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#!/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.
import urllib
"""
This is the "ystockquote" module.
This module provides a Python API for retrieving stock data from Yahoo Finance.
sample usage:
>>> import ystockquote
>>> print ystockquote.get_price('GOOG')
529.46
"""
def __request(symbol, stat):
url = 'http://finance.yahoo.com/d/quotes.csv?s=%s&f=%s' % (symbol, stat)
return urllib.urlopen(url).read().strip().strip('"')
def get_all(symbol):
"""
Get all available quote data for the given ticker symbol.
Returns a dictionary.
"""
values = __request(symbol, '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
def get_price(symbol):
return __request(symbol, 'l1')
def get_change(symbol):
return __request(symbol, 'c1')
def get_volume(symbol):
return __request(symbol, 'v')
def get_avg_daily_volume(symbol):
return __request(symbol, 'a2')
def get_stock_exchange(symbol):
return __request(symbol, 'x')
def get_market_cap(symbol):
return __request(symbol, 'j1')
def get_book_value(symbol):
return __request(symbol, 'b4')
def get_ebitda(symbol):
return __request(symbol, 'j4')
def get_dividend_per_share(symbol):
return __request(symbol, 'd')
def get_dividend_yield(symbol):
return __request(symbol, 'y')
def get_earnings_per_share(symbol):
return __request(symbol, 'e')
def get_52_week_high(symbol):
return __request(symbol, 'k')
def get_52_week_low(symbol):
return __request(symbol, 'j')
def get_50day_moving_avg(symbol):
return __request(symbol, 'm3')
def get_200day_moving_avg(symbol):
return __request(symbol, 'm4')
def get_price_earnings_ratio(symbol):
return __request(symbol, 'r')
def get_price_earnings_growth_ratio(symbol):
return __request(symbol, 'r5')
def get_price_sales_ratio(symbol):
return __request(symbol, 'p5')
def get_price_book_ratio(symbol):
return __request(symbol, 'p6')
def get_short_ratio(symbol):
return __request(symbol, 's7')
def get_historical_prices(symbol, 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&' % 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
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