#!/usr/bin/env python
#
# Copyright (c) 2007-2008, Corey Goldberg (corey@goldb.org)
#
# license: GNU LGPL
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# Made into class by Alexander Wallar on December 17, 2011
import urllib
class StockInfo:
"""
Constructor
"""
def __init__(self, __symbol):
self.symbol = __symbol
def __request(self, stat):
url = 'http://finance.yahoo.com/d/quotes.csv?s=%s&f=%s' % (self.symbol, stat)
return urllib.urlopen(url).read().strip().strip('"')
def get_all(self):
"""
Get all available quote data for the given ticker symbol.
Returns a dictionary.
"""
values = self.__request('l1c1va2xj1b4j4dyekjm3m4rr5p5p6s7').split(',')
data = {}
data['price'] = values[0]
data['change'] = values[1]
data['volume'] = values[2]
data['avg_daily_volume'] = values[3]
data['stock_exchange'] = values[4]
data['market_cap'] = values[5]
data['book_value'] = values[6]
data['ebitda'] = values[7]
data['dividend_per_share'] = values[8]
data['dividend_yield'] = values[9]
data['earnings_per_share'] = values[10]
data['52_week_high'] = values[11]
data['52_week_low'] = values[12]
data['50day_moving_avg'] = values[13]
data['200day_moving_avg'] = values[14]
data['price_earnings_ratio'] = values[15]
data['price_earnings_growth_ratio'] = values[16]
data['price_sales_ratio'] = values[17]
data['price_book_ratio'] = values[18]
data['short_ratio'] = values[19]
return data
get_price = lambda self: float(self.__request('l1'))
get_change = lambda self: float(self.__request('c1'))
get_volume = lambda self: float(self.__request('v'))
get_avg_daily_volume = lambda self: float(self.__request('a2'))
get_stock_exchange = lambda self: float(self.__request('x'))
get_market_cap = lambda self: float(self.__request('j1'))
get_book_value = lambda self: float(self.__request('b4'))
get_ebitda = lambda self: float(self.__request('j4'))
get_dividend_per_share = lambda self: float(self.__request('d'))
get_dividend_yield = lambda self: float(self.__request('y'))
get_earnings_per_share = lambda self: float(self.__request('e'))
get_52_week_high = lambda self: float(self.__request('k'))
get_52_week_low = lambda self: float(self.__request('j'))
get_50day_moving_avg = lambda self: float(self.__request('m3'))
get_200day_moving_avg = lambda self: float(self.__request('m4'))
get_price_earnings_ratio = lambda self: float(self.__request('r'))
get_price_earnings_growth_ratio = lambda self: float(self.__request('r5'))
get_price_sales_ratio = lambda self: float(self.__request('p5'))
get_price_book_ratio = lambda self: float(self.__request('p6'))
get_short_ratio = lambda self: float(self.__request('s7'))
def get_historical_prices(self, start_date, end_date):
"""
Get historical prices for the given ticker symbol.
Date format is 'YYYYMMDD'
Returns a nested list.
"""
url = 'http://ichart.yahoo.com/table.csv?s=%s&' % self.symbol + \
'd=%s&' % str(int(end_date[4:6]) - 1) + \
'e=%s&' % str(int(end_date[6:8])) + \
'f=%s&' % str(int(end_date[0:4])) + \
'g=d&' + \
'a=%s&' % str(int(start_date[4:6]) - 1) + \
'b=%s&' % str(int(start_date[6:8])) + \
'c=%s&' % str(int(start_date[0:4])) + \
'ignore=.csv'
days = urllib.urlopen(url).readlines()
data = [day[:-2].split(',') for day in days]
return data
Diff to Previous Revision
--- revision 2 2011-12-19 23:23:55
+++ revision 3 2012-08-25 17:16:47
@@ -29,7 +29,7 @@
Get all available quote data for the given ticker symbol.
Returns a dictionary.
"""
- values = self.__request(self.symbol, 'l1c1va2xj1b4j4dyekjm3m4rr5p5p6s7').split(',')
+ values = self.__request('l1c1va2xj1b4j4dyekjm3m4rr5p5p6s7').split(',')
data = {}
data['price'] = values[0]
data['change'] = values[1]
