本文整理汇总了Python中yahoo_finance.Share.get_200day_moving_avg方法的典型用法代码示例。如果您正苦于以下问题:Python Share.get_200day_moving_avg方法的具体用法?Python Share.get_200day_moving_avg怎么用?Python Share.get_200day_moving_avg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_200day_moving_avg方法的11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: combine
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_200day_moving_avg [as 别名]
def combine(onedayago, twodaysago, threedaysago, fivedaysago, oneweekago, companyname):
print "Analyzing data from the past few days..."
dates = [onedayago, twodaysago, threedaysago, fivedaysago, oneweekago]
for i in dates:
i == i.format('YYYY-MM-DD')
# Just gets the info and puts it into programmer friendly names
def getclosing(date, company):
# Thanks to stackoverflow user 'TessellatingHeckler' for helping me out with this next function! At the time dictionaries were a foreign concept to me.
readings = company.get_historical(date, date)
for reading in readings:
close = reading['Close']
return close
company = Share(companyname)
closingonedayago = getclosing(str(dates[0]), company)
closingtwodaysago = getclosing(str(dates[1]), company)
closingthreedaysago = getclosing(str(dates[2]), company)
closingfivedaysago = getclosing(str(dates[3]), company)
closingoneweekago = getclosing(str(dates[4]), company)
twohundredavg = company.get_200day_moving_avg()
fiftyavg = company.get_50day_moving_avg()
today = company.get_price()
decision(today, closingonedayago, closingtwodaysago, closingthreedaysago, closingfivedaysago, closingoneweekago, twohundredavg, fiftyavg)
示例2: __init__
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_200day_moving_avg [as 别名]
class Stock:
"""
"""
def __init__(self, n):
self.name = n
self.confidence_list = []
self.fifty_day_moving_average = None
self.two_hundred_day_moving_average = None
self.price_earnings_growth_ratio = None
self.confidence_string = None
self.current_price = None
self.stock = Share(self.name)
def calculate_confidence_percentage(self):
self.confidence_list = []
self.confidence_list.append(sc.formula_00_is_stock_above_50_day_moving_average(self.get_current_price(), self.get_fifty_day_moving_average()))
self.confidence_list.append(sc.formula_01_is_stock_above_200_day_moving_average(self.get_current_price(), self.get_two_hundred_day_moving_average()))
self.confidence_list.append(sc.formula_02_pattern_guesser_confidence_for_tomorrow(self.name))
confidence_string = ''
for c in self.confidence_list:
confidence_string += str(c) + ", "
self.confidence_string = 'Confidence List: ' + confidence_string + '\tAverage Confidence: ' + str(sum(self.confidence_list) / len(self.confidence_list))
def get_name(self):
"""TODO:...
:return:
"""
return self.name
def get_current_price(self):
if self.current_price is None:
self.current_price = self.stock.get_price()
def get_confidence_string(self):
if self.confidence_string is None:
self.calculate_confidence_percentage()
return self.confidence_string
def get_fifty_day_moving_average(self):
if self.fifty_day_moving_average is None:
self.fifty_day_moving_average = self.stock.get_50day_moving_avg()
return self.fifty_day_moving_average
def get_two_hundred_day_moving_average(self):
if self.two_hundred_day_moving_average is None:
self.two_hundred_day_moving_average = self.stock.get_200day_moving_avg()
return self.two_hundred_day_moving_average
def get_price_earnings_growth_ratio(self):
if self.price_earnings_growth_ratio is None:
self.price_earnings_growth_ratio = self.stock.get_price_earnings_growth_ratio()
return self.price_earnings_growth_ratio
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_200day_moving_avg [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: rec
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_200day_moving_avg [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()
示例5: 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_200day_moving_avg [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6:
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_200day_moving_avg [as 别名]
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()
print ma50
if myargs.ma200 is True:
ma200 = stock.get_200day_moving_avg()
print ma200
if myargs.marketcap is True:
marketcap = stock.get_market_cap()
print marketcap
if myargs.getopen is True:
getopen = stock.get_open()
print getopen
if myargs.getbook is True:
getbook = stock.get_book_value()
print getbook
if myargs.dividendshare is True:
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_200day_moving_avg [as 别名]
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:
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:
示例8: refresh_yahoo_api_data
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_200day_moving_avg [as 别名]
def refresh_yahoo_api_data(self):
yahoo_data = Share(self.symbol)
self.fifty_moving_avg = yahoo_data.get_50day_moving_avg()
self.two_hundred_moving_avg = yahoo_data.get_200day_moving_avg()
self.year_high = yahoo_data.get_year_high()
self.year_low = yahoo_data.get_year_low()
示例9: range
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_200day_moving_avg [as 别名]
from yahoo_finance import Share
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()
示例10: len
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_200day_moving_avg [as 别名]
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
#you get get a spy.txt and then filter everything by yourself
示例11: view_stock
# 需要导入模块: from yahoo_finance import Share [as 别名]
# 或者: from yahoo_finance.Share import get_200day_moving_avg [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.........