leftmouseclickin: Plot the technical data for a stock

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Welcome back, in this chapter we will continue to develop our stock and Forex application by plotting the technical data for any stock which has been selected from the stock symbol combo box. If you are really interested to develop your own Stock/Forex analysis application then alpha_vantage is probably your best choice, the data is great and the data returning speed is very fast plus one more, the API is completely free. Look no further than alpha vantage if you are a serious Forex or Stock application developer. I am not the affiliate of this program but just give you a suggestion.

As usual, we are going to create a button which will then call the plot method to retrieve and plot the technical data of that particular stock which has been selected through the combo box.

 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  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 / stock :", background="white") currency_label.pack(anchor="w") # the currency pair 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 stock_symbol = StringVar() # create a string variable stock = tk.Combobox(selectorFrame, textvariable=stock_symbol) stock['values'] = curr2 stock.current(0) stock.pack(side = LEFT, padx=3)  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) currency = Label(currencyFrame) currency.pack() text_widget = Text(currency, fg='white', background='black') text_widget.pack() 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)  # 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 symbol         if(stock_symbol_text!= ''):             ti = TechIndicators(key=api_key, output_format='pandas')             data, meta_data = ti.get_bbands(symbol=stock_symbol_text, interval='60min', time_period=60)             data.plot()             stock_title = 'BBbands indicator for ' + stock_symbol_text + ' (60 min)'             plt.title(stock_title)             plt.show()     except:         print("An exception occurred")  action_vid = tk.Button(buttonFrame, text="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)  win.iconbitmap(r'ico.ico') win.mainloop() 

If you run the above python code and click on the Plot Technical button with any stock symbol selected then you will see the below outcome.

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