zz 雅虎财经api

1.获取实时数据

http://finance.yahoo.com/d/quotes.csv?s=股票名称&f=数据列选项

s — 表示股票名称，多个股票之间使用英文加号分隔，如“XOM+BBDb.TO+JNJ+MSFT”，罗列了四个公司的股票：XOM, BBDb.TO, JNJ, MSFT。

f — 表示返回数据列，如“snd1l1yr”。更详细的参见附录

2.历史数据请求

http://ichart.yahoo.com/table.csv?s=string&a=int&b=int&c=int&d=int&e=int&f=int&g=d&ignore=.csv

s — 股票名称

a — 起始时间，月

b — 起始时间，日

c — 起始时间，年

d — 结束时间，月

e — 结束时间，日

f — 结束时间，年

g — 时间周期。

Ø  参数g的取值范围：d->‘日’(day), w->‘周’(week)，m->‘月’(mouth)，v->‘dividends only’

Ø  月份是从0开始的，如9月数据，则写为08。

示例

查询浦发银行2010.09.25 – 2010.10.8之间日线数据

http://ichart.yahoo.com/table.csv?s=600000.SS&a=08&b=25&c=2010&d=09&e=8&f=2010&g=d

查看国内沪深股市的股票，规则是：沪股代码末尾加.ss，深股代码末尾加.sz。如浦发银行的代号是：600000.SS

附录

雅虎股票API f参数对照表

a	Ask	a2	Average Daily Volume	a5	Ask Size
b	Bid	b2	Ask (Real-time)	b3	Bid (Real-time)
b4	Book Value	b6	Bid Size	c	Change & Percent Change
c1	Change	c3	Commission	c6	Change (Real-time)
c8	After Hours Change (Real-time)	d	Dividend/Share	d1	Last Trade Date
d2	Trade Date	e	Earnings/Share	e1	Error Indication (returned for symbol changed / invalid)
e7	EPS Estimate Current Year	e8	EPS Estimate Next Year	e9	EPS Estimate Next Quarter
f6	Float Shares	g	Day’s Low	h	Day’s High
j	52-week Low	k	52-week High	g1	Holdings Gain Percent
g3	Annualized Gain	g4	Holdings Gain	g5	Holdings Gain Percent (Real-time)
g6	Holdings Gain (Real-time)	i	More Info	i5	Order Book (Real-time)
j1	Market Capitalization	j3	Market Cap (Real-time)	j4	EBITDA
j5	Change From 52-week Low	j6	Percent Change From 52-week Low	k1	Last Trade (Real-time) With Time
k2	Change Percent (Real-time)	k3	Last Trade Size	k4	Change From 52-week High
k5	Percebt Change From 52-week High	l	Last Trade (With Time)	l1	Last Trade (Price Only)
l2	High Limit	l3	Low Limit	m	Day’s Range
m2	Day’s Range (Real-time)	m3	50-day Moving Average	m4	200-day Moving Average
m5	Change From 200-day Moving Average	m6	Percent Change From 200-day Moving Average	m7	Change From 50-day Moving Average
m8	Percent Change From 50-day Moving Average	n	Name	n4	Notes
o	Open	p	Previous Close	p1	Price Paid
p2	Change in Percent	p5	Price/Sales	p6	Price/Book
q	Ex-Dividend Date	r	P/E Ratio	r1	Dividend Pay Date
r2	P/E Ratio (Real-time)	r5	PEG Ratio	r6	Price/EPS Estimate Current Year
r7	Price/EPS Estimate Next Year	s	Symbol	s1	Shares Owned
s7	Short Ratio	t1	Last Trade Time	t6	Trade Links
t7	Ticker Trend	t8	1 yr Target Price	v	Volume
v1	Holdings Value	v7	Holdings Value (Real-time)	w	52-week Range
w1	Day’s Value Change	w4	Day’s Value Change (Real-time)	x	Stock Exchange

#!/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
      

查看沪市A股600887：

import ystockquote
print ystockquote.get_price('600887.SS')

和讯网股票查询接口
2011-01-26 12:38

最近想自己写个股票查询的小软件，网上找到了新浪的javascript接口，比较方便，但是新浪的接口没有把换手率等信息直接返回，刚好看到和讯网的接口有这个信息，所以记录下来。 查询接口例： http://bdcjhq.hexun.com/quote?s2=000001.sh,399001.sz,399300.sz,601186.sh 返回结果：

参考：

http://heipark.iteye.com/blog/1423812

http://0411.iteye.com/blog/1068239

http://www.goldb.org/ystockquote.html

http://hi.baidu.com/mryongzhang/blog/item/352bde597b862892800a1893.html