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)