async def get_stock_quote(ctx, ticker, price=None):
# Instantiating Stock class
stocks = Stock(ticker, price, FINN_API_KEY)
# Returning stock data
stock_quote = await stocks.get_stock_quote()
# Response when only a ticker is passed to the bot command
default_msg = (tabulate(
[["Current Price", "Open", "Previous Close", "High", "Low"],
[
stock_quote['currentPrice'], stock_quote['openPrice'],
stock_quote['prevClose'], stock_quote['highPrice'],
stock_quote['lowPrice']
]],
headers="firstrow"))
if price == None:
await ctx.send("Loading...")
await ctx.send(f'```{default_msg}```')
elif price == 'current':
await ctx.send("Current Price: " + stock_quote['currentPrice'])
elif price == 'open':
await ctx.send("Open Price: " + stock_quote['openPrice'])
elif price == 'close':
await ctx.send("Previous Close Price: " + stock_quote['prevClose'])
elif price == 'high':
await ctx.send("Today's High: " + stock_quote['highPrice'])
elif price == 'low':
await ctx.send("Today's Low: " + stock_quote['lowPrice'])
else:
await ctx.send(stock_quote)
def load_orders(self, path_orders, path_dividends, country):
print('Loading orders and dividends for {} wallet...'.format(country))
orders = pd.read_csv(path_orders, sep=';', index_col=0, header=0)
dividends = pd.read_csv(path_dividends, sep=';', index_col=0, header=0)
list_stocks = []
for ticker in orders.index.unique():
list_orders = []
for row in orders.loc[[ticker]].iterrows():
list_orders.append(
Order(row[1]['Date'], row[1]['Amount'], row[1]['Price'],
row[1]['Kind']))
list_dividends = []
if ticker in dividends.index:
for row in dividends.loc[[ticker]].iterrows():
list_dividends.append(
Dividend(row[1]['Date'], row[1]['Value'],
row[1]['Kind']))
list_stocks.append(Stock(ticker, list_orders, list_dividends))
return Wallet(list_stocks, country)
async def get_company_profile(ctx, ticker, price=None):
stocks = Stock(ticker, price, FINN_API_KEY)
company_profile = await stocks.get_company_profile_data()
# print(company_profile)
companyName = 'Company Name: ' + company_profile['Company_Name']
companyCountry = 'Country: ' + company_profile['Company_Country']
companyIPO = 'IPO: ' + company_profile['Company_IPO']
companyTicker = 'Ticker Symbol: ' + company_profile['Company_Ticker_Symbol']
companyWebsite = 'Website: ' + company_profile['Company_Website']
companyIndustry = 'Industry: ' + company_profile['Company_Industry']
companyLogo = company_profile['Company_Logo']
logo = Embed()
logo.set_image(url=companyLogo)
profile_msg = companyName + "\n" + companyCountry + "\n" + companyIPO + "\n" + companyTicker + "\n" + companyWebsite + "\n" + companyIndustry
await ctx.send(embed=logo)
await ctx.send(f'```{profile_msg}```')
def __init__(self, nbrStocks=10):
self.stocks = [Stock() for i in range(nbrStocks)]
from classes.stock import Stock
from classes.plot import Plot
#timeframes = [ "1d", "1m", "3m", "6m", "1y", "2y", "5y", "ytd", "20190301" ]
dates = ["20190304", "20190116"]
stocks = []
# for timeframe in timeframes:
for date in dates:
#stock = Stock( "MSFT", timeframe )
stock = Stock(symbol="MSFT", date=date)
stock.fetch_chart()
stocks.append(stock)
data_points = []
time_frame_idx = 0
for stock in stocks:
close_prices = stock.get_close_prices()
print("close_prices: " + str(close_prices))
xvals = list(range(0, len(close_prices)))
# xyvals = ( xvals,close_prices,timeframes[ time_frame_idx ] )
xyvals = (xvals, close_prices, dates[time_frame_idx])
data_points.append(xyvals)
time_frame_idx += 1
plot = Plot(rows=2, cols=4, plot_name="MSFT Stock Charts")
for xyvals in data_points:
if (plot.add_subplot(xyvals)):
plot.plot()
else:
print("In app.py, error occured")
class MainProgram:
"""
class docstring
"""
def __init__(self):
self.stock = Stock()
self.main()
def main(self):
"""
mathod docstring
"""
while True:
print("\n1 - see the stock")
print("2 - add to stock")
print("3 - remove from stock")
choice = input("> ")
if choice == "1":
self.stock.show_stock()
elif choice == "2":
self.stock.add_component()
elif choice == "3":
print("\n1 - remove processor")
print("2 - remove graphic card")
print("3 - remove hdd")
print("4 - remove RAM")
component = input("> ")
self.remove_from_stock(component)
else:
break
def remove_from_stock(self, component):
"""
mathod docstring
"""
if component == "1":
self.stock.remove_from_stock(self.stock.processor_stock)
elif component == "2":
self.stock.remove_from_stock(self.stock.graphic_card_stock)
elif component == "3":
self.stock.remove_from_stock(self.stock.hdd_stock)
elif component == "4":
self.stock.remove_from_stock(self.stock.ram_stock)
def __init__(self):
self.stock = Stock()
self.main()
f = FinanceAPI()
print(f)
# Check for API Key and load
if Path("financeAPI/Secret_Key.txt").is_file():
with open('financeAPI/Secret_Key.txt') as file:
key = file.read()
f.registerKey_(key)
else:
print("No file with API key found")
exit()
#f.start_stock_screener()
Square = Stock('SQ')
#PayPal = Stock('PYPL')
#CDProjekt = Stock('7CD')
#Visa = Stock('V')
#Mastercard = Stock('MA')
#Microsoft = Stock('MSFT')
# Read data from file if it exists:
#if Path("data/"+name_testdict+".json").is_file():
# with open("data/"+name_testdict+".json") as file:
# company_dict = json.load(file)
#else:
# company_dict = f.build_dict(name_testdict)
# with open("data/"+name_testdict+".json",'w') as file:
# # Serialize data into file:
# json.dump(company_dict, file)
from classes.stock import Stock
from classes.plot import Plot
#timeframes = [ "1d", "1m", "3m", "6m", "1y", "2y", "5y", "ytd", "20190301" ]
#dates = [ "20190304", "20190116" ]
dates = ["6m"]
stocks = []
# for timeframe in timeframes:
for date in dates:
#stock = Stock( "MSFT", timeframe )
# stock = Stock( symbol = "MSFT", date = date )
stock = Stock(symbol="MSFT", time_range=date, last_date="20190304")
stock.fetch_chart()
stocks.append(stock)
data_points = []
time_frame_idx = 0
for stock in stocks:
close_prices = stock.get_close_prices()
# print ( "close_prices: " + str(close_prices) )
xvals = list(range(0, len(close_prices)))
# xyvals = ( xvals,close_prices,timeframes[ time_frame_idx ] )
xyvals = (xvals, close_prices, dates[time_frame_idx])
data_points.append(xyvals)
time_frame_idx += 1
plot = Plot(rows=1, cols=1, plot_name="MSFT Stock Charts")
for xyvals in data_points:
if (plot.add_subplot(xyvals)):
plot.plot()
else: