（转）股票财经API笔记
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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
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。
???参数g的取值范围：d->‘日’(day), w->‘周’(week)，m->‘月’(mouth)，v->‘dividends only’
???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
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python获取yahoo财经信息工具类
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? ?ystockquote.py
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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 ?
? 使用工具类
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import ystockquoteprint ystockquote.get_price('600887.SS')?
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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
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返回结果：
?<html><head><meta?http-equiv="Content-Type"?content="text/html; charset=GBK"><script?type='text/javascript'>document.domain='hexun.com';</script></head><body></body><script>try{parent.bdcallback({"399001.sz":{na:"深证成指",pc:"11446.372",op:"11459.016",vo:"2193906",tu:"379028",hi:"11624.467",lo:"11459.016",la:"11558.021",type:"1",time:"2011-01-26 11:30:22"},"399300.sz":{na:"沪深300 ",pc:"2938.654",op:"2939.773",vo:"21205501",tu:"2559517",hi:"2971.763",lo:"2939.356",la:"2960.847",type:"1",time:"2011-01-26 11:31:07"},"601186.sh":{na:"中国铁建",pc:"7.22",op:"7.22",vo:"174035",tu:"12804",hi:"7.42",lo:"7.22",la:"7.39",type:"2",time:"2011-01-26 11:30:15",sy:"18.45",lt:"24.50",sz:"911.74",hs:"0.71",is:"0"},"tofnow":{time:"2011-01-26 11:37:51"}})}catch(e){}</script></html>?从返回的结果看，股票数据应该就是JSON串，因此解析就比较方便了。
各个字段的意义如下：
"601186.sh":????????? //股票代码
{
na:"中国铁建",?????? //股票中文名称
pc:"7.22",?????????? //昨收盘
op:"7.22",?????????? //今开盘
vo:"174035",???????? //成交量
tu:"12804",????????? //成交额
hi:"7.42",?????????? //最高价
lo:"7.22",?????????? //最低价
la:"7.39",?????????? //现价
type:"2",??????????? //类型，1：指数，2：股票？
time:"2011-01-26 11:30:15", //时间
sy:"18.45",????????? //市盈率= 现价/最近四个季度摊薄每股收益之和
lt:"24.50",????????? //流通股数（单位：亿股）
sz:"911.74",???????? //总市值（单位：亿）
hs:"0.71",?????????? //换手率
is:"0"???????????????// ？？暂时未知
}
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参考：
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http://0411.iteye.com/blog/1068239
http://www.goldb.org/ystockquote.html
http://hi.baidu.com/mryongzhang/blog/item/352bde597b862892800a1893.html
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--heipark
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