抓取沪A股票资金流向数据

news/2024/7/19 10:20:18 标签: python, 爬虫, c#

2019独角兽企业重金招聘Python工程师标准>>> hot3.png

library(rvest)
mydata<-list()
day1<-Sys.Date()
day2<-Sys.Date()-7
stock<-c("600695","600734","603693","601990","603650","603045","603895","600735","601999","603970","600619","603200","600358","603336","600265","600682","600679","603963","603659","600857","601069","600074","603013","600802","603568","603958","600155","600845","600536","600130","600519","603010","600432","600789","600801","601066","603605","600686","603232","603703","603596","601601","603035","601996","603806","600246","600835","601888","603160","603299","600617","600637","600097","600088","603607","600556","603637","600340","601619","600211","600593","603978","601108","603021","603816","601519","603079","600301","600421","603026","600560","600666","600828","600228","600095","601018","600812","601139","603507","600888","600779","601336","601939","600371","601881","600495","603606","600152","603108","600084","600773","600354","600128","603298","603081","603355","603718","603933","603886","600702","603363","603106","600660","603897","601375","600275","600446","600081","603929","603516","600381","603019","600761","600179","603678","600009","600337","601799","603757","600323","603138","600874","600898","601006","603009","600741","603506","600239","600633","603063","600719","601908","603833","600011","603348","600636","600315","603661","600120","603889","603688","603611","600900","603356","600280","600690","600703","603900","600586","600080","601107","600853","603131","603881","600386","600661","600884","600718","600302","600248","600756","600864","603444","600061","601689","601919","603089","600478","601126","601398","600988","600909","600380","600742","603123","600736","603803","600961","601555","603599","601155","601878","600229","603222","603726","603579","603139","603326","601318","600030","603839","603556","603339","603458","603180","600016","600023","600033","600051","600107","600135","600153","600162","600187","600203","600227","600298","600300","600317","600321","600330","600369","600513","600551","600599","600696","600712","600769","600936","600960","600973","601058","601099","601179","601328","601595","601608","601618","601988","601998","603023","603266","603383","603730","603778","600887","600535","603380","600977","603110","603988","600182","603787","603133","600598","600783","600183","600958","603416","603979","600276","601515","600241","601009","603335","600996","600901","603773","600793","600897","603116","600036","600620","603533","600136","600770","600510","600693","600729","601158","601669","603118","601377","600143","600965","603283","603860","603917","600621","603188","600749","600778","601688","600860","600191","603601","600683","600377","601798","603968","603156","603041","603587","603000","600873","600975","600113","600355","603517","600502","601019","600067","600651","603178","600336","601226","603136","600819","600503","600881","601933","601567","600568","601818","600628","600665","600824","600270","603776","603888","600068","600439","600797","603869","603037","600754","600114","600919","601858","600967","600460","601579","600837","603186","600190","603098","603655","603600","600588","600455","603712","603707","603877","603007","600456","600602","600410","601717","600984","603289","601838","601166","600242","601877","600570","603179","603876","600060","603990","601801","600576","600704","600390","600743","603595","601677","601949","603908","600137","601211","600160","600104","600604","600192","603666","603360","600863","600826","600917","601200","603868","600266","601929","603020","600559","601311","600589","600605","603099","603043","600053","600220","600760","600238","600854","603233","600550","603129","600976","600350","600567","600611","603879","600603","600083","600699","600715","600480","600757","600653","600571","600177","601800","603345","600706","600575","600933","601628","600995","600635","600790","600195","600196","600243","600727","603258","603809","603318","601966","603077","600829","600297","600577","603801","600615","600723","600163","601127","600626","600963","600642","601288","603798","600803","601163","601901","601216","603799","600676","601886","600885","600748","600141","600870","600050","603519","600444","603500","600112","600774","600199","600098","600000","600890","601177","600606","600882","600359","600283","600644","603066","603588","603638","601678","603367","600613","600106","601010","600100","600831","603520","603976","603999","600305","603333","600565","601518","600758","603626","600379","600373","600425","600585","601198","600173","600708","600775","601333","600251","603022","603505","600787","600601","603758","600511","600048","600530","600159","600269","601326","600558","603198","600830","600452","603955","600681","603676","600732","600267","603585","603029","600643","600658","601777","600624","603578","600468","603069","600493","600818","600959","603028","600193","600608","600805","603157","601668","603305","600939","600667","600846","601028","603227","603269","601866","600648","600208","600057","603311","603936","603580","603887","600261","601789","6036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#stock<-c("600695","600734","603693","601990","603650","603045","603895","600735","601999","603970","600619","603200","600358","603336","600265","600682","600679","603963","603659","600857","601069","600074","603013","600802","603568","603958","600155","600845","600536","600130","600519","603010","600432","600789","600801","601066","603605","600686","603232","603703","603596","601601","603035","601996","603806","600246","600835","601888","603160","603299","600617","600637","600097","600088","603607","600556","603637","600340","601619","600211","600593","603978","601108","603021","603816","601519","603079","600301","600421","603026","600560","600666","600828","600228","600095","601018","600812","601139","603507","600888","600779","601336","601939","600371","601881","600495","603606","600152","603108","600084","600773","600354","600128","603298","603081","603355","603718","603933","603886","600702","603363","603106","600660","603897","601375","600275","600446","600081","603929","603516","600381","603019","600761","600179","603678","600009","600337","601799","603757")
m<-length(stock)
for(n in 1:m)
	{
	Code<-stock[n]
	url<-paste("http://app.finance.ifeng.com/hq/trade/stock_zijin.php?code=sh",Code,"&begin_day=",day2,"&end_day=",day1,sep="")
	web<-read_html(url)
	res<-web%>%html_table(fill=T)%>%as.data.frame
	res<-res[-length(res[,1]),]
	LastAll<-res[2,2]
	NowAll<-res[1,2]
	BeforeAll<-res[3,2]
	RetailIn<-res[1,3]
	BeforeRetail<-res[2,3]
	Deal<-res[1,7]
	t<-data.frame(Code,BeforeAll,LastAll,NowAll,BeforeRetail,RetailIn,Deal)
	mydata[[n]]<-t
	next
	}
S<-do.call(rbind,mydata)
S[,1:7]<-lapply(S[,1:7],as.vector)
g<-function(y){substring(y,1,nchar(y)-2)}
S[,2:7]<-lapply(S[,2:7],g)
S[,2:7]<-lapply(S[,2:7],as.numeric)
S$RIP<-round(S$RetailIn/S$NowAll,2)
S$LRIP<-round(S$BeforeRetail/S$LastAll,2)
S$NP<-round(S$NowAll/S$Deal,2)
t<-strsplit(as.character(Sys.time())," ")[[1]][2]
y<-as.numeric(substring(t,1,2))
u<-as.numeric(substring(t,4,5))
nt<-ifelse(y<12,(y-9)*60+u-30,ifelse(y>14,240,ifelse(y>12,(y-11)*60+u,120)))
TP<-round(nt/240,2)
S$ExpectIn<-round(S$NowAll/TP,0)
S$P<-round(S$ExpectIn/S$LastAll,2)
S<-subset(S,LastAll>1000&P>1&RIP<0.5)
S<-S[order(-S$P),]
print(length(S[,1]))
print(head(S,20))

 

转载于:https://my.oschina.net/u/3093769/blog/1856756


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