def test_get_previous_close_multiple(self):
symbols = ['GOOG', 'TSLA']
pcs = ystockquote.get_previous_close(symbols)
self.assertIsInstance(pcs, list)
for pc in pcs:
self.assertNotEqual(pc, 'N/A')
self.assertGreater(float(pc), 0)
def test_get_all_alignment_new(self):
""" Compare bulk 'all_info' values to individual values.
Currently broken due to misalignment from invalid CSV in
fields: f6, k3, and maybe j2, a5, b6.
"""
symbol = 'GOOG'
all_info = quote_properties.get_all(symbol)
self.assertIsInstance(all_info, dict)
self.assertEquals(
all_info['PreviousClose'],
ystockquote.get_previous_close(symbol))
self.assertEquals(
all_info['Volume'],
ystockquote.get_volume(symbol))
self.assertEquals(
all_info['BidRealtime'],
ystockquote.get_bid_realtime(symbol))
self.assertEquals(
all_info['AskRealtime'],
ystockquote.get_ask_realtime(symbol))
self.assertEquals(
all_info['LastTradePriceOnly'],
ystockquote.get_last_trade_price(symbol))
self.assertEquals(
all_info['Open'],
ystockquote.get_today_open(symbol))
self.assertEquals(
all_info['DaysHigh'],
ystockquote.get_todays_high(symbol))
self.assertEquals(
all_info['LastTradeDate'],
ystockquote.get_last_trade_date(symbol))
def test_get_all_alignment(self):
""" Compare bulk 'all_info' values to individual values.
Currently broken due to misalignment from invalid CSV in
fields: f6, k3, and maybe j2, a5, b6.
"""
symbol = 'GOOG'
all_info = ystockquote.get_all(symbol)
self.assertIsInstance(all_info, dict)
self.assertEquals(
all_info['previous_close'],
ystockquote.get_previous_close(symbol))
self.assertEquals(
all_info['volume'],
ystockquote.get_volume(symbol))
self.assertEquals(
all_info['bid_realtime'],
ystockquote.get_bid_realtime(symbol))
self.assertEquals(
all_info['ask_realtime'],
ystockquote.get_ask_realtime(symbol))
self.assertEquals(
all_info['last_trade_price'],
ystockquote.get_last_trade_price(symbol))
self.assertEquals(
all_info['today_open'],
ystockquote.get_today_open(symbol))
self.assertEquals(
all_info['todays_high'],
ystockquote.get_todays_high(symbol))
self.assertEquals(
all_info['last_trade_date'],
ystockquote.get_last_trade_date(symbol))
def get_shares_outstanding(df):
symbol_str = ''
for index, row in df.iterrows():
symbol_str += index
symbol_str += '+'
final_symbol_str = symbol_str[0:len(symbol_str) - 1]
shares_oustanding = ystockquote.get_shares_outstanding(final_symbol_str)
shares_float = ystockquote.get_float_shares(final_symbol_str)
# shares_oustanding = ystockquote.get_bid_realtime(final_symbol_str)
shares_price = ystockquote.get_previous_close(final_symbol_str)
df['shares_outstanding'] = map(float, shares_oustanding.encode('utf-8').split('\n'))
df['shares_float'] = map(float, shares_float.encode('utf-8').split('\n'))
df['price'] = map(float, shares_price.encode('utf-8').split('\n'))
calRatio(df)
print df
def get_price(symbol):
cur_price = ystockquote.get_previous_close(symbol)
if ('N/A' == cur_price):
return 0.1
else:
return cur_price
def get_price(symbol):
cur_price = ystockquote.get_previous_close(symbol)
if('N/A' == cur_price):
return 0.1
else:
return cur_price
def test_get_previous_close_single(self):
symbol = 'GOOG'
pc = ystockquote.get_previous_close(symbol)
self.assertNotEqual(pc, 'N/A')
self.assertGreater(float(pc), 0)
import sys;
import ystockquote;
name = raw_input('Enter name of stock')
price=ystockquote.get_price(name)
o=float(ystockquote.get_today_open(name))
h=float(ystockquote.get_todays_high(name))
l=float(ystockquote.get_todays_low(name))
c=float(ystockquote.get_previous_close(name))
p=(h+c+l)/3
r3=h+2*(p-l)
r1=2*p-l
s1=2*p-h
r2=p+(r1-s1)
s2=p-(r1-s1)
s3=l-2*(h-p)
print ('Current price of '+name+' is '+price)
print ('Resistances are:')
print (r1,r2,r3)
print ('Supports are:')
print (s1,s2,s3)
