Python Share.get_price_sales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_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.')

# 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.')

# 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})

# 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.........

# 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()
        

# 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)

# 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)

# 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">&nbsp;</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.........

# 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)