In this chapter, we will create a method to plot the Chaikin AD line graph with the help from the alpha vantage module. The Accumulation Distribution Line (ADL) is used by Chaikin Oscillator to measure the movements of a stock.
We will include a button to call the plot ad method to plot the AD line graph.
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 :", 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)'] 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(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_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(): # plot the AD line 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) win.iconbitmap(r'ico.ico') win.mainloop()
Anticipating trend changes in the Accumulation Distribution Line can help chartists anticipate trend changes in the underlying security.
Let us take a look at the Chaikin AD line of one the stocks below within the time interval of 60 minutes.
Plotting the Chaikin AD line graph of a #stock with a #python application @chartly pic.twitter.com/BLleM87lGY
— TechLikin (@ChooWhei) March 18, 2019
I am thinking of putting this project online soon and this project will get updated weekly with the latest feature, so stay tune. Like, share or follow me on Twitter if you want more Forex and Stock programming tips.
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