get global stock image prof
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217
stockTicker.py
217
stockTicker.py
@ -114,7 +114,7 @@ class StockTicker():
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'News':self.getNewsImage, 'Custom Messages': self.getUserMessages, 'Commodities': self.getCommoditiesImage, 'Indices': self.getIndicesImage, 'Movies': self.getMoviesImage, 'Gainers, Losers, Active': self.getMarketImage,
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'Economic Calendar': self.getEconomicImage, 'IPO Calendar':self.getIpoImage, 'IPO Calendar Prof':self.getIpoProfessional, 'Economic Calendar Prof': self.getEconomicProfessional, 'Gainers, Losers, Active Prof': self.getMarketProfessional,
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'Stocks Prof': self.getStockProfessional, 'Crypto Prof': self.getCryptoProfessional, 'Forex Prof': self.getForexProfessional, 'Jokes Prof': self.getJokesProfessional, 'Place (Reddit) Prof': self.getPlaceImageProfessional, 'Inspirational Quotes Prof': self.getQuotesProfessional,
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'Stocks Prof': self.getStockProfessional, 'Global Stocks Prof': self.getGlobalStockProfessional, 'Crypto Prof': self.getCryptoProfessional, 'Forex Prof': self.getForexProfessional, 'Jokes Prof': self.getJokesProfessional, 'Place (Reddit) Prof': self.getPlaceImageProfessional, 'Inspirational Quotes Prof': self.getQuotesProfessional,
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'Current Weather Prof': self.getTodayWeatherProfessional, 'News Prof':self.getNewsProfessional, 'Commodities Prof':self.getCommoditiesProfessional, 'Indices Prof': self.getIndicesProfessional, 'Sector Performance Prof': self.getSectorProfessional,
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'Daily Forecast Prof':self.getDailyWeatherProfessional, 'Sports (Team Stats) Prof':lambda : self.getLeagueTableProfessional('NHL'), 'Sports (Upcoming Games) Prof': lambda : self.getLeagueProfessional('NHL', 'future'),
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'Sports (Past Games) Prof': lambda : self.getLeagueProfessional('NBA', 'past'), 'Custom Messages Prof': self.getUserMessagesProfessional, 'Custom Images Prof': self.getUserImagesProfessional, 'Movies Prof': self.getMoviesProfessional, 'Sports (Live Games) Prof': lambda : self.getLeagueProfessional('NBA', 'live')}
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@ -124,7 +124,7 @@ class StockTicker():
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'Sports (Team Stats)': 'csv/league_tables.json', 'Sports (Past Games)': 'csv/past_games.json', 'IPO Calendar': 'csv/ipo_settings.json', 'Economic Calendar': 'csv/economic_settings.json',
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'Sports (Upcoming Games)': 'csv/upcoming_games.json', 'Sports (Live Games)': 'csv/live_games.json', 'Movies': 'csv/movie_settings.json', 'Clock 1': 'csv/clock1_settings.json', 'Clock 2': 'csv/clock2_settings.json', 'World Clock': 'csv/worldclock_settings.json',
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'News':'csv/news_settings.json', 'Custom Images': 'csv/image_settings.json', 'Custom GIFs': 'csv/GIF_settings.json', 'Custom Messages': 'csv/message_settings.json', 'Clock 1 Prof': 'csv/clock1_settings.json', 'World Clock Prof': 'csv/worldclock_settings.json',
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'Stocks Prof': 'csv/stocks_settings.json', 'Crypto Prof': 'csv/crypto_settings.json', 'Forex Prof': 'csv/forex_settings.json', 'Jokes Prof': 'csv/jokes_settings.json', 'Clock 2 Prof': 'csv/clock2_settings.json',
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'Stocks Prof': 'csv/stocks_settings.json', 'Global Stocks Prof': 'csv/globalstocks_settings.json', 'Crypto Prof': 'csv/crypto_settings.json', 'Forex Prof': 'csv/forex_settings.json', 'Jokes Prof': 'csv/jokes_settings.json', 'Clock 2 Prof': 'csv/clock2_settings.json',
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'Current Weather Prof': 'csv/current_weather.json', 'News Prof':'csv/news_settings.json', 'Commodities Prof':'csv/commodities_settings.json', 'Indices Prof': 'csv/indices_settings.json',
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'Daily Forecast Prof':'csv/daily_weather.json', 'Sports (Team Stats) Prof': 'csv/league_tables.json', 'Sports (Upcoming Games) Prof': 'csv/upcoming_games.json', 'Sports (Past Games) Prof': 'csv/past_games.json', 'Custom Messages Prof': 'csv/message_settings.json', 'Custom Images Prof': 'csv/image_settings.json', 'Movies Prof': 'csv/movie_settings.json', 'Sports (Live Games) Prof': 'csv/live_games.json', 'IPO Calendar Prof': 'csv/ipo_settings.json', 'Economic Calendar Prof': 'csv/economic_settings.json',
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'Gainers, Losers, Active':'csv/market_settings.json', 'Gainers, Losers, Active Prof':'csv/market_settings.json', 'Sector Performance':'csv/sector_settings.json', 'Sector Performance Prof':'csv/sector_settings.json', 'Place (Reddit)':'csv/place_settings.json', 'Place (Reddit) Prof':'csv/place_settings.json'}
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@ -3901,6 +3901,216 @@ class StockTicker():
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return finalDisplayImage
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def getGlobalStockProfessional(self):
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self.blank = Image.new('RGB', (0, 16))
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f = open('csv/globalstocks_settings.json', 'r')
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all_stocks_settings = json.load(f)
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f.close()
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if all_stocks_settings['title']:
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title_img = self.openImage('feature_titles/small_feature_titles/globalstocks.png')
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image_list = [title_img, Image.new('RGB', (5, 16))]
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image_list.append(self.blank)
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else:
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image_list = []
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if all_stocks_settings['chart']:
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try:
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f = open('csv/portfolio_global_settings.json', 'r')
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portfolio_settings = json.load(f)['symbols']
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f.close()
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except:
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pass
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try:
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if all_stocks_settings['display_name']:
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names = True
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else:
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names = False
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except:
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names = False
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pass
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stock_info = all_stocks_settings['symbols']
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symbols = list(stock_info.keys())
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for i, symbol in enumerate(symbols):
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try:
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info = stock_info[symbol]
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change = float(info['change'])#TEXT
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if names:
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try:
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ticker = info['name'].upper() + 'display_name' #TEXT
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except:
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ticker = symbol
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else:
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ticker = symbol
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arrow, change = self.getArrow(change, professional=True)
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if all_stocks_settings["percent"]:
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change = '%.2f' % abs(float(info['percent_change'])) + '%'
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else:
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change = '%.2f' % abs(change)
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current = '%.2f' % float(info['current']) #TEXT
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midFrame = self.textToImageProf(ticker, current, change, arrow, font=ImageFont.load("./fonts/6x10.pil")) #IMAGE THE TEXT
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if all_stocks_settings['logos']:
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ticker = symbol
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try:
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logos_path = os.path.join(os.path.join(os.path.dirname(os.path.abspath(__file__)), 'logos'), 'global_stocks')
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logo = Image.open(os.path.join(logos_path, ticker + '.png'))
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# half the size of the logo
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width, height = logo.size
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logo = logo.resize((int(width/2), int(height/2)))
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stitchedStock = self.stitchImage([logo,midFrame])
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except Exception as e:
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stitchedStock = midFrame
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else:
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stitchedStock = midFrame
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try:
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if all_stocks_settings['lohivol']:
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font = ImageFont.load("./fonts/4x6.pil")
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try:
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day_low = '%.2f' % float(info['day_low'])
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day_high = '%.2f' % float(info['day_high'])
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volume = info['volume']
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daylow_img = self.textImage(day_low, font, r=0, g=255, b=0)
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daylow_t_img = self.textImage('Lo', font, r=255, g=255, b=255)
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dayhi_img = self.textImage(day_high, font, r=0,g=255,b=0)
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dayhi_t_img = self.textImage('Hi', font, r=255,g=255,b=255)
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vol_img = self.textImage(volume, font, r=0,g=255,b=0)
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vol_t_img = self.textImage('Vol', font, r=255,g=255,b=255)
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lohivol_img = Image.new('RGB', (max(daylow_t_img.size[0] + daylow_img.size[0], dayhi_t_img.size[0] + dayhi_img.size[0]) + 2+vol_t_img.size[0] + vol_img.size[0] + 8, 16))
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lohivol_img.paste(daylow_t_img, (0, 3))
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lohivol_img.paste(daylow_img, (daylow_t_img.size[0],3))
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lohivol_img.paste(dayhi_t_img, (0, 9))
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lohivol_img.paste(dayhi_img, (dayhi_t_img.size[0], 9))
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lohivol_img.paste(vol_t_img, (max(daylow_t_img.size[0] + daylow_img.size[0], dayhi_t_img.size[0] + dayhi_img.size[0])+2, 3))
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lohivol_img.paste(vol_img, (max(daylow_t_img.size[0] + daylow_img.size[0], dayhi_t_img.size[0] + dayhi_img.size[0]) + 2+vol_t_img.size[0], 3))
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except:
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pass
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except:
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pass
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try:
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if all_stocks_settings['chart'] and (symbol in portfolio_settings): #IF USER INPUTTED PORTFOLIO SETTINGS, DISPLAY PORTFOLIO INFO
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try:
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cost = portfolio_settings[symbol]['cost']
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day = portfolio_settings[symbol]['day']
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day_start = datetime.strptime(str(day), "%Y-%m-%d")
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day_today = datetime.strptime(datetime.now(pytz.utc).strftime("%Y-%m-%d"), "%Y-%m-%d")
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day = str((day_today - day_start).days)
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shares = portfolio_settings[symbol]['shares']
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original_value = float(cost) * float(shares)
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new_value = float(info['current']) * float(shares)
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value_day_change_percent = ((float(info['percent_change'])/100) * new_value)
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font = ImageFont.load("./fonts/5x8.pil")
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cost_img = self.textImage('Cost', font, r = 255, g = 255 , b = 255)
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cost2_img = self.textImage(cost, font, r = 0, g = 255, b = 0)
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shares_img = self.textImage('Shares', font, r = 255, g = 255 , b = 255)
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shares2_img = self.textImage(shares, font, r = 0, g = 255, b = 0)
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pnlchange = new_value - original_value
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pnlpercent = ((new_value - original_value) / original_value) * 100
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pnlpercent_img = self.textImage('P/L%', font, r = 255, g = 255 , b = 255)
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if pnlpercent >= 0:
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pnlpercent2_img = self.textImage(str('%.2f' % abs(pnlpercent)) + '%', font, r = 0, g = 255, b = 0)
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else:
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pnlpercent2_img = self.textImage(str('%.2f' % abs(pnlpercent)) + '%', font, r = 255, g = 0, b = 0)
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daypercent_img = self.textImage('Day%', font, r = 255, g = 255 , b = 255)
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if float(info['percent_change']) >= 0:
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daypercent2_img = self.textImage(str('%.2f' % abs(float(info['percent_change']))) +'%', font, r = 0, g = 255, b = 0)
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else:
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daypercent2_img = self.textImage(str('%.2f' % abs(float(info['percent_change'])))+'%', font, r = 255, g = 0, b = 0)
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days_img = self.textImage('Days', font, r = 255, g = 255 , b = 255)
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days2_img = self.textImage(day, font, r = 0, g = 255, b = 0)
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value_img = self.textImage('Value', font, r = 255, g = 255 , b = 255)
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value2_img = self.textImage(str('%.2f' % abs(original_value)), font, r = 0, g = 255, b = 0)
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pnlchange_img = self.textImage('P/L$', font, r = 255, g = 255 , b = 255)
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if pnlchange >= 0:
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pnlchange2_img = self.textImage(str('%.2f' % abs(pnlchange)), font, r = 0, g = 255, b = 0)
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else:
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pnlchange2_img = self.textImage(str('%.2f' % abs(pnlchange)), font, r = 255, g = 0, b = 0)
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daychange_img = self.textImage('Day$', font, r = 255, g = 255 , b = 255)
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if value_day_change_percent >= 0:
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daychange2_img = self.textImage(str('%.2f' % abs(value_day_change_percent)), font, r = 0, g = 255, b = 0)
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else:
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daychange2_img = self.textImage(str('%.2f' % abs(value_day_change_percent)), font, r = 255, g = 0, b = 0)
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x_offset = 0
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img = Image.new('RGB', (max(cost_img.size[0], cost2_img.size[0]) + 5 + max(days_img.size[0], days2_img.size[0]) + 5 +
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max(shares_img.size[0], shares2_img.size[0]) + 5 + max(value2_img.size[0], value_img.size[0]) + 5 +
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max(pnlpercent_img.size[0], pnlpercent2_img.size[0]) + 5 + max(pnlchange_img.size[0], pnlchange2_img.size[0]) + 5 +
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max(daypercent_img.size[0], daypercent2_img.size[0]) + 5 + max(daychange_img.size[0], daychange2_img.size[0]) + 10,16))
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img.paste(cost_img, (x_offset, 1))
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img.paste(cost2_img, (x_offset, 9))
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x_offset += max(cost_img.size[0], cost2_img.size[0]) + 4
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img.paste(days_img, (x_offset, 1))
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img.paste(days2_img, (x_offset, 9))
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x_offset += max(days_img.size[0], days2_img.size[0]) + 4
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img.paste(shares_img, (x_offset, 1))
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img.paste(shares2_img, (x_offset, 9))
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x_offset += max(shares_img.size[0], shares2_img.size[0]) + 4
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img.paste(value_img, (x_offset, 1))
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img.paste(value2_img, (x_offset, 9))
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x_offset += max(value2_img.size[0], value_img.size[0]) + 4
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img.paste(pnlpercent_img, (x_offset, 1))
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img.paste(pnlpercent2_img, (x_offset, 9))
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x_offset += max(pnlpercent_img.size[0], pnlpercent2_img.size[0]) + 4
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img.paste(pnlchange_img, (x_offset, 1))
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img.paste(pnlchange2_img, (x_offset, 9))
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x_offset += max(pnlchange_img.size[0], pnlchange2_img.size[0]) + 4
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img.paste(daypercent_img, (x_offset, 1))
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img.paste(daypercent2_img, (x_offset, 9))
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x_offset += max(daypercent_img.size[0], daypercent2_img.size[0]) + 4
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img.paste(daychange_img, (x_offset,1))
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img.paste(daychange2_img, (x_offset, 9))
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except:
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pass
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except:
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pass
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image_list.append(stitchedStock)
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try:
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if all_stocks_settings['lohivol']:
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try:
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image_list.append(lohivol_img)
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except:
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pass
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except:
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pass
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try:
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if all_stocks_settings['chart'] and (symbol in portfolio_settings):
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try:
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image_list.append(img)
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except:
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pass
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except:
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pass
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image_list.append(self.blank)
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except Exception as e:
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pass
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finalDisplayImage = self.stitchImage(image_list)
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self.blank = Image.new('RGB', (10, 32))
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return finalDisplayImage
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def getNewsImage(self):
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@ -10055,6 +10265,7 @@ class StockTicker():
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sector = self.getSectorProfessional()
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place = self.getPlaceImageProfessional()
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quotes = self.getQuotesProfessional()
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globalstocks = self.getGlobalStockProfessional()
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x_offset = 0
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news.paste(weather, (x_offset, 16))
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@ -10099,6 +10310,8 @@ class StockTicker():
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x_offset += place.size[0]
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news.paste(quotes, (x_offset, 16))
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x_offset += quotes.size[0]
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news.paste(globalstocks, (x_offset, 16))
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x_offset += globalstocks.size[0]
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self.double_buffer = self.matrix.CreateFrameCanvas()
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while True:
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kill = stock_ticker.scrollImage(news, offset_x = 128)
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