,2021-09-13,10.5558,11.096,2021-03-15,18.043,2022-10-31,4.297,9.303,2022-03-15,5.21,2024-10-18,6.56,0.1659527575849138,0.1688404247737152,144223000000.0,12.081,4.73,0.0,0.6214592925216469,1.0887707281903387,1.5266464975564347,1.2986133505320863,0.669567145153245,2.318809980806142
+SH.600023,浙能电力,2023-12-29,4.36,2024-09-23,5.94,2024-07-09,7.63,13.974,2023-10-27,110.0,2022-09-29,2.9,0.0,2022-04-29,0.0,2024-10-18,6.18,0.4174311926605503,0.04040404040404022,82866000000.0,10.804,4.05,0.0,0.8099606815203145,0.7731501359667955,2.1310344827586207,,0.09821818181818182,
+SH.600025,华能水电,2023-12-29,8.450000000000001,2024-09-23,10.48,2024-08-22,12.25,28.29,2024-08-22,28.29,2021-01-12,3.565,15.232,2021-01-12,15.232,2024-10-18,10.44,0.23550295857988135,-0.003816793893129833,187920000000.0,22.355,1.72,0.0,0.8522448979591837,0.7902085542594557,2.928471248246844,1.4676339285714286,0.7902085542594557,1.4676339285714286
+SH.600026,中远海能,2023-12-29,11.89,2024-09-23,13.07,2022-10-19,19.74,0.0,2021-10-08,3610.0,2022-01-25,4.41,0.0,2021-11-01,0.0,2024-10-18,13.0,0.09335576114381827,-0.005355776587605221,62020100000.0,19.696,2.69,0.0,0.6585612968591692,,2.947845804988662,,0.0054559556786703605,
+SH.600027,华电国际,2023-12-29,4.989999999999999,2024-09-23,5.28,2024-04-15,7.42,17.126,2023-04-28,632.0,2021-02-04,2.18,6.601,2022-03-28,0.0,2024-10-18,5.5,0.10220440881763548,0.04166666666666652,56251600000.0,10.891,4.18,0.0,0.7412398921832885,0.6359336681069718,2.5229357798165135,1.6499015300712014,0.01723259493670886,
+SH.600028,中国石化,2023-12-29,5.234,2024-09-23,6.48,2024-08-27,7.034,14.302,2021-04-16,16.36,2021-02-02,2.494,12.628,2021-08-30,5.324,2024-10-18,6.57,0.25525410775697366,0.01388888888888884,799568000000.0,13.087,5.27,0.0,0.9340346886551039,0.9150468465948819,2.634322373696872,1.0363477985429204,0.7999388753056235,2.458114199849737
+SH.600029,南方航空,2023-12-29,5.76,2024-09-23,5.28,2023-04-07,8.21,0.0,2021-01-04,0.0,2021-08-04,5.23,0.0,2021-01-04,0.0,2024-10-18,5.86,0.01736111111111116,0.10984848484848486,106189000000.0,-41.56,0.0,0.0,0.7137637028014616,,1.1204588910133844,,,
+SH.600030,中信证券,2023-12-29,19.895,2024-09-23,19.31,2021-01-12,27.937,28.829,2021-01-12,28.829,2022-10-31,16.245,11.581,2022-10-28,11.549,2024-10-18,27.91,0.4028650414677055,0.4453650958052824,413641000000.0,21.787,1.7,0.0,0.9990335397501521,0.7557320753408027,1.7180670975684824,1.8812710474052328,0.7557320753408027,1.8864836782405403
+SH.600031,三一重工,2023-12-29,13.5506,2024-09-23,16.24,2021-02-10,46.5079,28.029,2023-02-20,54.182,2023-12-18,12.4806,22.8,2022-03-15,9.016,2024-10-18,18.0,0.32835446400897395,0.10837438423645329,152550000000.0,32.49,1.22,0.0,0.387031020536296,1.1591565878197583,1.4422383539252919,1.425,0.5996456387730242,3.603593611357587
+SH.600036,招商银行,2023-12-29,25.848,2024-09-23,31.39,2021-05-26,52.015,14.526,2021-02-18,15.228,2022-10-31,23.11,5.076,2023-12-14,4.701,2024-10-18,39.05,0.5107551841535127,0.24402676011468616,984835000000.0,6.764,5.05,0.0,0.7507449774103623,0.4656478039377668,1.6897446992643876,1.3325453112687156,0.4441817704229052,1.4388427994043822
+SH.600039,四川路桥,2023-12-29,6.973,2024-09-23,5.78,2023-04-28,10.1545,8.8,2021-03-22,13.444,2021-01-07,1.4616,8.148,2024-01-22,5.327,2024-10-18,8.4,0.20464649361824194,0.45328719723183397,73187700000.0,11.185,6.6,0.0,0.8272194593529962,1.2710227272727272,5.74712643678161,1.3727295041728031,0.8319696518893186,2.0996808710343533
+SH.600048,保利发展,2023-12-29,9.4936,2024-09-23,8.08,2022-09-15,17.9936,8.083,2024-09-30,18.171,2024-09-10,7.45,12.273,2021-08-04,4.112,2024-10-18,10.47,0.10284823460015158,0.29579207920792094,125331000000.0,17.248,3.92,0.0,0.5818735550417926,2.1338611901521713,1.4053691275167786,1.4053613623400962,0.9492047768422213,4.19455252918288
+SH.600050,中国联通,2023-12-29,4.3284,2024-09-23,4.49,2023-03-14,6.0081,26.869,2023-03-14,26.869,2022-08-03,3.0729,15.467,2022-10-31,13.941,2024-10-18,5.17,0.19443674336937433,0.15144766146993316,164409000000.0,18.731,2.55,0.0,0.8605049849370018,0.6971230786408129,1.682449803117576,1.2110299346996833,0.6971230786408129,1.343590847141525
+SH.600061,国投资本,2023-12-29,6.63,2024-09-23,5.94,2021-09-07,9.418,13.818,2024-09-30,27.29,2024-07-08,5.38,18.811,2022-04-28,8.123,2024-10-18,7.66,0.15535444947209665,0.2895622895622896,49217900000.0,25.618,1.44,0.0,0.8133361647908262,1.853958604718483,1.4237918215613383,1.3618627398862366,0.938732136313668,3.1537609257663424
+SH.600085,同仁堂,2023-12-29,53.2,2024-09-23,31.35,2023-05-04,61.9,55.504,2022-01-11,58.27,2021-01-29,22.25,38.112,2024-09-18,25.128,2024-10-18,37.24,-0.30000000000000004,0.18787878787878798,51073600000.0,29.983,2.69,0.0,0.6016155088852989,0.5401953012395503,1.6737078651685393,0.7867075986565911,0.5145529431954694,1.1932107609041707
+SH.600089,特变电工,2023-12-29,13.600000000000001,2024-09-23,11.96,2022-07-05,22.5769,14.104,2021-01-27,27.602,2021-01-11,5.87691,19.103,2023-10-23,4.193,2024-10-18,13.01,-0.04338235294117654,0.08779264214046822,65736800000.0,10.517,1.54,0.0,0.5762527184865948,0.7456749858196257,2.2137483813772887,0.5505417997173219,0.3810231142670821,2.508227999046029
+SH.600104,上汽集团,2023-12-29,13.16437,2024-09-23,11.89,2021-01-11,24.4512,14.387,2021-01-11,14.387,2024-09-13,11.55,9.796,2022-04-26,7.289,2024-10-18,13.11,-0.004130087501338919,0.10260723296888141,151752000000.0,11.119,2.82,0.0,0.5361700039261876,0.7728504900257176,1.1350649350649349,1.1350551245406288,0.7728504900257176,1.5254493071751956
+SH.600111,北方稀土,2023-12-29,19.27,2024-09-23,16.54,2021-09-10,60.3272,87.658,2021-03-03,130.879,2021-01-04,12.6972,73.901,2022-10-31,13.296,2024-10-18,19.3,0.0015568240788792487,0.16686819830713429,69770800000.0,51.329,0.36,0.0,0.31992202522245355,0.5855597891806794,1.5200201619254639,0.6945643496028471,0.392186676242942,3.860484356197353
+SH.600115,中国东航,2023-12-29,3.88,2024-09-23,3.48,2022-02-10,6.11,0.0,2021-01-04,0.0,2024-04-16,3.41,0.0,2021-01-04,0.0,2024-10-18,3.62,-0.0670103092783505,0.04022988505747138,80694500000.0,-17.238,0.0,0.0,0.5924713584288053,,1.06158357771261,,,
+SH.600132,重庆啤酒,2023-12-29,63.650000000000006,2024-09-23,53.11,2021-07-21,197.63,80.498,2021-02-10,149.584,2024-02-05,51.16,18.322,2024-09-18,18.114,2024-10-18,60.3,-0.052631578947368585,0.13537940124270387,29183500000.0,21.254,4.64,0.0,0.30511562009816323,0.2640314045069443,1.1786551993745114,1.1600261980133175,0.14208738902556423,1.1733465827536713
+SH.600150,中国船舶,2023-12-29,29.240000000000002,2024-09-23,33.9,2024-07-19,42.9,58.164,2023-07-31,902.162,2021-02-04,13.815,134.285,2021-02-25,0.0,2024-10-18,39.15,0.33891928864569065,0.15486725663716805,175096000000.0,45.896,0.51,0.0,0.9125874125874126,0.7890791554913692,2.8338762214983713,0.34178054138585845,0.05087334647214137,
+SH.600161,天坛生物,2023-12-29,25.658230200000002,2024-09-23,20.5,2021-01-11,31.7424,90.313,2021-07-14,92.812,2022-04-25,12.965,37.274,2024-09-23,31.931,2024-10-18,21.89,-0.14686243636554486,0.06780487804878055,43284700000.0,34.096,0.57,0.0,0.6896138918292253,0.37753147387419306,1.6883918241419207,0.9147394967001126,0.36736628884196004,1.0678024490307223
+SH.600176,中国巨石,2023-12-29,9.555,2024-09-23,9.3,2021-02-18,22.7887,52.222,2021-02-18,52.222,2024-01-22,8.445,9.266,2022-10-24,6.39,2024-10-18,10.33,0.08110936682365266,0.11075268817204287,41352400000.0,21.298,2.66,0.0,0.45329483472071685,0.4078357780245873,1.2232089994079336,2.298510684221886,0.4078357780245873,3.33302034428795
+SH.600183,生益科技,2023-12-29,17.86,2024-09-23,16.73,2021-01-14,28.47,40.71,2024-07-16,42.807,2022-10-10,11.8,12.574,2022-04-26,12.438,2024-10-18,19.51,0.09238521836506175,0.16616855947399878,47397500000.0,30.724,2.31,0.0,0.6852827537759045,0.7547040039302383,1.6533898305084747,2.4434547478924764,0.7177330810381479,2.4701720533847884
+SH.600188,兖矿能源,2023-12-29,14.092296299999997,2024-09-23,13.99,2022-09-07,25.0025,9.58,2021-09-16,21.527,2021-02-05,-0.515385,5.622,2023-08-21,4.066,2024-10-18,15.85,0.12472798347278591,0.13295210864903506,159132000000.0,9.252,7.23,0.0,0.633936606339366,0.9657620041753654,-30.75370839275493,1.6456776947705445,0.4297858503274957,2.2754549926217416
+SH.600196,复星医药,2023-12-29,24.7602,2024-09-23,22.35,2021-08-04,86.1502,56.938,2021-08-04,56.938,2024-02-05,20.9202,15.825,2024-02-05,15.825,2024-10-18,25.45,0.0278592256928456,0.13870246085011173,67985300000.0,37.099,1.06,0.0,0.2954142880689772,0.6515683726158277,1.2165275666580624,2.34432859399684,0.6515683726158277,2.34432859399684
+SH.600219,南山铝业,2023-12-29,2.8202,2024-09-23,3.78,2021-09-13,5.77783,26.431,2021-02-19,31.554,2024-01-22,2.6302,11.458,2024-09-11,9.353,2024-10-18,4.12,0.4608892986313029,0.08994708994709,48239200000.0,11.105,3.88,0.0,0.7130704780168333,0.42015058075744394,1.5664208045015588,0.9691918310350847,0.35193636306015086,1.1873195766064366
+SH.600233,圆通速递,2023-12-29,11.94,2024-09-23,15.43,2022-10-17,21.58,19.456,2022-01-11,47.892,2021-07-28,8.09,14.957,2024-01-30,9.891,2024-10-18,17.18,0.43886097152428816,0.11341542449773168,59191900000.0,15.38,2.04,0.0,0.7961075069508805,0.7905016447368421,2.123609394313968,1.0282810724075684,0.3211392299340182,1.5549489434839754
+SH.600276,恒瑞医药,2023-12-29,45.030319999999996,2024-09-23,42.71,2021-01-07,95.1468,104.735,2021-01-07,104.735,2022-04-26,27.2205,41.464,2022-04-11,33.333,2024-10-18,50.48,0.1210224577573511,0.1819246078201826,322012000000.0,59.318,0.4,0.0,0.5305485838725001,0.5663627249725498,1.8544846714792158,1.4305903916650589,0.5663627249725498,1.7795577955779558
+SH.600309,万华化学,2023-12-29,74.675,2024-09-23,75.65,2021-02-18,136.435,59.643,2021-02-18,59.643,2024-01-17,65.555,13.867,2022-04-25,9.619,2024-10-18,78.22,0.04747238031469703,0.033972240581625845,245591000000.0,14.956,2.74,0.0,0.573313299373328,0.25075868081753094,1.1931965525131567,1.0785317660633156,0.25075868081753094,1.5548393803929723
+SH.600332,白云山,2023-12-29,27.851000000000003,2024-09-23,24.91,2023-05-29,35.249,14.674,2021-01-05,18.681,2022-09-26,23.949,10.858,2024-01-22,10.193,2024-10-18,28.35,0.017916771390614317,0.13809714973906062,46091200000.0,12.146,4.05,0.0,0.8042781355499447,0.8277225023851711,1.1837655016910935,1.118622214035734,0.6501793265885124,1.1916020798587268
+SH.600346,恒力石化,2023-12-29,12.62,2024-09-23,12.45,2021-02-18,44.2718,25.026,2023-11-01,54.051,2024-02-05,10.9,41.788,2023-04-28,0.0,2024-10-18,14.63,0.15927099841521408,0.17510040160642593,102982000000.0,13.074,3.76,0.0,0.3304586666907603,0.5224166866458883,1.3422018348623854,0.3128649373025749,0.24188266637064992,
+SH.600362,江西铜业,2023-12-29,17.262999999999998,2024-09-23,19.89,2021-09-13,29.353,23.2,2021-02-23,54.336,2022-09-28,13.963,8.605,2022-09-28,8.605,2024-10-18,22.6,0.3091583154723978,0.13624937154348915,78257700000.0,11.571,2.65,0.0,0.7699383367969203,0.49875,1.61856334598582,1.3446833236490412,0.21295273851590107,1.3446833236490412
+SH.600372,中航机载,2023-12-29,13.054,2024-09-23,10.59,2021-01-12,22.5322,63.013,2023-04-18,90.515,2024-02-05,9.894,35.658,2024-07-08,27.294,2024-10-18,12.69,-0.027884173433430415,0.19830028328611893,61405600000.0,34.767,0.99,0.0,0.5631940067991585,0.5517432910669228,1.2825955124317767,0.975012619888945,0.38410208252775785,1.2737964387777534
+SH.600406,国电南瑞,2023-12-29,21.7813,2024-09-23,25.64,2021-12-15,30.3579,45.782,2021-12-15,45.782,2021-01-06,13.8223,25.598,2024-01-23,23.757,2024-10-18,26.36,0.2102124299284247,0.02808112324492984,211745000000.0,28.652,2.56,0.0,0.8683077551477539,0.6258354811934822,1.9070632239207657,1.1193061957965467,0.6258354811934822,1.206044534242539
+SH.600415,小商品城,2023-12-29,7.12,2024-09-23,8.56,2023-05-05,10.335,35.099,2023-05-05,35.099,2022-10-28,3.905,13.113,2022-10-28,13.113,2024-10-18,10.95,0.5379213483146066,0.27920560747663536,60053500000.0,22.346,1.83,0.0,1.0595065312046443,0.6366563149947293,2.804097311139565,1.704110424769313,0.6366563149947293,1.704110424769313
+SH.600426,华鲁恒升,2023-12-29,26.99,2024-09-23,20.55,2021-09-13,38.25,18.22,2021-02-18,44.964,2024-09-13,19.96,10.358,2022-07-12,6.916,2024-10-18,23.19,-0.14079288625416808,0.1284671532846715,49238600000.0,12.034,2.59,0.0,0.6062745098039216,0.6604829857299671,1.161823647294589,1.161807298706314,0.26763633128725206,1.7400231347599768
+SH.600436,片仔癀,2023-12-29,239.67000000000002,2024-09-23,197.77,2021-07-21,484.98,167.039,2021-07-21,167.039,2024-02-02,186.19,40.262,2024-09-18,39.201,2024-10-18,230.54,-0.03809404597988908,0.16569752743085386,139089000000.0,45.168,1.51,0.0,0.47535980865190314,0.27040391764797445,1.2381975401471614,1.1218518702498634,0.27040391764797445,1.1522155047065126
+SH.600438,通威股份,2023-12-29,24.129,2024-09-23,17.43,2022-07-05,63.991,24.291,2021-02-18,65.405,2024-07-09,16.42,17.655,2024-08-30,0.0,2024-10-18,20.43,-0.15330100708690797,0.17211703958691915,91975400000.0,-32.531,4.43,0.0,0.31926364645028205,-1.3392202873492238,1.2442143727161996,-1.8425941659586518,-0.49737787630915065,
+SH.600460,士兰微,2023-12-29,22.83,2024-09-23,17.72,2021-07-29,69.52,383.076,2021-03-02,5016.67,2024-02-05,16.3,307.547,2024-04-09,0.0,2024-10-18,26.5,0.16075339465615435,0.4954853273137698,44097900000.0,-2208.33,0.0,0.0,0.38118527042577677,-5.764730758387369,1.6257668711656441,-7.180463473875537,-0.44019837860572847,
+SH.600489,中金黄金,2023-12-29,9.558000000000002,2024-09-23,13.31,2024-07-17,17.768,27.405,2021-02-25,86.14,2022-04-26,5.9527,19.433,2024-01-22,16.014,2024-10-18,14.68,0.53588616865453,0.10293012772351617,71158500000.0,21.213,2.74,0.0,0.8262044124268347,0.774055829228243,2.466107816621029,1.0915967683836774,0.24626189923380545,1.324653428250281
+SH.600515,海南机场,2023-12-29,3.7,2024-09-23,3.1,2021-09-07,8.7678,0.0,2022-10-21,105.476,2024-09-04,2.99,51.551,2021-01-04,0.0,2024-10-18,3.34,-0.09729729729729741,0.07741935483870965,38160500000.0,57.586,0.0,0.0,0.3809393462442118,,1.117056856187291,1.1170685340730537,0.5459630626872464,
+SH.600519,贵州茅台,2023-12-29,1695.124,2024-09-23,1261.54,2021-02-10,2462.23,73.294,2021-02-10,73.294,2022-10-31,1252.2,28.456,2024-09-19,19.69,2024-10-18,1541.0,-0.09092196205115377,0.22152290058182866,1935800000000.0,24.062,2.0,0.0,0.6258554237418925,0.3282942669249871,1.2306340840121386,0.8455861681192016,0.3282942669249871,1.2220416455053327
+SH.600547,山东黄金,2023-12-29,22.73,2024-09-23,26.68,2024-04-12,32.97,63.673,2022-04-20,206.138,2022-09-28,16.39,41.919,2021-08-27,0.0,2024-10-18,28.3,0.24505059392872863,0.06071964017991016,126598000000.0,44.707,0.49,0.0,0.8583560812860176,0.7021343426570131,1.7266625991458207,1.066509220162695,0.21687898398160455,
+SH.600570,恒生电子,2023-12-29,28.630200000000002,2024-09-23,16.43,2021-01-05,59.8424,110.271,2023-03-31,127.932,2024-08-27,15.34,28.834,2024-02-05,21.734,2024-10-18,28.1,-0.018518906609105046,0.7102860620815583,53225500000.0,52.819,0.46,0.0,0.4695667286071415,0.4789926635289424,1.8318122555410692,1.8318304779080254,0.41286777350467435,2.4302475384190667
+SH.600584,长电科技,2023-12-29,29.759999999999998,2024-09-23,27.79,2021-01-18,47.65,74.613,2021-01-18,74.613,2022-04-26,19.45,11.996,2022-10-10,11.494,2024-10-18,40.03,0.3450940860215055,0.4404462036703851,71630300000.0,44.927,0.25,0.0,0.840083945435467,0.602133676437082,2.0580976863753215,3.7451650550183393,0.602133676437082,3.9087349921698276
+SH.600585,海螺水泥,2023-12-29,21.61,2024-09-23,20.07,2021-01-13,50.37,8.801,2024-09-30,18.997,2024-09-10,19.81,14.396,2022-10-24,4.998,2024-10-18,25.14,0.1633503007866728,0.2526158445440956,133224000000.0,18.27,3.82,0.0,0.4991066110780227,2.0759004658561526,1.2690560323069158,1.2691025284801332,0.9617307995999368,3.6554621848739495
+SH.600588,用友网络,2023-12-29,17.79,2024-09-23,8.75,2021-01-25,50.7413,232.272,2023-03-17,2351.67,2024-08-27,8.13,0.0,2023-08-18,0.0,2024-10-18,11.05,-0.3788645306351882,0.2628571428571429,37757800000.0,-41.231,0.0,0.0,0.21777132237447602,-0.17751171040848662,1.3591635916359164,,-0.01753264701254853,
+SH.600600,青岛啤酒,2023-12-29,72.75,2024-09-23,56.91,2023-04-10,120.53,45.709,2021-01-07,66.632,2024-09-13,53.96,16.416,2024-09-13,16.416,2024-10-18,68.5,-0.05841924398625431,0.20365489369179413,93447500000.0,20.839,2.92,0.0,0.5683232390276279,0.4559058391126473,1.2694588584136397,1.2694322612085769,0.3127476287669588,1.2694322612085769
+SH.600660,福耀玻璃,2023-12-29,36.09,2024-09-23,52.3,2021-01-25,59.48,70.319,2021-01-25,70.319,2022-04-11,26.85,25.207,2023-06-01,17.553,2024-10-18,58.6,0.623718481573843,0.12045889101338436,152931000000.0,21.906,2.22,0.0,0.9852051109616679,0.311523201410714,2.182495344506518,0.8690443130876343,0.311523201410714,1.2479917962741411
+SH.600674,川投能源,2023-12-29,14.719999999999999,2024-09-23,17.72,2024-07-24,20.14,21.632,2024-07-24,21.632,2021-01-11,8.3,14.381,2023-11-29,14.01,2024-10-18,17.57,0.1936141304347827,-0.008465011286681645,85646800000.0,17.191,2.28,0.0,0.8723932472691162,0.7947022928994082,2.116867469879518,1.1953967039844238,0.7947022928994082,1.2270521056388293
+SH.600690,海尔智家,2023-12-29,20.21317,2024-09-23,27.48,2021-01-25,33.1461,47.332,2021-01-25,47.332,2022-03-15,18.9694,15.687,2023-12-20,11.713,2024-10-18,31.13,0.5400850039850253,0.1328238719068413,292090000000.0,16.179,2.57,0.0,0.939175347929319,0.3418194878728978,1.6410640294368826,1.0313635494358386,0.3418194878728978,1.381285750875096
+SH.600732,爱旭股份,2023-12-29,17.64,2024-09-23,7.45,2022-11-08,33.9368,41.694,2022-07-27,38220.0,2021-05-24,6.62586,24.334,2024-04-29,0.0,2024-10-18,9.06,-0.48639455782312924,0.21610738255033568,16559800000.0,-7.207,0.0,0.0,0.2669668324650527,-0.1728546073775603,1.3673696697485307,-0.2961699679460837,-0.00018856619570905284,
+SH.600741,华域汽车,2023-12-29,15.530000000000001,2024-09-23,15.86,2021-01-12,29.42,22.195,2021-01-12,22.195,2024-08-22,13.3,5.953,2024-08-28,5.925,2024-10-18,16.27,0.04764971023824849,0.025851197982345475,51294800000.0,7.089,4.61,0.0,0.5530251529571719,0.3193962604190133,1.2233082706766916,1.1908281538719974,0.3193962604190133,1.1964556962025317
+SH.600745,闻泰科技,2023-12-29,42.185,2024-09-23,24.85,2021-12-14,139.571,79.263,2024-09-30,574.21,2024-08-28,24.23,425.087,2022-10-28,21.182,2024-10-18,32.71,-0.2246059025720043,0.3162977867203218,40652300000.0,573.859,0.38,0.0,0.2343610062262218,7.239935404917805,1.3499793644242675,1.3499801217162606,0.9993887253792166,27.091823246152398
+SH.600760,中航沈飞,2023-12-29,41.78,2024-09-23,38.52,2021-08-31,57.6289,101.799,2021-08-30,128.849,2021-04-30,28.3585,65.913,2024-04-11,31.494,2024-10-18,47.16,0.12876974629009075,0.22429906542056055,129959000000.0,41.477,0.85,0.0,0.8183394095670747,0.4074401516714309,1.6629934587513444,0.6292688847420084,0.32190393406235207,1.3169810122563026
+SH.600795,国电电力,2023-12-29,4.09,2024-09-23,4.99,2024-07-09,6.06,16.786,2021-12-31,93.235,2021-02-05,1.7737,39.803,2022-04-26,0.0,2024-10-18,5.11,0.24938875305623487,0.024048096192384794,91140000000.0,9.733,2.35,0.0,0.8432343234323434,0.5798284284522817,2.8809832553419406,0.24452930683616816,0.10439212741996032,
+SH.600803,新奥股份,2023-12-29,15.91,2024-09-23,18.02,2024-09-30,20.58,8.592,2021-03-22,283.87,2021-01-04,11.6042,25.461,2024-09-11,7.335,2024-10-18,19.24,0.20930232558139528,0.06770255271920078,59588000000.0,8.033,3.43,0.0,0.93488824101069,0.9349394785847298,1.6580203719342994,0.31550214052865166,0.02829816465283404,1.0951601908657123
+SH.600809,山西汾酒,2023-12-29,226.35999999999999,2024-09-23,154.48,2021-07-15,364.66,113.173,2021-02-18,147.001,2024-09-18,147.79,14.923,2024-09-18,14.923,2024-10-18,191.03,-0.15607881251104427,0.23660020714655627,233050000000.0,19.29,2.29,0.0,0.5238578401798936,0.17044701474733373,1.292577305636376,1.2926355290491187,0.13122359711838694,1.2926355290491187
+SH.600837,海通证券,2023-12-29,9.2708,2024-09-05,8.77,2021-09-07,13.2008,13.304,2024-04-01,113.896,2024-04-16,7.6808,101.038,2024-09-05,0.0,2024-10-18,13.35,0.44000517754670576,0.5222348916761688,174407000000.0,-93.356,0.97,0.0,1.0113023453124053,-7.017137702946481,1.7381001978960526,-0.923969199707041,-0.8196600407389196,
+SH.600845,宝信软件,2023-12-29,39.833174,2024-09-23,28.29,2023-06-19,44.5998,58.75,2021-07-29,76.821,2021-03-15,18.6055,47.399,2024-09-23,29.968,2024-10-18,28.53,-0.2837628254278707,0.008483563096500557,82292200000.0,30.222,2.92,0.0,0.6396889672150996,0.5144170212765957,1.533417537824837,0.6376083883626237,0.3934080524856485,1.0084757074212494
+SH.600875,东方电气,2023-12-29,14.145,2024-09-23,12.66,2022-11-07,24.75,27.278,2021-12-16,29.307,2021-07-05,9.06,15.274,2024-09-13,11.876,2024-10-18,14.79,0.04559915164369022,0.16824644549763024,46107800000.0,14.234,3.21,0.0,0.5975757575757575,0.5218124495930787,1.6324503311258276,0.9319104360350924,0.48568601358037333,1.198551700909397
+SH.600886,国投电力,2023-12-29,12.6852,2024-09-23,15.8,2024-07-03,18.5352,19.905,2022-07-08,38.217,2021-02-05,6.9867,10.135,2021-02-05,10.135,2024-10-18,15.84,0.2486992715920915,0.0025316455696202667,118074000000.0,16.603,3.13,0.0,0.8545901851612068,0.8341120321527254,2.26716475589334,1.6381845091267886,0.43444017060470475,1.6381845091267886
+SH.600887,伊利股份,2023-12-29,25.55,2024-09-23,21.89,2021-01-07,47.67,42.896,2021-01-07,42.896,2024-09-18,21.37,11.671,2024-08-28,11.119,2024-10-18,26.4,0.03326810176125239,0.20603015075376874,168061000000.0,14.418,4.55,0.0,0.553807426054122,0.3361152555016785,1.2353766963032287,1.235369719818353,0.3361152555016785,1.296699343466139
+SH.600893,航发动力,2023-12-29,37.220000000000006,2024-09-23,34.13,2021-01-13,77.33,159.958,2021-08-24,164.609,2024-02-05,29.55,59.539,2024-02-05,59.539,2024-10-18,41.6,0.11767866738312716,0.21886903017872839,110889000000.0,85.95,0.38,0.0,0.5379542221647485,0.5373285487440453,1.4077834179357023,1.4435915954248475,0.5221464196975864,1.4435915954248475
+SH.600900,长江电力,2023-12-29,22.52,2024-09-23,28.2,2024-07-24,31.04,27.517,2023-10-17,30.091,2021-01-05,15.7336,17.922,2021-07-27,15.507,2024-10-18,28.43,0.26243339253996445,0.008156028368794255,695631000000.0,23.399,2.88,0.0,0.9159149484536082,0.8503470581822147,1.806960898967814,1.305602053342261,0.7776079226346748,1.508931450312762
+SH.600905,三峡能源,2023-12-29,4.292,2024-09-23,4.09,2021-06-23,7.77688,55.486,2021-06-23,55.486,2021-06-10,3.60688,26.527,2024-06-27,17.051,2024-10-18,4.51,0.05079217148182669,0.10268948655256716,129080000000.0,19.273,1.73,0.0,0.579924082665542,0.3473488807987601,1.2503881470966598,0.72654276774607,0.3473488807987601,1.1303149375403203
+SH.600918,中泰证券,2023-12-29,6.82,2024-09-23,5.54,2021-01-04,17.742,51.666,2024-09-30,90.37,2024-07-08,5.34,38.214,2022-04-28,15.315,2024-10-18,6.78,-0.0058651026392961825,0.22382671480144412,47247300000.0,83.703,0.59,0.0,0.382144064930673,1.6200789687608874,1.2696629213483146,2.1903752551420945,0.9262255173176939,5.465426052889325
+SH.600919,江苏银行,2023-12-29,6.220000000000001,2024-09-23,7.63,2024-09-30,8.4,5.06,2021-06-04,7.292,2021-01-12,3.6933,5.396,2023-09-05,3.778,2024-10-18,8.99,0.445337620578778,0.17824377457404994,164978000000.0,5.415,5.23,0.0,1.0702380952380952,1.0701581027667986,2.434137492215634,1.0035211267605635,0.7425946242457487,1.4332980412916887
+SH.600926,杭州银行,2023-12-29,9.49,2024-09-23,12.35,2021-03-03,16.58,15.703,2021-03-03,15.703,2023-12-26,9.07,4.034,2023-12-26,4.034,2024-10-18,14.59,0.5374077976817702,0.18137651821862355,86522900000.0,5.389,3.56,0.0,0.8799758745476478,0.3431828313061199,1.6085997794928335,1.3358948934060486,0.3431828313061199,1.3358948934060486
+SH.600938,中国海油,2023-12-29,20.36964,2024-09-23,27.08,2024-07-02,34.5396,12.718,2024-07-02,12.718,2022-04-26,10.1866,9.153,2022-10-31,5.54,2024-10-18,28.44,0.3961955145009928,0.050221565731167095,1351750000000.0,9.666,4.49,0.0,0.8234027029844005,0.7600251611888662,2.791903088370997,1.056047197640118,0.7600251611888662,1.744765342960289
+SH.600941,中国移动,2023-12-29,94.9162,2024-09-23,101.05,2024-07-19,110.821,18.208,2024-07-19,18.208,2022-01-19,44.8238,10.841,2022-08-16,10.448,2024-10-18,107.1,0.12836375666113886,0.05987135081642747,2299450000000.0,16.932,4.26,0.0,0.9664233313180715,0.929920913884007,2.389355654808383,1.561848537957753,0.929920913884007,1.6205972434915772
+SH.600958,东方证券,2023-12-29,8.550699999999999,2024-09-23,8.55,2021-09-09,15.8586,33.052,2021-08-24,39.909,2022-10-28,7.2407,19.283,2022-04-20,12.005,2024-10-18,10.59,0.238495093968915,0.23859649122807003,89979500000.0,30.343,1.42,0.0,0.6677764745942265,0.9180382427689702,1.462565774027373,1.5735622050510811,0.7603046931769777,2.52753019575177
+SH.600989,宝丰能源,2023-12-29,14.49,2024-09-23,14.68,2021-02-18,19.6,36.868,2021-02-18,36.868,2022-10-31,10.91,11.8,2022-10-31,11.8,2024-10-18,15.74,0.0862663906142167,0.07220708446866486,115427000000.0,17.239,3.69,0.0,0.8030612244897959,0.46758706737550176,1.4427131072410633,1.4609322033898304,0.46758706737550176,1.4609322033898304
+SH.600999,招商证券,2023-12-29,13.286999999999999,2024-09-23,15.07,2021-01-25,25.585,24.218,2021-01-25,24.218,2022-04-28,11.132,10.09,2022-04-28,10.09,2024-10-18,20.26,0.5247986753970049,0.34439283344392835,176192000000.0,20.059,1.74,0.0,0.7918702364666798,0.8282682302419688,1.8199784405318005,1.98800792864222,0.8282682302419688,1.98800792864222
+SH.601006,大秦铁路,2023-12-29,6.82807,2024-09-23,6.11,2024-02-20,7.39807,11.098,2024-09-30,12.141,2021-08-06,4.49807,7.245,2021-08-27,6.971,2024-10-18,6.75,-0.0114336847747607,0.10474631751227492,123243000000.0,12.01,7.57,0.0,0.9124001259788026,1.0821769688232112,1.5006436093702409,1.657694962042788,0.9892101144880981,1.7228518146607372
+SH.601009,南京银行,2023-12-29,6.8433,2024-09-23,10.22,2024-09-30,10.95,5.833,2021-07-06,8.184,2021-01-14,6.02478,6.289,2023-12-19,3.928,2024-10-18,10.64,0.5548054301287391,0.041095890410958846,112742000000.0,5.807,5.05,0.0,0.9716894977168951,0.9955426024344248,1.7660395898273464,0.9233582445539833,0.7095552297165202,1.4783604887983708
+SH.601012,隆基绿能,2023-12-29,22.729999999999997,2024-09-23,12.73,2021-11-01,70.8161,55.604,2021-08-30,57.302,2024-09-23,12.73,0.0,2024-08-30,0.0,2024-10-18,16.45,-0.27628684557853056,0.2922230950510605,124659000000.0,-33.987,1.03,0.0,0.2322918093484391,-0.6112330048197971,1.2922230950510605,,-0.5931206589647832,
+SH.601021,春秋航空,2023-12-29,49.501200000000004,2024-09-23,49.4,2021-05-27,67.8812,0.0,2024-04-24,41.696,2022-05-09,40.7112,0.0,2021-01-04,0.0,2024-10-18,53.11,0.07290328315273165,0.07510121457489882,51970700000.0,18.694,1.32,0.0,0.7823963041313352,,1.3045550118886204,,0.44834036838066,
+SH.601059,信达证券,2023-12-29,17.944,2024-09-23,12.57,2023-08-17,22.27,56.751,2023-08-17,56.751,2023-02-01,11.79,30.937,2024-08-23,27.065,2024-10-18,15.48,-0.1373160945162728,0.23150357995226734,50201600000.0,37.122,0.3,0.0,0.6951055231252807,0.6541206322355554,1.3129770992366414,1.1999224229886543,0.6541206322355554,1.3715869203768705
+SH.601066,中信建投,2023-12-29,23.41,2024-09-23,19.78,2021-01-12,43.79,38.106,2021-01-12,38.106,2024-07-08,17.75,23.936,2022-04-28,15.431,2024-10-18,26.86,0.14737291755659965,0.35793731041456,208345000000.0,37.305,0.93,0.0,0.6133820506965061,0.9789796882380727,1.5132394366197184,1.5585310828877006,0.9789796882380727,2.4175361285723547
+SH.601088,中国神华,2023-12-29,29.090000000000003,2024-09-23,39.1,2024-09-30,43.6,15.493,2024-07-02,15.974,2021-02-05,7.19,8.187,2023-08-21,7.748,2024-10-18,41.98,0.44310759711240943,0.07365728900255752,834080000000.0,14.918,5.38,0.0,0.9628440366972476,0.9628864648550958,5.83866481223922,1.8221570782948577,0.933892575435082,1.9254001032524521
+SH.601100,恒立液压,2023-12-29,53.98,2024-09-23,52.75,2021-01-07,129.78,93.392,2021-01-07,93.392,2022-04-26,39.71,22.355,2022-04-25,19.929,2024-10-18,55.4,0.026306039273805037,0.05023696682464451,74281500000.0,29.625,1.26,0.0,0.42687625211897057,0.3172113243104335,1.3951145807101486,1.325206888839186,0.3172113243104335,1.4865271714586785
+SH.601111,中国国航,2023-12-29,7.34,2024-09-23,6.2,2022-12-14,11.8,0.0,2024-05-22,649.166,2024-09-23,6.2,0.0,2021-01-04,0.0,2024-10-18,6.98,-0.049046321525885506,0.12580645161290316,115824000000.0,-303.478,0.0,0.0,0.5915254237288136,,1.1258064516129032,,-0.46748905518773315,
+SH.601117,中国化学,2023-12-29,6.182,2024-09-23,6.48,2021-09-09,14.569,22.194,2021-09-09,22.194,2021-02-03,4.756,7.976,2024-01-22,6.516,2024-10-18,8.17,0.3215787770947913,0.2608024691358024,49911100000.0,9.38,2.18,0.0,0.5607797377994371,0.42263674867081197,1.7178301093355761,1.1760280842527584,0.42263674867081197,1.439533456108042
+SH.601138,工业富联,2023-12-29,14.54,2024-09-23,18.71,2024-07-09,28.42,26.079,2023-07-14,27.151,2022-10-10,7.03007,8.039,2022-10-10,8.039,2024-10-18,26.08,0.7936726272352133,0.3939070016034205,518155000000.0,22.917,2.22,0.0,0.9176636171710062,0.8787530196709997,3.7097781387667546,2.8507277024505537,0.8440573091230527,2.8507277024505537
+SH.601166,兴业银行,2023-12-29,15.170000000000002,2024-09-23,16.56,2021-02-18,23.665,9.166,2021-02-18,9.166,2022-10-31,12.802,3.451,2022-10-31,3.451,2024-10-18,19.6,0.2920237310481213,0.1835748792270533,407176000000.0,5.254,5.31,0.0,0.8282273399535179,0.5732053240235653,1.531010779565693,1.5224572587655751,0.5732053240235653,1.5224572587655751
+SH.601169,北京银行,2023-12-29,4.21,2024-09-23,5.11,2024-09-30,5.84,4.755,2021-01-19,5.222,2021-07-29,3.345,4.167,2023-12-21,3.63,2024-10-18,5.86,0.39192399049881255,0.14677103718199613,123898000000.0,4.771,5.46,0.0,1.0034246575342467,1.0033648790746583,1.7518684603886399,1.1449484041276698,0.9136346227499041,1.3143250688705235
+SH.601186,中国铁建,2023-12-29,7.260000000000001,2024-09-23,6.98,2023-05-08,11.9,6.318,2023-05-08,6.318,2021-07-19,6.124,4.018,2024-01-23,3.601,2024-10-18,9.21,0.26859504132231415,0.3194842406876792,125068000000.0,5.136,3.8,0.0,0.7739495798319328,0.8129154795821463,1.5039190071848467,1.2782478845196616,0.8129154795821463,1.426270480422105
+SH.601211,国泰君安,2023-12-29,14.48,2024-09-05,14.7,2021-09-13,17.43,12.395,2024-08-30,15.2,2022-10-31,12.29,9.969,2022-04-28,8.392,2024-10-18,20.27,0.39986187845303856,0.3789115646258503,180479000000.0,20.875,2.71,0.0,1.1629374641422834,1.6841468334005647,1.6493083807973963,2.093991373257097,1.3733552631578947,2.4874880838894184
+SH.601225,陕西煤业,2023-12-29,19.575,2024-09-23,23.95,2024-09-30,27.58,13.227,2024-06-12,14.203,2021-01-05,3.8894,6.773,2023-08-21,4.305,2024-10-18,25.16,0.28531289910600255,0.050521920668058495,243926000000.0,12.067,5.66,0.0,0.9122552574329225,0.9123005972631738,6.468864092147889,1.781632954377676,0.8496092374850385,2.8030197444831595
+SH.601229,上海银行,2023-12-29,5.51,2024-09-23,7.05,2024-09-30,7.89,4.943,2021-03-16,6.574,2022-10-31,4.72,3.513,2022-10-31,3.513,2024-10-18,8.05,0.46098003629764084,0.14184397163120588,114364000000.0,5.043,5.71,0.0,1.020278833967047,1.0202306291725673,1.7055084745762714,1.4355251921434673,0.7671128688773958,1.4355251921434673
+SH.601236,红塔证券,2023-12-29,7.53,2024-09-23,6.77,2021-01-04,15.3661,53.657,2023-08-31,3995.0,2024-07-08,6.02,136.818,2022-04-28,25.748,2024-10-18,8.53,0.13280212483399723,0.25997045790251105,40234200000.0,86.161,1.25,0.0,0.5551180846148339,1.6057737107926273,1.4169435215946844,0.6297490096332353,0.02156720901126408,3.3463181606338357
+SH.601238,广汽集团,2023-12-29,8.65,2024-09-23,7.36,2021-09-07,19.76,26.42,2024-09-30,30.659,2024-09-18,7.13,24.756,2023-03-16,11.046,2024-10-18,8.1,-0.06358381502890187,0.1005434782608694,83932400000.0,28.125,1.6,0.0,0.4099190283400809,1.0645344436033308,1.1360448807854138,1.1360882210373242,0.917348902443002,2.5461705594785444
+SH.601288,农业银行,2023-12-29,3.4091,2024-09-23,4.62,2024-08-27,4.98,6.501,2024-08-27,6.501,2021-08-05,2.2401,4.662,2022-11-02,3.777,2024-10-18,4.96,0.4549294535214572,0.07359307359307365,1735920000000.0,6.383,4.66,0.0,0.9959839357429718,0.9818489463159513,2.2141868666577387,1.3691548691548692,0.9818489463159513,1.6899655811490601
+SH.601318,中国平安,2023-12-29,38.814299999999996,2024-09-23,44.09,2021-01-12,79.2775,13.064,2021-01-12,13.064,2022-10-31,32.2671,6.851,2021-08-26,6.373,2024-10-18,57.18,0.4731683941227849,0.29689271943751416,1041260000000.0,11.511,4.25,0.0,0.7212639147299044,0.8811236987140232,1.7720836393726118,1.6801926726025396,0.8811236987140232,1.806213714106386
+SH.601319,中国人保,2023-12-29,4.684,2024-09-23,6.12,2024-09-30,7.44,12.871,2021-01-06,14.586,2022-04-26,3.771,8.67,2023-06-26,7.652,2024-10-18,7.32,0.5627668659265586,0.196078431372549,323720000000.0,12.664,2.13,0.0,0.9838709677419355,0.9839173335405174,1.9411296738265713,1.4606689734717415,0.8682298094062799,1.6549921589127026
+SH.601328,交通银行,2023-12-29,5.365,2024-09-23,6.68,2024-08-27,8.03,6.408,2024-08-27,6.408,2021-01-29,3.04,4.739,2022-10-31,3.626,2024-10-18,7.48,0.3942218080149116,0.11976047904191622,555485000000.0,6.037,5.01,0.0,0.9315068493150687,0.9421036204744069,2.460526315789474,1.273897446718717,0.9421036204744069,1.6649200220628793
+SH.601336,新华保险,2023-12-29,30.279999999999998,2024-09-23,33.24,2021-01-19,52.04,13.993,2024-05-22,16.273,2022-10-31,21.44,8.909,2022-04-26,6.096,2024-10-18,49.53,0.6357331571994718,0.49007220216606484,154511000000.0,15.738,1.72,0.0,0.9517678708685626,1.124705209747731,2.310167910447761,1.7665282298798965,0.9671234560314631,2.581692913385827
+SH.601360,三六零,2023-12-29,8.91204,2024-09-23,7.1,2023-04-04,19.982,0.0,2022-04-22,71.596,2022-10-10,6.24204,0.0,2022-08-26,0.0,2024-10-18,8.53,-0.04286785068289645,0.2014084507042253,60949900000.0,-101.547,1.17,0.0,0.42688419577619857,,1.3665404258864087,,-1.4183334264484049,
+SH.601377,兴业证券,2023-12-29,5.7700000000000005,2024-09-23,5.23,2021-08-24,9.71404,15.937,2024-09-30,52.868,2024-07-08,4.76,28.588,2022-04-28,8.771,2024-10-18,6.47,0.12131715771230489,0.23709369024856586,55874800000.0,50.155,1.55,0.0,0.6660462588171348,3.147079124050951,1.3592436974789917,1.754407443682664,0.9486835136566543,5.71827613727055
+SH.601390,中国中铁,2023-12-29,5.47,2024-09-23,5.18,2023-05-04,8.89,7.294,2023-04-28,7.349,2021-07-21,4.354,4.496,2024-09-13,3.94,2024-10-18,6.57,0.20109689213893978,0.26833976833976836,162612000000.0,5.156,3.2,0.0,0.7390326209223846,0.7068823690704689,1.5089572806614608,1.1467971530249108,0.7015920533405905,1.3086294416243653
+SH.601398,工商银行,2023-12-29,4.4736,2024-09-23,5.72,2024-08-27,6.53,6.439,2021-03-16,6.905,2022-11-03,3.4501,3.992,2022-11-03,3.992,2024-10-18,6.32,0.4127324749642347,0.104895104895105,2252490000000.0,6.245,4.84,0.0,0.9678407350689128,0.9698710979965833,1.831830961421408,1.56437875751503,0.9044170890658942,1.56437875751503
+SH.601600,中国铝业,2023-12-29,5.56,2024-09-23,7.0,2021-09-13,10.0822,46.081,2021-03-15,156.206,2021-01-29,3.0522,110.344,2024-09-11,10.399,2024-10-18,8.55,0.5377697841726621,0.22142857142857153,146704000000.0,14.226,0.94,0.0,0.8480291999761957,0.3087172587400447,2.8012581089050523,0.1289240919306895,0.09107204588812211,1.3680161553995578
+SH.601601,中国太保,2023-12-29,22.76,2024-09-23,30.71,2021-02-25,41.66,18.081,2021-02-25,18.081,2022-10-28,15.97,7.589,2022-04-26,7.282,2024-10-18,38.0,0.6695957820738137,0.23738196027352654,365573000000.0,10.734,2.68,0.0,0.9121459433509362,0.5936618549858969,2.3794614902943017,1.414415601528528,0.5936618549858969,1.4740455918703652
+SH.601607,上海医药,2023-12-29,16.240000000000002,2024-09-23,18.39,2022-03-24,24.88,13.953,2024-07-19,19.707,2022-09-26,15.0,11.394,2021-10-28,9.16,2024-10-18,20.81,0.2814039408866993,0.1315932572050027,77093000000.0,18.798,2.35,0.0,0.8364147909967845,1.3472371533003655,1.3873333333333333,1.6498156924697207,0.9538742578779112,2.052183406113537
+SH.601618,中国中冶,2023-12-29,2.988,2024-09-23,2.68,2021-09-13,5.667,13.288,2021-09-13,13.288,2021-02-05,2.402,7.832,2024-01-22,5.185,2024-10-18,3.3,0.10441767068273089,0.23134328358208944,68387900000.0,12.222,2.18,0.0,0.5823186871360508,0.9197772426249247,1.3738551207327225,1.5605209397344229,0.9197772426249247,2.3571841851494697
+SH.601628,中国人寿,2023-12-29,27.92,2024-09-23,35.53,2024-09-30,44.0,50.228,2023-10-31,54.991,2022-03-15,22.55,13.187,2021-08-06,12.732,2024-10-18,43.67,0.5641117478510029,0.22910216718266252,1234320000000.0,49.851,0.98,0.0,0.9925,0.9924942263279445,1.9365853658536585,3.780313945552438,0.9065301594806423,3.9154099905749296
+SH.601633,长城汽车,2023-12-29,24.919999999999998,2024-09-23,24.1,2021-10-29,67.33,81.048,2021-01-13,109.713,2024-02-05,19.57,33.116,2024-09-02,14.808,2024-10-18,26.98,0.0826645264847512,0.1195020746887967,230450000000.0,18.095,1.11,0.0,0.4007129065795337,0.22326275787187838,1.3786407766990292,0.5464126102186254,0.164930318193833,1.221974608319827
+SH.601658,邮储银行,2023-12-29,4.0889999999999995,2024-09-23,4.76,2023-05-08,5.4111,6.792,2021-03-29,9.083,2022-10-31,3.3611,4.19,2022-10-31,4.19,2024-10-18,5.64,0.3793103448275863,0.18487394957983194,559268000000.0,6.542,4.63,0.0,1.0423019349115705,0.9631919905771495,1.6780220761060367,1.5613365155131262,0.7202466145546625,1.5613365155131262
+SH.601668,中国建筑,2023-12-29,4.53855,2024-09-23,4.95,2023-05-08,6.55585,5.627,2023-05-08,5.627,2021-07-29,3.65585,3.842,2022-11-03,3.48,2024-10-18,6.28,0.3837018430996686,0.26868686868686864,261313000000.0,4.772,4.32,0.0,0.9579230763364018,0.8480540252354719,1.7177947672907805,1.2420614263404477,0.8480540252354719,1.371264367816092
+SH.601669,中国电建,2023-12-29,4.7535099999999995,2024-09-23,4.5,2022-02-08,9.32387,17.472,2022-02-08,17.472,2021-02-04,3.17216,7.621,2024-09-13,6.03,2024-10-18,5.51,0.15914345399504803,0.22444444444444445,94916100000.0,7.568,2.47,0.0,0.5909563303649665,0.4331501831501831,1.736986785029759,0.9930455320824038,0.4331501831501831,1.2550580431177445
+SH.601688,华泰证券,2023-12-29,13.52,2024-09-23,13.08,2021-09-13,17.8246,14.259,2021-01-12,15.557,2023-01-03,11.0123,10.663,2022-04-28,8.748,2024-10-18,17.3,0.2795857988165682,0.32262996941896027,156172000000.0,13.568,3.35,0.0,0.9705687645164548,0.9515393786380532,1.570970641918582,1.2724374003563725,0.8721475862955582,1.5509830818472794
+SH.601689,拓普集团,2023-12-29,50.30656,2024-09-23,36.39,2022-07-29,62.6908,87.542,2021-01-22,108.333,2021-05-12,17.8215,39.579,2024-08-28,21.147,2024-10-18,45.1,-0.10349664139229553,0.23935147018411662,76039700000.0,30.268,0.85,0.0,0.7194038040669444,0.3457540380617304,2.530651179754791,0.7647489830465651,0.2793977827624085,1.4313141343925855
+SH.601698,中国卫通,2023-12-29,17.2852,2024-09-23,14.5,2023-03-16,25.0916,146.279,2024-08-02,238.933,2022-04-26,8.7526,67.045,2022-10-10,64.866,2024-10-18,17.06,-0.01302848679795432,0.17655172413793085,72068000000.0,147.068,0.15,0.0,0.6799088141051188,1.0053938022545958,1.9491351141375135,2.193571481840555,0.6155198319194084,2.267258656306848
+SH.601699,潞安环能,2023-12-29,20.321,2024-09-23,13.87,2024-03-07,26.601,6.929,2021-08-12,16.199,2021-02-05,0.024,9.797,2023-06-26,3.092,2024-10-18,15.72,-0.22641602283352202,0.1333813987022352,47025000000.0,9.691,10.11,0.0,0.590955227247096,1.3986145186895655,655.0,0.9891803613351026,0.5982468053583554,3.134217335058215
+SH.601728,中国电信,2023-12-29,5.152900000000001,2024-09-23,6.06,2023-03-14,6.8037,24.511,2023-03-14,24.511,2022-05-06,3.0737,13.15,2022-08-03,12.602,2024-10-18,6.53,0.2672475693298917,0.07755775577557777,597542000000.0,18.603,3.94,0.0,0.959771888825198,0.7589653624903105,2.1244753879688973,1.4146768060836503,0.7589653624903105,1.4761942548801779
+SH.601766,中国中车,2023-12-29,5.06,2024-09-23,7.02,2024-09-30,8.17,18.824,2021-01-14,21.492,2022-10-10,4.26,14.164,2023-12-20,12.317,2024-10-18,8.17,0.6146245059288538,0.16381766381766383,234470000000.0,18.824,2.45,0.0,1.0,1.0,1.9178403755868545,1.3290031064670997,0.8758607854085242,1.5282942274904605
+SH.601788,光大证券,2023-12-29,15.1397,2024-09-23,14.64,2024-09-30,19.25,27.15,2021-01-05,54.183,2022-04-26,10.0117,14.193,2022-04-26,14.193,2024-10-18,17.72,0.17043270342212846,0.2103825136612021,81703200000.0,24.992,1.58,0.0,0.9205194805194805,0.9205156537753224,1.7699291828560584,1.7608680335376594,0.46125168410756145,1.7608680335376594
+SH.601799,星宇股份,2023-12-29,129.918,2024-09-23,131.33,2021-06-21,228.454,49.804,2021-01-26,62.233,2022-04-26,97.2543,30.285,2024-08-28,26.075,2024-10-18,148.52,0.14318262288520445,0.13089164699611655,42429100000.0,34.507,0.81,0.0,0.6501089934954083,0.6928559955023692,1.5271304199403009,1.1394089483242529,0.5544807417286648,1.3233748801534035
+SH.601800,中国交建,2023-12-29,7.30744,2024-09-23,7.32,2023-05-04,12.2317,10.511,2023-04-20,10.676,2021-07-19,5.47797,5.497,2024-09-13,4.886,2024-10-18,10.11,0.3835214521090833,0.3811475409836065,164577000000.0,6.929,2.9,0.0,0.8265408733046101,0.65921415659785,1.845574181676789,1.2605057303983993,0.6490258523791682,1.4181334424887433
+SH.601808,中海油服,2023-12-29,14.409999999999998,2024-09-23,13.44,2021-02-23,19.63,38.195,2022-03-28,215.303,2022-04-26,10.86,172.424,2024-09-11,19.226,2024-10-18,15.44,0.0714781401804303,0.14880952380952372,73673400000.0,22.54,1.36,0.0,0.7865511971472237,0.5901295981149365,1.4217311233885819,0.13072426112374147,0.1046896699070612,1.1723707479454906
+SH.601816,京沪高铁,2023-12-29,4.8084,2024-09-23,5.38,2024-09-30,6.04,23.23,2023-04-28,417.692,2022-10-24,4.217,206.666,2024-09-11,20.076,2024-10-18,5.69,0.18334581149654783,0.05762081784386619,279416000000.0,21.884,1.97,0.0,0.9420529801324504,0.9420576840292725,1.3493004505572683,0.10589066416343279,0.05239267211246564,1.0900577804343494
+SH.601818,光大银行,2023-12-29,2.727,2024-09-23,3.14,2024-09-30,3.6,5.164,2021-02-05,6.626,2022-10-31,2.357,3.273,2022-10-31,3.273,2024-10-18,3.51,0.28712871287128716,0.11783439490445846,207390000000.0,5.035,4.93,0.0,0.9749999999999999,0.9750193648334625,1.4891811624946965,1.5383440268866484,0.7598853003320254,1.5383440268866484
+SH.601838,成都银行,2023-12-29,10.363199999999999,2024-09-23,13.78,2024-09-30,15.75,4.898,2022-04-15,8.597,2021-01-14,6.32527,5.71,2023-12-14,3.628,2024-10-18,15.86,0.5304153157325924,0.15094339622641506,60489500000.0,4.933,5.66,0.0,1.0069841269841269,1.0071457737852185,2.5074028460445166,0.863922942206655,0.5738048156333605,1.3597023153252479
+SH.601857,中国石油,2023-12-29,6.609999999999999,2024-09-23,8.01,2024-04-17,10.48,12.42,2021-03-08,44.653,2021-02-01,2.68338,40.396,2022-10-31,6.386,2024-10-18,8.54,0.29198184568835095,0.06616729088639195,1563000000000.0,9.499,5.27,0.0,0.8148854961832059,0.7648148148148148,3.1825533468983145,0.2351470442618081,0.21272926791033078,1.487472596304416
+SH.601865,福莱特,2023-12-29,26.32,2024-09-23,14.82,2021-09-02,58.882,52.811,2021-01-07,85.869,2024-09-23,14.82,10.945,2024-09-23,10.945,2024-10-18,18.53,-0.29597264437689963,0.25033738191632926,43416500000.0,13.685,3.34,0.0,0.3146971909921538,0.2591316203063756,1.2503373819163293,1.2503426222019187,0.15937066927529145,1.2503426222019187
+SH.601868,中国能建,2023-12-29,2.0740000000000003,2024-09-23,2.04,2021-09-29,2.9563,20.612,2021-12-20,20.62,2024-01-23,2.004,12.687,2024-09-11,10.41,2024-10-18,2.34,0.12825458052073269,0.1470588235294117,97557300000.0,12.0,1.11,0.0,0.7915299529817676,0.5821851348728896,1.1676646706586826,0.9458500827618823,0.5819592628516004,1.1527377521613833
+SH.601872,招商轮船,2023-12-29,5.6419999999999995,2024-09-23,6.77,2024-05-15,9.592,15.728,2022-03-03,101.063,2021-02-05,3.05866,6.141,2021-02-05,6.141,2024-10-18,7.05,0.2495568947181852,0.041358936484490405,57413800000.0,12.589,3.38,0.0,0.7349874895746454,0.8004196337741608,2.304930917460587,2.0499918580035827,0.12456586485657462,2.0499918580035827
+SH.601877,正泰电器,2023-12-29,20.96,2024-09-23,18.37,2021-08-31,61.6083,20.948,2022-07-18,22.469,2024-02-05,17.04,9.893,2024-02-05,9.893,2024-10-18,20.9,-0.002862595419847458,0.13772455089820346,44913500000.0,12.122,2.63,0.0,0.3392400049993264,0.5786709948443766,1.226525821596244,1.22531082583645,0.5394988651030308,1.22531082583645
+SH.601878,浙商证券,2023-12-29,10.2914,2024-09-23,11.0,2021-01-04,14.6026,42.612,2021-01-04,42.612,2022-04-28,8.3226,15.477,2022-04-28,15.477,2024-10-18,13.61,0.3224634160561246,0.2372727272727273,52849800000.0,32.482,1.03,0.0,0.9320258036240121,0.7622735379705247,1.6353062744815323,2.098727143503263,0.7622735379705247,2.098727143503263
+SH.601881,中国银河,2023-12-29,11.83,2024-09-23,11.29,2024-09-30,15.39,22.97,2024-09-30,22.97,2022-08-03,7.87467,8.429,2022-08-03,8.429,2024-10-18,14.76,0.24767540152155543,0.3073516386182462,161392000000.0,22.029,1.49,0.0,0.9590643274853801,0.9590335219851981,1.8743642590737135,2.6134772808162294,0.9590335219851981,2.6134772808162294
+SH.601888,中国中免,2023-12-29,82.03999999999999,2024-09-23,54.3,2021-02-10,382.91,210.45,2021-02-10,210.45,2024-09-18,53.76,18.143,2024-09-18,18.143,2024-10-18,68.02,-0.17089224768405653,0.25267034990791903,140724000000.0,22.956,2.43,0.0,0.1776396542268418,0.10908054169636494,1.265252976190476,1.2652813757371988,0.10908054169636494,1.2652813757371988
+SH.601898,中煤能源,2023-12-29,9.135,2024-09-23,13.24,2024-09-30,14.75,11.182,2021-03-19,18.052,2021-02-05,2.417,12.607,2023-02-16,5.307,2024-10-18,13.97,0.5292829775588397,0.05513595166163143,185224000000.0,10.591,4.75,0.0,0.9471186440677967,0.9471472008585226,5.779892428630534,0.8400888395335925,0.5866939951251938,1.9956661013755415
+SH.601899,紫金矿业,2023-12-29,12.160000000000002,2024-09-23,15.82,2024-05-20,19.17,23.373,2021-02-22,63.608,2022-09-28,6.93,9.099,2022-09-28,9.099,2024-10-18,17.63,0.44983552631578916,0.11441213653603022,468568000000.0,15.983,1.7,0.0,0.9196661450182576,0.6838232148205194,2.544011544011544,1.7565666556764479,0.25127342472644953,1.7565666556764479
+SH.601901,方正证券,2023-12-29,8.037,2024-09-23,6.98,2021-01-04,11.125,65.174,2021-01-04,65.174,2022-04-28,5.815,26.651,2023-06-26,23.726,2024-10-18,8.58,0.06756252332960044,0.2292263610315186,70631400000.0,34.183,0.83,0.0,0.7712359550561798,0.5244882928775277,1.4754944110060189,1.2826160369216915,0.5244882928775277,1.4407401163280789
+SH.601916,浙商银行,2023-12-29,2.356,2024-09-23,2.55,2021-03-15,3.27499,7.589,2021-03-15,7.589,2022-10-28,2.25943,4.583,2023-06-12,4.126,2024-10-18,2.96,0.2563667232597624,0.1607843137254903,81295300000.0,5.314,5.54,0.0,0.9038195536474921,0.7002240084332586,1.3100649278800405,1.1595025092734017,0.7002240084332586,1.2879301987396994
+SH.601919,中远海控,2023-12-29,9.35,2024-09-23,13.25,2021-07-07,20.0669,16.003,2021-01-13,24.582,2021-03-08,2.38999,13.861,2023-01-12,1.362,2024-10-18,14.23,0.5219251336898396,0.07396226415094342,227120000000.0,9.398,5.27,0.0,0.7091279669505505,0.5872648878335311,5.953999807530575,0.678017459057788,0.38231226100398663,6.90014684287812
+SH.601939,建设银行,2023-12-29,6.109999999999999,2024-09-23,7.34,2024-08-27,8.36,6.318,2021-03-16,7.664,2022-11-03,4.451,4.122,2022-11-03,4.122,2024-10-18,8.31,0.3600654664484453,0.13215258855585832,2077590000000.0,6.305,4.81,0.0,0.994019138755981,0.9979423868312758,1.8669961806335658,1.529597282872392,0.8226774530271399,1.529597282872392
+SH.601985,中国核电,2023-12-29,7.305,2024-09-23,10.12,2024-07-25,12.22,21.628,2024-07-25,21.628,2021-02-05,4.055,14.071,2022-10-28,11.927,2024-10-18,10.47,0.43326488706365507,0.034584980237154284,197708000000.0,18.898,1.86,0.0,0.8567921440261866,0.8737747364527464,2.581997533908755,1.343045981095871,0.8737747364527464,1.5844722059193428
+SH.601988,中国银行,2023-12-29,3.7536,2024-09-23,4.69,2024-08-27,5.17,6.611,2024-08-27,6.611,2021-01-04,2.2836,5.382,2022-11-02,3.906,2024-10-18,5.05,0.3453751065643649,0.07675906183368864,1486660000000.0,6.449,4.67,0.0,0.9767891682785299,0.9754953864770837,2.21142056402172,1.1982534373838722,0.9754953864770837,1.6510496671786994
+SH.601989,中国重工,2023-12-29,4.12,2024-09-23,4.49,2024-08-01,5.74,0.0,2022-08-17,1300.0,2022-10-11,3.39,0.0,2021-01-04,0.0,2024-10-18,5.12,0.24271844660194164,0.14031180400890864,116746000000.0,-269.473,0.2,0.0,0.89198606271777,,1.5103244837758112,,-0.2072869230769231,
+SH.601995,中金公司,2023-12-29,37.87,2024-09-23,28.68,2021-01-04,74.01,66.77,2021-01-04,66.77,2024-07-08,26.52,25.093,2022-04-28,15.987,2024-10-18,36.11,-0.04647478214945866,0.25906555090655514,174312000000.0,36.146,0.5,0.0,0.48790703958924464,0.5413509060955519,1.3616138763197587,1.4404814091579325,0.5413509060955519,2.2609620316507164
+SH.601998,中信银行,2023-12-29,4.9639,2024-09-23,6.01,2024-04-18,7.6039,6.303,2024-04-18,6.303,2022-03-15,3.4029,3.963,2022-10-31,3.475,2024-10-18,6.87,0.3839924253107436,0.14309484193011657,367461000000.0,5.531,4.75,0.0,0.9034837386078196,0.8775186419165476,2.0188662611302126,1.3956598536462275,0.8775186419165476,1.5916546762589927
+SH.603019,中科曙光,2023-12-29,39.32009,2024-09-23,36.36,2023-06-19,60.8701,57.121,2021-01-14,79.543,2022-10-11,20.1001,23.375,2022-10-11,23.375,2024-10-18,55.22,0.4043711497099829,0.5187018701870187,80801400000.0,43.583,0.31,0.0,0.9071777440812484,0.7629943453370914,2.7472500136815237,1.8645133689839573,0.5479174785964823,1.8645133689839573
+SH.603195,公牛集团,2023-12-29,63.82804900000001,2024-09-23,66.25,2021-01-13,114.87,67.466,2021-01-13,67.466,2022-10-31,52.0881,24.507,2024-09-10,18.604,2024-10-18,73.45,0.1507480042199001,0.10867924528301898,94932500000.0,22.143,2.91,0.0,0.6394184730564987,0.3282097649186257,1.410110946646163,0.903537764720284,0.3282097649186257,1.1902279079767792
+SH.603259,药明康德,2023-12-29,71.77026000000001,2024-09-23,41.75,2021-07-01,165.6,119.148,2021-02-10,184.079,2024-07-08,36.87,11.443,2024-07-08,11.443,2024-10-18,50.22,-0.3002672694790294,0.2028742514970059,146237000000.0,17.134,1.97,0.0,0.3032608695652174,0.14380434417698998,1.3620829943043125,1.4973346150485014,0.09307960169275148,1.4973346150485014
+SH.603260,合盛硅业,2023-12-29,50.3247,2024-09-23,49.66,2021-09-14,243.005,79.428,2021-09-14,79.428,2021-01-04,29.7847,32.268,2022-05-06,8.811,2024-10-18,52.21,0.03746271711505478,0.05134917438582365,61723000000.0,33.946,1.3,0.0,0.21485154626448016,0.42738077252354334,1.752913408562114,1.052001983389116,0.42738077252354334,3.852684144818976
+SH.603288,海天味业,2023-12-29,37.290000000000006,2024-09-23,36.28,2021-01-14,122.858,114.411,2021-01-14,114.411,2024-01-17,33.04,31.973,2024-08-29,31.589,2024-10-18,43.09,0.15553767766157134,0.1877067254685778,239606000000.0,40.046,1.53,0.0,0.3507301111852708,0.3500187918993803,1.304176755447942,1.2524942920589248,0.3500187918993803,1.2677197758713477
+SH.603296,华勤技术,2023-12-29,56.2456175,2024-09-23,45.66,2024-05-31,60.3268,22.82,2024-05-31,22.82,2024-02-05,37.0331,13.339,2024-02-05,13.339,2024-10-18,57.5,0.022301870896874743,0.2593079281646957,58413700000.0,21.503,1.49,0.0,0.9531418871877839,0.942287467134093,1.5526650482946338,1.6120398830497038,0.942287467134093,1.6120398830497038
+SH.603369,今世缘,2023-12-29,47.76,2024-09-23,38.27,2023-04-04,64.6345,34.503,2021-01-06,56.434,2024-09-13,35.59,12.584,2024-09-13,12.584,2024-10-18,45.49,-0.04752931323283072,0.18865952443166978,57067200000.0,16.085,2.2,0.0,0.703803696168455,0.4661913456800858,1.2781680247260465,1.2782104259376987,0.2850232129567282,1.2782104259376987
+SH.603392,万泰生物,2023-12-29,74.8103,2024-09-23,69.24,2021-08-05,144.122,199.728,2024-07-19,734.851,2023-10-26,40.6103,13.86,2024-08-22,0.0,2024-10-18,72.3,-0.0335555398120313,0.04419410745233976,91468400000.0,-469.48,0.44,0.0,0.5016583172589888,-2.3505968116638627,1.780336515613034,-33.87301587301587,-0.6388778133254225,
+SH.603501,韦尔股份,2023-12-29,106.57199999999999,2024-09-23,82.7,2021-07-12,252.4,89.86,2023-07-11,448.104,2022-10-28,71.4781,18.863,2023-08-15,0.0,2024-10-18,110.2,0.03404271290770566,0.3325272067714631,133830000000.0,75.634,0.13,0.0,0.436608557844691,0.8416870687736479,1.541730963749736,4.009648518263266,0.1687867102279828,
+SH.603659,璞泰来,2023-12-29,20.79,2024-09-23,10.67,2021-11-08,66.6591,91.245,2021-07-12,133.827,2024-09-20,10.52,15.335,2024-02-05,13.336,2024-10-18,14.17,-0.3184223184223184,0.32802249297094654,30283600000.0,19.901,0.99,0.0,0.21257412716343307,0.21810510164940544,1.346958174904943,1.297750244538637,0.14870691265589156,1.4922765446910617
+SH.603799,华友钴业,2023-12-29,31.942899999999998,2024-09-23,21.72,2021-07-12,113.651,111.551,2021-02-22,185.51,2024-07-08,21.13,12.584,2024-02-05,9.825,2024-10-18,28.95,-0.09369531257337305,0.3328729281767957,49134300000.0,14.628,3.45,0.0,0.2547271911377815,0.1311328450663822,1.3700899195456697,1.162428480610299,0.07885289202738398,1.4888549618320612
+SH.603806,福斯特,2023-12-29,17.1501083,2024-09-23,13.55,2021-08-30,59.6173,77.816,2021-08-30,77.816,2024-07-09,13.29,17.282,2024-07-09,17.282,2024-10-18,15.97,-0.06881054506227224,0.1785977859778598,41661500000.0,21.997,1.16,0.0,0.2678752643947311,0.2826796545697543,1.2016553799849512,1.2728272190718666,0.2826796545697543,1.2728272190718666
+SH.603833,欧派家居,2023-12-29,66.87,2024-09-23,46.83,2021-04-09,162.945,53.703,2021-04-09,53.703,2024-09-09,40.46,8.519,2024-08-28,8.171,2024-10-18,56.44,-0.15597427845072542,0.2052103352551784,34380600000.0,11.884,4.89,0.0,0.34637454355764213,0.22129117553954156,1.3949579831932772,1.3949994130766523,0.22129117553954156,1.4544119446824135
+SH.603899,晨光股份,2023-12-29,36.7525,2024-09-23,26.49,2021-01-25,95.604,77.593,2021-01-25,77.593,2024-09-18,25.28,15.02,2024-09-18,15.02,2024-10-18,29.95,-0.18508944969729946,0.1306153265383163,27668700000.0,17.795,2.67,0.0,0.3132714112380235,0.2293376979882206,1.1847310126582278,1.1847536617842878,0.2293376979882206,1.1847536617842878
+SH.603986,兆易创新,2023-12-29,92.39,2024-09-23,65.13,2021-07-30,228.37,150.654,2024-07-16,302.438,2024-02-05,57.92,98.003,2022-10-13,17.833,2024-10-18,87.74,-0.05033012230760914,0.34715185014586214,58423600000.0,170.7,0.0,0.0,0.3842010771992818,1.1330598590146959,1.5148480662983423,1.7417834147934246,0.5644132020447166,9.5721415353558
+SH.603993,洛阳钼业,2023-12-29,5.047540000000001,2024-09-23,7.39,2024-04-19,9.32754,24.816,2021-02-22,73.786,2022-10-24,3.91345,13.091,2024-09-13,10.883,2024-10-18,8.0,0.5849304809867775,0.08254397834912042,172794000000.0,13.333,1.93,0.0,0.8576752284096342,0.5372743391360413,2.044232071445911,1.0184859827362311,0.1806982354376169,1.2251217495175963
+SH.605117,德业股份,2023-12-29,58.428931000000006,2024-09-23,82.99,2022-09-26,177.447,134.64,2022-08-16,147.236,2021-04-20,10.4009,21.039,2023-12-14,11.103,2024-10-18,86.75,0.48470968945161763,0.045306663453428264,55932100000.0,31.73,1.73,0.0,0.4888783693159084,0.23566547831253717,8.340624369044987,1.508151528114454,0.21550436034665438,2.8577861839142575
+SH.605499,东鹏饮料,2023-12-29,180.01,2024-09-23,224.96,2021-07-07,277.5,113.954,2021-07-07,113.954,2021-05-27,59.13,26.641,2021-05-27,26.641,2024-10-18,217.1,0.20604410866062994,-0.034939544807965905,112895000000.0,42.402,1.77,0.0,0.7823423423423423,0.3720975130315742,3.6715711144934886,1.5916069216620998,0.3720975130315742,1.5916069216620998
+SH.688008,澜起科技,2023-12-29,58.463699999999996,2024-09-23,48.5,2021-01-15,98.2047,105.185,2023-12-14,131.321,2022-10-11,42.3637,40.49,2022-10-11,40.49,2024-10-18,68.95,0.1793642892940408,0.42164948453608253,78778000000.0,81.888,0.44,0.0,0.7021048890735372,0.7785140466796597,1.6275726624444984,2.02242529019511,0.62357124907669,2.02242529019511
+SH.688009,中国通号,2023-12-29,4.21,2024-09-23,4.84,2023-04-25,6.37,19.562,2024-09-30,20.488,2022-04-26,3.61,13.333,2024-01-23,11.911,2024-10-18,6.45,0.5320665083135392,0.3326446280991737,68304300000.0,21.009,2.64,0.0,1.012558869701727,1.07396994172375,1.7867036011080333,1.5757143928598214,1.0254295197188599,1.7638317521618672
+SH.688012,中微公司,2023-12-29,153.301,2024-09-23,117.3,2021-07-30,229.391,234.103,2021-01-18,296.116,2022-10-13,79.651,45.617,2024-02-05,44.941,2024-10-18,185.65,0.21101623603238084,0.5826939471440751,115345000000.0,88.742,0.16,0.0,0.8093168432937649,0.3790724595583995,2.330793084832582,1.945371243176886,0.29968660930176017,1.9746334082463675
+SH.688036,传音控股,2023-12-29,96.714876,2024-09-23,89.1,2021-02-10,170.444,81.425,2021-02-10,81.425,2022-10-11,33.6359,11.519,2022-10-11,11.519,2024-10-18,95.59,-0.011630847771546549,0.07283950617283952,109006000000.0,17.335,4.48,0.0,0.5608293633099435,0.212895302425545,2.841904037055646,1.5049049396649015,0.212895302425545,1.5049049396649015
+SH.688041,海光信息,2023-12-29,70.87002000000001,2024-09-23,75.51,2024-09-30,103.28,166.849,2023-04-25,285.404,2022-10-19,37.65,104.132,2022-10-19,104.132,2024-10-18,132.99,0.8765339702175898,0.7612236789829161,309114000000.0,163.78,0.08,0.0,1.2876646010844308,0.9816061229015458,3.532270916334662,1.5728114316444513,0.5738532045801741,1.5728114316444513
+SH.688082,盛美上海,2023-12-29,103.78363999999999,2024-09-23,77.66,2021-11-22,136.902,268.287,2021-11-22,268.287,2022-10-13,68.3516,72.77,2024-02-05,35.333,2024-10-18,113.41,0.09275411808643441,0.46033994334277617,49464200000.0,54.107,0.55,0.0,0.8284027990825554,0.2016758173150395,1.6592150000877812,0.7435344235261784,0.2016758173150395,1.5313446353267484
+SH.688111,金山办公,2023-12-29,315.32069,2024-09-23,184.33,2023-06-20,515.391,210.419,2021-01-22,286.412,2022-04-26,155.691,69.942,2024-09-02,54.137,2024-10-18,284.5,-0.09774395076961173,0.5434275484185971,131589000000.0,91.39,0.31,0.0,0.5520080870639961,0.43432389660629506,1.8273374825776698,1.306654084813131,0.3190857924947279,1.6881245728429723
+SH.688126,沪硅产业,2023-12-29,17.28,2024-09-23,13.85,2021-08-02,37.79,630.5,2021-04-28,675.714,2024-04-16,12.36,182.352,2021-01-04,0.0,2024-10-18,22.73,0.3153935185185184,0.6411552346570397,62443300000.0,-160.07,0.18,0.0,0.6014818735115111,-0.25387787470261697,1.8389967637540454,-0.8778077564271299,-0.23689016358992115,
+SH.688187,时代电气,2023-12-29,35.55,2024-09-23,42.62,2021-11-30,85.83,57.181,2021-11-30,57.181,2024-02-05,31.32,14.923,2024-02-05,14.923,2024-10-18,52.71,0.4827004219409283,0.2367433129985923,74402300000.0,21.514,1.48,0.0,0.6141209367354072,0.3762438572253021,1.6829501915708813,1.441667225088789,0.3762438572253021,1.441667225088789
+SH.688223,晶科能源,2023-12-29,8.636999999999999,2024-09-23,6.27,2022-08-16,18.608,145.538,2022-08-16,145.538,2024-09-23,6.27,13.062,2024-08-22,9.741,2024-10-18,8.55,-0.010072941993747642,0.36363636363636376,85544500000.0,17.812,2.62,0.0,0.45947979363714536,0.12238728029792906,1.3636363636363638,1.3636502832644313,0.12238728029792906,1.828559696129761
+SH.688256,寒武纪,2023-12-29,134.96,2024-09-23,212.61,2024-09-30,289.16,0.0,2021-01-04,0.0,2022-04-26,47.3,0.0,2021-01-04,0.0,2024-10-18,429.71,2.1839804386484882,1.0211184798457267,179385000000.0,-215.177,0.0,0.0,1.486063079264075,,9.084778012684989,,,
+SH.688271,联影医疗,2023-12-29,136.76,2024-09-23,92.81,2022-10-14,214.429,114.725,2022-10-14,114.725,2024-09-23,92.81,38.494,2024-09-23,38.494,2024-10-18,115.7,-0.15399239543726229,0.24663290593686016,95355100000.0,47.988,0.32,0.0,0.5395725391621469,0.41828720854216606,1.2466329059368602,1.2466358393515873,0.41828720854216606,1.2466358393515873
+SH.688303,大全能源,2023-12-29,29.15353,2024-09-23,18.84,2021-08-31,86.4135,60.525,2021-08-05,101.753,2024-08-27,17.14,55.112,2023-05-09,4.664,2024-10-18,26.03,-0.10714071332013653,0.3816348195329087,55832700000.0,83.697,1.61,0.0,0.30122608157290237,1.3828500619578687,1.5186697782963827,1.5186710698214545,0.8225506864662467,17.945325900514582
+SH.688363,华熙生物,2023-12-29,66.55262,2024-09-23,45.4,2021-07-15,305.113,213.49,2021-07-15,213.49,2024-09-18,44.97,42.504,2024-04-12,31.604,2024-10-18,60.6,-0.08944230895793437,0.3348017621145376,29189700000.0,57.277,0.63,0.0,0.1986149393831138,0.26828891282964074,1.3475650433622415,1.3475672877846792,0.26828891282964074,1.8123338817871157
+SH.688396,华润微,2023-12-29,44.578199999999995,2024-09-23,34.15,2021-07-30,99.5181,105.596,2021-04-29,109.289,2024-08-22,33.98,39.742,2022-10-10,23.095,2024-10-18,52.23,0.17164892256753306,0.529428989751098,69127300000.0,70.39,0.21,0.0,0.5248291516819553,0.6665972195916512,1.53708063566804,1.7711740727693626,0.6440721390075854,3.04784585408097
+SH.688599,天合光能,2023-12-29,27.900920000000003,2024-09-23,16.04,2022-08-16,85.773,88.925,2021-12-13,113.368,2021-05-13,14.073,24.667,2024-04-25,6.838,2024-10-18,21.52,-0.22869926869794988,0.3416458852867832,46899900000.0,18.632,2.94,0.0,0.2508948037261143,0.20952488051728987,1.5291693313437078,0.7553411440385941,0.16434972831839675,2.724773325533782
+SH.688981,中芯国际,2023-12-29,53.02,2024-09-23,43.43,2021-08-06,67.46,108.108,2021-01-14,282.555,2022-10-11,36.83,24.834,2022-08-02,24.546,2024-10-18,90.14,0.7001131648434553,1.0755238314529127,718563000000.0,206.743,0.0,0.0,1.3361992291728433,1.9123746623746622,2.447461308715721,8.324997986631232,0.731691175169436,8.422675792389798

stockapp/shell/stat.sql

@@ -1,3 +1,7 @@
+-- 更新 hs_index 表中的code
+UPDATE hs_index SET code = CONCAT('SZ.' , code_inner) WHERE exchange_eng LIKE 'Shenzhen%' 
+UPDATE hs_index SET code = CONCAT('SH.' , code_inner) WHERE exchange_eng LIKE 'Shanghai%' 
+
 -- 校验使用复权因子计算出的前复权价格，与直接从接口读取的前复权价格的差异
 select a.code, a.time_key, a.close, b.qfq_close, a.close - b.qfq_close as diff 
 from stockdb.sp500_qfq_his_202410 a, stockdb.sp500_ajust_kline_202410 b

stockapp/src/config.py

@@ -1,15 +1,18 @@
 import logging
 import os
 import inspect
+import datetime
 
 # MySQL 配置
 db_config = {
-    'host': '172.18.0.2',
+    'host': '172.18.0.3',
     'user': 'root',
     'password': 'mysqlpw',
     'database': 'stockdb'
 }
 
+log_dir_prefix = '../log'
+
 # 设置日志配置
 def setup_logging(log_filename=None):
     # 如果未传入 log_filename，则使用当前脚本名称作为日志文件名
@@ -17,10 +20,14 @@ def setup_logging(log_filename=None):
         # 获取调用 setup_logging 的脚本文件名
         caller_frame = inspect.stack()[1]
         caller_filename = os.path.splitext(os.path.basename(caller_frame.filename))[0]
-        log_filename = './log/' + caller_filename + '.log'
+
+        # 获取当前日期，格式为 yyyymmdd
+        current_date = datetime.now().strftime('%Y%m%d')
+        # 拼接 log 文件名，将日期加在扩展名前
+        log_filename = f'{log_dir_prefix}/{caller_filename}_{current_date}.log'
     
-    logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] - %(message)s',
+    logging.basicConfig(level=logging.INFO, format='%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] (%(funcName)s) - %(message)s',
                         handlers=[
                             logging.FileHandler(log_filename),
                             logging.StreamHandler()
-                        ])
+                        ])

stockapp/src/crawling/fund_etf_em.py

@@ -0,0 +1,360 @@
+#!/usr/bin/env python
+# -*- coding:utf-8 -*-
+"""
+Date: 2023/1/4 12:18
+Desc: 东方财富-ETF 行情
+https://quote.eastmoney.com/sh513500.html
+"""
+from functools import lru_cache
+
+import pandas as pd
+import requests
+
+
+def fund_etf_spot_em() -> pd.DataFrame:
+    """
+    东方财富-ETF 实时行情
+    https://quote.eastmoney.com/center/gridlist.html#fund_etf
+    :return: ETF 实时行情
+    :rtype: pandas.DataFrame
+    """
+    url = "http://88.push2.eastmoney.com/api/qt/clist/get"
+    params = {
+        "pn": "1",
+        "pz": "2000",
+        "po": "1",
+        "np": "1",
+        "ut": "bd1d9ddb04089700cf9c27f6f7426281",
+        "fltt": "2",
+        "invt": "2",
+        "wbp2u": "|0|0|0|web",
+        "fid": "f3",
+        "fs": "b:MK0021,b:MK0022,b:MK0023,b:MK0024",
+        "fields": "f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f12,f13,f14,f15,f16,f17,f18,f20,f21,f23,f24,f25,f22,f11,f62,f128,f136,f115,f152",
+        "_": "1672806290972",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    temp_df = pd.DataFrame(data_json["data"]["diff"])
+    temp_df.rename(
+        columns={
+            "f12": "代码",
+            "f14": "名称",
+            "f2": "最新价",
+            "f3": "涨跌幅",
+            "f4": "涨跌额",
+            "f5": "成交量",
+            "f6": "成交额",
+            "f17": "开盘价",
+            "f15": "最高价",
+            "f16": "最低价",
+            "f18": "昨收",
+            "f8": "换手率",
+            "f21": "流通市值",
+            "f20": "总市值",
+        },
+        inplace=True,
+    )
+    temp_df = temp_df[
+        [
+            "代码",
+            "名称",
+            "最新价",
+            "涨跌幅",
+            "涨跌额",
+            "成交量",
+            "成交额",
+            "开盘价",
+            "最高价",
+            "最低价",
+            "昨收",
+            "换手率",
+            "流通市值",
+            "总市值",
+        ]
+    ]
+    temp_df["最新价"] = pd.to_numeric(temp_df["最新价"], errors="coerce")
+    temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce")
+    temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"], errors="coerce")
+    temp_df["成交量"] = pd.to_numeric(temp_df["成交量"], errors="coerce")
+    temp_df["成交额"] = pd.to_numeric(temp_df["成交额"], errors="coerce")
+    temp_df["开盘价"] = pd.to_numeric(temp_df["开盘价"], errors="coerce")
+    temp_df["最高价"] = pd.to_numeric(temp_df["最高价"], errors="coerce")
+    temp_df["最低价"] = pd.to_numeric(temp_df["最低价"], errors="coerce")
+    temp_df["昨收"] = pd.to_numeric(temp_df["昨收"], errors="coerce")
+    temp_df["换手率"] = pd.to_numeric(temp_df["换手率"], errors="coerce")
+    temp_df["流通市值"] = pd.to_numeric(temp_df["流通市值"], errors="coerce")
+    temp_df["总市值"] = pd.to_numeric(temp_df["总市值"], errors="coerce")
+    return temp_df
+
+
+@lru_cache()
+def _fund_etf_code_id_map_em() -> dict:
+    """
+    东方财富-ETF 代码和市场标识映射
+    https://quote.eastmoney.com/center/gridlist.html#fund_etf
+    :return: ETF 代码和市场标识映射
+    :rtype: pandas.DataFrame
+    """
+    url = "http://88.push2.eastmoney.com/api/qt/clist/get"
+    params = {
+        "pn": "1",
+        "pz": "5000",
+        "po": "1",
+        "np": "1",
+        "ut": "bd1d9ddb04089700cf9c27f6f7426281",
+        "fltt": "2",
+        "invt": "2",
+        "wbp2u": "|0|0|0|web",
+        "fid": "f3",
+        "fs": "b:MK0021,b:MK0022,b:MK0023,b:MK0024",
+        "fields": "f12,f13",
+        "_": "1672806290972",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    temp_df = pd.DataFrame(data_json["data"]["diff"])
+    temp_dict = dict(zip(temp_df["f12"], temp_df["f13"]))
+    return temp_dict
+
+def fund_etf_hist_em(
+    symbol: str = "159707",
+    period: str = "daily",
+    start_date: str = "19700101",
+    end_date: str = "20500101",
+    adjust: str = "",
+) -> pd.DataFrame:
+    """
+    东方财富-ETF 行情
+    https://quote.eastmoney.com/sz159707.html
+    :param symbol: ETF 代码
+    :type symbol: str
+    :param period: choice of {'daily', 'weekly', 'monthly'}
+    :type period: str
+    :param start_date: 开始日期
+    :type start_date: str
+    :param end_date: 结束日期
+    :type end_date: str
+    :param adjust: choice of {"qfq": "前复权", "hfq": "后复权", "": "不复权"}
+    :type adjust: str
+    :return: 每日行情
+    :rtype: pandas.DataFrame
+    """
+    code_id_dict = _fund_etf_code_id_map_em()
+    adjust_dict = {"qfq": "1", "hfq": "2", "": "0"}
+    period_dict = {"daily": "101", "weekly": "102", "monthly": "103"}
+    url = "http://push2his.eastmoney.com/api/qt/stock/kline/get"
+    params = {
+        "fields1": "f1,f2,f3,f4,f5,f6",
+        "fields2": "f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61,f116",
+        "ut": "7eea3edcaed734bea9cbfc24409ed989",
+        "klt": period_dict[period],
+        "fqt": adjust_dict[adjust],
+        "secid": f"{code_id_dict[symbol]}.{symbol}",
+        "beg": start_date,
+        "end": end_date,
+        "_": "1623766962675",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    if not (data_json["data"] and data_json["data"]["klines"]):
+        return pd.DataFrame()
+    temp_df = pd.DataFrame([item.split(",") for item in data_json["data"]["klines"]])
+    temp_df.columns = [
+        "日期",
+        "开盘",
+        "收盘",
+        "最高",
+        "最低",
+        "成交量",
+        "成交额",
+        "振幅",
+        "涨跌幅",
+        "涨跌额",
+        "换手率",
+    ]
+    temp_df.index = pd.to_datetime(temp_df["日期"])
+    temp_df.reset_index(inplace=True, drop=True)
+
+    temp_df["开盘"] = pd.to_numeric(temp_df["开盘"])
+    temp_df["收盘"] = pd.to_numeric(temp_df["收盘"])
+    temp_df["最高"] = pd.to_numeric(temp_df["最高"])
+    temp_df["最低"] = pd.to_numeric(temp_df["最低"])
+    temp_df["成交量"] = pd.to_numeric(temp_df["成交量"])
+    temp_df["成交额"] = pd.to_numeric(temp_df["成交额"])
+    temp_df["振幅"] = pd.to_numeric(temp_df["振幅"])
+    temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"])
+    temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"])
+    temp_df["换手率"] = pd.to_numeric(temp_df["换手率"])
+    return temp_df
+
+
+def fund_etf_hist_min_em(
+    symbol: str = "159707",
+    start_date: str = "1979-09-01 09:32:00",
+    end_date: str = "2222-01-01 09:32:00",
+    period: str = "5",
+    adjust: str = "",
+) -> pd.DataFrame:
+    """
+    东方财富-ETF 行情
+    https://quote.eastmoney.com/sz159707.html
+    :param symbol: ETF 代码
+    :type symbol: str
+    :param start_date: 开始日期
+    :type start_date: str
+    :param end_date: 结束日期
+    :type end_date: str
+    :param period: choice of {'1', '5', '15', '30', '60'}
+    :type period: str
+    :param adjust: choice of {'', 'qfq', 'hfq'}
+    :type adjust: str
+    :return: 每日分时行情
+    :rtype: pandas.DataFrame
+    """
+    code_id_dict = _fund_etf_code_id_map_em()
+    adjust_map = {
+        "": "0",
+        "qfq": "1",
+        "hfq": "2",
+    }
+    if period == "1":
+        url = "https://push2his.eastmoney.com/api/qt/stock/trends2/get"
+        params = {
+            "fields1": "f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13",
+            "fields2": "f51,f52,f53,f54,f55,f56,f57,f58",
+            "ut": "7eea3edcaed734bea9cbfc24409ed989",
+            "ndays": "5",
+            "iscr": "0",
+            "secid": f"{code_id_dict[symbol]}.{symbol}",
+            "_": "1623766962675",
+        }
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(
+            [item.split(",") for item in data_json["data"]["trends"]]
+        )
+        temp_df.columns = [
+            "时间",
+            "开盘",
+            "收盘",
+            "最高",
+            "最低",
+            "成交量",
+            "成交额",
+            "最新价",
+        ]
+        temp_df.index = pd.to_datetime(temp_df["时间"])
+        temp_df = temp_df[start_date:end_date]
+        temp_df.reset_index(drop=True, inplace=True)
+        temp_df["开盘"] = pd.to_numeric(temp_df["开盘"])
+        temp_df["收盘"] = pd.to_numeric(temp_df["收盘"])
+        temp_df["最高"] = pd.to_numeric(temp_df["最高"])
+        temp_df["最低"] = pd.to_numeric(temp_df["最低"])
+        temp_df["成交量"] = pd.to_numeric(temp_df["成交量"])
+        temp_df["成交额"] = pd.to_numeric(temp_df["成交额"])
+        temp_df["最新价"] = pd.to_numeric(temp_df["最新价"])
+        temp_df["时间"] = pd.to_datetime(temp_df["时间"]).astype(str)
+        return temp_df
+    else:
+        url = "http://push2his.eastmoney.com/api/qt/stock/kline/get"
+        params = {
+            "fields1": "f1,f2,f3,f4,f5,f6",
+            "fields2": "f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61",
+            "ut": "7eea3edcaed734bea9cbfc24409ed989",
+            "klt": period,
+            "fqt": adjust_map[adjust],
+            "secid": f"{code_id_dict[symbol]}.{symbol}",
+            "beg": "0",
+            "end": "20500000",
+            "_": "1630930917857",
+        }
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(
+            [item.split(",") for item in data_json["data"]["klines"]]
+        )
+        temp_df.columns = [
+            "时间",
+            "开盘",
+            "收盘",
+            "最高",
+            "最低",
+            "成交量",
+            "成交额",
+            "振幅",
+            "涨跌幅",
+            "涨跌额",
+            "换手率",
+        ]
+        temp_df.index = pd.to_datetime(temp_df["时间"])
+        temp_df = temp_df[start_date:end_date]
+        temp_df.reset_index(drop=True, inplace=True)
+        temp_df["开盘"] = pd.to_numeric(temp_df["开盘"])
+        temp_df["收盘"] = pd.to_numeric(temp_df["收盘"])
+        temp_df["最高"] = pd.to_numeric(temp_df["最高"])
+        temp_df["最低"] = pd.to_numeric(temp_df["最低"])
+        temp_df["成交量"] = pd.to_numeric(temp_df["成交量"])
+        temp_df["成交额"] = pd.to_numeric(temp_df["成交额"])
+        temp_df["振幅"] = pd.to_numeric(temp_df["振幅"])
+        temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"])
+        temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"])
+        temp_df["换手率"] = pd.to_numeric(temp_df["换手率"])
+        temp_df["时间"] = pd.to_datetime(temp_df["时间"]).astype(str)
+        temp_df = temp_df[
+            [
+                "时间",
+                "开盘",
+                "收盘",
+                "最高",
+                "最低",
+                "涨跌幅",
+                "涨跌额",
+                "成交量",
+                "成交额",
+                "振幅",
+                "换手率",
+            ]
+        ]
+        return temp_df
+
+
+if __name__ == "__main__":
+    fund_etf_spot_em_df = fund_etf_spot_em()
+    print(fund_etf_spot_em_df)
+
+    fund_etf_hist_hfq_em_df = fund_etf_hist_em(
+        symbol="513500",
+        period="daily",
+        start_date="20000101",
+        end_date="20230201",
+        adjust="hfq",
+    )
+    print(fund_etf_hist_hfq_em_df)
+
+    fund_etf_hist_qfq_em_df = fund_etf_hist_em(
+        symbol="513500",
+        period="daily",
+        start_date="20000101",
+        end_date="20230201",
+        adjust="qfq",
+    )
+    print(fund_etf_hist_qfq_em_df)
+
+    fund_etf_hist_em_df = fund_etf_hist_em(
+        symbol="513500",
+        period="daily",
+        start_date="20000101",
+        end_date="20230201",
+        adjust="",
+    )
+    print(fund_etf_hist_em_df)
+
+    fund_etf_hist_min_em_df = fund_etf_hist_min_em(
+        symbol="513500",
+        period="5",
+        adjust="hfq",
+        start_date="2023-01-01 09:32:00",
+        end_date="2023-01-04 14:40:00",
+    )
+    print(fund_etf_hist_min_em_df)

stockapp/src/crawling/stock_cpbd.py

@@ -0,0 +1,139 @@
+# -*- coding:utf-8 -*-
+# !/usr/bin/env python
+
+import pandas as pd
+import requests
+import instock.core.tablestructure as tbs
+
+__author__ = 'myh '
+__date__ = '2023/5/7 '
+
+
+
+def stock_cpbd_em(symbol: str = "688041") -> pd.DataFrame:
+    """
+    东方财富网-个股-操盘必读
+    https://emweb.securities.eastmoney.com/PC_HSF10/OperationsRequired/Index?type=web&code=SH688041#
+    :param symbol: 带市场标识的股票代码
+    :type symbol: str
+    :return: 操盘必读
+    :rtype: pandas.DataFrame
+    """
+    url = "https://emweb.securities.eastmoney.com/PC_HSF10/OperationsRequired/PageAjax"
+    if symbol.startswith("6"):
+        symbol = f"SH{symbol}"
+    else:
+        symbol = f"SZ{symbol}"
+    params = {"code": symbol}
+
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    zxzb = data_json["zxzb"]  # 主要指标
+    if len(zxzb) < 1:
+        return None
+
+    data_dict = zxzb[0]
+    zxzbOther = data_json["zxzbOther"]  # 其它指标,计算出来
+    if len(zxzbOther) > 0:
+        zxzbOther = zxzbOther[0]
+        data_dict = {**data_dict, **zxzbOther}
+
+    # zxzbhq = data_json["zxzbhq"]  # 其它指标,计算出来
+    # if len(zxzbhq) > 0:
+    #     data_dict = {**data_dict, **zxzbhq}
+
+    _ssbks = data_json["ssbk"]  # 所属板块
+    ssbk = None
+    for s in _ssbks:
+        _v = s.get('BOARD_NAME')
+        if _v is not None:
+            if ssbk is None:
+                ssbk = f"{_v}"
+            else:
+                ssbk = f"{ssbk}、{_v}"
+    data_dict["BOARD_NAME"] = ssbk
+
+    gdrs = data_json["gdrs"]  # 股东分析
+    if len(gdrs) > 0:
+        gdrs = gdrs[0]
+        data_dict = {**data_dict, **gdrs}
+
+    lhbd = data_json["lhbd"]  # 龙虎榜单
+    if len(lhbd) > 0:
+        lhbd = lhbd[0]
+        lhbd["LHBD_DATE"] = lhbd.pop("TRADE_DATE")
+        data_dict = {**data_dict, **lhbd}
+
+    dzjy = data_json["dzjy"]  # 大宗交易
+    if len(dzjy) > 0:
+        dzjy = dzjy[0]
+        dzjy["DZJY_DATE"] = dzjy.pop("TRADE_DATE")
+        data_dict = {**data_dict, **dzjy}
+
+    rzrq = data_json["rzrq"]  # 融资融券
+    if len(rzrq) > 0:
+        rzrq = rzrq[0]
+        rzrq["RZRQ_DATE"] = rzrq.pop("TRADE_DATE")
+        data_dict = {**data_dict, **rzrq}
+
+    tbs.CN_STOCK_CPBD
+
+
+    # temp_df["报告期"] = pd.to_datetime(temp_df["报告期"], errors="coerce").dt.date
+    # temp_df["每股收益"] = pd.to_numeric(temp_df["每股收益"], errors="coerce")
+    # temp_df["每股净资产"] = pd.to_numeric(temp_df["每股净资产"], errors="coerce")
+    # temp_df["每股经营现金流"] = pd.to_numeric(temp_df["每股经营现金流"], errors="coerce")
+    # temp_df["每股公积金"] = pd.to_numeric(temp_df["每股公积金"], errors="coerce")
+    # temp_df["每股未分配利润"] = pd.to_numeric(temp_df["每股未分配利润"], errors="coerce")
+    # temp_df["加权净资产收益率"] = pd.to_numeric(temp_df["加权净资产收益率"], errors="coerce")
+    # temp_df["毛利率"] = pd.to_numeric(temp_df["毛利率"], errors="coerce")
+    # temp_df["资产负债率"] = pd.to_numeric(temp_df["资产负债率"], errors="coerce")
+    # temp_df["营业收入"] = pd.to_numeric(temp_df["营业收入"], errors="coerce")
+    # temp_df["营业收入滚动环比增长"] = pd.to_numeric(temp_df["营业收入同比增长"], errors="coerce")
+    # temp_df["营业收入同比增长"] = pd.to_numeric(temp_df["营业收入同比增长"], errors="coerce")
+    # temp_df["归属净利润"] = pd.to_numeric(temp_df["归属净利润"], errors="coerce")
+    # temp_df["归属净利润滚动环比增长"] = pd.to_numeric(temp_df["归属净利润滚动环比增长"], errors="coerce")
+    # temp_df["归属净利润同比增长"] = pd.to_numeric(temp_df["归属净利润同比增长"], errors="coerce")
+    # temp_df["扣非净利润"] = pd.to_numeric(temp_df["归属净利润"], errors="coerce")
+    # temp_df["扣非净利润滚动环比增长"] = pd.to_numeric(temp_df["扣非净利润滚动环比增长"], errors="coerce")
+    # temp_df["扣非净利润同比增长"] = pd.to_numeric(temp_df["扣非净利润同比增长"], errors="coerce")
+    # temp_df["总股本"] = pd.to_numeric(temp_df["总股本"], errors="coerce")
+    # temp_df["已流通股份"] = pd.to_numeric(temp_df["已流通股份"], errors="coerce")
+
+
+def stock_zjlx_em(symbol: str = "688041") -> pd.DataFrame:
+    """
+    东方财富网-个股-资金流向
+    https://data.eastmoney.com/zjlx/688041.html
+    :param symbol: 带市场标识的股票代码
+    :type symbol: str
+    :return: 操盘必读
+    :rtype: pandas.DataFrame
+    """
+    url = "https://push2his.eastmoney.com/api/qt/stock/fflow/daykline/get"
+    if symbol.startswith("6"):
+        symbol = f"1.{symbol}"
+    else:
+        symbol = f"0.{symbol}"
+    params = {
+        "lmt": "0",
+        "klt": "1",
+        "fields1": "f1,f2,f3,f7",
+        "fields2": "f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61,f62,f63,f64,f65",
+        "ut": "b2884a393a59ad64002292a3e90d46a5",
+        "secid": symbol
+    }
+
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    klines = data_json["klines"]  # 主要指标
+    "日期","主力净流入额","小单净流入额","中单净流入额","大单净流入额","超大单净流入额","主力净流入占比", "小单净流入占比", "中单净流入占比", "大单净流入占比", "超大单净流入占比"
+    "收盘价","涨跌幅"
+    if len(klines) < 1:
+        return None
+
+
+
+if __name__ == "__main__":
+    stock_cpbd_em_df = stock_cpbd_em(symbol="688041")
+    print(stock_cpbd_em_df)

stockapp/src/crawling/stock_dzjy_em.py

@@ -0,0 +1,535 @@
+#!/usr/bin/env python
+# -*- coding:utf-8 -*-
+"""
+Date: 2022/5/16 15:31
+Desc: 东方财富网-数据中心-大宗交易-市场统计
+http://data.eastmoney.com/dzjy/dzjy_sctj.aspx
+"""
+import pandas as pd
+import requests
+
+
+def stock_dzjy_sctj() -> pd.DataFrame:
+    """
+    东方财富网-数据中心-大宗交易-市场统计
+    http://data.eastmoney.com/dzjy/dzjy_sctj.aspx
+    :return: 市场统计表
+    :rtype: pandas.DataFrame
+    """
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        'sortColumns': 'TRADE_DATE',
+        'sortTypes': '-1',
+        'pageSize': '500',
+        'pageNumber': '1',
+        'reportName': 'PRT_BLOCKTRADE_MARKET_STA',
+        'columns': 'TRADE_DATE,SZ_INDEX,SZ_CHANGE_RATE,BLOCKTRADE_DEAL_AMT,PREMIUM_DEAL_AMT,PREMIUM_RATIO,DISCOUNT_DEAL_AMT,DISCOUNT_RATIO',
+        'source': 'WEB',
+        'client': 'WEB',
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    total_page = int(data_json['result']["pages"])
+    big_df = pd.DataFrame()
+    for page in range(1, total_page+1):
+        params.update({'pageNumber': page})
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(data_json['result']["data"])
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df.reset_index(inplace=True)
+    big_df['index'] = big_df['index'] + 1
+    big_df.columns = [
+        "序号",
+        "交易日期",
+        "上证指数",
+        "上证指数涨跌幅",
+        "大宗交易成交总额",
+        "溢价成交总额",
+        "溢价成交总额占比",
+        "折价成交总额",
+        "折价成交总额占比",
+    ]
+    big_df["交易日期"] = pd.to_datetime(big_df["交易日期"]).dt.date
+    big_df["上证指数"] = pd.to_numeric(big_df["上证指数"])
+    big_df["上证指数涨跌幅"] = pd.to_numeric(big_df["上证指数涨跌幅"])
+    big_df["大宗交易成交总额"] = pd.to_numeric(big_df["大宗交易成交总额"])
+    big_df["溢价成交总额"] = pd.to_numeric(big_df["溢价成交总额"])
+    big_df["溢价成交总额占比"] = pd.to_numeric(big_df["溢价成交总额占比"])
+    big_df["折价成交总额"] = pd.to_numeric(big_df["折价成交总额"])
+    big_df["折价成交总额占比"] = pd.to_numeric(big_df["折价成交总额占比"])
+    return big_df
+
+
+def stock_dzjy_mrmx(symbol: str = '基金', start_date: str = '20220104', end_date: str = '20220104') -> pd.DataFrame:
+    """
+    东方财富网-数据中心-大宗交易-每日明细
+    http://data.eastmoney.com/dzjy/dzjy_mrmxa.aspx
+    :param symbol: choice of {'A股', 'B股', '基金', '债券'}
+    :type symbol: str
+    :param start_date: 开始日期
+    :type start_date: str
+    :param end_date: 结束日期
+    :type end_date: str
+    :return: 每日明细
+    :rtype: pandas.DataFrame
+    """
+    symbol_map = {
+        'A股': '1',
+        'B股': '2',
+        '基金': '3',
+        '债券': '4',
+    }
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        'sortColumns': 'SECURITY_CODE',
+        'sortTypes': '1',
+        'pageSize': '5000',
+        'pageNumber': '1',
+        'reportName': 'RPT_DATA_BLOCKTRADE',
+        'columns': 'TRADE_DATE,SECURITY_CODE,SECUCODE,SECURITY_NAME_ABBR,CHANGE_RATE,CLOSE_PRICE,DEAL_PRICE,PREMIUM_RATIO,DEAL_VOLUME,DEAL_AMT,TURNOVER_RATE,BUYER_NAME,SELLER_NAME,CHANGE_RATE_1DAYS,CHANGE_RATE_5DAYS,CHANGE_RATE_10DAYS,CHANGE_RATE_20DAYS,BUYER_CODE,SELLER_CODE',
+        'source': 'WEB',
+        'client': 'WEB',
+        'filter': f"""(SECURITY_TYPE_WEB={symbol_map[symbol]})(TRADE_DATE>='{'-'.join([start_date[:4], start_date[4:6], start_date[6:]])}')(TRADE_DATE<='{'-'.join([end_date[:4], end_date[4:6], end_date[6:]])}')"""
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    if not data_json['result']["data"]:
+        return pd.DataFrame()
+    temp_df = pd.DataFrame(data_json['result']["data"])
+    temp_df.reset_index(inplace=True)
+    temp_df['index'] = temp_df.index + 1
+    if symbol in {'A股'}:
+        temp_df.columns = [
+            "序号",
+            "交易日期",
+            "证券代码",
+            "-",
+            "证券简称",
+            "涨跌幅",
+            "收盘价",
+            "成交价",
+            "折溢率",
+            "成交量",
+            "成交额",
+            "成交额/流通市值",
+            "买方营业部",
+            "卖方营业部",
+            "_",
+            "_",
+            "_",
+            "_",
+            "_",
+            "_",
+        ]
+        temp_df["交易日期"] = pd.to_datetime(temp_df["交易日期"]).dt.date
+        temp_df = temp_df[[
+            "序号",
+            "交易日期",
+            "证券代码",
+            "证券简称",
+            "涨跌幅",
+            "收盘价",
+            "成交价",
+            "折溢率",
+            "成交量",
+            "成交额",
+            "成交额/流通市值",
+            "买方营业部",
+            "卖方营业部",
+        ]]
+        temp_df['涨跌幅'] = pd.to_numeric(temp_df['涨跌幅'])
+        temp_df['收盘价'] = pd.to_numeric(temp_df['收盘价'])
+        temp_df['成交价'] = pd.to_numeric(temp_df['成交价'])
+        temp_df['折溢率'] = pd.to_numeric(temp_df['折溢率'])
+        temp_df['成交量'] = pd.to_numeric(temp_df['成交量'])
+        temp_df['成交额'] = pd.to_numeric(temp_df['成交额'])
+        temp_df['成交额/流通市值'] = pd.to_numeric(temp_df['成交额/流通市值'])
+    if symbol in {'B股', '基金', '债券'}:
+        temp_df.columns = [
+            "序号",
+            "交易日期",
+            "证券代码",
+            "-",
+            "证券简称",
+            "-",
+            "-",
+            "成交价",
+            "-",
+            "成交量",
+            "成交额",
+            "-",
+            "买方营业部",
+            "卖方营业部",
+            "_",
+            "_",
+            "_",
+            "_",
+            "_",
+            "_",
+        ]
+        temp_df["交易日期"] = pd.to_datetime(temp_df["交易日期"]).dt.date
+        temp_df = temp_df[[
+            "序号",
+            "交易日期",
+            "证券代码",
+            "证券简称",
+            "成交价",
+            "成交量",
+            "成交额",
+            "买方营业部",
+            "卖方营业部",
+        ]]
+        temp_df['成交价'] = pd.to_numeric(temp_df['成交价'])
+        temp_df['成交量'] = pd.to_numeric(temp_df['成交量'])
+        temp_df['成交额'] = pd.to_numeric(temp_df['成交额'])
+    return temp_df
+
+
+def stock_dzjy_mrtj(start_date: str = '20220105', end_date: str = '20220105') -> pd.DataFrame:
+    """
+    东方财富网-数据中心-大宗交易-每日统计
+    http://data.eastmoney.com/dzjy/dzjy_mrtj.aspx
+    :param start_date: 开始日期
+    :type start_date: str
+    :param end_date: 结束日期
+    :type end_date: str
+    :return: 每日统计
+    :rtype: pandas.DataFrame
+    """
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        'sortColumns': 'TURNOVERRATE',
+        'sortTypes': '-1',
+        'pageSize': '5000',
+        'pageNumber': '1',
+        'reportName': 'RPT_BLOCKTRADE_STA',
+        'columns': 'TRADE_DATE,SECURITY_CODE,SECUCODE,SECURITY_NAME_ABBR,CHANGE_RATE,CLOSE_PRICE,AVERAGE_PRICE,PREMIUM_RATIO,DEAL_NUM,VOLUME,DEAL_AMT,TURNOVERRATE,D1_CLOSE_ADJCHRATE,D5_CLOSE_ADJCHRATE,D10_CLOSE_ADJCHRATE,D20_CLOSE_ADJCHRATE',
+        'source': 'WEB',
+        'client': 'WEB',
+        'filter': f"(TRADE_DATE>='{'-'.join([start_date[:4], start_date[4:6], start_date[6:]])}')(TRADE_DATE<='{'-'.join([end_date[:4], end_date[4:6], end_date[6:]])}')"
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    temp_df = pd.DataFrame(data_json['result']["data"])
+    temp_df.reset_index(inplace=True)
+    temp_df['index'] = temp_df.index + 1
+    temp_df.columns = [
+        "序号",
+        "交易日期",
+        "证券代码",
+        "-",
+        "证券简称",
+        "涨跌幅",
+        "收盘价",
+        "成交价",
+        "折溢率",
+        "成交笔数",
+        "成交总量",
+        "成交总额",
+        "成交总额/流通市值",
+        "_",
+        "_",
+        "_",
+        "_",
+    ]
+    temp_df["交易日期"] = pd.to_datetime(temp_df["交易日期"]).dt.date
+    temp_df = temp_df[[
+        "序号",
+        "交易日期",
+        "证券代码",
+        "证券简称",
+        "收盘价",
+        "涨跌幅",
+        "成交价",
+        "折溢率",
+        "成交笔数",
+        "成交总量",
+        "成交总额",
+        "成交总额/流通市值",
+    ]]
+    temp_df['涨跌幅'] = pd.to_numeric(temp_df['涨跌幅'])
+    temp_df['收盘价'] = pd.to_numeric(temp_df['收盘价'])
+    temp_df['成交价'] = pd.to_numeric(temp_df['成交价'])
+    temp_df['折溢率'] = pd.to_numeric(temp_df['折溢率'])
+    temp_df['成交笔数'] = pd.to_numeric(temp_df['成交笔数'])
+    temp_df['成交总量'] = pd.to_numeric(temp_df['成交总量'])
+    temp_df['成交总额'] = pd.to_numeric(temp_df['成交总额'])
+    temp_df['成交总额/流通市值'] = pd.to_numeric(temp_df['成交总额/流通市值'])
+    return temp_df
+
+
+def stock_dzjy_hygtj(symbol: str = '近三月') -> pd.DataFrame:
+    """
+    东方财富网-数据中心-大宗交易-活跃 A 股统计
+    http://data.eastmoney.com/dzjy/dzjy_hygtj.aspx
+    :param symbol: choice of {'近一月', '近三月', '近六月', '近一年'}
+    :type symbol: str
+    :return: 活跃 A 股统计
+    :rtype: pandas.DataFrame
+    """
+    period_map = {
+        '近一月': '1',
+        '近三月': '3',
+        '近六月': '6',
+        '近一年': '12',
+    }
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        'sortColumns': 'DEAL_NUM,SECURITY_CODE',
+        'sortTypes': '-1,-1',
+        'pageSize': '5000',
+        'pageNumber': '1',
+        'reportName': 'RPT_BLOCKTRADE_ACSTA',
+        'columns': 'SECURITY_CODE,SECUCODE,SECURITY_NAME_ABBR,CLOSE_PRICE,CHANGE_RATE,TRADE_DATE,DEAL_AMT,PREMIUM_RATIO,SUM_TURNOVERRATE,DEAL_NUM,PREMIUM_TIMES,DISCOUNT_TIMES,D1_AVG_ADJCHRATE,D5_AVG_ADJCHRATE,D10_AVG_ADJCHRATE,D20_AVG_ADJCHRATE,DATE_TYPE_CODE',
+        'source': 'WEB',
+        'client': 'WEB',
+        'filter': f'(DATE_TYPE_CODE={period_map[symbol]})',
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    total_page = data_json['result']["pages"]
+    big_df = pd.DataFrame()
+    for page in range(1, int(total_page)+1):
+        params.update({"pageNumber": page})
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(data_json['result']["data"])
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df.reset_index(inplace=True)
+    big_df['index'] = big_df.index + 1
+    big_df.columns = [
+        "序号",
+        "证券代码",
+        "_",
+        "证券简称",
+        "最新价",
+        "涨跌幅",
+        "最近上榜日",
+        "总成交额",
+        "折溢率",
+        "成交总额/流通市值",
+        "上榜次数-总计",
+        "上榜次数-溢价",
+        "上榜次数-折价",
+        "上榜日后平均涨跌幅-1日",
+        "上榜日后平均涨跌幅-5日",
+        "上榜日后平均涨跌幅-10日",
+        "上榜日后平均涨跌幅-20日",
+        "_",
+    ]
+    big_df = big_df[[
+        "序号",
+        "证券代码",
+        "证券简称",
+        "最新价",
+        "涨跌幅",
+        "最近上榜日",
+        "上榜次数-总计",
+        "上榜次数-溢价",
+        "上榜次数-折价",
+        "总成交额",
+        "折溢率",
+        "成交总额/流通市值",
+        "上榜日后平均涨跌幅-1日",
+        "上榜日后平均涨跌幅-5日",
+        "上榜日后平均涨跌幅-10日",
+        "上榜日后平均涨跌幅-20日",
+    ]]
+    big_df["最近上榜日"] = pd.to_datetime(big_df["最近上榜日"]).dt.date
+    big_df["最新价"] = pd.to_numeric(big_df["最新价"])
+    big_df["涨跌幅"] = pd.to_numeric(big_df["涨跌幅"])
+    big_df["上榜次数-总计"] = pd.to_numeric(big_df["上榜次数-总计"])
+    big_df["上榜次数-溢价"] = pd.to_numeric(big_df["上榜次数-溢价"])
+    big_df["上榜次数-折价"] = pd.to_numeric(big_df["上榜次数-折价"])
+    big_df["总成交额"] = pd.to_numeric(big_df["总成交额"])
+    big_df["折溢率"] = pd.to_numeric(big_df["折溢率"])
+    big_df["成交总额/流通市值"] = pd.to_numeric(big_df["成交总额/流通市值"])
+    big_df["上榜日后平均涨跌幅-1日"] = pd.to_numeric(big_df["上榜日后平均涨跌幅-1日"])
+    big_df["上榜日后平均涨跌幅-5日"] = pd.to_numeric(big_df["上榜日后平均涨跌幅-5日"])
+    big_df["上榜日后平均涨跌幅-10日"] = pd.to_numeric(big_df["上榜日后平均涨跌幅-10日"])
+    big_df["上榜日后平均涨跌幅-20日"] = pd.to_numeric(big_df["上榜日后平均涨跌幅-20日"])
+    return big_df
+
+
+def stock_dzjy_hyyybtj(symbol: str = '近3日') -> pd.DataFrame:
+    """
+    东方财富网-数据中心-大宗交易-活跃营业部统计
+    https://data.eastmoney.com/dzjy/dzjy_hyyybtj.html
+    :param symbol: choice of {'当前交易日', '近3日', '近5日', '近10日', '近30日'}
+    :type symbol: str
+    :return: 活跃营业部统计
+    :rtype: pandas.DataFrame
+    """
+    period_map = {
+        '当前交易日': '1',
+        '近3日': '3',
+        '近5日': '5',
+        '近10日': '10',
+        '近30日': '30',
+    }
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        'sortColumns': 'BUYER_NUM,TOTAL_BUYAMT',
+        'sortTypes': '-1,-1',
+        'pageSize': '5000',
+        'pageNumber': '1',
+        'reportName': 'RPT_BLOCKTRADE_OPERATEDEPTSTATISTICS',
+        'columns': 'OPERATEDEPT_CODE,OPERATEDEPT_NAME,ONLIST_DATE,STOCK_DETAILS,BUYER_NUM,SELLER_NUM,TOTAL_BUYAMT,TOTAL_SELLAMT,TOTAL_NETAMT,N_DATE',
+        'source': 'WEB',
+        'client': 'WEB',
+        'filter': f'(N_DATE=-{period_map[symbol]})',
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    total_page = data_json['result']["pages"]
+    big_df = pd.DataFrame()
+    for page in range(1, int(total_page)+1):
+        params.update({"pageNumber": page})
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(data_json['result']["data"])
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df.reset_index(inplace=True)
+    big_df['index'] = big_df.index + 1
+    big_df.columns = [
+        "序号",
+        "_",
+        "营业部名称",
+        "最近上榜日",
+        "买入的股票",
+        "次数总计-买入",
+        "次数总计-卖出",
+        "成交金额统计-买入",
+        "成交金额统计-卖出",
+        "成交金额统计-净买入额",
+        "_",
+    ]
+    big_df = big_df[[
+        "序号",
+        "最近上榜日",
+        "营业部名称",
+        "次数总计-买入",
+        "次数总计-卖出",
+        "成交金额统计-买入",
+        "成交金额统计-卖出",
+        "成交金额统计-净买入额",
+        "买入的股票",
+    ]]
+    big_df["最近上榜日"] = pd.to_datetime(big_df["最近上榜日"]).dt.date
+    big_df["次数总计-买入"] = pd.to_numeric(big_df["次数总计-买入"])
+    big_df["次数总计-卖出"] = pd.to_numeric(big_df["次数总计-卖出"])
+    big_df["成交金额统计-买入"] = pd.to_numeric(big_df["成交金额统计-买入"])
+    big_df["成交金额统计-卖出"] = pd.to_numeric(big_df["成交金额统计-卖出"])
+    big_df["成交金额统计-净买入额"] = pd.to_numeric(big_df["成交金额统计-净买入额"])
+    return big_df
+
+
+def stock_dzjy_yybph(symbol: str = '近三月') -> pd.DataFrame:
+    """
+    东方财富网-数据中心-大宗交易-营业部排行
+    http://data.eastmoney.com/dzjy/dzjy_yybph.aspx
+    :param symbol: choice of {'近一月', '近三月', '近六月', '近一年'}
+    :type symbol: str
+    :return: 营业部排行
+    :rtype: pandas.DataFrame
+    """
+    period_map = {
+        '近一月': '30',
+        '近三月': '90',
+        '近六月': '120',
+        '近一年': '360',
+    }
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        'sortColumns': 'D5_BUYER_NUM,D1_AVERAGE_INCREASE',
+        'sortTypes': '-1,-1',
+        'pageSize': '5000',
+        'pageNumber': '1',
+        'reportName': 'RPT_BLOCKTRADE_OPERATEDEPT_RANK',
+        'columns': 'OPERATEDEPT_CODE,OPERATEDEPT_NAME,D1_BUYER_NUM,D1_AVERAGE_INCREASE,D1_RISE_PROBABILITY,D5_BUYER_NUM,D5_AVERAGE_INCREASE,D5_RISE_PROBABILITY,D10_BUYER_NUM,D10_AVERAGE_INCREASE,D10_RISE_PROBABILITY,D20_BUYER_NUM,D20_AVERAGE_INCREASE,D20_RISE_PROBABILITY,N_DATE,RELATED_ORG_CODE',
+        'source': 'WEB',
+        'client': 'WEB',
+        'filter': f'(N_DATE=-{period_map[symbol]})',
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    total_page = data_json['result']["pages"]
+    big_df = pd.DataFrame()
+    for page in range(1, int(total_page)+1):
+        params.update({"pageNumber": page})
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(data_json['result']["data"])
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+
+    big_df.reset_index(inplace=True)
+    big_df['index'] = big_df.index + 1
+    big_df.columns = [
+        "序号",
+        "_",
+        "营业部名称",
+        "上榜后1天-买入次数",
+        "上榜后1天-平均涨幅",
+        "上榜后1天-上涨概率",
+        "上榜后5天-买入次数",
+        "上榜后5天-平均涨幅",
+        "上榜后5天-上涨概率",
+        "上榜后10天-买入次数",
+        "上榜后10天-平均涨幅",
+        "上榜后10天-上涨概率",
+        "上榜后20天-买入次数",
+        "上榜后20天-平均涨幅",
+        "上榜后20天-上涨概率",
+        "_",
+        "_",
+    ]
+    big_df = big_df[[
+        "序号",
+        "营业部名称",
+        "上榜后1天-买入次数",
+        "上榜后1天-平均涨幅",
+        "上榜后1天-上涨概率",
+        "上榜后5天-买入次数",
+        "上榜后5天-平均涨幅",
+        "上榜后5天-上涨概率",
+        "上榜后10天-买入次数",
+        "上榜后10天-平均涨幅",
+        "上榜后10天-上涨概率",
+        "上榜后20天-买入次数",
+        "上榜后20天-平均涨幅",
+        "上榜后20天-上涨概率",
+    ]]
+    big_df['上榜后1天-买入次数'] = pd.to_numeric(big_df['上榜后1天-买入次数'])
+    big_df['上榜后1天-平均涨幅'] = pd.to_numeric(big_df['上榜后1天-平均涨幅'])
+    big_df['上榜后1天-上涨概率'] = pd.to_numeric(big_df['上榜后1天-上涨概率'])
+    big_df['上榜后5天-买入次数'] = pd.to_numeric(big_df['上榜后5天-买入次数'])
+    big_df['上榜后5天-平均涨幅'] = pd.to_numeric(big_df['上榜后5天-平均涨幅'])
+    big_df['上榜后5天-上涨概率'] = pd.to_numeric(big_df['上榜后5天-上涨概率'])
+    big_df['上榜后10天-买入次数'] = pd.to_numeric(big_df['上榜后10天-买入次数'])
+    big_df['上榜后10天-平均涨幅'] = pd.to_numeric(big_df['上榜后10天-平均涨幅'])
+    big_df['上榜后10天-上涨概率'] = pd.to_numeric(big_df['上榜后10天-上涨概率'])
+    big_df['上榜后20天-买入次数'] = pd.to_numeric(big_df['上榜后20天-买入次数'])
+    big_df['上榜后20天-平均涨幅'] = pd.to_numeric(big_df['上榜后20天-平均涨幅'])
+    big_df['上榜后20天-上涨概率'] = pd.to_numeric(big_df['上榜后20天-上涨概率'])
+    return big_df
+
+
+if __name__ == "__main__":
+    stock_dzjy_sctj_df = stock_dzjy_sctj()
+    print(stock_dzjy_sctj_df)
+
+    stock_dzjy_mrmx_df = stock_dzjy_mrmx(symbol='债券', start_date='20201204', end_date='20201204')
+    print(stock_dzjy_mrmx_df)
+
+    stock_dzjy_mrtj_df = stock_dzjy_mrtj(start_date='20201204', end_date='20201204')
+    print(stock_dzjy_mrtj_df)
+
+    stock_dzjy_hygtj_df = stock_dzjy_hygtj(symbol='近三月')
+    print(stock_dzjy_hygtj_df)
+
+    stock_dzjy_hyyybtj_df = stock_dzjy_hyyybtj(symbol='近3日')
+    print(stock_dzjy_hyyybtj_df)
+
+    stock_dzjy_yybph_df = stock_dzjy_yybph(symbol='近三月')
+    print(stock_dzjy_yybph_df)

stockapp/src/crawling/stock_fhps_em.py

@@ -0,0 +1,126 @@
+#!/usr/bin/env python
+# -*- coding:utf-8 -*-
+"""
+Date: 2023/4/7 15:22
+Desc: 东方财富网-数据中心-年报季报-分红送配
+https://data.eastmoney.com/yjfp/
+"""
+import pandas as pd
+import requests
+from tqdm import tqdm
+
+__author__ = 'myh '
+__date__ = '2023/6/27 '
+
+
+def stock_fhps_em(date: str = "20210630") -> pd.DataFrame:
+    """
+    东方财富网-数据中心-年报季报-分红送配
+    https://data.eastmoney.com/yjfp/
+    :param date: 分红送配报告期
+    :type date: str
+    :return: 分红送配
+    :rtype: pandas.DataFrame
+    """
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        "sortColumns": "PLAN_NOTICE_DATE",
+        "sortTypes": "-1",
+        "pageSize": "500",
+        "pageNumber": "1",
+        "reportName": "RPT_SHAREBONUS_DET",
+        "columns": "ALL",
+        "quoteColumns": "",
+        "js": '{"data":(x),"pages":(tp)}',
+        "source": "WEB",
+        "client": "WEB",
+        "filter": f"""(REPORT_DATE='{"-".join([date[:4], date[4:6], date[6:]])}')""",
+    }
+
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    total_pages = int(data_json["result"]["pages"])
+    big_df = pd.DataFrame()
+    for page in tqdm(range(1, total_pages + 1), leave=False):
+        params.update({"pageNumber": page})
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(data_json["result"]["data"])
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+
+    big_df.columns = [
+        "_",
+        "名称",
+        "_",
+        "_",
+        "代码",
+        "送转股份-送转总比例",
+        "送转股份-送转比例",
+        "送转股份-转股比例",
+        "现金分红-现金分红比例",
+        "预案公告日",
+        "股权登记日",
+        "除权除息日",
+        "_",
+        "方案进度",
+        "_",
+        "最新公告日期",
+        "_",
+        "_",
+        "_",
+        "每股收益",
+        "每股净资产",
+        "每股公积金",
+        "每股未分配利润",
+        "净利润同比增长",
+        "总股本",
+        "_",
+        "现金分红-股息率",
+        "-",
+        "-",
+        "-",
+    ]
+    big_df = big_df[
+        [
+            "代码",
+            "名称",
+            "送转股份-送转总比例",
+            "送转股份-送转比例",
+            "送转股份-转股比例",
+            "现金分红-现金分红比例",
+            "现金分红-股息率",
+            "每股收益",
+            "每股净资产",
+            "每股公积金",
+            "每股未分配利润",
+            "净利润同比增长",
+            "总股本",
+            "预案公告日",
+            "股权登记日",
+            "除权除息日",
+            "方案进度",
+            "最新公告日期",
+        ]
+    ]
+    big_df["送转股份-送转总比例"] = pd.to_numeric(big_df["送转股份-送转总比例"])
+    big_df["送转股份-送转比例"] = pd.to_numeric(big_df["送转股份-送转比例"])
+    big_df["送转股份-转股比例"] = pd.to_numeric(big_df["送转股份-转股比例"])
+    big_df["现金分红-现金分红比例"] = pd.to_numeric(big_df["现金分红-现金分红比例"])
+    big_df["现金分红-股息率"] = pd.to_numeric(big_df["现金分红-股息率"])
+    big_df["每股收益"] = pd.to_numeric(big_df["每股收益"])
+    big_df["每股净资产"] = pd.to_numeric(big_df["每股净资产"])
+    big_df["每股公积金"] = pd.to_numeric(big_df["每股公积金"])
+    big_df["每股未分配利润"] = pd.to_numeric(big_df["每股未分配利润"])
+    big_df["净利润同比增长"] = pd.to_numeric(big_df["净利润同比增长"])
+    big_df["总股本"] = pd.to_numeric(big_df["总股本"])
+
+    big_df["预案公告日"] = pd.to_datetime(big_df["预案公告日"], errors="coerce").dt.date
+    big_df["股权登记日"] = pd.to_datetime(big_df["股权登记日"], errors="coerce").dt.date
+    big_df["除权除息日"] = pd.to_datetime(big_df["除权除息日"], errors="coerce").dt.date
+    big_df["最新公告日期"] = pd.to_datetime(big_df["最新公告日期"], errors="coerce").dt.date
+    return big_df
+
+
+if __name__ == "__main__":
+    stock_fhps_em_df = stock_fhps_em(date="20221231")
+    print(stock_fhps_em_df)

stockapp/src/crawling/stock_fund_em.py

@@ -0,0 +1,419 @@
+#!/usr/bin/env python
+# -*- coding:utf-8 -*-
+"""
+Date: 2023/5/16 15:30
+Desc: 东方财富网-数据中心-资金流向
+https://data.eastmoney.com/zjlx/detail.html
+"""
+import json
+import time
+from functools import lru_cache
+
+import pandas as pd
+import requests
+
+__author__ = 'myh '
+__date__ = '2023/6/12 '
+
+
+def stock_individual_fund_flow_rank(indicator: str = "5日") -> pd.DataFrame:
+    """
+    东方财富网-数据中心-资金流向-排名
+    https://data.eastmoney.com/zjlx/detail.html
+    :param indicator: choice of {"今日", "3日", "5日", "10日"}
+    :type indicator: str
+    :return: 指定 indicator 资金流向排行
+    :rtype: pandas.DataFrame
+    """
+    indicator_map = {
+        "今日": [
+            "f62",
+            "f12,f14,f2,f3,f62,f184,f66,f69,f72,f75,f78,f81,f84,f87,f204,f205,f124",
+        ],
+        "3日": [
+            "f267",
+            "f12,f14,f2,f127,f267,f268,f269,f270,f271,f272,f273,f274,f275,f276,f257,f258,f124",
+        ],
+        "5日": [
+            "f164",
+            "f12,f14,f2,f109,f164,f165,f166,f167,f168,f169,f170,f171,f172,f173,f257,f258,f124",
+        ],
+        "10日": [
+            "f174",
+            "f12,f14,f2,f160,f174,f175,f176,f177,f178,f179,f180,f181,f182,f183,f260,f261,f124",
+        ],
+    }
+    url = "http://push2.eastmoney.com/api/qt/clist/get"
+    params = {
+        "fid": indicator_map[indicator][0],
+        "po": "1",
+        "pz": "10000",
+        "pn": "1",
+        "np": "1",
+        "fltt": "2",
+        "invt": "2",
+        "ut": "b2884a393a59ad64002292a3e90d46a5",
+        "fs": "m:0+t:6+f:!2,m:0+t:13+f:!2,m:0+t:80+f:!2,m:1+t:2+f:!2,m:1+t:23+f:!2,m:0+t:7+f:!2,m:1+t:3+f:!2",
+        "fields": indicator_map[indicator][1],
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    temp_df = pd.DataFrame(data_json["data"]["diff"])
+    if indicator == "今日":
+        temp_df.columns = [
+            "最新价",
+            "今日涨跌幅",
+            "代码",
+            "名称",
+            "今日主力净流入-净额",
+            "今日超大单净流入-净额",
+            "今日超大单净流入-净占比",
+            "今日大单净流入-净额",
+            "今日大单净流入-净占比",
+            "今日中单净流入-净额",
+            "今日中单净流入-净占比",
+            "今日小单净流入-净额",
+            "今日小单净流入-净占比",
+            "_",
+            "今日主力净流入-净占比",
+            "_",
+            "_",
+            "_",
+        ]
+        temp_df = temp_df[
+            [
+                "代码",
+                "名称",
+                "最新价",
+                "今日涨跌幅",
+                "今日主力净流入-净额",
+                "今日主力净流入-净占比",
+                "今日超大单净流入-净额",
+                "今日超大单净流入-净占比",
+                "今日大单净流入-净额",
+                "今日大单净流入-净占比",
+                "今日中单净流入-净额",
+                "今日中单净流入-净占比",
+                "今日小单净流入-净额",
+                "今日小单净流入-净占比",
+            ]
+        ]
+    elif indicator == "3日":
+        temp_df.columns = [
+            "最新价",
+            "代码",
+            "名称",
+            "_",
+            "3日涨跌幅",
+            "_",
+            "_",
+            "_",
+            "3日主力净流入-净额",
+            "3日主力净流入-净占比",
+            "3日超大单净流入-净额",
+            "3日超大单净流入-净占比",
+            "3日大单净流入-净额",
+            "3日大单净流入-净占比",
+            "3日中单净流入-净额",
+            "3日中单净流入-净占比",
+            "3日小单净流入-净额",
+            "3日小单净流入-净占比",
+        ]
+        temp_df = temp_df[
+            [
+                "代码",
+                "名称",
+                "最新价",
+                "3日涨跌幅",
+                "3日主力净流入-净额",
+                "3日主力净流入-净占比",
+                "3日超大单净流入-净额",
+                "3日超大单净流入-净占比",
+                "3日大单净流入-净额",
+                "3日大单净流入-净占比",
+                "3日中单净流入-净额",
+                "3日中单净流入-净占比",
+                "3日小单净流入-净额",
+                "3日小单净流入-净占比",
+            ]
+        ]
+    elif indicator == "5日":
+        temp_df.columns = [
+            "最新价",
+            "代码",
+            "名称",
+            "5日涨跌幅",
+            "_",
+            "5日主力净流入-净额",
+            "5日主力净流入-净占比",
+            "5日超大单净流入-净额",
+            "5日超大单净流入-净占比",
+            "5日大单净流入-净额",
+            "5日大单净流入-净占比",
+            "5日中单净流入-净额",
+            "5日中单净流入-净占比",
+            "5日小单净流入-净额",
+            "5日小单净流入-净占比",
+            "_",
+            "_",
+            "_",
+        ]
+        temp_df = temp_df[
+            [
+                "代码",
+                "名称",
+                "最新价",
+                "5日涨跌幅",
+                "5日主力净流入-净额",
+                "5日主力净流入-净占比",
+                "5日超大单净流入-净额",
+                "5日超大单净流入-净占比",
+                "5日大单净流入-净额",
+                "5日大单净流入-净占比",
+                "5日中单净流入-净额",
+                "5日中单净流入-净占比",
+                "5日小单净流入-净额",
+                "5日小单净流入-净占比",
+            ]
+        ]
+    elif indicator == "10日":
+        temp_df.columns = [
+            "最新价",
+            "代码",
+            "名称",
+            "_",
+            "10日涨跌幅",
+            "10日主力净流入-净额",
+            "10日主力净流入-净占比",
+            "10日超大单净流入-净额",
+            "10日超大单净流入-净占比",
+            "10日大单净流入-净额",
+            "10日大单净流入-净占比",
+            "10日中单净流入-净额",
+            "10日中单净流入-净占比",
+            "10日小单净流入-净额",
+            "10日小单净流入-净占比",
+            "_",
+            "_",
+            "_",
+        ]
+        temp_df = temp_df[
+            [
+                "代码",
+                "名称",
+                "最新价",
+                "10日涨跌幅",
+                "10日主力净流入-净额",
+                "10日主力净流入-净占比",
+                "10日超大单净流入-净额",
+                "10日超大单净流入-净占比",
+                "10日大单净流入-净额",
+                "10日大单净流入-净占比",
+                "10日中单净流入-净额",
+                "10日中单净流入-净占比",
+                "10日小单净流入-净额",
+                "10日小单净流入-净占比",
+            ]
+        ]
+    return temp_df
+
+
+def stock_sector_fund_flow_rank(
+    indicator: str = "10日", sector_type: str = "行业资金流"
+) -> pd.DataFrame:
+    """
+    东方财富网-数据中心-资金流向-板块资金流-排名
+    https://data.eastmoney.com/bkzj/hy.html
+    :param indicator: choice of {"今日", "5日", "10日"}
+    :type indicator: str
+    :param sector_type: choice of {"行业资金流", "概念资金流", "地域资金流"}
+    :type sector_type: str
+    :return: 指定参数的资金流排名数据
+    :rtype: pandas.DataFrame
+    """
+    sector_type_map = {"行业资金流": "2", "概念资金流": "3", "地域资金流": "1"}
+    indicator_map = {
+        "今日": [
+            "f62",
+            "1",
+            "f12,f14,f2,f3,f62,f184,f66,f69,f72,f75,f78,f81,f84,f87,f204,f205,f124",
+        ],
+        "5日": [
+            "f164",
+            "5",
+            "f12,f14,f2,f109,f164,f165,f166,f167,f168,f169,f170,f171,f172,f173,f257,f258,f124",
+        ],
+        "10日": [
+            "f174",
+            "10",
+            "f12,f14,f2,f160,f174,f175,f176,f177,f178,f179,f180,f181,f182,f183,f260,f261,f124",
+        ],
+    }
+    url = "http://push2.eastmoney.com/api/qt/clist/get"
+    headers = {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 Safari/537.36",
+    }
+    params = {
+        "pn": "1",
+        "pz": "5000",
+        "po": "1",
+        "np": "1",
+        "ut": "b2884a393a59ad64002292a3e90d46a5",
+        "fltt": "2",
+        "invt": "2",
+        "fid0": indicator_map[indicator][0],
+        "fs": f"m:90 t:{sector_type_map[sector_type]}",
+        "stat": indicator_map[indicator][1],
+        "fields": indicator_map[indicator][2],
+        "rt": "52975239",
+        "cb": "jQuery18308357908311220152_1589256588824",
+        "_": int(time.time() * 1000),
+    }
+    r = requests.get(url, params=params, headers=headers)
+    text_data = r.text
+    json_data = json.loads(text_data[text_data.find("{") : -2])
+    temp_df = pd.DataFrame(json_data["data"]["diff"])
+    if indicator == "今日":
+        temp_df.columns = [
+            "-",
+            "今日涨跌幅",
+            "_",
+            "名称",
+            "今日主力净流入-净额",
+            "今日超大单净流入-净额",
+            "今日超大单净流入-净占比",
+            "今日大单净流入-净额",
+            "今日大单净流入-净占比",
+            "今日中单净流入-净额",
+            "今日中单净流入-净占比",
+            "今日小单净流入-净额",
+            "今日小单净流入-净占比",
+            "-",
+            "今日主力净流入-净占比",
+            "今日主力净流入最大股",
+            "今日主力净流入最大股代码",
+            "是否净流入",
+        ]
+
+        temp_df = temp_df[
+            [
+                "名称",
+                "今日涨跌幅",
+                "今日主力净流入-净额",
+                "今日主力净流入-净占比",
+                "今日超大单净流入-净额",
+                "今日超大单净流入-净占比",
+                "今日大单净流入-净额",
+                "今日大单净流入-净占比",
+                "今日中单净流入-净额",
+                "今日中单净流入-净占比",
+                "今日小单净流入-净额",
+                "今日小单净流入-净占比",
+                "今日主力净流入最大股",
+            ]
+        ]
+    elif indicator == "5日":
+        temp_df.columns = [
+            "-",
+            "_",
+            "名称",
+            "5日涨跌幅",
+            "_",
+            "5日主力净流入-净额",
+            "5日主力净流入-净占比",
+            "5日超大单净流入-净额",
+            "5日超大单净流入-净占比",
+            "5日大单净流入-净额",
+            "5日大单净流入-净占比",
+            "5日中单净流入-净额",
+            "5日中单净流入-净占比",
+            "5日小单净流入-净额",
+            "5日小单净流入-净占比",
+            "5日主力净流入最大股",
+            "_",
+            "_",
+        ]
+
+        temp_df = temp_df[
+            [
+                "名称",
+                "5日涨跌幅",
+                "5日主力净流入-净额",
+                "5日主力净流入-净占比",
+                "5日超大单净流入-净额",
+                "5日超大单净流入-净占比",
+                "5日大单净流入-净额",
+                "5日大单净流入-净占比",
+                "5日中单净流入-净额",
+                "5日中单净流入-净占比",
+                "5日小单净流入-净额",
+                "5日小单净流入-净占比",
+                "5日主力净流入最大股",
+            ]
+        ]
+    elif indicator == "10日":
+        temp_df.columns = [
+            "-",
+            "_",
+            "名称",
+            "_",
+            "10日涨跌幅",
+            "10日主力净流入-净额",
+            "10日主力净流入-净占比",
+            "10日超大单净流入-净额",
+            "10日超大单净流入-净占比",
+            "10日大单净流入-净额",
+            "10日大单净流入-净占比",
+            "10日中单净流入-净额",
+            "10日中单净流入-净占比",
+            "10日小单净流入-净额",
+            "10日小单净流入-净占比",
+            "10日主力净流入最大股",
+            "_",
+            "_",
+        ]
+
+        temp_df = temp_df[
+            [
+                "名称",
+                "10日涨跌幅",
+                "10日主力净流入-净额",
+                "10日主力净流入-净占比",
+                "10日超大单净流入-净额",
+                "10日超大单净流入-净占比",
+                "10日大单净流入-净额",
+                "10日大单净流入-净占比",
+                "10日中单净流入-净额",
+                "10日中单净流入-净占比",
+                "10日小单净流入-净额",
+                "10日小单净流入-净占比",
+                "10日主力净流入最大股",
+            ]
+        ]
+    return temp_df
+
+
+if __name__ == "__main__":
+    stock_individual_fund_flow_rank_df = stock_individual_fund_flow_rank(indicator="今日")
+    print(stock_individual_fund_flow_rank_df)
+
+    stock_individual_fund_flow_rank_df = stock_individual_fund_flow_rank(indicator="3日")
+    print(stock_individual_fund_flow_rank_df)
+
+    stock_individual_fund_flow_rank_df = stock_individual_fund_flow_rank(indicator="5日")
+    print(stock_individual_fund_flow_rank_df)
+
+    stock_individual_fund_flow_rank_df = stock_individual_fund_flow_rank(
+        indicator="10日"
+    )
+    print(stock_individual_fund_flow_rank_df)
+
+    stock_sector_fund_flow_rank_df = stock_sector_fund_flow_rank(
+        indicator="5日", sector_type="概念资金流"
+    )
+    print(stock_sector_fund_flow_rank_df)
+
+    stock_sector_fund_flow_rank_df = stock_sector_fund_flow_rank(
+        indicator="今日", sector_type="行业资金流"
+    )
+    print(stock_sector_fund_flow_rank_df)

stockapp/src/crawling/stock_hist_em.py

@@ -0,0 +1,554 @@
+#!/usr/bin/env python
+# -*- coding:utf-8 -*-
+"""
+Date: 2022/6/19 15:26
+Desc: 东方财富网-行情首页-沪深京 A 股
+"""
+import requests
+import pandas as pd
+
+from functools import lru_cache
+
+
+def stock_zh_a_spot_em() -> pd.DataFrame:
+    """
+    东方财富网-沪深京 A 股-实时行情
+    https://quote.eastmoney.com/center/gridlist.html#hs_a_board
+    :return: 实时行情
+    :rtype: pandas.DataFrame
+    """
+    url = "http://82.push2.eastmoney.com/api/qt/clist/get"
+    params = {
+        "pn": "1",
+        "pz": "50000",
+        "po": "1",
+        "np": "1",
+        "ut": "bd1d9ddb04089700cf9c27f6f7426281",
+        "fltt": "2",
+        "invt": "2",
+        "fid": "f3",
+        "fs": "m:0 t:6,m:0 t:80,m:1 t:2,m:1 t:23,m:0 t:81 s:2048",
+        "fields": "f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f14,f15,f16,f17,f18,f20,f21,f22,f23,f24,f25,f26,f37,f38,f39,f40,f41,f45,f46,f48,f49,f57,f61,f100,f112,f113,f114,f115,f221",
+        "_": "1623833739532",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    if not data_json["data"]["diff"]:
+        return pd.DataFrame()
+    temp_df = pd.DataFrame(data_json["data"]["diff"])
+    temp_df.columns = [
+        "最新价",
+        "涨跌幅",
+        "涨跌额",
+        "成交量",
+        "成交额",
+        "振幅",
+        "换手率",
+        "市盈率动",
+        "量比",
+        "5分钟涨跌",
+        "代码",
+        "名称",
+        "最高",
+        "最低",
+        "今开",
+        "昨收",
+        "总市值",
+        "流通市值",
+        "涨速",
+        "市净率",
+        "60日涨跌幅",
+        "年初至今涨跌幅",
+        "上市时间",
+        "加权净资产收益率",
+        "总股本",
+        "已流通股份",
+        "营业收入",
+        "营业收入同比增长",
+        "归属净利润",
+        "归属净利润同比增长",
+        "每股未分配利润",
+        "毛利率",
+        "资产负债率",
+        "每股公积金",
+        "所处行业",
+        "每股收益",
+        "每股净资产",
+        "市盈率静",
+        "市盈率TTM",
+        "报告期"
+    ]
+    temp_df = temp_df[
+        [
+            "代码",
+            "名称",
+            "最新价",
+            "涨跌幅",
+            "涨跌额",
+            "成交量",
+            "成交额",
+            "振幅",
+            "换手率",
+            "量比",
+            "今开",
+            "最高",
+            "最低",
+            "昨收",
+            "涨速",
+            "5分钟涨跌",
+            "60日涨跌幅",
+            "年初至今涨跌幅",
+            "市盈率动",
+            "市盈率TTM",
+            "市盈率静",
+            "市净率",
+            "每股收益",
+            "每股净资产",
+            "每股公积金",
+            "每股未分配利润",
+            "加权净资产收益率",
+            "毛利率",
+            "资产负债率",
+            "营业收入",
+            "营业收入同比增长",
+            "归属净利润",
+            "归属净利润同比增长",
+            "报告期",
+            "总股本",
+            "已流通股份",
+            "总市值",
+            "流通市值",
+            "所处行业",
+            "上市时间"
+        ]
+    ]
+    temp_df["最新价"] = pd.to_numeric(temp_df["最新价"], errors="coerce")
+    temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce")
+    temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"], errors="coerce")
+    temp_df["成交量"] = pd.to_numeric(temp_df["成交量"], errors="coerce")
+    temp_df["成交额"] = pd.to_numeric(temp_df["成交额"], errors="coerce")
+    temp_df["振幅"] = pd.to_numeric(temp_df["振幅"], errors="coerce")
+    temp_df["量比"] = pd.to_numeric(temp_df["量比"], errors="coerce")
+    temp_df["换手率"] = pd.to_numeric(temp_df["换手率"], errors="coerce")
+    temp_df["最高"] = pd.to_numeric(temp_df["最高"], errors="coerce")
+    temp_df["最低"] = pd.to_numeric(temp_df["最低"], errors="coerce")
+    temp_df["今开"] = pd.to_numeric(temp_df["今开"], errors="coerce")
+    temp_df["昨收"] = pd.to_numeric(temp_df["昨收"], errors="coerce")
+    temp_df["涨速"] = pd.to_numeric(temp_df["涨速"], errors="coerce")
+    temp_df["5分钟涨跌"] = pd.to_numeric(temp_df["5分钟涨跌"], errors="coerce")
+    temp_df["60日涨跌幅"] = pd.to_numeric(temp_df["60日涨跌幅"], errors="coerce")
+    temp_df["年初至今涨跌幅"] = pd.to_numeric(temp_df["年初至今涨跌幅"], errors="coerce")
+    temp_df["市盈率动"] = pd.to_numeric(temp_df["市盈率动"], errors="coerce")
+    temp_df["市盈率TTM"] = pd.to_numeric(temp_df["市盈率TTM"], errors="coerce")
+    temp_df["市盈率静"] = pd.to_numeric(temp_df["市盈率静"], errors="coerce")
+    temp_df["市净率"] = pd.to_numeric(temp_df["市净率"], errors="coerce")
+    temp_df["每股收益"] = pd.to_numeric(temp_df["每股收益"], errors="coerce")
+    temp_df["每股净资产"] = pd.to_numeric(temp_df["每股净资产"], errors="coerce")
+    temp_df["每股公积金"] = pd.to_numeric(temp_df["每股公积金"], errors="coerce")
+    temp_df["每股未分配利润"] = pd.to_numeric(temp_df["每股未分配利润"], errors="coerce")
+    temp_df["加权净资产收益率"] = pd.to_numeric(temp_df["加权净资产收益率"], errors="coerce")
+    temp_df["毛利率"] = pd.to_numeric(temp_df["毛利率"], errors="coerce")
+    temp_df["资产负债率"] = pd.to_numeric(temp_df["资产负债率"], errors="coerce")
+    temp_df["营业收入"] = pd.to_numeric(temp_df["营业收入"], errors="coerce")
+    temp_df["营业收入同比增长"] = pd.to_numeric(temp_df["营业收入同比增长"], errors="coerce")
+    temp_df["归属净利润"] = pd.to_numeric(temp_df["归属净利润"], errors="coerce")
+    temp_df["归属净利润同比增长"] = pd.to_numeric(temp_df["归属净利润同比增长"], errors="coerce")
+    temp_df["报告期"] = pd.to_datetime(temp_df["报告期"], format='%Y%m%d', errors="coerce")
+    temp_df["总股本"] = pd.to_numeric(temp_df["总股本"], errors="coerce")
+    temp_df["已流通股份"] = pd.to_numeric(temp_df["已流通股份"], errors="coerce")
+    temp_df["总市值"] = pd.to_numeric(temp_df["总市值"], errors="coerce")
+    temp_df["流通市值"] = pd.to_numeric(temp_df["流通市值"], errors="coerce")
+    temp_df["上市时间"] = pd.to_datetime(temp_df["上市时间"], format='%Y%m%d', errors="coerce")
+
+    return temp_df
+
+
+@lru_cache()
+def code_id_map_em() -> dict:
+    """
+    东方财富-股票和市场代码
+    http://quote.eastmoney.com/center/gridlist.html#hs_a_board
+    :return: 股票和市场代码
+    :rtype: dict
+    """
+    url = "http://80.push2.eastmoney.com/api/qt/clist/get"
+    params = {
+        "pn": "1",
+        "pz": "50000",
+        "po": "1",
+        "np": "1",
+        "ut": "bd1d9ddb04089700cf9c27f6f7426281",
+        "fltt": "2",
+        "invt": "2",
+        "fid": "f3",
+        "fs": "m:1 t:2,m:1 t:23",
+        "fields": "f12",
+        "_": "1623833739532",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    if not data_json["data"]["diff"]:
+        return dict()
+    temp_df = pd.DataFrame(data_json["data"]["diff"])
+    temp_df["market_id"] = 1
+    temp_df.columns = ["sh_code", "sh_id"]
+    code_id_dict = dict(zip(temp_df["sh_code"], temp_df["sh_id"]))
+    params = {
+        "pn": "1",
+        "pz": "50000",
+        "po": "1",
+        "np": "1",
+        "ut": "bd1d9ddb04089700cf9c27f6f7426281",
+        "fltt": "2",
+        "invt": "2",
+        "fid": "f3",
+        "fs": "m:0 t:6,m:0 t:80",
+        "fields": "f12",
+        "_": "1623833739532",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    if not data_json["data"]["diff"]:
+        return dict()
+    temp_df_sz = pd.DataFrame(data_json["data"]["diff"])
+    temp_df_sz["sz_id"] = 0
+    code_id_dict.update(dict(zip(temp_df_sz["f12"], temp_df_sz["sz_id"])))
+    params = {
+        "pn": "1",
+        "pz": "50000",
+        "po": "1",
+        "np": "1",
+        "ut": "bd1d9ddb04089700cf9c27f6f7426281",
+        "fltt": "2",
+        "invt": "2",
+        "fid": "f3",
+        "fs": "m:0 t:81 s:2048",
+        "fields": "f12",
+        "_": "1623833739532",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    if not data_json["data"]["diff"]:
+        return dict()
+    temp_df_sz = pd.DataFrame(data_json["data"]["diff"])
+    temp_df_sz["bj_id"] = 0
+    code_id_dict.update(dict(zip(temp_df_sz["f12"], temp_df_sz["bj_id"])))
+    return code_id_dict
+
+
+def stock_zh_a_hist(
+    symbol: str = "000001",
+    period: str = "daily",
+    start_date: str = "19700101",
+    end_date: str = "20500101",
+    adjust: str = "",
+) -> pd.DataFrame:
+    """
+    东方财富网-行情首页-沪深京 A 股-每日行情
+    https://quote.eastmoney.com/concept/sh603777.html?from=classic
+    :param symbol: 股票代码
+    :type symbol: str
+    :param period: choice of {'daily', 'weekly', 'monthly'}
+    :type period: str
+    :param start_date: 开始日期
+    :type start_date: str
+    :param end_date: 结束日期
+    :type end_date: str
+    :param adjust: choice of {"qfq": "前复权", "hfq": "后复权", "": "不复权"}
+    :type adjust: str
+    :return: 每日行情
+    :rtype: pandas.DataFrame
+    """
+    code_id_dict = code_id_map_em()
+    adjust_dict = {"qfq": "1", "hfq": "2", "": "0"}
+    period_dict = {"daily": "101", "weekly": "102", "monthly": "103"}
+    url = "http://push2his.eastmoney.com/api/qt/stock/kline/get"
+    params = {
+        "fields1": "f1,f2,f3,f4,f5,f6",
+        "fields2": "f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61,f116",
+        "ut": "7eea3edcaed734bea9cbfc24409ed989",
+        "klt": period_dict[period],
+        "fqt": adjust_dict[adjust],
+        "secid": f"{code_id_dict[symbol]}.{symbol}",
+        "beg": start_date,
+        "end": end_date,
+        "_": "1623766962675",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    if not (data_json["data"] and data_json["data"]["klines"]):
+        return pd.DataFrame()
+    temp_df = pd.DataFrame(
+        [item.split(",") for item in data_json["data"]["klines"]]
+    )
+    temp_df.columns = [
+        "日期",
+        "开盘",
+        "收盘",
+        "最高",
+        "最低",
+        "成交量",
+        "成交额",
+        "振幅",
+        "涨跌幅",
+        "涨跌额",
+        "换手率",
+    ]
+    temp_df.index = pd.to_datetime(temp_df["日期"])
+    temp_df.reset_index(inplace=True, drop=True)
+
+    temp_df["开盘"] = pd.to_numeric(temp_df["开盘"])
+    temp_df["收盘"] = pd.to_numeric(temp_df["收盘"])
+    temp_df["最高"] = pd.to_numeric(temp_df["最高"])
+    temp_df["最低"] = pd.to_numeric(temp_df["最低"])
+    temp_df["成交量"] = pd.to_numeric(temp_df["成交量"])
+    temp_df["成交额"] = pd.to_numeric(temp_df["成交额"])
+    temp_df["振幅"] = pd.to_numeric(temp_df["振幅"])
+    temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"])
+    temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"])
+    temp_df["换手率"] = pd.to_numeric(temp_df["换手率"])
+
+    return temp_df
+
+
+def stock_zh_a_hist_min_em(
+    symbol: str = "000001",
+    start_date: str = "1979-09-01 09:32:00",
+    end_date: str = "2222-01-01 09:32:00",
+    period: str = "5",
+    adjust: str = "",
+) -> pd.DataFrame:
+    """
+    东方财富网-行情首页-沪深京 A 股-每日分时行情
+    https://quote.eastmoney.com/concept/sh603777.html?from=classic
+    :param symbol: 股票代码
+    :type symbol: str
+    :param start_date: 开始日期
+    :type start_date: str
+    :param end_date: 结束日期
+    :type end_date: str
+    :param period: choice of {'1', '5', '15', '30', '60'}
+    :type period: str
+    :param adjust: choice of {'', 'qfq', 'hfq'}
+    :type adjust: str
+    :return: 每日分时行情
+    :rtype: pandas.DataFrame
+    """
+    code_id_dict = code_id_map_em()
+    adjust_map = {
+        "": "0",
+        "qfq": "1",
+        "hfq": "2",
+    }
+    if period == "1":
+        url = "https://push2his.eastmoney.com/api/qt/stock/trends2/get"
+        params = {
+            "fields1": "f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13",
+            "fields2": "f51,f52,f53,f54,f55,f56,f57,f58",
+            "ut": "7eea3edcaed734bea9cbfc24409ed989",
+            "ndays": "5",
+            "iscr": "0",
+            "secid": f"{code_id_dict[symbol]}.{symbol}",
+            "_": "1623766962675",
+        }
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(
+            [item.split(",") for item in data_json["data"]["trends"]]
+        )
+        temp_df.columns = [
+            "时间",
+            "开盘",
+            "收盘",
+            "最高",
+            "最低",
+            "成交量",
+            "成交额",
+            "最新价",
+        ]
+        temp_df.index = pd.to_datetime(temp_df["时间"])
+        temp_df = temp_df[start_date:end_date]
+        temp_df.reset_index(drop=True, inplace=True)
+        temp_df["开盘"] = pd.to_numeric(temp_df["开盘"])
+        temp_df["收盘"] = pd.to_numeric(temp_df["收盘"])
+        temp_df["最高"] = pd.to_numeric(temp_df["最高"])
+        temp_df["最低"] = pd.to_numeric(temp_df["最低"])
+        temp_df["成交量"] = pd.to_numeric(temp_df["成交量"])
+        temp_df["成交额"] = pd.to_numeric(temp_df["成交额"])
+        temp_df["最新价"] = pd.to_numeric(temp_df["最新价"])
+        temp_df["时间"] = pd.to_datetime(temp_df["时间"]).astype(str)
+        return temp_df
+    else:
+        url = "http://push2his.eastmoney.com/api/qt/stock/kline/get"
+        params = {
+            "fields1": "f1,f2,f3,f4,f5,f6",
+            "fields2": "f51,f52,f53,f54,f55,f56,f57,f58,f59,f60,f61",
+            "ut": "7eea3edcaed734bea9cbfc24409ed989",
+            "klt": period,
+            "fqt": adjust_map[adjust],
+            "secid": f"{code_id_dict[symbol]}.{symbol}",
+            "beg": "0",
+            "end": "20500000",
+            "_": "1630930917857",
+        }
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(
+            [item.split(",") for item in data_json["data"]["klines"]]
+        )
+        temp_df.columns = [
+            "时间",
+            "开盘",
+            "收盘",
+            "最高",
+            "最低",
+            "成交量",
+            "成交额",
+            "振幅",
+            "涨跌幅",
+            "涨跌额",
+            "换手率",
+        ]
+        temp_df.index = pd.to_datetime(temp_df["时间"])
+        temp_df = temp_df[start_date:end_date]
+        temp_df.reset_index(drop=True, inplace=True)
+        temp_df["开盘"] = pd.to_numeric(temp_df["开盘"])
+        temp_df["收盘"] = pd.to_numeric(temp_df["收盘"])
+        temp_df["最高"] = pd.to_numeric(temp_df["最高"])
+        temp_df["最低"] = pd.to_numeric(temp_df["最低"])
+        temp_df["成交量"] = pd.to_numeric(temp_df["成交量"])
+        temp_df["成交额"] = pd.to_numeric(temp_df["成交额"])
+        temp_df["振幅"] = pd.to_numeric(temp_df["振幅"])
+        temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"])
+        temp_df["涨跌额"] = pd.to_numeric(temp_df["涨跌额"])
+        temp_df["换手率"] = pd.to_numeric(temp_df["换手率"])
+        temp_df["时间"] = pd.to_datetime(temp_df["时间"]).astype(str)
+        temp_df = temp_df[
+            [
+                "时间",
+                "开盘",
+                "收盘",
+                "最高",
+                "最低",
+                "涨跌幅",
+                "涨跌额",
+                "成交量",
+                "成交额",
+                "振幅",
+                "换手率",
+            ]
+        ]
+        return temp_df
+
+
+def stock_zh_a_hist_pre_min_em(
+    symbol: str = "000001",
+    start_time: str = "09:00:00",
+    end_time: str = "15:50:00",
+) -> pd.DataFrame:
+    """
+    东方财富网-行情首页-沪深京 A 股-每日分时行情包含盘前数据
+    http://quote.eastmoney.com/concept/sh603777.html?from=classic
+    :param symbol: 股票代码
+    :type symbol: str
+    :param start_time: 开始时间
+    :type start_time: str
+    :param end_time: 结束时间
+    :type end_time: str
+    :return: 每日分时行情包含盘前数据
+    :rtype: pandas.DataFrame
+    """
+    code_id_dict = code_id_map_em()
+    url = "https://push2.eastmoney.com/api/qt/stock/trends2/get"
+    params = {
+        "fields1": "f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13",
+        "fields2": "f51,f52,f53,f54,f55,f56,f57,f58",
+        "ut": "fa5fd1943c7b386f172d6893dbfba10b",
+        "ndays": "1",
+        "iscr": "1",
+        "iscca": "0",
+        "secid": f"{code_id_dict[symbol]}.{symbol}",
+        "_": "1623766962675",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    temp_df = pd.DataFrame(
+        [item.split(",") for item in data_json["data"]["trends"]]
+    )
+    temp_df.columns = [
+        "时间",
+        "开盘",
+        "收盘",
+        "最高",
+        "最低",
+        "成交量",
+        "成交额",
+        "最新价",
+    ]
+    temp_df.index = pd.to_datetime(temp_df["时间"])
+    date_format = temp_df.index[0].date().isoformat()
+    temp_df = temp_df[
+        date_format + " " + start_time : date_format + " " + end_time
+    ]
+    temp_df.reset_index(drop=True, inplace=True)
+    temp_df["开盘"] = pd.to_numeric(temp_df["开盘"])
+    temp_df["收盘"] = pd.to_numeric(temp_df["收盘"])
+    temp_df["最高"] = pd.to_numeric(temp_df["最高"])
+    temp_df["最低"] = pd.to_numeric(temp_df["最低"])
+    temp_df["成交量"] = pd.to_numeric(temp_df["成交量"])
+    temp_df["成交额"] = pd.to_numeric(temp_df["成交额"])
+    temp_df["最新价"] = pd.to_numeric(temp_df["最新价"])
+    temp_df["时间"] = pd.to_datetime(temp_df["时间"]).astype(str)
+    return temp_df
+
+
+if __name__ == "__main__":
+
+    stock_zh_a_hist_df = stock_zh_a_hist(
+        symbol="000858",
+        period="daily",
+        start_date="20220516",
+        end_date="20220722",
+        adjust="",
+    )
+    print(stock_zh_a_hist_df)
+    exit(0)
+
+    stock_zh_a_spot_em_df = stock_zh_a_spot_em()
+    print(stock_zh_a_spot_em_df)
+
+    code_id_map_em_df = code_id_map_em()
+    print(code_id_map_em_df)
+
+    stock_zh_a_hist_df = stock_zh_a_hist(
+        symbol="430090",
+        period="daily",
+        start_date="20220516",
+        end_date="20220722",
+        adjust="hfq",
+    )
+    print(stock_zh_a_hist_df)
+
+    stock_zh_a_hist_min_em_df = stock_zh_a_hist_min_em(symbol="833454", period="1")
+    print(stock_zh_a_hist_min_em_df)
+
+    stock_zh_a_hist_pre_min_em_df = stock_zh_a_hist_pre_min_em(symbol="833454")
+    print(stock_zh_a_hist_pre_min_em_df)
+
+    stock_zh_a_spot_em_df = stock_zh_a_spot_em()
+    print(stock_zh_a_spot_em_df)
+
+    stock_zh_a_hist_min_em_df = stock_zh_a_hist_min_em(
+        symbol="000001", period='1'
+    )
+    print(stock_zh_a_hist_min_em_df)
+
+    stock_zh_a_hist_df = stock_zh_a_hist(
+        symbol="833454",
+        period="daily",
+        start_date="20170301",
+        end_date="20211115",
+        adjust="hfq",
+    )
+    print(stock_zh_a_hist_df)
+

stockapp/src/crawling/stock_lhb_em.py

@@ -0,0 +1,888 @@
+# -*- coding:utf-8 -*-
+# !/usr/bin/env python
+"""
+Date: 2022/3/15 17:32
+Desc: 东方财富网-数据中心-龙虎榜单
+https://data.eastmoney.com/stock/tradedetail.html
+"""
+import pandas as pd
+import requests
+from tqdm import tqdm
+
+
+def stock_lhb_detail_em(
+    start_date: str = "20230403", end_date: str = "20230417"
+) -> pd.DataFrame:
+    """
+    东方财富网-数据中心-龙虎榜单-龙虎榜详情
+    https://data.eastmoney.com/stock/tradedetail.html
+    :param start_date: 开始日期
+    :type start_date: str
+    :param end_date: 结束日期
+    :type end_date: str
+    :return: 龙虎榜详情
+    :rtype: pandas.DataFrame
+    """
+    start_date = "-".join([start_date[:4], start_date[4:6], start_date[6:]])
+    end_date = "-".join([end_date[:4], end_date[4:6], end_date[6:]])
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        "sortColumns": "SECURITY_CODE,TRADE_DATE",
+        "sortTypes": "1,-1",
+        "pageSize": "5000",
+        "pageNumber": "1",
+        "reportName": "RPT_DAILYBILLBOARD_DETAILSNEW",
+        "columns": "SECURITY_CODE,SECUCODE,SECURITY_NAME_ABBR,TRADE_DATE,EXPLAIN,CLOSE_PRICE,CHANGE_RATE,BILLBOARD_NET_AMT,BILLBOARD_BUY_AMT,BILLBOARD_SELL_AMT,BILLBOARD_DEAL_AMT,ACCUM_AMOUNT,DEAL_NET_RATIO,DEAL_AMOUNT_RATIO,TURNOVERRATE,FREE_MARKET_CAP,EXPLANATION,D1_CLOSE_ADJCHRATE,D2_CLOSE_ADJCHRATE,D5_CLOSE_ADJCHRATE,D10_CLOSE_ADJCHRATE,SECURITY_TYPE_CODE",
+        "source": "WEB",
+        "client": "WEB",
+        "filter": f"(TRADE_DATE<='{end_date}')(TRADE_DATE>='{start_date}')",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    total_page_num = data_json["result"]["pages"]
+    big_df = pd.DataFrame()
+    for page in range(1, total_page_num + 1):
+        params.update(
+            {
+                "pageNumber": page,
+            }
+        )
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(data_json["result"]["data"])
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df.reset_index(inplace=True)
+    big_df["index"] = big_df.index + 1
+    big_df.rename(
+        columns={
+            "index": "序号",
+            "SECURITY_CODE": "代码",
+            "SECUCODE": "-",
+            "SECURITY_NAME_ABBR": "名称",
+            "TRADE_DATE": "上榜日",
+            "EXPLAIN": "解读",
+            "CLOSE_PRICE": "收盘价",
+            "CHANGE_RATE": "涨跌幅",
+            "BILLBOARD_NET_AMT": "龙虎榜净买额",
+            "BILLBOARD_BUY_AMT": "龙虎榜买入额",
+            "BILLBOARD_SELL_AMT": "龙虎榜卖出额",
+            "BILLBOARD_DEAL_AMT": "龙虎榜成交额",
+            "ACCUM_AMOUNT": "市场总成交额",
+            "DEAL_NET_RATIO": "净买额占总成交比",
+            "DEAL_AMOUNT_RATIO": "成交额占总成交比",
+            "TURNOVERRATE": "换手率",
+            "FREE_MARKET_CAP": "流通市值",
+            "EXPLANATION": "上榜原因",
+            "D1_CLOSE_ADJCHRATE": "上榜后1日",
+            "D2_CLOSE_ADJCHRATE": "上榜后2日",
+            "D5_CLOSE_ADJCHRATE": "上榜后5日",
+            "D10_CLOSE_ADJCHRATE": "上榜后10日",
+        },
+        inplace=True,
+    )
+
+    big_df = big_df[
+        [
+            "序号",
+            "代码",
+            "名称",
+            "上榜日",
+            "解读",
+            "收盘价",
+            "涨跌幅",
+            "龙虎榜净买额",
+            "龙虎榜买入额",
+            "龙虎榜卖出额",
+            "龙虎榜成交额",
+            "市场总成交额",
+            "净买额占总成交比",
+            "成交额占总成交比",
+            "换手率",
+            "流通市值",
+            "上榜原因",
+            "上榜后1日",
+            "上榜后2日",
+            "上榜后5日",
+            "上榜后10日",
+        ]
+    ]
+    big_df["上榜日"] = pd.to_datetime(big_df["上榜日"]).dt.date
+
+    big_df["收盘价"] = pd.to_numeric(big_df["收盘价"], errors="coerce")
+    big_df["涨跌幅"] = pd.to_numeric(big_df["涨跌幅"], errors="coerce")
+    big_df["龙虎榜净买额"] = pd.to_numeric(big_df["龙虎榜净买额"], errors="coerce")
+    big_df["龙虎榜买入额"] = pd.to_numeric(big_df["龙虎榜买入额"], errors="coerce")
+    big_df["龙虎榜卖出额"] = pd.to_numeric(big_df["龙虎榜卖出额"], errors="coerce")
+    big_df["龙虎榜成交额"] = pd.to_numeric(big_df["龙虎榜成交额"], errors="coerce")
+    big_df["市场总成交额"] = pd.to_numeric(big_df["市场总成交额"], errors="coerce")
+    big_df["净买额占总成交比"] = pd.to_numeric(big_df["净买额占总成交比"], errors="coerce")
+    big_df["成交额占总成交比"] = pd.to_numeric(big_df["成交额占总成交比"], errors="coerce")
+    big_df["换手率"] = pd.to_numeric(big_df["换手率"], errors="coerce")
+    big_df["流通市值"] = pd.to_numeric(big_df["流通市值"], errors="coerce")
+    big_df["上榜后1日"] = pd.to_numeric(big_df["上榜后1日"], errors="coerce")
+    big_df["上榜后2日"] = pd.to_numeric(big_df["上榜后2日"], errors="coerce")
+    big_df["上榜后5日"] = pd.to_numeric(big_df["上榜后5日"], errors="coerce")
+    big_df["上榜后10日"] = pd.to_numeric(big_df["上榜后10日"], errors="coerce")
+    return big_df
+
+
+def stock_lhb_stock_statistic_em(symbol: str = "近一月") -> pd.DataFrame:
+    """
+    东方财富网-数据中心-龙虎榜单-个股上榜统计
+    https://data.eastmoney.com/stock/tradedetail.html
+    :param symbol: choice of {"近一月", "近三月", "近六月", "近一年"}
+    :type symbol: str
+    :return: 个股上榜统计
+    :rtype: pandas.DataFrame
+    """
+    symbol_map = {
+        "近一月": "01",
+        "近三月": "02",
+        "近六月": "03",
+        "近一年": "04",
+    }
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        "sortColumns": "BILLBOARD_TIMES,LATEST_TDATE,SECURITY_CODE",
+        "sortTypes": "-1,-1,1",
+        "pageSize": "500",
+        "pageNumber": "1",
+        "reportName": "RPT_BILLBOARD_TRADEALL",
+        "columns": "ALL",
+        "source": "WEB",
+        "client": "WEB",
+        "filter": f'(STATISTICS_CYCLE="{symbol_map[symbol]}")',
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    temp_df = pd.DataFrame(data_json["result"]["data"])
+    temp_df.reset_index(inplace=True)
+    temp_df["index"] = temp_df.index + 1
+    temp_df.columns = [
+        "序号",
+        "-",
+        "代码",
+        "最近上榜日",
+        "名称",
+        "近1个月涨跌幅",
+        "近3个月涨跌幅",
+        "近6个月涨跌幅",
+        "近1年涨跌幅",
+        "涨跌幅",
+        "收盘价",
+        "-",
+        "龙虎榜总成交额",
+        "龙虎榜净买额",
+        "-",
+        "-",
+        "机构买入净额",
+        "上榜次数",
+        "龙虎榜买入额",
+        "龙虎榜卖出额",
+        "机构买入总额",
+        "机构卖出总额",
+        "买方机构次数",
+        "卖方机构次数",
+        "-",
+    ]
+    temp_df = temp_df[
+        [
+            "序号",
+            "代码",
+            "名称",
+            "最近上榜日",
+            "收盘价",
+            "涨跌幅",
+            "上榜次数",
+            "龙虎榜净买额",
+            "龙虎榜买入额",
+            "龙虎榜卖出额",
+            "龙虎榜总成交额",
+            "买方机构次数",
+            "卖方机构次数",
+            "机构买入净额",
+            "机构买入总额",
+            "机构卖出总额",
+            "近1个月涨跌幅",
+            "近3个月涨跌幅",
+            "近6个月涨跌幅",
+            "近1年涨跌幅",
+        ]
+    ]
+    temp_df["最近上榜日"] = pd.to_datetime(temp_df["最近上榜日"]).dt.date
+    return temp_df
+
+
+def stock_lhb_jgmmtj_em(
+    start_date: str = "20220906", end_date: str = "20220906"
+) -> pd.DataFrame:
+    """
+    东方财富网-数据中心-龙虎榜单-机构买卖每日统计
+    https://data.eastmoney.com/stock/jgmmtj.html
+    :param start_date: 开始日期
+    :type start_date: str
+    :param end_date: 结束日期
+    :type end_date: str
+    :return: 机构买卖每日统计
+    :rtype: pandas.DataFrame
+    """
+    start_date = "-".join([start_date[:4], start_date[4:6], start_date[6:]])
+    end_date = "-".join([end_date[:4], end_date[4:6], end_date[6:]])
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        "sortColumns": "NET_BUY_AMT,TRADE_DATE,SECURITY_CODE",
+        "sortTypes": "-1,-1,1",
+        "pageSize": "5000",
+        "pageNumber": "1",
+        "reportName": "RPT_ORGANIZATION_TRADE_DETAILS",
+        "columns": "ALL",
+        "source": "WEB",
+        "client": "WEB",
+        "filter": f"(TRADE_DATE>='{start_date}')(TRADE_DATE<='{end_date}')",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    temp_df = pd.DataFrame(data_json["result"]["data"])
+    temp_df.reset_index(inplace=True)
+    temp_df["index"] = temp_df.index + 1
+    temp_df.columns = [
+        "序号",
+        "-",
+        "名称",
+        "代码",
+        "上榜日期",
+        "收盘价",
+        "涨跌幅",
+        "买方机构数",
+        "卖方机构数",
+        "机构买入总额",
+        "机构卖出总额",
+        "机构买入净额",
+        "市场总成交额",
+        "机构净买额占总成交额比",
+        "换手率",
+        "流通市值",
+        "上榜原因",
+        "-",
+        "-",
+        "-",
+        "-",
+        "-",
+        "-",
+        "-",
+        "-",
+        "-",
+    ]
+    temp_df = temp_df[
+        [
+            "序号",
+            "代码",
+            "名称",
+            "收盘价",
+            "涨跌幅",
+            "买方机构数",
+            "卖方机构数",
+            "机构买入总额",
+            "机构卖出总额",
+            "机构买入净额",
+            "市场总成交额",
+            "机构净买额占总成交额比",
+            "换手率",
+            "流通市值",
+            "上榜原因",
+            "上榜日期",
+        ]
+    ]
+    temp_df["上榜日期"] = pd.to_datetime(temp_df["上榜日期"]).dt.date
+    temp_df["收盘价"] = pd.to_numeric(temp_df["收盘价"], errors="coerce")
+    temp_df["涨跌幅"] = pd.to_numeric(temp_df["涨跌幅"], errors="coerce")
+    temp_df["买方机构数"] = pd.to_numeric(temp_df["买方机构数"], errors="coerce")
+    temp_df["卖方机构数"] = pd.to_numeric(temp_df["卖方机构数"], errors="coerce")
+    temp_df["机构买入总额"] = pd.to_numeric(temp_df["机构买入总额"], errors="coerce")
+    temp_df["机构卖出总额"] = pd.to_numeric(temp_df["机构卖出总额"], errors="coerce")
+    temp_df["机构买入净额"] = pd.to_numeric(temp_df["机构买入净额"], errors="coerce")
+    temp_df["市场总成交额"] = pd.to_numeric(temp_df["市场总成交额"], errors="coerce")
+    temp_df["机构净买额占总成交额比"] = pd.to_numeric(temp_df["机构净买额占总成交额比"], errors="coerce")
+    temp_df["换手率"] = pd.to_numeric(temp_df["换手率"], errors="coerce")
+    temp_df["流通市值"] = pd.to_numeric(temp_df["流通市值"], errors="coerce")
+
+    return temp_df
+
+
+def stock_lhb_jgstatistic_em(symbol: str = "近一月") -> pd.DataFrame:
+    """
+    东方财富网-数据中心-龙虎榜单-机构席位追踪
+    https://data.eastmoney.com/stock/jgstatistic.html
+    :param symbol: choice of {"近一月", "近三月", "近六月", "近一年"}
+    :type symbol: str
+    :return: 机构席位追踪
+    :rtype: pandas.DataFrame
+    """
+    symbol_map = {
+        "近一月": "01",
+        "近三月": "02",
+        "近六月": "03",
+        "近一年": "04",
+    }
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        "sortColumns": "ONLIST_TIMES,SECURITY_CODE",
+        "sortTypes": "-1,1",
+        "pageSize": "5000",
+        "pageNumber": "1",
+        "reportName": "RPT_ORGANIZATION_SEATNEW",
+        "columns": "ALL",
+        "source": "WEB",
+        "client": "WEB",
+        "filter": f'(STATISTICSCYCLE="{symbol_map[symbol]}")',
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    total_page = data_json["result"]["pages"]
+    big_df = pd.DataFrame()
+    for page in tqdm(range(1, total_page + 1), leave=False):
+        params.update({"pageNumber": page})
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(data_json["result"]["data"])
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df.reset_index(inplace=True)
+    big_df["index"] = big_df.index + 1
+    big_df.rename(
+        columns={
+            "index": "序号",
+            "SECURITY_CODE": "代码",
+            "SECURITY_NAME_ABBR": "名称",
+            "CLOSE_PRICE": "收盘价",
+            "CHANGE_RATE": "涨跌幅",
+            "AMOUNT": "龙虎榜成交金额",
+            "ONLIST_TIMES": "上榜次数",
+            "BUY_AMT": "机构买入额",
+            "BUY_TIMES": "机构买入次数",
+            "SELL_AMT": "机构卖出额",
+            "SELL_TIMES": "机构卖出次数",
+            "NET_BUY_AMT": "机构净买额",
+            "M1_CLOSE_ADJCHRATE": "近1个月涨跌幅",
+            "M3_CLOSE_ADJCHRATE": "近3个月涨跌幅",
+            "M6_CLOSE_ADJCHRATE": "近6个月涨跌幅",
+            "Y1_CLOSE_ADJCHRATE": "近1年涨跌幅",
+        },
+        inplace=True,
+    )
+    big_df = big_df[
+        [
+            "序号",
+            "代码",
+            "名称",
+            "收盘价",
+            "涨跌幅",
+            "龙虎榜成交金额",
+            "上榜次数",
+            "机构买入额",
+            "机构买入次数",
+            "机构卖出额",
+            "机构卖出次数",
+            "机构净买额",
+            "近1个月涨跌幅",
+            "近3个月涨跌幅",
+            "近6个月涨跌幅",
+            "近1年涨跌幅",
+        ]
+    ]
+
+    big_df["收盘价"] = pd.to_numeric(big_df["收盘价"], errors="coerce")
+    big_df["涨跌幅"] = pd.to_numeric(big_df["涨跌幅"], errors="coerce")
+    big_df["龙虎榜成交金额"] = pd.to_numeric(big_df["龙虎榜成交金额"], errors="coerce")
+    big_df["上榜次数"] = pd.to_numeric(big_df["上榜次数"], errors="coerce")
+    big_df["机构买入额"] = pd.to_numeric(big_df["机构买入额"], errors="coerce")
+    big_df["机构买入次数"] = pd.to_numeric(big_df["机构买入次数"], errors="coerce")
+    big_df["机构卖出额"] = pd.to_numeric(big_df["机构卖出额"], errors="coerce")
+    big_df["机构卖出次数"] = pd.to_numeric(big_df["机构卖出次数"], errors="coerce")
+    big_df["机构净买额"] = pd.to_numeric(big_df["机构净买额"], errors="coerce")
+    big_df["近1个月涨跌幅"] = pd.to_numeric(big_df["近1个月涨跌幅"], errors="coerce")
+    big_df["近3个月涨跌幅"] = pd.to_numeric(big_df["近3个月涨跌幅"], errors="coerce")
+    big_df["近6个月涨跌幅"] = pd.to_numeric(big_df["近6个月涨跌幅"], errors="coerce")
+    big_df["近1年涨跌幅"] = pd.to_numeric(big_df["近1年涨跌幅"], errors="coerce")
+    return big_df
+
+
+def stock_lhb_hyyyb_em(
+    start_date: str = "20220324", end_date: str = "20220324"
+) -> pd.DataFrame:
+    """
+    东方财富网-数据中心-龙虎榜单-每日活跃营业部
+    https://data.eastmoney.com/stock/jgmmtj.html
+    :param start_date: 开始日期
+    :type start_date: str
+    :param end_date: 结束日期
+    :type end_date: str
+    :return: 每日活跃营业部
+    :rtype: pandas.DataFrame
+    """
+    start_date = "-".join([start_date[:4], start_date[4:6], start_date[6:]])
+    end_date = "-".join([end_date[:4], end_date[4:6], end_date[6:]])
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        "sortColumns": "TOTAL_NETAMT,ONLIST_DATE,OPERATEDEPT_CODE",
+        "sortTypes": "-1,-1,1",
+        "pageSize": "5000",
+        "pageNumber": "1",
+        "reportName": "RPT_OPERATEDEPT_ACTIVE",
+        "columns": "ALL",
+        "source": "WEB",
+        "client": "WEB",
+        "filter": f"(ONLIST_DATE>='{start_date}')(ONLIST_DATE<='{end_date}')",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    total_page = data_json["result"]["pages"]
+
+    big_df = pd.DataFrame()
+    for page in tqdm(range(1, total_page + 1), leave=False):
+        params.update({"pageNumber": page})
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(data_json["result"]["data"])
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df.reset_index(inplace=True)
+    big_df["index"] = big_df.index + 1
+    big_df.columns = [
+        "序号",
+        "营业部名称",
+        "上榜日",
+        "买入个股数",
+        "卖出个股数",
+        "买入总金额",
+        "卖出总金额",
+        "总买卖净额",
+        "-",
+        "-",
+        "买入股票",
+        "-",
+        "-",
+    ]
+    big_df = big_df[
+        [
+            "序号",
+            "营业部名称",
+            "上榜日",
+            "买入个股数",
+            "卖出个股数",
+            "买入总金额",
+            "卖出总金额",
+            "总买卖净额",
+            "买入股票",
+        ]
+    ]
+
+    big_df["上榜日"] = pd.to_datetime(big_df["上榜日"]).dt.date
+    big_df["买入个股数"] = pd.to_numeric(big_df["买入个股数"])
+    big_df["卖出个股数"] = pd.to_numeric(big_df["卖出个股数"])
+    big_df["买入总金额"] = pd.to_numeric(big_df["买入总金额"])
+    big_df["卖出总金额"] = pd.to_numeric(big_df["卖出总金额"])
+    big_df["总买卖净额"] = pd.to_numeric(big_df["总买卖净额"])
+    return big_df
+
+
+def stock_lhb_yybph_em(symbol: str = "近一月") -> pd.DataFrame:
+    """
+    东方财富网-数据中心-龙虎榜单-营业部排行
+    https://data.eastmoney.com/stock/yybph.html
+    :param symbol: choice of {"近一月", "近三月", "近六月", "近一年"}
+    :type symbol: str
+    :return: 营业部排行
+    :rtype: pandas.DataFrame
+    """
+    symbol_map = {
+        "近一月": "01",
+        "近三月": "02",
+        "近六月": "03",
+        "近一年": "04",
+    }
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        "sortColumns": "TOTAL_BUYER_SALESTIMES_1DAY,OPERATEDEPT_CODE",
+        "sortTypes": "-1,1",
+        "pageSize": "5000",
+        "pageNumber": "1",
+        "reportName": "RPT_RATEDEPT_RETURNT_RANKING",
+        "columns": "ALL",
+        "source": "WEB",
+        "client": "WEB",
+        "filter": f'(STATISTICSCYCLE="{symbol_map[symbol]}")',
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    total_page = data_json["result"]["pages"]
+    big_df = pd.DataFrame()
+    for page in tqdm(range(1, total_page + 1), leave=False):
+        params.update({"pageNumber": page})
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(data_json["result"]["data"])
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df.reset_index(inplace=True)
+    big_df["index"] = big_df.index + 1
+    big_df.rename(
+        columns={
+            "index": "序号",
+            "OPERATEDEPT_NAME": "营业部名称",
+            "TOTAL_BUYER_SALESTIMES_1DAY": "上榜后1天-买入次数",
+            "AVERAGE_INCREASE_1DAY": "上榜后1天-平均涨幅",
+            "RISE_PROBABILITY_1DAY": "上榜后1天-上涨概率",
+            "TOTAL_BUYER_SALESTIMES_2DAY": "上榜后2天-买入次数",
+            "AVERAGE_INCREASE_2DAY": "上榜后2天-平均涨幅",
+            "RISE_PROBABILITY_2DAY": "上榜后2天-上涨概率",
+            "TOTAL_BUYER_SALESTIMES_3DAY": "上榜后3天-买入次数",
+            "AVERAGE_INCREASE_3DAY": "上榜后3天-平均涨幅",
+            "RISE_PROBABILITY_3DAY": "上榜后3天-上涨概率",
+            "TOTAL_BUYER_SALESTIMES_5DAY": "上榜后5天-买入次数",
+            "AVERAGE_INCREASE_5DAY": "上榜后5天-平均涨幅",
+            "RISE_PROBABILITY_5DAY": "上榜后5天-上涨概率",
+            "TOTAL_BUYER_SALESTIMES_10DAY": "上榜后10天-买入次数",
+            "AVERAGE_INCREASE_10DAY": "上榜后10天-平均涨幅",
+            "RISE_PROBABILITY_10DAY": "上榜后10天-上涨概率",
+        },
+        inplace=True,
+    )
+    big_df = big_df[
+        [
+            "序号",
+            "营业部名称",
+            "上榜后1天-买入次数",
+            "上榜后1天-平均涨幅",
+            "上榜后1天-上涨概率",
+            "上榜后2天-买入次数",
+            "上榜后2天-平均涨幅",
+            "上榜后2天-上涨概率",
+            "上榜后3天-买入次数",
+            "上榜后3天-平均涨幅",
+            "上榜后3天-上涨概率",
+            "上榜后5天-买入次数",
+            "上榜后5天-平均涨幅",
+            "上榜后5天-上涨概率",
+            "上榜后10天-买入次数",
+            "上榜后10天-平均涨幅",
+            "上榜后10天-上涨概率",
+        ]
+    ]
+
+    big_df["上榜后1天-买入次数"] = pd.to_numeric(big_df["上榜后1天-买入次数"], errors="coerce")
+    big_df["上榜后1天-平均涨幅"] = pd.to_numeric(big_df["上榜后1天-平均涨幅"], errors="coerce")
+    big_df["上榜后1天-上涨概率"] = pd.to_numeric(big_df["上榜后1天-上涨概率"], errors="coerce")
+
+    big_df["上榜后2天-买入次数"] = pd.to_numeric(big_df["上榜后2天-买入次数"], errors="coerce")
+    big_df["上榜后2天-平均涨幅"] = pd.to_numeric(big_df["上榜后2天-平均涨幅"], errors="coerce")
+    big_df["上榜后2天-上涨概率"] = pd.to_numeric(big_df["上榜后2天-上涨概率"], errors="coerce")
+
+    big_df["上榜后3天-买入次数"] = pd.to_numeric(big_df["上榜后3天-买入次数"], errors="coerce")
+    big_df["上榜后3天-平均涨幅"] = pd.to_numeric(big_df["上榜后3天-平均涨幅"], errors="coerce")
+    big_df["上榜后3天-上涨概率"] = pd.to_numeric(big_df["上榜后3天-上涨概率"], errors="coerce")
+
+    big_df["上榜后5天-买入次数"] = pd.to_numeric(big_df["上榜后5天-买入次数"], errors="coerce")
+    big_df["上榜后5天-平均涨幅"] = pd.to_numeric(big_df["上榜后5天-平均涨幅"], errors="coerce")
+    big_df["上榜后5天-上涨概率"] = pd.to_numeric(big_df["上榜后5天-上涨概率"], errors="coerce")
+
+    big_df["上榜后10天-买入次数"] = pd.to_numeric(big_df["上榜后10天-买入次数"], errors="coerce")
+    big_df["上榜后10天-平均涨幅"] = pd.to_numeric(big_df["上榜后10天-平均涨幅"], errors="coerce")
+    big_df["上榜后10天-上涨概率"] = pd.to_numeric(big_df["上榜后10天-上涨概率"], errors="coerce")
+    return big_df
+
+
+def stock_lhb_traderstatistic_em(symbol: str = "近一月") -> pd.DataFrame:
+    """
+    东方财富网-数据中心-龙虎榜单-营业部统计
+    https://data.eastmoney.com/stock/traderstatistic.html
+    :param symbol: choice of {"近一月", "近三月", "近六月", "近一年"}
+    :type symbol: str
+    :return: 营业部统计
+    :rtype: pandas.DataFrame
+    """
+    symbol_map = {
+        "近一月": "01",
+        "近三月": "02",
+        "近六月": "03",
+        "近一年": "04",
+    }
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        "sortColumns": "AMOUNT,OPERATEDEPT_CODE",
+        "sortTypes": "-1,1",
+        "pageSize": "5000",
+        "pageNumber": "1",
+        "reportName": "RPT_OPERATEDEPT_LIST_STATISTICS",
+        "columns": "ALL",
+        "source": "WEB",
+        "client": "WEB",
+        "filter": f'(STATISTICSCYCLE="{symbol_map[symbol]}")',
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    total_page = data_json["result"]["pages"]
+    big_df = pd.DataFrame()
+    for page in tqdm(range(1, total_page + 1), leave=False):
+        params.update({"pageNumber": page})
+        r = requests.get(url, params=params)
+        data_json = r.json()
+        temp_df = pd.DataFrame(data_json["result"]["data"])
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df.reset_index(inplace=True)
+    big_df["index"] = big_df.index + 1
+    big_df.rename(
+        columns={
+            "index": "序号",
+            "OPERATEDEPT_NAME": "营业部名称",
+            "AMOUNT": "龙虎榜成交金额",
+            "SALES_ONLIST_TIMES": "上榜次数",
+            "ACT_BUY": "买入额",
+            "TOTAL_BUYER_SALESTIMES": "买入次数",
+            "ACT_SELL": "卖出额",
+            "TOTAL_SELLER_SALESTIMES": "卖出次数",
+        },
+        inplace=True,
+    )
+    big_df = big_df[
+        [
+            "序号",
+            "营业部名称",
+            "龙虎榜成交金额",
+            "上榜次数",
+            "买入额",
+            "买入次数",
+            "卖出额",
+            "卖出次数",
+        ]
+    ]
+
+    big_df["龙虎榜成交金额"] = pd.to_numeric(big_df["龙虎榜成交金额"], errors="coerce")
+    big_df["上榜次数"] = pd.to_numeric(big_df["上榜次数"], errors="coerce")
+    big_df["买入额"] = pd.to_numeric(big_df["买入额"], errors="coerce")
+    big_df["买入次数"] = pd.to_numeric(big_df["买入次数"], errors="coerce")
+    big_df["卖出额"] = pd.to_numeric(big_df["卖出额"], errors="coerce")
+    big_df["卖出次数"] = pd.to_numeric(big_df["卖出次数"], errors="coerce")
+    return big_df
+
+
+def stock_lhb_stock_detail_date_em(symbol: str = "600077") -> pd.DataFrame:
+    """
+    东方财富网-数据中心-龙虎榜单-个股龙虎榜详情-日期
+    https://data.eastmoney.com/stock/tradedetail.html
+    :param symbol: 股票代码
+    :type symbol: str
+    :return: 个股龙虎榜详情-日期
+    :rtype: pandas.DataFrame
+    """
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        "reportName": "RPT_LHB_BOARDDATE",
+        "columns": "SECURITY_CODE,TRADE_DATE,TR_DATE",
+        "filter": f'(SECURITY_CODE="{symbol}")',
+        "pageNumber": "1",
+        "pageSize": "1000",
+        "sortTypes": "-1",
+        "sortColumns": "TRADE_DATE",
+        "source": "WEB",
+        "client": "WEB",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    temp_df = pd.DataFrame(data_json["result"]["data"])
+    temp_df.reset_index(inplace=True)
+    temp_df["index"] = temp_df.index + 1
+    temp_df.columns = [
+        "序号",
+        "股票代码",
+        "交易日",
+        "-",
+    ]
+    temp_df = temp_df[
+        [
+            "序号",
+            "股票代码",
+            "交易日",
+        ]
+    ]
+    temp_df["交易日"] = pd.to_datetime(temp_df["交易日"]).dt.date
+    return temp_df
+
+
+def stock_lhb_stock_detail_em(
+    symbol: str = "000788", date: str = "20220315", flag: str = "卖出"
+) -> pd.DataFrame:
+    """
+    东方财富网-数据中心-龙虎榜单-个股龙虎榜详情
+    https://data.eastmoney.com/stock/lhb/600077.html
+    :param symbol: 股票代码
+    :type symbol: str
+    :param date: 查询日期; 需要通过 ak.stock_lhb_stock_detail_date_em(symbol="600077") 接口获取相应股票的有龙虎榜详情数据的日期
+    :type date: str
+    :param flag: choice of {"买入", "卖出"}
+    :type flag: str
+    :return: 个股龙虎榜详情
+    :rtype: pandas.DataFrame
+    """
+    flag_map = {
+        "买入": "BUY",
+        "卖出": "SELL",
+    }
+    report_map = {
+        "买入": "RPT_BILLBOARD_DAILYDETAILSBUY",
+        "卖出": "RPT_BILLBOARD_DAILYDETAILSSELL",
+    }
+    url = "https://datacenter-web.eastmoney.com/api/data/v1/get"
+    params = {
+        "reportName": report_map[flag],
+        "columns": "ALL",
+        "filter": f"""(TRADE_DATE='{'-'.join([date[:4], date[4:6], date[6:]])}')(SECURITY_CODE="{symbol}")""",
+        "pageNumber": "1",
+        "pageSize": "500",
+        "sortTypes": "-1",
+        "sortColumns": flag_map[flag],
+        "source": "WEB",
+        "client": "WEB",
+        "_": "1647338693644",
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    temp_df = pd.DataFrame(data_json["result"]["data"])
+    temp_df.reset_index(inplace=True)
+    temp_df["index"] = temp_df.index + 1
+
+    if flag == "买入":
+        temp_df.columns = [
+            "序号",
+            "-",
+            "-",
+            "-",
+            "-",
+            "交易营业部名称",
+            "类型",
+            "-",
+            "-",
+            "-",
+            "-",
+            "买入金额",
+            "卖出金额",
+            "净额",
+            "-",
+            "-",
+            "-",
+            "-",
+            "买入金额-占总成交比例",
+            "卖出金额-占总成交比例",
+            "-",
+        ]
+        temp_df = temp_df[
+            [
+                "序号",
+                "交易营业部名称",
+                "买入金额",
+                "买入金额-占总成交比例",
+                "卖出金额",
+                "卖出金额-占总成交比例",
+                "净额",
+                "类型",
+            ]
+        ]
+        temp_df["买入金额"] = pd.to_numeric(temp_df["买入金额"])
+        temp_df["买入金额-占总成交比例"] = pd.to_numeric(temp_df["买入金额-占总成交比例"])
+        temp_df["卖出金额"] = pd.to_numeric(temp_df["卖出金额"])
+        temp_df["卖出金额-占总成交比例"] = pd.to_numeric(temp_df["卖出金额-占总成交比例"])
+        temp_df.sort_values("类型", inplace=True)
+        temp_df.reset_index(inplace=True, drop=True)
+        temp_df["序号"] = range(1, len(temp_df["序号"]) + 1)
+    else:
+        temp_df.columns = [
+            "序号",
+            "-",
+            "-",
+            "-",
+            "-",
+            "交易营业部名称",
+            "类型",
+            "-",
+            "-",
+            "-",
+            "-",
+            "买入金额",
+            "卖出金额",
+            "净额",
+            "-",
+            "-",
+            "-",
+            "-",
+            "买入金额-占总成交比例",
+            "卖出金额-占总成交比例",
+            "-",
+        ]
+        temp_df = temp_df[
+            [
+                "序号",
+                "交易营业部名称",
+                "买入金额",
+                "买入金额-占总成交比例",
+                "卖出金额",
+                "卖出金额-占总成交比例",
+                "净额",
+                "类型",
+            ]
+        ]
+        temp_df["买入金额"] = pd.to_numeric(temp_df["买入金额"])
+        temp_df["买入金额-占总成交比例"] = pd.to_numeric(temp_df["买入金额-占总成交比例"])
+        temp_df["卖出金额"] = pd.to_numeric(temp_df["卖出金额"])
+        temp_df["卖出金额-占总成交比例"] = pd.to_numeric(temp_df["卖出金额-占总成交比例"])
+        temp_df.sort_values("类型", inplace=True)
+        temp_df.reset_index(inplace=True, drop=True)
+        temp_df["序号"] = range(1, len(temp_df["序号"]) + 1)
+    return temp_df
+
+
+if __name__ == "__main__":
+    stock_lhb_detail_em_df = stock_lhb_detail_em(
+        start_date="20230403", end_date="20230417"
+    )
+    print(stock_lhb_detail_em_df)
+
+    stock_lhb_stock_statistic_em_df = stock_lhb_stock_statistic_em(symbol="近一月")
+    print(stock_lhb_stock_statistic_em_df)
+
+    stock_lhb_stock_statistic_em_df = stock_lhb_stock_statistic_em(symbol="近三月")
+    print(stock_lhb_stock_statistic_em_df)
+
+    stock_lhb_stock_statistic_em_df = stock_lhb_stock_statistic_em(symbol="近六月")
+    print(stock_lhb_stock_statistic_em_df)
+
+    stock_lhb_stock_statistic_em_df = stock_lhb_stock_statistic_em(symbol="近一年")
+    print(stock_lhb_stock_statistic_em_df)
+
+    stock_lhb_jgmmtj_em_df = stock_lhb_jgmmtj_em(
+        start_date="20220904", end_date="20220906"
+    )
+    print(stock_lhb_jgmmtj_em_df)
+
+    stock_lhb_jgstatistic_em_df = stock_lhb_jgstatistic_em(symbol="近一月")
+    print(stock_lhb_jgstatistic_em_df)
+
+    stock_lhb_hyyyb_em_df = stock_lhb_hyyyb_em(
+        start_date="20220324", end_date="20220324"
+    )
+    print(stock_lhb_hyyyb_em_df)
+
+    stock_lhb_yybph_em_df = stock_lhb_yybph_em(symbol="近一月")
+    print(stock_lhb_yybph_em_df)
+
+    stock_lhb_traderstatistic_em_df = stock_lhb_traderstatistic_em(symbol="近一月")
+    print(stock_lhb_traderstatistic_em_df)
+
+    stock_lhb_stock_detail_date_em_df = stock_lhb_stock_detail_date_em(symbol="002901")
+    print(stock_lhb_stock_detail_date_em_df)
+
+    stock_lhb_stock_detail_em_df = stock_lhb_stock_detail_em(
+        symbol="002901", date="20221012", flag="买入"
+    )
+    print(stock_lhb_stock_detail_em_df)
+
+    stock_lhb_stock_detail_em_df = stock_lhb_stock_detail_em(
+        symbol="600016", date="20220324", flag="买入"
+    )
+    print(stock_lhb_stock_detail_em_df)

stockapp/src/crawling/stock_lhb_sina.py

@@ -0,0 +1,216 @@
+#!/usr/bin/env python
+# -*- coding:utf-8 -*-
+"""
+Date: 2022/11/19 12:00
+Desc: 新浪财经-龙虎榜
+https://vip.stock.finance.sina.com.cn/q/go.php/vInvestConsult/kind/lhb/index.phtml
+"""
+import pandas as pd
+import requests
+from bs4 import BeautifulSoup
+from tqdm import tqdm
+
+
+def stock_lhb_detail_daily_sina(
+    trade_date: str = "20200730", symbol: str = "当日无价格涨跌幅限制的A股，出现异常波动停牌的股票"
+) -> pd.DataFrame:
+    """
+    龙虎榜-每日详情
+    http://vip.stock.finance.sina.com.cn/q/go.php/vInvestConsult/kind/lhb/index.phtml
+    :param trade_date: 交易日, e.g., trade_date="20200729"
+    :type trade_date: str
+    :param symbol: 指定标题
+    :type symbol: str
+    :return: 龙虎榜-每日详情
+    :rtype: pandas.DataFrame
+    """
+    trade_date = "-".join([trade_date[:4], trade_date[4:6], trade_date[6:]])
+    url = "http://vip.stock.finance.sina.com.cn/q/go.php/vInvestConsult/kind/lhb/index.phtml"
+    params = {"tradedate": trade_date}
+    r = requests.get(url, params=params)
+    soup = BeautifulSoup(r.text, "lxml")
+    table_name_list = [
+        item.get_text().strip()
+        for item in soup.find_all(
+            "span", attrs={"style": "font-weight:bold;font-size:14px;"}
+        )
+        if item.get_text().strip() != ""
+    ]
+    if symbol == "返回当前交易日所有可查询的指标":
+        return table_name_list
+    else:
+        position_num = table_name_list.index(symbol)
+        if len(table_name_list) == position_num + 1:
+            temp_df_1 = pd.read_html(r.text, flavor='bs4', header=1)[position_num].iloc[0:, :]
+            temp_df_2 = pd.read_html(r.text, flavor='bs4', header=1)[position_num + 1].iloc[0:, :]
+            temp_df_3 = pd.read_html(r.text, flavor='bs4', header=1)[position_num + 2].iloc[0:, :]
+            temp_df = pd.concat([temp_df_1, temp_df_2, temp_df_3], ignore_index=True)
+        else:
+            temp_df = pd.read_html(r.text, flavor='bs4', header=1)[position_num].iloc[0:, :]
+    temp_df["股票代码"] = temp_df["股票代码"].astype(str).str.zfill(6)
+    del temp_df["查看详情"]
+    temp_df.columns = ["序号", "股票代码", "股票名称", "收盘价", "对应值", "成交量", "成交额"]
+    return temp_df
+
+
+def _find_last_page(url: str = None, recent_day: str = "60"):
+    url = "http://vip.stock.finance.sina.com.cn/q/go.php/vLHBData/kind/ggtj/index.phtml"
+    params = {
+        "last": recent_day,
+        "p": "1",
+    }
+    r = requests.get(url, params=params)
+    soup = BeautifulSoup(r.text, "lxml")
+    try:
+        previous_page = int(soup.find_all(attrs={"class": "page"})[-2].text)
+    except:
+        previous_page = 1
+    if previous_page != 1:
+        while True:
+            params = {
+                "last": recent_day,
+                "p": previous_page,
+            }
+            r = requests.get(url, params=params)
+            soup = BeautifulSoup(r.text, "lxml")
+            last_page = int(soup.find_all(attrs={"class": "page"})[-2].text)
+            if last_page != previous_page:
+                previous_page = last_page
+                continue
+            else:
+                break
+    return previous_page
+
+
+def stock_lhb_ggtj_sina(recent_day: str = "30") -> pd.DataFrame:
+    """
+    龙虎榜-个股上榜统计
+    http://vip.stock.finance.sina.com.cn/q/go.php/vLHBData/kind/ggtj/index.phtml
+    :param recent_day: choice of {"5": 最近 5 天; "10": 最近 10 天; "30": 最近 30 天; "60": 最近 60 天;}
+    :type recent_day: str
+    :return: 龙虎榜-每日详情
+    :rtype: pandas.DataFrame
+    """
+    url = "http://vip.stock.finance.sina.com.cn/q/go.php/vLHBData/kind/ggtj/index.phtml"
+    last_page_num = _find_last_page(url, recent_day)
+    big_df = pd.DataFrame()
+    for page in tqdm(range(1, last_page_num + 1), leave=False):
+        params = {
+            "last": recent_day,
+            "p": page,
+        }
+        r = requests.get(url, params=params)
+        temp_df = pd.read_html(r.text)[0].iloc[0:, :]
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df["股票代码"] = big_df["股票代码"].astype(str).str.zfill(6)
+    big_df.columns = ["股票代码", "股票名称", "上榜次数", "累积购买额", "累积卖出额", "净额", "买入席位数", "卖出席位数"]
+    return big_df
+
+
+def stock_lhb_yytj_sina(recent_day: str = "5") -> pd.DataFrame:
+    """
+    龙虎榜-营业部上榜统计
+    http://vip.stock.finance.sina.com.cn/q/go.php/vLHBData/kind/yytj/index.phtml
+    :param recent_day: choice of {"5": 最近 5 天; "10": 最近 10 天; "30": 最近 30 天; "60": 最近 60 天;}
+    :type recent_day: str
+    :return: 龙虎榜-营业部上榜统计
+    :rtype: pandas.DataFrame
+    """
+    url = "http://vip.stock.finance.sina.com.cn/q/go.php/vLHBData/kind/yytj/index.phtml"
+    last_page_num = _find_last_page(url, recent_day)
+    big_df = pd.DataFrame()
+    for page in tqdm(range(1, last_page_num + 1), leave=False):
+        params = {
+            "last": "5",
+            "p": page,
+        }
+        r = requests.get(url, params=params)
+        temp_df = pd.read_html(r.text)[0].iloc[0:, :]
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df.columns = ["营业部名称", "上榜次数", "累积购买额", "买入席位数", "累积卖出额", "卖出席位数", "买入前三股票"]
+    big_df['上榜次数'] = pd.to_numeric(big_df['上榜次数'], errors="coerce")
+    big_df['买入席位数'] = pd.to_numeric(big_df['买入席位数'], errors="coerce")
+    big_df['卖出席位数'] = pd.to_numeric(big_df['卖出席位数'], errors="coerce")
+    return big_df
+
+
+def stock_lhb_jgzz_sina(recent_day: str = "5") -> pd.DataFrame:
+    """
+    龙虎榜-机构席位追踪
+    http://vip.stock.finance.sina.com.cn/q/go.php/vLHBData/kind/jgzz/index.phtml
+    :param recent_day: choice of {"5": 最近 5 天; "10": 最近 10 天; "30": 最近 30 天; "60": 最近 60 天;}
+    :type recent_day: str
+    :return: 龙虎榜-机构席位追踪
+    :rtype: pandas.DataFrame
+    """
+    url = "http://vip.stock.finance.sina.com.cn/q/go.php/vLHBData/kind/jgzz/index.phtml"
+    last_page_num = _find_last_page(url, recent_day)
+    big_df = pd.DataFrame()
+    for page in tqdm(range(1, last_page_num + 1), leave=False):
+        params = {
+            "last": recent_day,
+            "p": page,
+        }
+        r = requests.get(url, params=params)
+        temp_df = pd.read_html(r.text)[0].iloc[0:, :]
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df["股票代码"] = big_df["股票代码"].astype(str).str.zfill(6)
+    del big_df["当前价"]
+    del big_df["涨跌幅"]
+    big_df.columns = ["股票代码", "股票名称", "累积买入额", "买入次数", "累积卖出额", "卖出次数", "净额"]
+    big_df['买入次数'] = pd.to_numeric(big_df['买入次数'], errors="coerce")
+    big_df['卖出次数'] = pd.to_numeric(big_df['卖出次数'], errors="coerce")
+    return big_df
+
+
+def stock_lhb_jgmx_sina() -> pd.DataFrame:
+    """
+    龙虎榜-机构席位成交明细
+    http://vip.stock.finance.sina.com.cn/q/go.php/vLHBData/kind/jgmx/index.phtml
+    :return: 龙虎榜-机构席位成交明细
+    :rtype: pandas.DataFrame
+    """
+    url = "http://vip.stock.finance.sina.com.cn/q/go.php/vLHBData/kind/jgmx/index.phtml"
+    params = {
+        "p": "1",
+    }
+    r = requests.get(url, params=params)
+    soup = BeautifulSoup(r.text, "lxml")
+    try:
+        last_page_num = int(soup.find_all(attrs={"class": "page"})[-2].text)
+    except:
+        last_page_num = 1
+    big_df = pd.DataFrame()
+    for page in tqdm(range(1, last_page_num + 1), leave=False):
+        params = {
+            "p": page,
+        }
+        r = requests.get(url, params=params)
+        temp_df = pd.read_html(r.text)[0].iloc[0:, :]
+        big_df = pd.concat([big_df, temp_df], ignore_index=True)
+    big_df["股票代码"] = big_df["股票代码"].astype(str).str.zfill(6)
+    return big_df
+
+
+if __name__ == "__main__":
+    indicator_name_list = stock_lhb_detail_daily_sina(
+        trade_date="20221118", symbol="返回当前交易日所有可查询的指标"
+    )
+    print(indicator_name_list)
+
+    stock_lhb_detail_daily_sina_df = stock_lhb_detail_daily_sina(
+        trade_date="20221118", symbol="换手率达20%的证券"
+    )
+    print(stock_lhb_detail_daily_sina_df)
+
+    stock_lhb_ggtj_sina_df = stock_lhb_ggtj_sina(recent_day="60")
+    print(stock_lhb_ggtj_sina_df)
+
+    stock_lhb_yytj_sina_df = stock_lhb_yytj_sina(recent_day="60")
+    print(stock_lhb_yytj_sina_df)
+
+    stock_lhb_jgzz_sina_df = stock_lhb_jgzz_sina(recent_day="30")
+    print(stock_lhb_jgzz_sina_df)
+
+    stock_lhb_jgmx_sina_df = stock_lhb_jgmx_sina()
+    print(stock_lhb_jgmx_sina_df)

stockapp/src/crawling/stock_selection.py

@@ -0,0 +1,79 @@
+# -*- coding:utf-8 -*-
+# !/usr/bin/env python
+
+import pandas as pd
+import requests
+import instock.core.tablestructure as tbs
+
+__author__ = 'myh '
+__date__ = '2023/5/9 '
+
+
+def stock_selection() -> pd.DataFrame:
+    """
+    东方财富网-个股-选股器
+    https://data.eastmoney.com/xuangu/
+    :return: 选股器
+    :rtype: pandas.DataFrame
+    """
+    cols = tbs.TABLE_CN_STOCK_SELECTION['columns']
+    sty = ""  # 初始值 "SECUCODE,SECURITY_CODE,SECURITY_NAME_ABBR,CHANGE_RATE"
+    for k in cols:
+        sty = f"{sty},{cols[k]['map']}"
+    url = "https://data.eastmoney.com/dataapi/xuangu/list"
+    params = {
+        "sty": sty[1:],
+        "filter": "(MARKET+in+(\"上交所主板\",\"深交所主板\",\"深交所创业板\"))(NEW_PRICE>0)",
+        "p": 1,
+        "ps": 10000,
+        "source": "SELECT_SECURITIES",
+        "client": "WEB"
+    }
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    data = data_json["result"]["data"]
+    if not data:
+        return pd.DataFrame()
+    temp_df = pd.DataFrame(data)
+
+    mask = ~temp_df['CONCEPT'].isna()
+    temp_df.loc[mask, 'CONCEPT'] = temp_df.loc[mask, 'CONCEPT'].apply(lambda x: ', '.join(x))
+    mask = ~temp_df['STYLE'].isna()
+    temp_df.loc[mask, 'STYLE'] = temp_df.loc[mask, 'STYLE'].apply(lambda x: ', '.join(x))
+
+    for k in cols:
+        t = tbs.get_field_type_name(cols[k]["type"])
+        if t == 'numeric':
+            temp_df[cols[k]["map"]] = pd.to_numeric(temp_df[cols[k]["map"]], errors="coerce")
+        elif t == 'datetime':
+            temp_df[cols[k]["map"]] = pd.to_datetime(temp_df[cols[k]["map"]], errors="coerce").dt.date
+
+    return temp_df
+
+
+def stock_selection_params():
+    """
+    东方财富网-个股-选股器-选股指标
+    https://data.eastmoney.com/xuangu/
+    :return: 选股器-选股指标
+    :rtype: pandas.DataFrame
+    """
+    url = "https://datacenter-web.eastmoney.com/wstock/selection/api/data/get"
+    params = {
+        "type": "RPTA_PCNEW_WHOLE",
+        "sty": "ALL",
+        "p": 1,
+        "ps": 50000,
+        "source": "SELECT_SECURITIES",
+        "client": "WEB"
+    }
+
+    r = requests.get(url, params=params)
+    data_json = r.json()
+    zxzb = data_json["zxzb"]  # 指标
+    print(zxzb)
+
+
+if __name__ == "__main__":
+    stock_selection_df = stock_selection()
+    print(stock_selection)

stockapp/src/crawling/trade_date_hist.py

@@ -0,0 +1,331 @@
+#!/usr/bin/env python
+# -*- coding:utf-8 -*-
+"""
+Date: 2022/10/1 19:27
+Desc: 新浪财经-交易日历
+https://finance.sina.com.cn/realstock/company/klc_td_sh.txt
+此处可以用来更新 calendar.json 文件，注意末尾没有 "," 号
+"""
+import datetime
+import pandas as pd
+import requests
+from py_mini_racer import py_mini_racer
+
+hk_js_decode = """
+function d(t) {
+    var e, i, n, r, a, o, s, l = (arguments,
+            864e5), u = 7657, c = [], h = [], d = ~(3 << 30), f = 1 << 30,
+        p = [0, 3, 5, 6, 9, 10, 12, 15, 17, 18, 20, 23, 24, 27, 29, 30], m = Math, g = function () {
+            var l, u;
+            for (l = 0; 64 > l; l++)
+                h[l] = m.pow(2, l),
+                26 > l && (c[l] = v(l + 65),
+                    c[l + 26] = v(l + 97),
+                10 > l && (c[l + 52] = v(l + 48)));
+            for (c.push("+", "/"),
+                     c = c.join(""),
+                     i = t.split(""),
+                     n = i.length,
+                     l = 0; n > l; l++)
+                i[l] = c.indexOf(i[l]);
+            return r = {},
+                e = o = 0,
+                a = {},
+                u = w([12, 6]),
+                s = 63 ^ u[1],
+            {
+                _1479: T,
+                _136: _,
+                _200: S,
+                _139: k,
+                _197: _mi_run
+            }["_" + u[0]] || function () {
+                return []
+            }
+        }, v = String.fromCharCode, b = function (t) {
+            return t === {}._
+        }, N = function () {
+            var t, e;
+            for (t = y(),
+                     e = 1; ;) {
+                if (!y())
+                    return e * (2 * t - 1);
+                e++
+            }
+        }, y = function () {
+            var t;
+            return e >= n ? 0 : (t = i[e] & 1 << o,
+                o++,
+            o >= 6 && (o -= 6,
+                e++),
+                !!t)
+        }, w = function (t, r, a) {
+            var s, l, u, c, d;
+            for (l = [],
+                     u = 0,
+                 r || (r = []),
+                 a || (a = []),
+                     s = 0; s < t.length; s++)
+                if (c = t[s],
+                    u = 0,
+                    c) {
+                    if (e >= n)
+                        return l;
+                    if (t[s] <= 0)
+                        u = 0;
+                    else if (t[s] <= 30) {
+                        for (; d = 6 - o,
+                                   d = c > d ? d : c,
+                                   u |= (i[e] >> o & (1 << d) - 1) << t[s] - c,
+                                   o += d,
+                               o >= 6 && (o -= 6,
+                                   e++),
+                                   c -= d,
+                                   !(0 >= c);)
+                            ;
+                        r[s] && u >= h[t[s] - 1] && (u -= h[t[s]])
+                    } else
+                        u = w([30, t[s] - 30], [0, r[s]]),
+                        a[s] || (u = u[0] + u[1] * h[30]);
+                    l[s] = u
+                } else
+                    l[s] = 0;
+            return l
+        }, x = function (t) {
+            var e, i, n;
+            for (t > 1 && (e = 0),
+                     e = 0; t > e; e++)
+                r.d++,
+                    n = r.d % 7,
+                (3 == n || 4 == n) && (r.d += 5 - n);
+            return i = new Date,
+                i.setTime((u + r.d) * l),
+                i
+        }, S = function () {
+            var t, i, a, o, l;
+            if (s >= 1)
+                return [];
+            for (r.d = w([18], [1])[0] - 1,
+                     a = w([3, 3, 30, 6]),
+                     r.p = a[0],
+                     r.ld = a[1],
+                     r.cd = a[2],
+                     r.c = a[3],
+                     r.m = m.pow(10, r.p),
+                     r.pc = r.cd / r.m,
+                     i = [],
+                     t = 0; o = {
+                d: 1
+            },
+                 y() && (a = w([3])[0],
+                     0 == a ? o.d = w([6])[0] : 1 == a ? (r.d = w([18])[0],
+                         o.d = 0) : o.d = a),
+                     l = {
+                         day: x(o.d)
+                     },
+                 y() && (r.ld += N()),
+                     a = w([3 * r.ld], [1]),
+                     r.cd += a[0],
+                     l.close = r.cd / r.m,
+                     i.push(l),
+                 !(e >= n) && (e != n - 1 || 63 & (r.c ^ t + 1)); t++)
+                ;
+            return i[0].prevclose = r.pc,
+                i
+        }, _ = function () {
+            var t, i, a, o, l, u, c, h, d, f, p;
+            if (s > 2)
+                return [];
+            for (c = [],
+                     d = {
+                         v: "volume",
+                         p: "price",
+                         a: "avg_price"
+                     },
+                     r.d = w([18], [1])[0] - 1,
+                     h = {
+                         day: x(1)
+                     },
+                     a = w(1 > s ? [3, 3, 4, 1, 1, 1, 5] : [4, 4, 4, 1, 1, 1, 3]),
+                     t = 0; 7 > t; t++)
+                r[["la", "lp", "lv", "tv", "rv", "zv", "pp"][t]] = a[t];
+            for (r.m = m.pow(10, r.pp),
+                     s >= 1 ? (a = w([3, 3]),
+                         r.c = a[0],
+                         a = a[1]) : (a = 5,
+                         r.c = 2),
+                     r.pc = w([6 * a])[0],
+                     h.pc = r.pc / r.m,
+                     r.cp = r.pc,
+                     r.da = 0,
+                     r.sa = r.sv = 0,
+                     t = 0; !(e >= n) && (e != n - 1 || 7 & (r.c ^ t)); t++) {
+                for (l = {},
+                         o = {},
+                         f = r.tv ? y() : 1,
+                         i = 0; 3 > i; i++)
+                    if (p = ["v", "p", "a"][i],
+                    (f ? y() : 0) && (a = N(),
+                        r["l" + p] += a),
+                        u = "v" == p && r.rv ? y() : 1,
+                        a = w([3 * r["l" + p] + ("v" == p ? 7 * u : 0)], [!!i])[0] * (u ? 1 : 100),
+                        o[p] = a,
+                    "v" == p) {
+                        if (!(l[d[p]] = a) && (s > 1 || 241 > t) && (r.zv ? !y() : 1)) {
+                            o.p = 0;
+                            break
+                        }
+                    } else
+                        "a" == p && (r.da = (1 > s ? 0 : r.da) + o.a);
+                r.sv += o.v,
+                    l[d.p] = (r.cp += o.p) / r.m,
+                    r.sa += o.v * r.cp,
+                    l[d.a] = b(o.a) ? t ? c[t - 1][d.a] : l[d.p] : r.sv ? ((m.floor((r.sa * (2e3 / r.m) + r.sv) / r.sv) >> 1) + r.da) / 1e3 : l[d.p] + r.da / 1e3,
+                    c.push(l)
+            }
+            return c[0].date = h.day,
+                c[0].prevclose = h.pc,
+                c
+        }, T = function () {
+            var t, e, i, n, a, o, l;
+            if (s >= 1)
+                return [];
+            for (r.lv = 0,
+                     r.ld = 0,
+                     r.cd = 0,
+                     r.cv = [0, 0],
+                     r.p = w([6])[0],
+                     r.d = w([18], [1])[0] - 1,
+                     r.m = m.pow(10, r.p),
+                     a = w([3, 3]),
+                     r.md = a[0],
+                     r.mv = a[1],
+                     t = []; a = w([6]),
+                     a.length;) {
+                if (i = {
+                    c: a[0]
+                },
+                    n = {},
+                    i.d = 1,
+                32 & i.c)
+                    for (; ;) {
+                        if (a = w([6])[0],
+                        63 == (16 | a)) {
+                            l = 16 & a ? "x" : "u",
+                                a = w([3, 3]),
+                                i[l + "_d"] = a[0] + r.md,
+                                i[l + "_v"] = a[1] + r.mv;
+                            break
+                        }
+                        if (32 & a) {
+                            o = 8 & a ? "d" : "v",
+                                l = 16 & a ? "x" : "u",
+                                i[l + "_" + o] = (7 & a) + r["m" + o];
+                            break
+                        }
+                        if (o = 15 & a,
+                            0 == o ? i.d = w([6])[0] : 1 == o ? (r.d = o = w([18])[0],
+                                i.d = 0) : i.d = o,
+                            !(16 & a))
+                            break
+                    }
+                n.date = x(i.d);
+                for (o in {
+                    v: 0,
+                    d: 0
+                })
+                    b(i["x_" + o]) || (r["l" + o] = i["x_" + o]),
+                    b(i["u_" + o]) && (i["u_" + o] = r["l" + o]);
+                for (i.l_l = [i.u_d, i.u_d, i.u_d, i.u_d, i.u_v],
+                         l = p[15 & i.c],
+                     1 & i.u_v && (l = 31 - l),
+                     16 & i.c && (i.l_l[4] += 2),
+                         e = 0; 5 > e; e++)
+                    l & 1 << 4 - e && i.l_l[e]++,
+                        i.l_l[e] *= 3;
+                i.d_v = w(i.l_l, [1, 0, 0, 1, 1], [0, 0, 0, 0, 1]),
+                    o = r.cd + i.d_v[0],
+                    n.open = o / r.m,
+                    n.high = (o + i.d_v[1]) / r.m,
+                    n.low = (o - i.d_v[2]) / r.m,
+                    n.close = (o + i.d_v[3]) / r.m,
+                    a = i.d_v[4],
+                "number" == typeof a && (a = [a, a >= 0 ? 0 : -1]),
+                    r.cd = o + i.d_v[3],
+                    l = r.cv[0] + a[0],
+                    r.cv = [l & d, r.cv[1] + a[1] + !!((r.cv[0] & d) + (a[0] & d) & f)],
+                    n.volume = (r.cv[0] & f - 1) + r.cv[1] * f,
+                    t.push(n)
+            }
+            return t
+        }, k = function () {
+            var t, e, i, n;
+            if (s > 1)
+                return [];
+            for (r.l = 0,
+                     n = -1,
+                     r.d = w([18])[0] - 1,
+                     i = w([18])[0]; r.d < i;)
+                e = x(1),
+                    0 >= n ? (y() && (r.l += N()),
+                        n = w([3 * r.l], [0])[0] + 1,
+                    t || (t = [e],
+                        n--)) : t.push(e),
+                    n--;
+            return t
+        };
+    return _mi_run = function () {
+        var t, i, a, o;
+        if (s >= 1)
+            return [];
+        for (r.f = w([6])[0],
+                 r.c = w([6])[0],
+                 a = [],
+                 r.dv = [],
+                 r.dl = [],
+                 t = 0; t < r.f; t++)
+            r.dv[t] = 0,
+                r.dl[t] = 0;
+        for (t = 0; !(e >= n) && (e != n - 1 || 7 & (r.c ^ t)); t++) {
+            for (o = [],
+                     i = 0; i < r.f; i++)
+                y() && (r.dl[i] += N()),
+                    r.dv[i] += w([3 * r.dl[i]], [1])[0],
+                    o[i] = r.dv[i];
+            a.push(o)
+        }
+        return a
+    }
+        ,
+        g()()
+}
+"""
+
+
+def tool_trade_date_hist_sina() -> pd.DataFrame:
+    """
+    交易日历-历史数据
+    https://finance.sina.com.cn/realstock/company/klc_td_sh.txt
+    :return: 交易日历
+    :rtype: pandas.DataFrame
+    """
+    url = "https://finance.sina.com.cn/realstock/company/klc_td_sh.txt"
+    r = requests.get(url)
+    js_code = py_mini_racer.MiniRacer()
+    js_code.eval(hk_js_decode)
+    dict_list = js_code.call(
+        "d", r.text.split("=")[1].split(";")[0].replace('"', "")
+    )  # 执行js解密代码
+    temp_df = pd.DataFrame(dict_list)
+    temp_df.columns = ["trade_date"]
+    temp_df["trade_date"] = pd.to_datetime(temp_df["trade_date"]).dt.date
+    temp_list = temp_df["trade_date"].to_list()
+    temp_list.append(datetime.date(1992, 5, 4))  # 是交易日但是交易日历缺失该日期
+    temp_list.sort()
+    temp_df = pd.DataFrame(temp_list, columns=["trade_date"])
+    return temp_df
+
+
+if __name__ == "__main__":
+    tool_trade_date_hist_df = tool_trade_date_hist_sina()
+    print(tool_trade_date_hist_df)

stockapp/src/get_futu_rehb.py

@@ -22,7 +22,7 @@ import pandas as pd
 import config
 
 # 设置日志
-config.setup_logging("./log/futu_rehab.log")
+config.setup_logging()
 
 # 连接 MySQL 数据库
 def get_mysql_connection():

stockapp/src/get_hs300_his_kline.py

@@ -21,7 +21,7 @@ from futu import *
 from datetime import datetime, timedelta
 import config
 
-config.setup_logging("./log/get_hs300_his_kline.log")
+config.setup_logging()
 
 # 连接 MySQL
 connection = pymysql.connect(**config.db_config)

stockapp/src/get_market_snapshot.py

@@ -21,9 +21,7 @@ import logging
 import config
 
 # 设置日志
-# 设置日志
+config.setup_logging()
-filename = os.path.splitext(os.path.basename(__file__))[0]
-config.setup_logging(f"./log/{filename}.log")
 logger = logging.getLogger()
 
 # 数据库连接函数

stockapp/src/get_plat_list.py

@@ -19,14 +19,7 @@ from futu import *
 import pymysql
 from datetime import datetime
 import logging
-
+import config
-# MySQL 配置
-db_config = {
-    'host': '172.18.0.2',
-    'user': 'root',
-    'password': 'mysqlpw',
-    'database': 'stockdb'
-}
 
 # 市场映射
 market_mapping = {
@@ -36,9 +29,8 @@ market_mapping = {
     'SH': Market.SH
 }
 
-# 配置日志记录
+# 设置日志
-logging.basicConfig(filename='mysql_errors.log', level=logging.ERROR,
+config.setup_logging()
-                    format='%(asctime)s %(levelname)s:%(message)s')
 
 # 板块集合类型映射
 plat_mapping = {
@@ -48,7 +40,7 @@ plat_mapping = {
 }
 
 # 建立 MySQL 连接
-connection = pymysql.connect(**db_config)
+connection = pymysql.connect(**config.db_config)
 
 # 定义插入或更新函数
 def insert_or_update_data(connection, data, market, plat):

stockapp/src/get_sp500_his_kline.py

@@ -34,8 +34,7 @@ kline_adjust = True
 table_name = 'sp500_qfq_his_202410' if kline_adjust else 'sp500_his_kline_none'
 
 # 使用 config.py 中的日志配置
-filename = os.path.splitext(os.path.basename(__file__))[0]
+config.setup_logging()
-config.setup_logging(f"./log/{filename}.log")
 logger = logging.getLogger()
 
 # MySQL数据库连接

stockapp/src/stat_adjust_kline.py

@@ -40,7 +40,7 @@ tables_mapping = {
 }
 
 # 日志配置
-config.setup_logging("./log/stat_adjust_kline.log")
+config.setup_logging()
 logger = logging.getLogger()
 
 # MySQL数据库连接

stockapp/src/stat_sp500_adjust_kline.py

@@ -27,8 +27,7 @@ import time
 import config
 
 # 设置日志
-filename = os.path.splitext(os.path.basename(__file__))[0]
+config.setup_logging()
-config.setup_logging(f"./log/{filename}.log")
 logger = logging.getLogger()
 
 # 数据库连接函数

stockapp/src/stat_yield_rate.py

@@ -22,6 +22,9 @@ from datetime import datetime
 import argparse
 import config
 
+# 配置日志
+config.setup_logging()
+
 # 设置默认值
 default_min_stat_years = 5
 allowed_min_stat_years = [3, 5]  # 允许的年份统计范围
@@ -56,9 +59,6 @@ def parse_arguments():
 # 获取用户输入的参数
 min_stat_years, debug, market_key = parse_arguments()
 
-# 配置日志
-config.setup_logging(f'./log/stat_yield_{market_key}_{min_stat_years}years_rate.log')
-
 # 传入表名的映射
 table_mapping = {
     "hs300": {