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CLI interface created and able to view the stock of a certain ticker
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153
stock_market_bot.py
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153
stock_market_bot.py
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""" Example or something
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Is this not informative enough?
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"""
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from alpha_vantage.timeseries import TimeSeries
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import argparse
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import config_bot as cfg
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import pandas as pd
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from datetime import datetime
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import matplotlib
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import matplotlib.pyplot as plt
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from pandas.plotting import register_matplotlib_converters
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register_matplotlib_converters()
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def print_help():
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""" Print help
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"""
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print("What do you want to do?")
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print("view view a specific stock tick")
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print("help help to see this menu again")
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print("quit to abandon the program")
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def check_positive(value):
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ivalue = int(value)
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if ivalue <= 0:
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raise argparse.ArgumentTypeError(f"{value} is an invalid positive int value")
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return ivalue
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def valid_date(s):
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try:
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return datetime.strptime(s, "%Y-%m-%d")
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except ValueError:
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raise argparse.ArgumentTypeError("Not a valid date: {s}")
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def plot_dataframe(df, symbol):
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pfig, axVolume = plt.subplots()
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plt.bar(df.index, df['5. volume'].values, color='k')
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plt.ylabel('Volume')
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axPrice = axVolume.twinx()
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plt.plot(df.index, df.iloc[:, :-1])
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plt.title(symbol + ' (Time Series)')
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plt.xlim(df.index[0], df.index[-1])
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plt.xlabel('Time')
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plt.ylabel('Share Price ($)')
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plt.legend(df.columns)
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plt.grid(b=True, which='major', color='#666666', linestyle='-')
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plt.minorticks_on()
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plt.grid(b=True, which='minor', color='#999999', linestyle='-', alpha=0.2)
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plt.show()
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def main():
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""" Main function of the program
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"""
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# temporary
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#parser.add_argument('-a', action="store_true", default=False, help='example of flag')
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#parser.add_argument('-b', action="store", dest="b", help='example of string')
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#parser.add_argument('-c', action="store", dest="c", type=int, help='example of int')
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main_parser = argparse.ArgumentParser(prog='stock_market_bot', # program name
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# disable default help flag so that help can be an option
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add_help=False)
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# Add list of arguments that the main parser accepts
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main_parser.add_argument('cmd',
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choices=['quit', 'help', 'view'])
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# Print first welcome message and help
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print("\nWelcome to Didier's Stock Market Bot\n")
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print_help()
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print("\n")
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# Loop forever and ever
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while True:
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# Get input command from user
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as_input = input('> ')
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# Parse main command of the list of possible commands
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try:
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(ns_known_args, l_args) = main_parser.parse_known_args(as_input.split())
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except SystemExit:
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print("The command selected doesn't exist\n")
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continue
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# ---------------------------------------------------- VIEW ----------------------------------------------------
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if ns_known_args.cmd == 'view':
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parser = argparse.ArgumentParser(prog='view',
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description='Given a stock market ticker, allows to see historical data of \
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the corresponding stock. Note that the alpha_vantage key is necessary \
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for this to work!')
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parser.add_argument('-t', action="store", dest="ticker", required=True, help='Stock ticker')
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parser.add_argument('--type', action="store", dest="type", type=check_positive, default=4,
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help='1234 corresponds to types: 1. open; 2. high; 3.low; 4. close \
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while 14 corresponds to types: 1.open; 4. close')
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parser.add_argument("-s", "--start", type=valid_date, dest="start_date",
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help="The starting date (format YYYY-MM-DD) of the stock")
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try:
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(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
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except SystemExit:
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continue
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if l_unknown_args:
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print(f"The following args couldn't be interpreted: {l_unknown_args}")
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# Currently only supports daily stocks
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# TODO: Intra-daily
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ts = TimeSeries(key=cfg.API_KEY,
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output_format='pandas')
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try:
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df, meta_data = ts.get_daily(symbol=ns_parser.ticker,
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outputsize='full')
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except:
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print("Either the ticker or the API_KEY are invalids. Try again!")
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continue
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# Add function to plot data
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ln_col_idx = [int(x)-1 for x in list(str(ns_parser.type))]
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# Check that the types given are not bigger than 3, as there are only 4 types (0-3)
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if len([i for i in ln_col_idx if i > 3]) > 0:
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print("An index bigger than 3 was given, which is wrong. Try again")
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continue
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# Slice dataframe from the starting date YYYY-MM-DD selected
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if ns_parser.start_date:
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df = df[ns_parser.start_date:]
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ln_col_idx.append(4) # Append last column of df to be filtered which corresponds to: 5. Volume
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plot_dataframe(df.iloc[:, ln_col_idx], ns_parser.ticker)
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# ---------------------------------------------------- HELP ----------------------------------------------------
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elif ns_known_args.cmd == 'help':
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print_help()
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# ---------------------------------------------------- QUIT ----------------------------------------------------
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elif ns_known_args.cmd == 'quit':
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print("Hope you made money today. Good bye my lover, good bye my friend.\n")
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break
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else:
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print('Shouldnt see this command!')
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print("\n")
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if __name__ == "__main__":
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main()
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