股票API之----------雅虎财经频道

本文介绍Yahoo财经频道获取股票数据的API。可以通过此API获取实时数据。

实时数据请求

请求地址

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

参数

• 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。

示例

http://finance.yahoo.com/d/quotes.csv?s=XOM+BBDb.TO+JNJ+MSFT&f=snd1l1yr

返回：

"XOM","Exxon Mobil Corpo","10/7/2010",63.85,2.69,12.33
"BBD-B.TO","BOMBARDIER INC., ","10/7/2010",5.27,1.90,N/A
"JNJ","Johnson & Johnson","10/7/2010",63.22,3.26,13.06
"MSFT","Microsoft Corpora","10/7/2010",24.53,2.12,11.68

历史数据请求

上述是获取当前最新的数据，若需要获得历史数据，请使用下面API。

请求地址

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

参数

• 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。Example: g=w, 表示周期是‘周’。d->‘日’(day), w->‘周’(week)，m->‘月’(mouth)，v->‘dividends only’

一定注意月份参数，其值比真实数据-1。如需要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

返回：

Date,Open,High,Low,Close,Volume,Adj Close
2010-09-30,12.37,12.99,12.32,12.95,76420500,12.95
2010-09-29,12.20,12.69,12.12,12.48,79916400,12.48
2010-09-28,12.92,12.92,12.57,12.58,63988100,12.58
2010-09-27,13.00,13.02,12.89,12.94,43203600,12.94

深沪股票代码

yahoo的api是国际性的，是支持国内沪深股市的，但代码稍微变动一下，如浦发银行的代号是：600000.SS。规则是：上海市场末尾加.ss，深圳市场末尾加.sz。

—— EOF ——

参考

• http://code.google.com/p/yahoo-finance-managed/
• http://finance.yahoo.com/
• http://www.gummy-stuff.org/Yahoo-data.htm
• Python API Class http://www.goldb.org/ystockquote.html
• Ruby API Class http://www.transparentech.com/opensource/yahoofinance

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
y	Dividend Yield