def eval_stock(ticker):
result = "Summary: "
score = 0
momentum = False
if ystockquote.get_50_sma(ticker) > ystockquote.get_200_sma(ticker):
result+="stock has momentum, 50 day moving avg is %s and 200 day is %s" % (ystockquote.get_50_sma(ticker),
ystockquote.get_200_sma(ticker))
score+=1
momentum=True
else:
result+="Stock has no momentum, 50 day moving avg is %s and 200 day is %s" % (ystockquote.get_50_sma(ticker),
ystockquote.get_200_sma(ticker))
if float(ystockquote.get_1_year_target(ticker)) > (1.2 * float(ystockquote.get_todays_high(ticker))):
result+=" 20% away from price target"
score += 1
#Short ratio of 5 or higher with positive momentum means investors may likely buy to cover soon
if momentum==True and float(ystockquote.get_short_ratio(ticker)) > 3.0:
score+=2
result+= " \n short ratio is " + ystockquote.get_short_ratio(ticker)
if float(ystockquote.get_eps(ticker))>.02*float(ystockquote.get_todays_high(ticker)):
score+=1.5
result += " \n EPS: " + ystockquote.get_eps(ticker) + " today's high is " + ystockquote.get_todays_high(ticker)
result+= " \n , notes (if applicable)" + ystockquote.get_notes(ticker)
return result, "Score is " + str(score)
def test_get_short_ratio(self):
value = ystockquote.get_short_ratio(self.symbol)
self.assertIsInstance(value, str)
def test_get_short_ratio(self):
value = ystockquote.get_short_ratio(self.symbol)
self.assertIsInstance(value, str)
for line in lines:
#get rid of the new line syntax
line=line.strip("',/\n[]")
tickers.append(line)
return tickers
print(store_tickers("tickers.csv"))
print (eval_stock('CSG'))
print (type(float(ystockquote.get_todays_high('GOOG'))))
print(ystockquote.get_short_ratio('LQMT'))
print(ystockquote.get_eps_estimate_current_year('GOOG'))
#trailing 12 months number
print(ystockquote.get_eps('GOOG'))
print(ystockquote.get_price_eps_estimate_current_year('GOOG'))
##Some of the methods available
name = ystockquote.get_company_name('GOOG')
mktcap = ystockquote.get_market_cap('GOOG')
print ("Name: %s , Market Cap %s" %(name,mktcap))
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))
return render_to_response('scrapyr_app/stock.html', context=context)
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,
),
)
return render_to_response("scrapyr_app/stock.html", context=context)
def data_type():
print "From the list above, enter the data type you'd like to see"
data = raw_input("> ")
print "What stock would you like to see data on?"
stock = raw_input("> ")
if data == 'price' or data == 'Price':
print ystockquote.get_price(stock)
elif data == 'change' or data == 'Change':
print ystockquote.get_change(stock)
elif data == 'Volume' or data == 'volume':
print ystockquote.get_avg_daily_vol(stock)
elif data == 'exchange' or data == 'Exchange':
print ystockquote.get_stock_exchange(stock)
elif data == 'market cap' or data == 'Market cap' or data == 'Market Cap':
print ystockquote.get_market_cap(stock)
elif data == 'book value' or data == 'Book value' or data == 'Book Value':
print ystockquote.get_book_value(stock)
elif data == 'eps' or data == 'EPS':
print ystockquote.get_earnings_per_share(stock)
elif data == 'short ratio' or data == 'Short Ratio':
print ystockquote.get_short_ratio(stock)
elif data == 'dividend yield' or data == 'Dividend Yield' or data == 'div yield':
print ystockquote.get_dividend_yield(stock)
elif data == 'ebitda' or data == 'EBITDA':
print ystockquote.get_ebitda(stock)
else:
print 'Sorry, we don\'t have that data type'
quit()