Python Share.get_earnings_share方法代码示例

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
 def SearchPERatio(self):
     for x in range(8,1503,5):
    # for x in range(8,self.soup.select('.basic2').__len__(),5):
         if self.soup.select('.basic2')[x].text != '-':
             if float(self.soup.select('.basic2')[x].text) <=float(self.TargetPERatio) :
                 QueryPrice = Share(self.soup.select('.basic2')[x-2].text+'.TW') #Query the API  
                 if QueryPrice.get_earnings_share()!=None and float(QueryPrice.get_earnings_share())>=self.TargetEPS:                     # Get EPS
                     self.AllData.append(self.soup.select('.basic2')[x-2].text)  # StockNumber
                     self.AllData.append(QueryPrice.get_open())                  # Get FinalPrice
                     self.AllData.append(self.soup.select('.basic2')[x].text)    # Get PERatio
                     self.AllData.append(QueryPrice.get_earnings_share())

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
def report_current_from_yahoo(symbol):
    yahoo = Share(symbol)
    price_cur = yahoo.get_price()
    eps = yahoo.get_earnings_share()
    pe = yahoo.get_price_earnings_ratio()

    print 'yahoo: price=%s eps=%s, pe=%s'%(price_cur, eps, pe)

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
def fundamentalStats(stock):

	try:

		stokOutput = Share(stock)

		openPrice = stokOutput.get_open()
		closePrice = stokOutput.get_prev_close()	
		dailyDelta = stokOutput.get_change()
		earningsShare = stokOutput.get_earnings_share()	
		fiddyDay = stokOutput.get_50day_moving_avg()
		priceBook = stokOutput.get_price_book()
		peeEee = stokOutput.get_price_earnings_ratio()
		pegRatio = stokOutput.get_price_earnings_growth_ratio()


		if (float(priceBook) < 1.5 and float(peeEee) < 50 and float(pegRatio) < 2 and float(peeEee) > 0):
			csvList = [stock, "open price:", openPrice, "previous close:", closePrice, "daily deltas:", dailyDelta, "earnings per share:", earningsShare, "50 day moving avg:", fiddyDay, "price/book:", priceBook, "price/earnings:", peeEee, "peg:", pegRatio, "\n"]
			print (stock, "will be imported to Excel.") 

			stockPicks = open("picks.csv", "a", newline='')

			writeCSV = csv.writer(stockPicks, dialect='excel')
			for stock in csvList:
				writeCSV.writerow([stock])

		else:
			print (stock, "does not meet criteria.")


	except:
		print(stock, "is missing a defined key statistic.")

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
def createInfos():
    if db.infos.count() == 0:
        print("Creating Infos!!")
        with open('static/sp100.json', 'rb') as f:
            ls = json.load(f)
            for i in ls:
                timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
                symbol = Share(i['name'])
                item = {
                    'name': i['name'],
                    'price': symbol.get_price(),
                    'time': timestamp,
                    'prev_close': symbol.get_prev_close(),
                    'open': symbol.get_open(),
                    'volume': symbol.get_volume(),
                    'pe': symbol.get_price_earnings_ratio(),
                    'eps': symbol.get_earnings_share(),
                    'price_sales': symbol.get_price_sales(),
                    'ebitda': symbol.get_ebitda(),
                    'hotness': ms.hotness_function(i['name']),
                    'BS': ms.bs_function(i['name'])}
                db.infos.insert_one({
                    "name": i['name'],
                    "sector": i['sector'],
                    "data": [item]
                })
        print('Collection Infos Created.')
        return Response('Collection Infos Created.')

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
 def SelectStock(self):
     wb = Workbook()
     ws = wb.active
     with open('export.csv',newline='') as f:
         reader = csv.reader(f)
         index = 2
         title = ["代號","名稱","股價","本益比","EPS"]
         for x in range(0,5,1):
             ws.cell(row=1,column=x+1,value=title[x])
         for row in reader:
             if row!=[]:
                 try:
                     if int(row[0]) < 10000:
                     #    print(row[2])
                         if "-" not in (row[2]) and float(row[2]) < 20:
                          #   print(row)
                             Query = Share(row[0]+'.TW')
                             #print(float(Query.get_earnings_share()))     
                             #print(float(Query.get_open()))
                             #print("******************")
                             if float(Query.get_open()) >= 20 and float(Query.get_open()) <= 90 and float(Query.get_earnings_share())>1.2:
                                 print(row)
                                 ws.cell(row=index , column=1 , value = row[0])
                                 ws.cell(row=index , column=2 , value = row[1])
                                 ws.cell(row=index , column=3 , value = Query.get_open())
                                 ws.cell(row=index , column=4 , value = row[2])
                                 ws.cell(row=index , column=5 , value = Query.get_earnings_share())
                                 index = index + 1
             
                                 
                 except:
                     pass    
         wb.save("Final.xlsx")        

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
 def tesfile(self,event):
         count =0 
         f = open("export.csv","r")
         for row in csv.reader(f):
            # print(row)
             count+=1 
             if count >=4 and (row[2]!='-' and float(row[2])<=self.TargetPERatio):
                     QueryPrice=Share(row[0]+'.TW')
                   #  volumetemp =  self.InTimeObject.GetInTimeStockInfo(row[0])
             #             print(volumetemp)
                     if QueryPrice.get_earnings_share()!=None and float(QueryPrice.get_earnings_share())>=self.TargetEPS and float: #float(QueryPrice.get_earnings_share())>=self.TargetEPS:
                         if float(QueryPrice.get_volume())>=self.TargetVolume and float(QueryPrice.get_price())<=self.TargetPrice:
                             information = row[0] + row[1]+"\t" + QueryPrice.get_earnings_share() +" "+ QueryPrice.get_volume()+"   " + QueryPrice.get_price()
                             self.ThreemenBox.insert(END,information)
             if count==50:
                 break

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
def updateInfos():
    print("Updating Infos!")
    with open('static/sp100.json', 'rb') as f:
        ls = json.load(f)
        for i in ls:
            timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
            print (i['name'])
            symbol = Share(i['name'])
            item = {
                'name': i['name'],
                'price': symbol.get_price(),
                'time': timestamp,
                'prev_close': symbol.get_prev_close(),
                'open': symbol.get_open(),
                'volume': symbol.get_volume(),
                'pe': symbol.get_price_earnings_ratio(),
                'eps': symbol.get_earnings_share(),
                'price_sales': symbol.get_price_sales(),
                'ebitda': symbol.get_ebitda(),
                'hotness': ms.hotness_function(i['name']),
                'BS': ms.bs_function(i['name'])}
            db.infos.update(
                {"name": i['name']},
                {
                    "$push": {"data": item}
                }
            )
    print('Collection Infos Updated.')
    return Response('Collection Infos Updated.')

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
def stock_summary(request, symbol=None):
    if symbol == None:
        symbol = request.POST['symbol']

    current_stock = Stock()
    stock = Share(symbol)
    current_stock.symbol = symbol.upper()
    current_stock.price = stock.get_price()
    current_stock.change = stock.get_change()
    current_stock.volume = stock.get_volume()
    current_stock.prev_close = stock.get_prev_close()
    current_stock.stock_open = stock.get_open()
    current_stock.avg_daily_volume = stock.get_avg_daily_volume()
    current_stock.stock_exchange = stock.get_stock_exchange()
    current_stock.market_cap = stock.get_market_cap()
    current_stock.book_value = stock.get_book_value()
    current_stock.ebitda = stock.get_ebitda()
    current_stock.dividend_share = stock.get_dividend_share()
    current_stock.dividend_yield = stock.get_dividend_yield()
    current_stock.earnings_share = stock.get_earnings_share()
    current_stock.days_high = stock.get_days_high()
    current_stock.days_low = stock.get_days_low()
    current_stock.year_high = stock.get_year_high()
    current_stock.year_low = stock.get_year_low()
    current_stock.fifty_day_moving_avg = stock.get_50day_moving_avg()
    current_stock.two_hundred_day_moving_avg = stock.get_200day_moving_avg()
    current_stock.price_earnings_ratio = stock.get_price_earnings_ratio()
    current_stock.price_earnings_growth_ratio = stock.get_price_earnings_growth_ratio()
    current_stock.price_sales = stock.get_price_sales()
    current_stock.price_book = stock.get_price_book()
    current_stock.short_ratio = stock.get_short_ratio()

    date_metrics = []
    url = 'http://chartapi.finance.yahoo.com/instrument/1.0/'+symbol+'/chartdata;type=quote;range=1y/csv'
    page = urllib2.urlopen(url).read()
    pagebreaks = page.split('\n')
    for line in pagebreaks:
        items = line.split(',')
        if 'Company-Name:' in line:
            current_stock.company_name = line[13:len(line)]
            current_stock.save()
        if 'values' not in items:
            if len(items)==6:
                hd = HistoricalData(
                    stock_id = Stock.objects.get(id=int(current_stock.id)).id,
                    date = items[0][4:6]+'/'+items[0][6:9]+'/'+items[0][0:4],
                    close = items[1][0:(len(items[1])-2)],
                    high = items[2][0:(len(items[2])-2)],
                    price_open = items[3][0:(len(items[3])-2)],
                    low = items[4][0:(len(items[4])-2)],
                    volume = items[5][0:-6]+","+items[5][-6:-3]+","+items[5][-3:len(items[5])])
                hd.save()
                date_metrics.append(hd)
    del date_metrics[0]
    return render(request, "stock_summary.html", {'current_stock': current_stock, 'date_metrics': date_metrics})

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
 def get_company_info(ticker):
     try:
         s = Share(ticker)
         data = {
             'Market_cap': s.get_market_cap(),
             'Average_volume': s.get_avg_daily_volume(),
             'EPS': s.get_earnings_share(),
             'Short_ratio': s.get_short_ratio(),
             'PE': s.get_price_earnings_ratio(),
             'PEG': s.get_price_earnings_growth_ratio(),
         }
         return DataFetcher._extract_company_info(data)
     except YQLQueryError:
         logger.error("Company info not found for {}".format(ticker))
     except Exception as e:
         logger.error("Unexpected error occured: {}".format(e))
     return {}

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
def rec(p):
	yahoo = Share(p)
	a=yahoo.get_prev_close()
	b=yahoo.get_year_high()
	c=yahoo.get_year_low()
	d=yahoo.get_open()
	e=yahoo.get_ebitda()
	f=yahoo.get_market_cap()
	g=yahoo.get_avg_daily_volume()
	h=yahoo.get_dividend_yield()
	i=yahoo.get_earnings_share()
	j=yahoo.get_days_low()
	k=yahoo.get_days_high()
	l=yahoo.get_50day_moving_avg()
	m=yahoo.get_200day_moving_avg()
	n=yahoo.get_price_earnings_ratio()
	o=yahoo.get_price_earnings_growth_ratio()
	print p
	print "Previous Close: ",a
	print "Year High",b
	print "Year Low",c
	print "Open:",d
	print "EBIDTA",e 
	print "Market Cap",f
	print "Average Daily Volume",g 
	print "Dividend Yield",h
	print "Earnings per share",i 
	print "Days Range:", j ,"-",k
	print "50 Days Moving Average",l 
	print "200 Days Moving Average",m
	print"Price Earnings Ratio", n
	print"Price Earnings Growth Ratio",o

	import MySQLdb
	db = MySQLdb.connect(host="127.0.0.1", user="root",passwd="1111", db="stocks",local_infile = 1)  
	cur=db.cursor()
	cur.execute ("""
	            INSERT INTO stockapp_info (symbol, prev_close, year_high, year_low, open_price , ebidta, market_cap, avg_daily_vol , dividend_yield, eps , days_low ,days_high, moving_avg_50, moving_avg_200, price_earnings_ratio, price_earnings_growth_ratio)
	            VALUES
	                (%s, %s, %s, %s, %s, %s, %s,%s,%s,%s,%s,%s,%s,%s,%s,%s)

	        """, (p,a,b,c,d,e,f,g,h,i,j,k,l,m,n,o))
	db.commit() 
	cur.close()

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
		print getopen

	if myargs.getbook is True:
		getbook = stock.get_book_value()
		print getbook

	if myargs.dividendshare is True:
		getdiv = stock.get_dividend_share()
		print getdiv

	if myargs.dividendyield is True:
		dividendyield = stock.get_dividend_yield()
		print dividendyield

	if myargs.eps is True:
		eps = stock.get_earnings_share()
		print eps

	if myargs.dayh is True:
		dayhigh = stock.get_days_high()
		print dayhigh

	if myargs.dayl is True:
		daylow = stock.get_days_low()
		print daylow

	if myargs.yearhigh is True:
		yearhigh = stock.get_year_high()
		print yearhigh

	if myargs.yearlow is True:

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
	except:
		pass
	try:
		russell3000.set_value(s,'Ebitda',shy.get_ebitda())
	except:
		pass
	try:
		russell3000.set_value(s,'Dividend share',shy.get_dividend_share())
	except:
		pass
	#try:
	#	russell3000.set_value(s,'Divident yield',shy.get_dividend_yield())
	#except:
	#	pass
	try:
		russell3000.set_value(s,'Earnings share',shy.get_earnings_share())
	except:
		pass
	try:
		russell3000.set_value(s,'Year high',shy.get_year_high())
	except:
		pass
	try:
		russell3000.set_value(s,'Year low',shy.get_year_low())
	except:
		pass
	try:
		russell3000.set_value(s,'50 days MA',shy.get_50day_moving_avg())
	except:
		pass
	try:

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
# -*- coding: utf-8 -*-
"""
Created on Thu Jul 21 15:17:46 2016

@author: SMALLON
"""

from yahoo_finance import Share
yahoo = Share('YHOO')
goog = Share('GOOG')
print(yahoo.get_ebitda())
print(yahoo.get_earnings_share())
print(yahoo.get_price_book())
print(goog.get_ebitda())
print(goog.get_earnings_share())
print(goog.get_price_book())

from yahoo_finance import Share
IBB = Share('IBB')
print(IBB.get_ebitda())


from yahoo_finance import Share
li = ['YHOO','GOOG']
yahoo = Share('YHOO')
goog = Share('GOOG')
print(yahoo.get_book_value())
for i in li:
    t = Share(i)
    print(i)
    print(t.get_book_value())

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
class Symbol(object):

    def __init__(self, symbol, s_date=None, e_date=None):
        self.log=Logging()
        self.name=symbol
        self.created=datetime.datetime.utcnow()
        self.log.info("created {}".format(self.name))
        try:
            self.share=Share(symbol)
        except:
            self.log.error("platform is offline or not connecting")

        if s_date and e_date:
            self.begin=s_date
            self.end=e_date
            try:
                self.share=Share(symbol)
                self.data=self.share.get_historical(self.begin, self.end)
                self.log.refresh("{} data collected".format(self.name))
            except:
                self.log.error("platform is offline or not connecting")
    
    def refresh_data(self, s_date=None, e_date=None):
        if s_date and e_date:
            try:
                share=Share(self.name)
                self.begin=s_date
                self.end=e_date
                share.get_historical(s_date, e_date)
                self.log.refresh("{} data collected".format(self.name))
            except:
                self.log.error("platform is offline or not connecting")

    def market_cap(self):
        try:
            self.market_cap = self.share.get_market_cap()
            self.log.info("{} market cap refreshed".format(self.name))
        except:
            self.log.error("platform is offline or not connecting")
        
    def earnings_per_share(self):
        try:
            self.eps = self.share.get_earnings_share()
            self.log.info("{} eps refreshed".format(self.name))
        except:
            self.log.error("platform is offline or not connecting")

    def moving_average_50(self):
        try:
            self.moving_average_50 = self.share.get_50day_moving_average()
            self.log.info("{} 50 day moving ave refreshed".format(self.name))
        except:
            self.log.error("platform is offline or not connecting")

    #implement TODO
    def nday_moving_average(self, n):
        try:
            self.moving_average_n = None
            self.log.info("{} {} day moving ave refreshed".format(self.name, n))
        except:
            self.log.error("platform is offline or not connecting")

    def price_earnings_ratio(self):
        try:
            self.price_to_earnings = self.share.get_price_earnings_ratio()
            self.log.info("{} price to earnings refreshed".format(self.name))
        except:
            self.log.error("platform is offline or not connecting")


    def book_value(self):
        try:
            self.book = self.share.get_price_book()
            self.log.info("{} book value refreshed".format(self.name))
        except:
            self.log.error("platform is offline or not connecting")

    def year_high(self):
        try:
            self.year_high = self.share.get_change_from_year_high()
            self.log.info("{} year high change refreshed".format(self.name))
        except:
            self.log.error("platform is offline or not connecting")

    def year_low(self):
        try:
            self.year_low = self.share.get_change_from_year_low()
            self.log.info("{} year low change refreshed".format(self.name))
        except:
            self.log.error("platform is offline or not connecting")

    def target_price(self):
        try:
            self.year_target = self.share.get_change_from_year_high()
            self.log.info("{} year target change refreshed".format(self.name))
        except:
            self.log.error("platform is offline or not connecting")
    
    def year_range(self):
        try:
#.........这里部分代码省略.........

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_earnings_share [as 别名]
import glob, pandas as pd
from yahoo_finance import Share

res = []
for f in glob.glob('data/*.csv'):
    market = f.replace("data/","").replace(".csv","")
    df = pd.read_csv(f)
    for line in df.iterrows():
        res.append((market, line[1].Symbol, line[1].Name))

for (market,symbol,name) in res:
    if market=='nyse':
        x = Share(symbol)
        print x.get_book_value()
        print x.get_ebitda()
        print x.get_earnings_share()
        print x.get_price_sales()