CLI interface created and able to view the stock of a certain ticker

This commit is contained in:
didier
2020-12-20 18:58:58 +00:00
parent a9c8cda3e0
commit 61ce111ff7

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