Python Share.get_avg_daily_volume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_avg_daily_volume [as 别名]
    def data_frame_companies_amount(list_companies,porcentaje_volumnen_diario,max_var_pvd):

        # Es una funcion que toma una lista de empresas (codificadas por yahoo.finance), el porcentaje (tanto por uno)
        # sobre el volumen diario a considerar y la maxima variacion en porcentaje (tanto por uno) sobre este porcentaje.



        list_index=["ask5","ask4","ask3","ask2","ask1","bid1","bid2","bid3","bid4","bid5"]
        companies_amount=pd.DataFrame(index=list_index)
        for i in list_companies:

            company = Share(i)
            volume=company.get_volume()
            cantidad_per_ba=float(company.get_avg_daily_volume())*porcentaje_volumnen_diario
            num=cantidad_per_ba*max_var_pvd # variacion maxima respecto al 1% del volumen diario
            vec_list_amount=[]

            for h in range(0,len(list_index)):

                vec_list_amount.append(round(cantidad_per_ba+np.random.randint(-num,num,1)))

            vec_amount=np.array(vec_list_amount)
            companies_amount[i]=vec_amount   

        return companies_amount

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_avg_daily_volume [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_avg_daily_volume [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_avg_daily_volume [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_avg_daily_volume [as 别名]
	if myargs.volume is True:
		volume = stock.get_volume()
		output.append(volume)
		selections.append('Volume: ')
		print output
		

	if myargs.change is True:
		change = stock.get_change()
		output.append(change)
		selections.append('Change: ')
		print change

	if myargs.avgvol is True:
		avgvolume = stock.get_avg_daily_volume()
		print avgvolume

	if myargs.short is True:
		short = stock.get_short_ratio()
		print short

	if myargs.peratio is True:
		pe = stock.get_price_earnings_ratio()
		print pe

	if myargs.exchange is True:
		exchange = stock.get_stock_exchange()

	if myargs.ma50 is True:
		ma50 = stock.get_50day_moving_avg()

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_avg_daily_volume [as 别名]
	except:
		pass
	try:
		russell3000.set_value(s,'Change',shy.get_change())
	except:
		pass
	try:
		russell3000.set_value(s,'Volume',shy.get_volume())
	except:
		pass
	try:
		russell3000.set_value(s,'Open',shy.get_open())
	except:
		pass
	try:
		russell3000.set_value(s,'Average daily volume',shy.get_avg_daily_volume())
	except:
		pass
	try:
		russell3000.set_value(s,'Market cap',shy.get_market_cap())
	except:
		pass
	try:
		russell3000.set_value(s,'Book value',shy.get_book_value())
	except:
		pass
	try:
		russell3000.set_value(s,'Ebitda',shy.get_ebitda())
	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_avg_daily_volume [as 别名]
from Parser.models import EtfInfo, EtfData, StockInfo, StockDetail



etfResult = StockInfo.objects.values('ticker', 'name')

#for etfIdx in range(0, len(etfResult)) :
tickerStr = etfResult[0]['ticker']

share = Share(tickerStr)

dateStr = share.get_trade_datetime()[0:11].replace('-','')
ma_200Str = convert(share.get_200day_moving_avg())
ma_50Str = convert(share.get_50day_moving_avg())
book_valueStr = convert(share.get_book_value())
volume_avgStr = convert(share.get_avg_daily_volume())
ebitdaStr = convert(share.get_ebitda())
dividend_yieldStr = convert(share.get_dividend_yield())
market_capStr = convert(share.get_market_cap())
year_highStr = convert(share.get_year_high())
year_lowStr = convert(share.get_year_low())

print tickerStr, dateStr, ma_200Str, ma_50Str, book_valueStr, volume_avgStr, ebitdaStr, dividend_yieldStr, market_capStr, year_highStr, year_lowStr


# print share.get_change()
# print share.get_days_high()
# print share.get_days_low()
# print share.get_dividend_share()
# print share.get_info()
# print share.get_open()

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_avg_daily_volume [as 别名]
            print(row_title)
        ticker = ticker.rstrip()
        if len(ticker) == 0:
            continue
        stock = Share(ticker)
        stock.refresh()
        change = (float(stock.get_price()) - float(stock.get_prev_close()))/float(stock.get_prev_close()) 
        change = round(change *100.0, 2)
        if change > 0.0:
            change= '+' + str(change)
        else:    
            change =str(change)
          
        line = ticker.ljust(7) 
        line += stock.get_price().ljust(9)+ change.ljust(8)+ stock.get_volume().ljust(11) + \
            str(round(float(stock.get_volume())/float(stock.get_avg_daily_volume())*100.0)).ljust(8) +\
            stock.get_open().ljust(10)+ \
            stock.get_days_low().ljust(10)+ \
            stock.get_days_high().ljust(10)+ \
            stock.get_year_low().ljust(10)+ \
            stock.get_year_high().ljust(10)
        line = line + str(stock.get_market_cap()).ljust(11) + \
            str(stock.get_price_earnings_ratio()).ljust(8)+\
            stock.get_50day_moving_avg().ljust(10) +\
            stock.get_200day_moving_avg().ljust(10) 
        print(line)    
    except Exception as e:
        print("Exception error:", str(e))
        traceback.print_exc()
    i+=1

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_avg_daily_volume [as 别名]
def relative_analysis_00_get_average_daily_volume(stock_name):
    # TODO: Error checking.
    stock = Share(stock_name)
    return stock.get_avg_daily_volume()

# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_avg_daily_volume [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_avg_daily_volume [as 别名]
from yahoo_finance import Share, Currency



yahoo = Share('AAPL')

yahoo.refresh()

print yahoo.get_info()
print yahoo.get_avg_daily_volume()
print yahoo.get_stock_exchange()
print yahoo.get_book_value()
print yahoo.get_ebitda()
print yahoo.get_dividend_share()
print yahoo.get_price_earnings_ratio()
print yahoo.get_short_ratio()
print yahoo.get_price_book()

# f = open('nasdaqlisted.txt', 'r')

# print (f.readline())
# print (f.readline())