def main():
""" Reads in a CSV file specifying the portfolio of stocks
and their respective ratios within the portfolio."""
stocks = {}
with open(STOCK_RATIO_FILE) as csvfile:
reader = csv.reader(csvfile, delimiter=',')
for row in reader:
ticker, fraction = row[0].strip(), float(row[1].strip())
stocks[ticker] = {}
share = Share(ticker)
scurr = share.get_currency()
if scurr != CURRENCY:
xchrate = float(Currency(scurr + CURRENCY).get_rate())
else:
xchrate = 1.0
price = float(share.get_price()) * xchrate
stocks[ticker]['price'] = price
stocks[ticker]['in_currency'] = CURRENCY
stocks[ticker]['target_ratio'] = fraction
stocks[ticker]['name'] = share.get_name()
stocks[ticker]['target_number'] = np.round(fraction * TOTAL_CASH /
price)
print(json.dumps(stocks, indent=2))
total_value = 0
for stock in stocks:
s = stocks[stock]
total_value += s['price'] * s['target_number']
print('Total Portfolio Value:')
print(total_value)
def getAllStockData(ticker):
'''Get a few random tickers.'''
stock = Share(ticker)
stock.refresh()
data = {
'name': stock.get_name(),
'price': stock.get_price(),
'change': stock.get_change(),
'volume': stock.get_volume(),
'prev_close': stock.get_prev_close(),
'open': stock.get_open(),
'avg_daily_volume': stock.get_avg_daily_volume(),
'stock_exchange': stock.get_stock_exchange,
'market_cap': stock.get_market_cap(),
'book_value': stock.get_book_value(),
'ebitda': stock.get_ebitda(),
'dividend_share': stock.get_dividend_share(),
'dividend_yield': stock.get_dividend_yield(),
'earnings_share': stock.get_earnings_share(),
'days_high': stock.get_days_high(),
'days_low': stock.get_days_low(),
'year_high': stock.get_year_high(),
'year_low': stock.get_year_low(),
'50day_moving_avg': stock.get_50day_moving_avg(),
'200day_moving_avg': stock.get_200day_moving_avg(),
'price_earnings_ratio': stock.get_price_earnings_ratio(),
'price_earnings_growth_ratio': stock.get_price_earnings_growth_ratio(),
'get_price_sales': stock.get_price_sales(),
'get_price_book': stock.get_price_book(),
'get_short_ratio': stock.get_short_ratio(),
'trade_datetime': stock.get_trade_datetime(),
'percent_change_from_year_high': stock.get_percent_change_from_year_high(),
'percent_change_from_year_low': stock.get_percent_change_from_year_low(),
'change_from_year_low': stock.get_change_from_year_low(),
'change_from_year_high': stock.get_change_from_year_high(),
'percent_change_from_200_day_moving_average': stock.get_percent_change_from_200_day_moving_average(),
'change_from_200_day_moving_average': stock.get_change_from_200_day_moving_average(),
'percent_change_from_50_day_moving_average': stock.get_percent_change_from_50_day_moving_average(),
'change_from_50_day_moving_average': stock.get_change_from_50_day_moving_average(),
'EPS_estimate_next_quarter': stock.get_EPS_estimate_next_quarter(),
'EPS_estimate_next_year': stock.get_EPS_estimate_next_year(),
'ex_dividend_date': stock.get_ex_dividend_date(),
'EPS_estimate_current_year': stock.get_EPS_estimate_current_year(),
'price_EPS_estimate_next_year': stock.get_price_EPS_estimate_next_year(),
'price_EPS_estimate_current_year': stock.get_price_EPS_estimate_current_year(),
'one_yr_target_price': stock.get_one_yr_target_price(),
'change_percent_change': stock.get_change_percent_change(),
'divended_pay_date': stock.get_dividend_pay_date(),
'currency': stock.get_currency(),
'last_trade_with_time': stock.get_last_trade_with_time(),
'days_range': stock.get_days_range(),
'years_range': stock.get_year_range()
}
return data
class StockAnalysis:
stock_symbol = 'YHOO'
stock_company_name = "Yahoo Inc,"
quote = Share(stock_symbol)
name = quote.get_name()
stock_company_name = name.split(". ")
def __init__(self,symbol):
self.stock_symbol = symbol
self.quote = Share(self.stock_symbol)
self.name = self.quote.get_name()
self.stock_company_name = self.name.split(". ")
def getStockSymbol(self):
return self.stock_symbol
def getStockPriceInfo(self,symbol):
stock_price = self.quote.get_price()
currency = self.quote.get_currency()
#name = self.quote.get_name()
#stock_company_name = name.split(". ")
price_info = {'Symbol':symbol,'Price':stock_price,'Currency':currency,'Name':self.stock_company_name[0]}
return price_info
def getDividendYieldInfo(self,symbol):
dividend_yield = self.quote.get_dividend_yield()
dividend_info = {'Symbol':symbol,'DividendYield':dividend_yield,'Unit':'%'}
return dividend_info
def getPayOurRatio(self,symbol):
dividend_per_share = self.quote.get_dividend_share()
EPS_current_year = self.quote.get_EPS_estimate_current_year()
pay_out_ratio = (float(dividend_per_share) / float(EPS_current_year))*100
pay_out_ratio = float("{0:.2f}".format(pay_out_ratio))
pay_out_info = {'Symbol':symbol,'PayOut Ratio':pay_out_ratio, "Unit":"%",'Name':self.stock_company_name[0]}
return pay_out_info
def getDeividendDetails(self,symbol):
dividend_per_share = self.quote.get_dividend_share()
EPS_current_year = self.quote.get_EPS_estimate_current_year()
dividend_yield = self.quote.get_dividend_yield()
hold_date = self.quote.get_ex_dividend_date()
payout_date = self.quote.get_dividend_pay_date()
if dividend_per_share is None:
dividend_per_share = "0"
dividend_yield = "0%"
payout_date = "None"
hold_date = "None"
pay_out_ratio = (float(dividend_per_share) / float(EPS_current_year))*100
pay_out_ratio = str(float("{0:.2f}".format(pay_out_ratio)))+"%"
dividend_info = {'Symbol':symbol, 'DividedPerShare':dividend_per_share, 'EPSCurrentYearEstimation': EPS_current_year, 'PayOutRatio':pay_out_ratio,'ExDividedDate':hold_date,'LastPayoutDate':payout_date,'DividendYield':dividend_yield,'Name':self.stock_company_name[0]}
return dividend_info
def getExDividedDate(self,symbol):
hold_date = self.quote.get_ex_dividend_date()
payout_date = self.quote.get_dividend_pay_date()
data = {'Symbol':symbol,'ExDividedDate':hold_date,'LastPayoutDate':payout_date,'Name':self.stock_company_name[0]}
return data
def isDividedRateHealthy(self):
pass
def getDividendDateDetails(self):
pass
def getNumberOfOutStandingShares(self,symbol):
total_market_cap = self.quote.get_market_cap()
current_price = self.quote.get_prev_close()
if "B" in total_market_cap:
total_market_cap = total_market_cap.rstrip("B")
total_market_cap = float(total_market_cap)*1000000000
elif "M" in total_market_cap:
total_market_cap = total_market_cap.rstrip("M")
total_market_cap = float(total_market_cap)*100000000
out_standing_shares = (total_market_cap/float(current_price))/1000000
out_standing_shares = round(out_standing_shares,2)
data = {'Symbol':symbol,'OutStandingShares':out_standing_shares,'Name':self.stock_company_name[0]}
return data
def get200DaysLowPrice(self,symbol):
pass
def get200DaysHighPrice(self,symbol):
pass
def get50DaysLowPrice(self,symbol):
pass
def get50DaysHighPrice(self,symbol):
pass
def getPERation(self):
pass
print "get_percent_change_from_year_low:", tesla.get_percent_change_from_year_low( ) print "get_change_from_year_low:", tesla.get_change_from_year_low() print "get_change_from_year_high:", tesla.get_change_from_year_high() print "get_percent_change_from_200_day_moving_average:", tesla.get_percent_change_from_200_day_moving_average( ) print "get_change_from_200_day_moving_average:", tesla.get_change_from_200_day_moving_average( ) print "get_percent_change_from_50_day_moving_average:", tesla.get_percent_change_from_50_day_moving_average( ) print "get_change_from_50_day_moving_average:", tesla.get_change_from_50_day_moving_average( ) print "get_EPS_estimate_next_quarter:", tesla.get_EPS_estimate_next_quarter() print "get_EPS_estimate_next_year:", tesla.get_EPS_estimate_next_year() print "get_ex_dividend_date:", tesla.get_ex_dividend_date() print "get_EPS_estimate_current_year:", tesla.get_EPS_estimate_current_year() print "get_price_EPS_estimate_next_year:", tesla.get_price_EPS_estimate_next_year( ) print "get_price_EPS_estimate_current_year:", tesla.get_price_EPS_estimate_current_year( ) print "get_one_yr_target_price:", tesla.get_one_yr_target_price() print "get_change_percent_change:", tesla.get_change_percent_change() print "get_dividend_pay_date:", tesla.get_dividend_pay_date() print "get_currency:", tesla.get_currency() print "get_last_trade_with_time:", tesla.get_last_trade_with_time() print "get_days_range:", tesla.get_days_range() print "get_year_range:", tesla.get_year_range() # http://stackoverflow.com/questions/24233385/pulling-yahoo-finance-data-using-python # http://chartapi.finance.yahoo.com/instrument/1.0/TSLA/chartdata;type=quote;range=1y/csv
#!/usr/bin/env python3
# Documentation at https://pypi.python.org/pypi/yahoo-finance
from yahoo_finance import Share
share_apple = Share("AAPL")
print(share_apple.get_name())
print(share_apple.get_price())
print(share_apple.get_trade_datetime())
print(share_apple.get_currency())
print(share_apple.get_200day_moving_avg())
share_apple.refresh()
print(share_apple.get_price())
print("---")
from yahoo_finance import Currency
btc_in_eur = Currency("BTCEUR")
print(btc_in_eur.get_rate())
print(btc_in_eur.get_trade_datetime())
btc_in_eur.refresh()
print(btc_in_eur.get_rate())
