def fundamentals(tickers, begin="2020-05-26", end="2020-06-26",):
format_header = '{:>6} {:>6} {:>6} {:>6} {:>6} {:>6} {:>6} {:>6} {:>6} {:>6} {:>10} {:>10}'
format_numbers = '{:>6} {:>6} {:>6} {:>6} {:>6} {:>6} {:>6} {:>6} {:>6} {:>6} {:>10.2e} {:>10.2E}'
print(format_header.format('ticker', 'P/E', 'EARNSH', 'BK/PR', 'DY', 'DR', 'VAR', 'PEG', 'PS', 'PCI', 'VOLPR', 'CM',))
for ticker in tickers:
yf = YF(ticker)
try:
pe = get_number_for_None(get_number_for_None(yf.get_pe_ratio()))
prices = yf.get_historical_price_data(begin, end, "daily")[ticker]['prices']
stat_pr = calc_statistics(prices)
var_pr = get_number_for_None(100 * stat_pr[1] / stat_pr[0])
volume = get_number_for_None(stat_pr[4])
es = get_number_for_None(yf.get_earnings_per_share())
sh = get_number_for_None(yf.get_num_shares_outstanding(price_type='current'))
''' "pegRatio" "priceToBook" "heldPercentInstitutions" '''
statistics = yf.get_key_statistics_data()[ticker]
summary = yf.get_summary_data()[ticker]
peg = get_number_for_None(statistics["pegRatio"])
PCI = get_number_for_None(statistics["heldPercentInstitutions"])
bv = yf.get_key_statistics_data()[ticker]['bookValue']
pr = yf.get_current_price()
if pr is not None and bv is not None:
pr_bv = get_number_for_None(pr/bv)
else:
pr_bv = '-99.99'
f_s = yf.get_financial_stmts('annual', 'income')['incomeStatementHistory'][ticker][0]
f_s_key = list(f_s.keys())[0]
totalRevenue = f_s[f_s_key]['totalRevenue']
outstanding = statistics["sharesOutstanding"]
rev_per_share = totalRevenue / outstanding
if pr is not None and es is not None:
p_s = get_number_for_None(rev_per_share/float(es))
else:
p_s = '99'
dy = get_number_for_None(yf.get_dividend_yield())
dr = get_number_for_None(yf.get_dividend_rate())
volume10days = summary['averageVolume10days']
marketCap = summary['marketCap']
# float(volume)*pr
# float(sh)*pr)
print(format_numbers.format(ticker, pe, es, pr_bv, dy, dr, var_pr, peg, p_s, PCI, volume10days, marketCap))
except Exception as e:
print(ticker, e)
def getMarketData():
tickers = 'AAPL'
financials = YahooFinancials(tickers)
# company_stock_price = financials.get_stock_price_data() #gets stock price information
historical_stock_prices_data = financials.get_historical_price_data(
'2015-11-21', '2020-11-21',
'daily') #gets historical daily stock price of company
# get_Div_data(historical_stock_prices_data[tickers])
get_stock_price_data(historical_stock_prices_data[tickers])
# company_balance_sheet_data_qt = financials.get_financial_stmts('quarterly', 'balance') #get balance sheet
# company_income_statement_data_qt = financials.get_financial_stmts('quarterly', 'income') #get income statement
company_key_statistics_data = financials.get_key_statistics_data(
) #includes profit margins, forward eps, yearly change etc.
# get_forward_pe(company_key_statistics_data[tickers])
# get_trailing_eps(company_key_statistics_data[tickers])
# get_foward_eps(company_key_statistics_data[tickers])
# get_ytdReturn(company_key_statistics_data[tickers])
company_earnings_data = financials.get_stock_earnings_data(
) #historical eps only for 1 year span
# get_earnings_data(company_earnings_data[tickers])
company_dividend_yield = financials.get_dividend_yield(
) #current dividends yield
company_dividend = financials.get_dividend_rate() #current dividends rate
company_avg_div_yield_1year = financials.get_annual_avg_div_yield(
) #average 1 year div yield
company_avg_div_yield_5year = financials.get_five_yr_avg_div_yield(
) #average 5 year div yield
company_eps = financials.get_earnings_per_share() #current eps
company_pe = financials.get_pe_ratio() #current pe ratio
company_beta = financials.get_beta() #current beta
company_current_stock_price = financials.get_current_price(
) #current stock price
company_revenue = financials.get_total_revenue() #current company revenue
company_operating_income = financials.get_operating_income(
) #current company operating income
company_net_income = financials.get_net_income() #current net income
company_yearly_high = financials.get_yearly_high() #get yearly high
company_yearly_low = financials.get_yearly_low() #get yearly low
company_moving_50 = financials.get_50day_moving_avg(
) #50 day moving average of stock
company_moving_200 = financials.get_200day_moving_avg(
) #200 day moving average of stock
def defaultapi(ticker):
tick = YF(ticker)
print(tick.get_stock_summary_data())
print(mark)
print(tick.get_stock_quote_type_data())
print(mark)
print(tick.get_stock_price_data())
print(mark)
print(tick.get_current_price())
print(mark)
print(tick.get_dividend_rate())
try:
r = tick._cache.keys()
except AttributeError:
pass
else:
print(mark)
print(r)
