leftmouseclickin: Plotting Absolute Price Oscillator (APO) Line with Python

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If you make a search on Google about APO Line, this is what you will see: Absolute Price Oscillator (APO) moving averages of a security’s price and is expressed as an absolute value. APO crossing above zero is considered bullish while crossing below zero is bearish.

This is the line we are going to plot with the help of the alpha vantage module. Below is the edit version of the Forex and Stock application. The new plot op method will plot the APO line after we have clicked on the Plot APO Line button. Just like the BBbands indicator line we can include various parameters in the get_apo method.

 import json from tkinter import * import tkinter.ttk as tk from alpha_vantage.foreignexchange import ForeignExchange from alpha_vantage.techindicators import TechIndicators from alpha_vantage.timeseries import TimeSeries import matplotlib.pyplot as plt from alpha_vantage.sectorperformance import SectorPerformances  win = Tk() # Create tk instance win.title("Real Forex n Stock") # Add a title win.resizable(0, 0) # Disable resizing the GUI win.configure(background='white') # change window background color  selectorFrame = Frame(win, background="white") # create the top frame to hold base and quote currency combobox selectorFrame.pack(anchor = "nw", pady = 2, padx=10) currency_label = Label(selectorFrame, text = "Select base currency / quote currency :", background="white") currency_label.pack(anchor="w") # the currency pair label  selector1Frame = Frame(win, background="white") # create the middle frame to hold base and quote currency combobox selector1Frame.pack(anchor = "nw", pady = 2, padx=10) stock_label = Label(selector1Frame, text = "Select Stock / Time Interval / Series type / Moving average type / Fast Period / Slow Period :", background="white") stock_label.pack(anchor="w") # the stock label  curr1 = tuple() # the tuple which will be populated by base and quote currency currency_list = ['AUD', 'BCH', 'BNB', 'BND', 'BTC', 'CAD', 'CHF', 'CNY', 'EOS', 'EUR', 'ETH', 'GBP', 'HKD', 'JPY', 'LTC', 'NZD', 'MYR', 'TRX', 'USD', 'USDT', 'XLM', 'XRP'] # major world currency pairs  # populate the combo box for both the base and quote currency for key in currency_list:     curr1 += (key, )  # populate the stock symbol tuple f = open("stock.txt", "r") curr2 = tuple() for line in f.readlines():     curr2 += (line.replace('\n', ''),) f.close()  # Create a combo box for base currency base_currency = StringVar() # create a string variable based = tk.Combobox(selectorFrame, textvariable=base_currency) based['values'] = curr1 based.pack(side = LEFT, padx=3)  # Create a combo box for quote currency quote_currency = StringVar() # create a string variable quote = tk.Combobox(selectorFrame, textvariable=quote_currency) quote['values'] = curr1 quote.pack(side = LEFT, padx=3)  # Create a combo box for stock items stock_symbol = StringVar() # create a string variable stock = tk.Combobox(selector1Frame, textvariable=stock_symbol) stock['values'] = curr2 stock.current(0) stock.pack(side = LEFT, padx=3)  interval = tk.Combobox(selector1Frame) interval['values'] = ('1min', '5min', '15min', '30min', '60min', 'daily', 'weekly', 'monthly') interval.current(0) interval.pack(side = LEFT, padx=3)  price_type = tk.Combobox(selector1Frame) price_type['values'] = ('close', 'open', 'high', 'low') price_type.current(0) price_type.pack(side =LEFT, padx=3)  matype_type = tk.Combobox(selector1Frame, width=37) matype_type['values'] = ('Simple Moving Average (SMA)', 'Exponential Moving Average (EMA)', 'Weighted Moving Average (WMA)', 'Double Exponential Moving Average (DEMA', 'Triple Exponential Moving Average (TEMA)', 'Triangular Moving Average (TRIMA', 'T3 Moving Average', 'Kaufman Adaptive Moving Average (KAMA)', ' MESA Adaptive Moving Average (MAMA)') matype_type.current(0) matype_type.pack(side =LEFT, padx=3) mattype_list = ['Simple Moving Average (SMA)', 'Exponential Moving Average (EMA)', 'Weighted Moving Average (WMA)', 'Double Exponential Moving Average (DEMA', 'Triple Exponential Moving Average (TEMA)', 'Triangular Moving Average (TRIMA', 'T3 Moving Average', 'Kaufman Adaptive Moving Average (KAMA)', ' MESA Adaptive Moving Average (MAMA)']  # fill up the fast period and slow period combo boxes with integer ranging from 2 to 10,000 fa = tuple() for i in range(2, 10001):     fa += (i, )  fast_pe = tk.Combobox(selector1Frame) fast_pe['values'] = fa fast_pe.current(0) fast_pe.pack(side=LEFT, padx=3)  slow_pe = tk.Combobox(selector1Frame) slow_pe['values'] = fa slow_pe.current(0) slow_pe.pack(side=LEFT, padx=3)  # create text widget area s = StringVar() # create string variable which will be used to fill up the Forex data # create currency frame and text widget to display the incoming forex data currencyFrame = Frame(win) currencyFrame.pack(side=TOP, fill=X) currency = Label(currencyFrame) currency.pack(fill=X) text_widget = Text(currency, fg='white', background='black') text_widget.pack(fill=X) s.set("Click the find button to find out the currency exchange rate") text_widget.insert(END, s.get())  buttonFrame = Frame(win) # create a bottom frame to hold the find button buttonFrame.pack(side = BOTTOM, fill=X, pady = 6, padx=10)  # first get the api key and secret from the file f = open("alpha.txt", "r") api_key = f.readline() f.close() api_key = api_key.replace('\n', '')  def get_exchange_rate(): # this method will display the incoming forex data after the api called      try:         cc = ForeignExchange(key= api_key)         from_ = based.get()         to_ = quote.get()          countVar = StringVar()  # use to hold the character count         text_widget.tag_remove("search", "1.0", "end")  # cleared the hightlighted currency pair          if(from_ != '' and to_ != '' and from_ != to_):             data, _ = cc.get_currency_exchange_rate(from_currency=from_, to_currency=to_)             exchange_rate = dict(json.loads(json.dumps(data)))             count = 1             sell_buy = str(count) + ".) Pair : " + exchange_rate['1. From_Currency Code'] + "(" + exchange_rate['2. From_Currency Name'] + ")" + " / " + exchange_rate['3. To_Currency Code']+"(" + exchange_rate['4. To_Currency Name'] + ") : "  + str(exchange_rate['5. Exchange Rate']) + '\n'             text_widget.delete('1.0', END)  # clear all those previous text first             s.set(sell_buy)             text_widget.insert(INSERT, s.get())  # display forex rate in text widget             pos = text_widget.search(from_, "1.0", stopindex="end", count=countVar)             text_widget.tag_configure("search", background="green")             end_pos = float(pos) + float(0.7)             text_widget.tag_add("search", pos, str(end_pos))  # highlight the background of the searched currency pair             pos = float(pos) + 2.0             text_widget.see(str(pos))      except:         print("An exception occurred")  def plot_stock_echange():      try:         stock_symbol_text = stock.get() # get the selected symbol         if(stock_symbol_text!= ''):             ts = TimeSeries(key=api_key, output_format='pandas')             data, meta_data = ts.get_intraday(symbol=stock_symbol_text, interval='1min', outputsize='full')             data['4. close'].plot()             stock_title = 'Intraday Times Series for the ' + stock_symbol_text + ' stock (1 min)'             plt.title(stock_title)             plt.show()     except:         print("An exception occurred")  def plot_stock_technical():      try:         stock_symbol_text = stock.get() # get the selected stock symbol         if(stock_symbol_text!= ''):              ti = TechIndicators(key=api_key, output_format='pandas')             data, meta_data = ti.get_bbands(symbol=stock_symbol_text, interval=interval.get(), series_type=price_type.get(), matype=mattype_list.index(matype_type.get()), time_period=int(interval.get().replace('min', '')))             data.plot()             stock_title = 'BBbands indicator for ' + stock_symbol_text + ' ' + interval.get()             plt.title(stock_title)             plt.show()     except:         print("An exception occurred")  def plot_op(): # plot the Absolute price oscillator (APO)      try:         stock_symbol_text = stock.get() # get the selected stock symbol         if(stock_symbol_text!= ''):              ti = TechIndicators(key=api_key, output_format='pandas')             data, meta_data = ti.get_apo(symbol=stock_symbol_text, interval=interval.get(), series_type=price_type.get(), matype=mattype_list.index(matype_type.get()), fastperiod = fast_pe.get(), slowperiod= slow_pe.get())             data.plot()             stock_title = 'Absolute Price Oscillator (APO) for ' + stock_symbol_text + ' ' + interval.get()             plt.title(stock_title)             plt.show()     except ValueError:         print("An exception occurred")  def plot_sector_performance():      sp = SectorPerformances(key=api_key, output_format='pandas')     data, meta_data = sp.get_sector()     data['Rank A: Real-Time Performance'].plot(kind='bar')     plt.title('Real Time Performance (%) per Sector')     plt.tight_layout()     plt.grid()     plt.show()  def plot_ad():      try:         stock_symbol_text = stock.get()  # get the selected stock symbol         if (stock_symbol_text != ''):             ti = TechIndicators(key=api_key, output_format='pandas')             data, meta_data = ti.get_ad(symbol=stock_symbol_text, interval=interval.get())             data.plot()             stock_title = 'Chaikin A/D line values for ' + stock_symbol_text + ' ' + interval.get()             plt.title(stock_title)             plt.show()     except:         print("An exception occurred")  action_vid = tk.Button(buttonFrame, text="Calculate Exchange Rate", command=get_exchange_rate) # button used to find out the exchange rate of currency pair action_vid.pack(side=LEFT, padx=2) action_stock_plot = tk.Button(buttonFrame, text="Plot Stock", command=plot_stock_echange) # button used to plot the intra-minute stock value action_stock_plot.pack(side=LEFT, padx=2) action_technical_plot = tk.Button(buttonFrame, text="Plot Technical", command=plot_stock_technical) # button used to plot the 60 minutes stock technical value action_technical_plot.pack(side=LEFT, padx=2) action_sector_plot = tk.Button(buttonFrame, text="Plot Sector Performance", command=plot_sector_performance) # button used to plot the sector performance graph action_sector_plot.pack(side=LEFT, padx=2) action_ad_plot = tk.Button(buttonFrame, text="Plot AD Line", command=plot_ad) # button used to plot the A/D line graph action_ad_plot.pack(side=LEFT, padx=2) action_ad_op = tk.Button(buttonFrame, text="Plot APO Line", command=plot_op) # button used to plot the APO line graph action_ad_op.pack(side=LEFT, padx=3)  win.iconbitmap(r'ico.ico') win.mainloop() 

If you run the above program and then click on the ‘Plot APO Line’ button you will see the below outcome.

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