本文整理汇总了Python中yahoo_finance.Share.get_price_sales方法的典型用法代码示例。如果您正苦于以下问题:Python Share.get_price_sales方法的具体用法?Python Share.get_price_sales怎么用?Python Share.get_price_sales使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类yahoo_finance.Share
的用法示例。
在下文中一共展示了Share.get_price_sales方法的9个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: updateInfos
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_price_sales [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.')
示例2: createInfos
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_price_sales [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.')
示例3: stock_summary
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_price_sales [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})
示例4: write_technical_files
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_price_sales [as 别名]
def write_technical_files(stock_code, start_time, end_time):
# """ Experiment on quandl """
# print('quandl data')
# mydata = quandl.get("FRED/GDP")
# print(mydata)
# print('hello')
# data = quandl.get("WIKI/FB.11", start_date="2014-01-01", end_date="2014-12-31", collapse="monthly", transform="diff")
# print(data)
stock = Share(stock_code)
print('stock.get_info()')
print(stock.get_info())
print('get_price()')
print(stock.get_price())
print('get_change()')
print(stock.get_change())
print('get_stock_exchange()')
print(stock.get_stock_exchange())
print('get_market_cap()')
print(stock.get_market_cap())
print('get_book_value()')
print(stock.get_book_value())
print('get_ebitda()')
print(stock.get_ebitda())
print('get_dividend_share()')
print(stock.get_dividend_share())
print('get_dividend_yield()')
print(stock.get_dividend_yield())
print('get_earnings_share()')
print(stock.get_earnings_share())
print('get_50day_moving_avg()')
print(stock.get_50day_moving_avg())
print('get_200day_moving_avg()')
print(stock.get_200day_moving_avg())
print('get_price_earnings_ratio()')
print(stock.get_price_earnings_ratio())
print('get_price_earnings_growth_ratio()')
print(stock.get_price_earnings_growth_ratio())
print('get_price_sales()')
print(stock.get_price_sales())
print('get_price_book()')
print(stock.get_price_book())
print('get_short_ratio()')
print(stock.get_short_ratio())
print('historical_data')
print(stock.get_historical(start_time, end_time))
historical_data = stock.get_historical(start_time, end_time)
info_text = "Symbol\t" + "Stock Exchange\t" + "Price\t" + "Market Cap\t" + "Book Value\t" + "EBITDA\t" + "50d Moving Avg\t" + "100d Moving Avg\n"
info_text += str(stock.get_info()['symbol']) + "\t" + str(stock.get_stock_exchange()) + "\t" + str(stock.get_price()) + "\t" + str(stock.get_market_cap()) + "\t" + str(stock.get_book_value()) + "\t";
info_text += str(stock.get_ebitda()) + "\t" + str(stock.get_50day_moving_avg()) + "\t" + str(stock.get_200day_moving_avg()) + "\n";
info_directory = '/data/info.tsv'
write_to_file(info_directory, info_text)
high_low_text = "date\t" + "High\t" + "Low\n"
open_close_text = "date\t" + "Open\t" + "Close\n"
volume_text = "date\t" + "Volume\n"
for index, value in enumerate(historical_data):
date = str(historical_data[len(historical_data) - 1 - index]['Date'])
date = date.replace('-','')
stock_high = str(historical_data[len(historical_data) - 1 - index]['High'])
stock_low = str(historical_data[len(historical_data) - 1 - index]['Low'])
stock_open = str(historical_data[len(historical_data) - 1 - index]['Open'])
stock_close = str(historical_data[len(historical_data) - 1 - index]['Close'])
stock_volume = str(int(historical_data[len(historical_data) - 1 - index]['Volume']) / 1000)
high_low_text += date + "\t" + stock_high + "\t" + stock_low + "\n"
open_close_text += date + "\t" + stock_open + "\t" + stock_close + "\n"
volume_text += date + "\t" + stock_volume + "\n"
high_low_directory = '/data/highlow.tsv'
open_close_directory = '/data/openclose.tsv'
volume_directory = '/data/volume.tsv'
#.........这里部分代码省略.........
示例5: Share
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_price_sales [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()
示例6: str
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_price_sales [as 别名]
print daylow
if myargs.yearhigh is True:
yearhigh = stock.get_year_high()
print yearhigh
if myargs.yearlow is True:
yearlow = stock.get_year_low()
print yearlow
if myargs.ebitda is True:
ebitda = stock.get_ebitda()
print ebitda
if myargs.ps is True:
ps = stock.get_price_sales()
print ps
if myargs.peg is True:
peg = stock.get_price_earnings_growth_ratio()
print peg
if myargs.percentchange is True:
change = stock.get_change()
getopen = stock.get_open()
percentchange = yahoofinancecalc.getPercentChange(stock, change, getopen)
print str(percentchange) + "%"
if myargs.percentoffhigh is True:
realtimequote = realtime.scraper(myargs.ticker)
poh = yahoofinancecalc.offHigh(stock, realtimequote)
示例7:
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_price_sales [as 别名]
russell3000.set_value(s,'50 days MA',shy.get_50day_moving_avg())
except:
pass
try:
russell3000.set_value(s,'200 days MA',shy.get_200day_moving_avg())
except:
pass
try:
russell3000.set_value(s,'Price earnings ratio',shy.get_price_earnings_ratio())
except:
pass
try:
russell3000.set_value(s,'Price earnings growth ratio',shy.get_price_earnings_growth_ratio())
except:
pass
try:
russell3000.set_value(s,'Price sales',shy.get_price_sales())
except:
pass
try:
russell3000.set_value(s,'Price book',shy.get_price_book())
except:
pass
try:
russell3000.set_value(s,'Short ratio',shy.get_short_ratio())
except:
pass
u=datetime.now()
ofn='r3alldata'+str(u)[0:4]+str(u)[5:7]+str(u)[8:10]+'.xls'
russell3000.to_excel(ofn)
示例8: view_stock
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_price_sales [as 别名]
def view_stock(request, ticker):
if request.user.__class__.__name__ is "CustomUser":
c_user = get_object_or_404(CustomUser, pk=request.user.pk)
account = Account.objects.get(user=c_user)
else:
account = False
stock = get_object_or_404(Stock, ticker=ticker)
companyName = stock.ticker
companyName = companyName.upper()
stock = Stock.objects.get(ticker=companyName)
namer = "'" + companyName + "'"
ystock = Share(companyName)
the_price = ystock.get_price()
regex = 'Business Summary</span></th><th align="right"> </th></tr></table><p>(.+?)</p>'
pattern = re.compile(regex)
root_url = urllib.urlopen("http://finance.yahoo.com/q/pr?s=" + companyName + "+Profile")
htmltext = root_url.read()
decoded_str = str(re.findall(pattern, htmltext)).decode("utf8")
encoded_str = decoded_str.encode("ascii", "ignore")
stock.description = encoded_str
stock.description = stock.description[:-2]
stock.description = stock.description[2:]
stock.book_value = ystockquote.get_book_value(companyName)
stock.change = ystockquote.get_change(companyName)
# stock.dividend_per_share = ystockquote.get_dividend_per_share(companyName)
# stock.dividend_yield = ystockquote.get_dividend_yield(companyName)
stock.ebitda = ystockquote.get_ebitda(companyName)
stock.fifty_two_week_high = ystockquote.get_52_week_high(companyName)
stock.fifty_two_week_low = ystockquote.get_52_week_low(companyName)
stock.market_cap = ystockquote.get_market_cap(companyName)
stock.short_ratio = ystockquote.get_short_ratio(companyName)
stock.stock_exchange = ystockquote.get_stock_exchange(companyName)
stock.volume = ystockquote.get_volume(companyName)
stock.price = ystock.get_price()
# yahoo_finance
stock.average_daily_volume = ystock.get_avg_daily_volume()
stock.earnings_per_share = ystock.get_price_earnings_ratio()
stock.fifty_day_moving_avg = ystock.get_50day_moving_avg()
stock.two_hundred_day_moving_avg = ystock.get_200day_moving_avg()
stock.price_book_ratio = ystock.get_price_book()
stock.last_sale = ystock.get_price()
stock.price_earnings_growth_ratio = ystock.get_price_earnings_growth_ratio()
stock.price_earnings_ratio = ystock.get_price_earnings_ratio()
stock.price_sales_ratio = ystock.get_price_sales()
stock.save()
vl = []
acl = []
hl = []
ll = []
cl = []
ol = []
days_list = []
d = 0
seven_days_ago = datetime.datetime.now() + datetime.timedelta(-30)
today = datetime.datetime.now()
days = ystockquote.get_historical_prices("GOOGL", seven_days_ago.strftime("%Y-%m-%d"), today.strftime("%Y-%m-%d"))
for day in days.keys():
d += 1
date_label = datetime.datetime.now() + datetime.timedelta(-d)
days_list.append(date_label.strftime("%b-%d"))
day_info = days.get(day)
vol = int(day_info.get("Volume"))
vl.append(vol)
adjcl = float(day_info.get("Adj Close"))
acl.append(adjcl)
highs = float(day_info.get("High"))
hl.append(highs)
lows = float(day_info.get("Low"))
ll.append(lows)
closes = float(day_info.get("Close"))
cl.append(closes)
opens = float(day_info.get("Open"))
ol.append(opens)
volume = vl
lows = ll
opens = ol
highs = hl
averages = acl
closes = cl
days_l = days_list[::-1]
context = RequestContext(
request,
dict(
account=account,
request=request,
stock=stock,
volume=volume,
lows=lows,
highs=highs,
opens=opens,
closes=closes,
averages=averages,
days_l=days_l,
),
#.........这里部分代码省略.........
示例9: Share
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_price_sales [as 别名]
# -*- coding: utf-8 -*-
"""
Created on Fri Jun 10 17:01:18 2016
@author: SMALLON
"""
IBB = ['AMGN','GILD','CELG','BIIB','REGN','MYL','ILMN','VRTX','ALXN','INCY','BMRN','MDVN','JAZZ', 'ALKS','SHPG','SGEN','ALNY','QGEN','UTHR','TSRO','NBIX','TECH','ENDP','ACAD','AKRX','ICPT','IONS','HZNP','JUNO','CBPO','LGND','PRAH','GRFS','MDCO','KITE','INCR','IPXL','MYGN','OPHT','NKTR','RARE','NVAX','EXEL','PRTA','IRWD','RDUS','BLUE','ONCE','AGIO','LXRX','ARIA','GWPH','PCRX','SAGE','PTLA','MCRB','ALDR','FPRX','INVA','XLRN','HALO','ACOR','ACHN','DEPO','FGEN','DERM','INSY','TBPH','CXRX','SRPT','CHRS','SUPN','MGNX','LMNX','AMAG','GHDX','RGEN','RLYP','CEMP','ADRO','MNTA','DBVT','FMI','AMPH','FOLD','XNCR','EGRX','SGNT','MACK','PACB','INSM','SGYP','ANIP','INO','CERS','RTRX','ATRA','AMRI','EPZM','PDLI','BPMC','CLVS','SCMP','NK','ARRY','XBIT','SCLN','FLML','RPTP','VNDA','LBIO','AERI','MNKD','CLDX','SPPI','OTIC','TLGT','FLXN','ARNA','OMER','GERN','PGNX','ENTA','AMRN','SGMO','RVNC','NDRM', 'BLCM','OMED','TRVN','ARDX','ARWR','CGEN','VSAR','AKBA','ADMS','NLNK','VTAE','COLL','AGTC','NSTG','CNCE','ESPR','IMGN','KPTI','PTCT','IMMU','PETX','ITEK','CCXI','BCRX','DRRX','FOMX','FLKS','ZGNX','RIGL','CRIS','VTL','CMRX','OVAS','RGLS','OSIR','QURE','EGLT','TTPH','NEOS','CASC','IMDZ','CARA','ECYT','AQXP','ANTH','OCUL','ADVM','ADHD','TKAI','SQNM','AFMD','ZFGN','INFI','LIFE','DRNA','CHMA','DNAI','KMPH','OREX','AEGR','USD']
SMBIx = IBB = ['AMGN','GILD','CELG','BIIB','REGN','MYL','ILMN','VRTX','ALXN','INCY','BMRN','MDVN','JAZZ', 'ALKS','SHPG','SGEN','ALNY','QGEN','UTHR','TSRO','NBIX','TECH','ENDP','ACAD','AKRX','ICPT','IONS','HZNP','JUNO','CBPO','LGND','PRAH','GRFS','MDCO','KITE','INCR','IPXL','MYGN','OPHT','NKTR','RARE','NVAX','EXEL','PRTA','IRWD','RDUS','BLUE','ONCE','AGIO','LXRX','ARIA','GWPH','PCRX','SAGE','PTLA','MCRB','ALDR','FPRX','INVA','XLRN','HALO','ACOR','ACHN','DEPO','FGEN','DERM','INSY','TBPH','CXRX','SRPT','CHRS','SUPN','MGNX','LMNX','AMAG','GHDX','RGEN','RLYP','CEMP','ADRO','MNTA','DBVT','FMI','AMPH','FOLD','XNCR','EGRX','SGNT','MACK','PACB','INSM','SGYP','ANIP','INO','CERS','RTRX','ATRA','AMRI','EPZM','PDLI','BPMC','CLVS','SCMP','NK','ARRY','XBIT','SCLN','FLML','RPTP','VNDA','LBIO','AERI','MNKD','CLDX','SPPI','OTIC','TLGT','FLXN','ARNA','OMER','GERN','PGNX','ENTA','AMRN','SGMO','RVNC','NDRM', 'BLCM','OMED','TRVN','ARDX','ARWR','CGEN','VSAR','AKBA','ADMS','NLNK','VTAE','COLL','AGTC','NSTG','CNCE','ESPR','IMGN','KPTI','PTCT','IMMU','PETX','ITEK','CCXI','BCRX','DRRX','FOMX','FLKS','ZGNX','RIGL','CRIS','VTL','CMRX','OVAS','RGLS','OSIR','QURE','EGLT','TTPH','NEOS','CASC','IMDZ','CARA','ECYT','AQXP','ANTH','OCUL','ADVM','ADHD','TKAI','SQNM','AFMD','ZFGN','INFI','LIFE','DRNA','CHMA','DNAI','KMPH','OREX','AEGR','USD']
from yahoo_finance import Share
for i in IBB:
t = Share(i)
book = float(t.get_book_value())
if (book > 5.00):
print(i,book,"Book value more than 5b")
from yahoo_finance import Share
for i in IBB:
t = Share(i)
P2S = (t.get_price_sales())
print(P2S)