Plot the Aroon Up and the Aroon Down lines with Python

Our Own Score

In this chapter, we will continue to develop the ongoing Forex and Stock application with python. We will create a method used to plot the Aroon Up and the Aroon Down lines as well as to create a button to initiate that method.

The Aroon Up and the Aroon Down lines fluctuate between zero and 100, with values close to 100 indicating a strong trend and values near zero indicating a weak trend. The lower the Aroon Up, the weaker the uptrend and the stronger the downtrend, and vice versa.

Below is the modified version of the ongoing project.

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_adxr(): # plot the average directional movement index rating

    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_adxr(symbol=stock_symbol_text, interval=interval.get(), time_period=int(interval.get().replace('min', '')))
            data.plot()
            stock_title = 'Average directional movement index rating for ' + stock_symbol_text + ' at ' + interval.get()
            plt.title(stock_title)
            plt.show()
    except ValueError:
        print("An exception occurred")

def plot_adx(): # plot the average directional movement index

    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_adx(symbol=stock_symbol_text, interval=interval.get(), time_period=int(interval.get().replace('min', '')))
            data.plot()
            stock_title = 'Average directional movement index for ' + stock_symbol_text + ' at ' + interval.get()
            plt.title(stock_title)
            plt.show()
    except ValueError:
        print("An error 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")

def plot_aroon(): # plot the aroon values

    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_aroon(symbol=stock_symbol_text, interval=interval.get(), series_type=price_type.get(), time_period=int(interval.get().replace('min', '')))
            data.plot()
            stock_title = 'The Aroon Up and the Aroon Down lines for ' + stock_symbol_text + ' ' + interval.get()
            plt.title(stock_title)
            plt.show()
    except ValueError:
        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)
action_adxr = tk.Button(buttonFrame, text="Plot ADXR Line", command=plot_adxr) # button used to plot the average directional movement index rating
action_adxr.pack(side=LEFT, padx=3)
action_adx = tk.Button(buttonFrame, text="Plot ADX Line", command=plot_adx) # button used to plot the average directional movement index
action_adx.pack(side=LEFT, padx=3)
action_aroon = tk.Button(buttonFrame, text="Plot Aroon Line", command=plot_aroon) # button used to plot the aroon values
action_aroon.pack(side=LEFT, padx=3)

win.iconbitmap(r'ico.ico')
win.mainloop()

If you select a stock then click on the Plot Aroon Line button you will see this.

Like, share or follow me on Twitter!

0

Leave a Reply

avatar
  Subscribe  
Notify of