def test_get_all(self): symbol = 'GOOG' all_info = ystockquote.get_all(symbol) self.assertIsInstance(all_info, dict) self.assertEqual(all_info['dividend_yield'], ystockquote.get_dividend_yield(symbol)) self.assertEqual(all_info['fifty_sma'], ystockquote.get_50_sma(symbol)) self.assertEqual(all_info['company_name'], ystockquote.get_company_name(symbol)) self.assertEqual(all_info['book_value'], ystockquote.get_book_value(symbol))
csvfile = open('nasdaqlist.csv', 'rb') reader = csv.reader(csvfile) rownum = 0 stocksymbols = [] stockDetails =[] for row in reader: # Save header row. if rownum == 0: header = row else: #print row stocksymbols.append(row[0]) stockDetails.append(row) rownum += 1 csvfile.close() results = [] for stockDetail in stockDetails: symbol = stockDetail[0] price = float(ystockquote.get_price(symbol)) bookvalue = float(ystockquote.get_book_value(symbol)) halfBook = bookvalue * 0.5 if (price <= halfBook): print ', '.join(stockDetail) results.append(symbol) print len(results)
def test_get_book_value(self): value = ystockquote.get_book_value(self.symbol) self.assertIsInstance(value, str)
##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)) ystockquote.get_200_sma() ystockquote.get_50_sma() ystockquote.get_annualized_gain() ystockquote.get_1_year_target() ystockquote.get_52_week_high() ystockquote.get_52_week_low() ystockquote.get_change_200_sma() ystockquote.get_52_week_range() ystockquote.get_book_value() ystockquote.get_eps_estimate_current_year() ystockquote.get_eps() ystockquote.get_ticker_trend() ystockquote.get_short_ratio() ystockquote.get_revenue() ystockquote.get_average_daily_volume() ystockquote.get_float_shares() ystockquote.get_dividend_yield() ystockquote.get_notes() ystockquote.get_pe() ystockquote.get_all() print (ystockquote.get_all('GOOG'))
symbol = ''.join(str(e) for e in symbolList if e.isalpha()) #turn list of letters in symbol into string symbol.strip() summaryPage = requests.get('http://finance.yahoo.com/q/pr?s=' + symbol, stream=False) d = summaryPage.content soup1 = BeautifulSoup(d) getSummary = soup1.find_all('p') price = str(ystockquote.get_price(symbol)) change = str(ystockquote.get_change(symbol)) volume = str(ystockquote.get_volume(symbol)) stockExchange = str(ystockquote.get_stock_exchange(symbol)) marketCap = str(ystockquote.get_market_cap(symbol)) bValue = str(ystockquote.get_book_value(symbol)) ebitda = str(ystockquote.get_ebitda(symbol)) mvavg = str(ystockquote.get_200day_moving_avg(symbol)) High = str(ystockquote.get_52_week_high(symbol)) Low = str(ystockquote.get_52_week_low(symbol)) commaData = [] data=[price, change, volume, stockExchange, mvavg, bValue, ebitda, marketCap, High, Low] for individData in data: commaInt = humanize.intcomma(individData) commaData.append(commaInt) if float(price) > 0.00:
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()