def getStockPosition(code, market):
"""
处理股票盘口数据分析,分析所占的百分比率
http://qt.gtimg.cn/q=s_pksz000858
v_s_pksz000858="0.196~0.258~0.221~0.325";
以 ~ 分割字符串中内容，下标从0开始，依次为：
0: 买盘大单
1: 买盘小单
2: 卖盘大单
3: 卖盘小单
所占有的百分比百分比率
"""
if code and market:
url = "http://qt.gtimg.cn/q=s_pk%s%s" % (market, code)
content = httpGetContent(url)
if content:
result_list = _get_content(content)
if result_list:
stock_dict = {}
stock_dict["code"] = code
stock_dict["market"] = market
stock_dict["buy_big_percent"] = float(result_list[0]) # 买盘大单所占百分比
stock_dict["buy_small_percent"] = float(result_list[1]) # 买盘小单所占百分比
stock_dict["sell_big_percent"] = float(result_list[2]) # 卖盘大单所占比重
stock_dict["sell_small_percent"] = float(result_list[3]) # 买盘小单所占比重
stock_dict["date"] = datetime.date.today()
return stock_dict
def stock_day_history_Yahoo(code, market):
"""
雅虎股票数据接口
得到yahoo股票的历史数据信息
深市数据链接：http://table.finance.yahoo.com/table.csv?s=000001.sz
上市数据链接：http://table.finance.yahoo.com/table.csv?s=600000.ss
Date 日期
Open 开盘价格
High 最高价格
Low 最低价格
Close 结束价格
Volume 量
Adj Close 收盘加权价格
"""
if market not in ('sz', 'ss'):
return
url = "http://table.finance.yahoo.com/table.csv?s=%s.%s" % (code, market)
content = httpGetContent(url=url)
if content:
data = cStringIO.StringIO(content)
reader = csv.reader(data)
for i, row in enumerate(reader):
stock_dict = {}
if i == 0:
continue
stock_dict['date'] = row[0] # 日期
stock_dict['open'] = float(row[1]) # 开盘价格
stock_dict['high'] = float(row[2]) # 最高价格
stock_dict['low'] = float(row[3]) # 最低价格
stock_dict['close'] = float(row[4]) # 结束价格
stock_dict['volume'] = float(row[5]) # 量
stock_dict['adj_close'] = float(row[6]) # 几日收盘加权价格？
yield stock_dict
def stock_industry_day():
"""
根据同花顺得到板块数据分析
http://q.10jqka.com.cn/stock/thshy/
http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/1/quote/quote
"""
urls = (
'http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/1/quote/quote',
'http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/2/quote/quote')
for url in urls:
content = httpGetContent(url)
if content:
json_stock = json.loads(content)
industry_list = json_stock["data"]
for industry in industry_list:
industry_dict = {}
industry_dict["date"] = str_to_date(json_stock["rtime"][:10],
"%Y-%m-%d")
industry_dict["name"] = industry["platename"]
industry_dict["industry_code"] = industry["platecode"]
industry_dict["price"] = float(industry["zxj"]) # 最近价格
industry_dict["volume"] = float(industry["cjl"]) # 总成交量多少万手
industry_dict["total"] = float(industry["cje"]) # 总成交额多少亿元数据
industry_dict["rise_percent"] = float(industry["zdf"]) # 涨跌幅
industry_dict["rise_price"] = float(
industry["zde"]) # 涨跌额度（价格）
industry_dict["net_inflow"] = float(
industry["jlr"]) # 净流入（亿元数据）
yield industry_dict
def getStockPosition(code, market):
"""
处理股票盘口数据分析,分析所占的百分比率
http://qt.gtimg.cn/q=s_pksz000858
v_s_pksz000858="0.196~0.258~0.221~0.325";
以 ~ 分割字符串中内容，下标从0开始，依次为：
0: 买盘大单
1: 买盘小单
2: 卖盘大单
3: 卖盘小单
所占有的百分比百分比率
"""
if code and market:
url = "http://qt.gtimg.cn/q=s_pk%s%s" % (market, code)
content = httpGetContent(url)
if content:
result_list = _get_content(content)
if result_list:
stock_dict = {}
stock_dict["code"] = code
stock_dict["market"] = market
stock_dict["buy_big_percent"] = float(result_list[0]) # 买盘大单所占百分比
stock_dict["buy_small_percent"] = float(result_list[1]) # 买盘小单所占百分比
stock_dict["sell_big_percent"] = float(result_list[2]) # 卖盘大单所占比重
stock_dict["sell_small_percent"] = float(result_list[3]) # 买盘小单所占比重
stock_dict["date"] = datetime.date.today()
return stock_dict
def getStockMarket(code):
"""
大盘数据接口信息
上证：code:000001 set=zs
深证：code:399001 set=zs
中小板：code:399005 set=zs
创业板: code:399006 set=zs
http://q.stock.sohu.com/qp/hq?type=snapshot&code=000001&set=zs
"""
url = "http://q.stock.sohu.com/qp/hq?type=snapshot&code=%s&set=zs" % code
result = httpGetContent(url=url, charset="gbk")
if result:
result = eval(result)
stock_dict = {}
stock_dict["date"] = result[0][:10] #日期
stock_dict["name"] = unicode(result[2], 'utf8') #名称
stock_dict["range_price"] = float(result[4]) #上涨价格
stock_dict["range_percent"] = float(result[5].strip("%")) #涨幅
stock_dict["start"] = float(result[9]) #开盘价格
stock_dict["high"] = float(result[11]) #最高价格
stock_dict["low"] = float(result[13]) #最低价格
stock_dict["last_closing"] = float(result[7]) #昨日收
stock_dict["end"] = float(result[3]) #收盘价格
stock_dict["total_sum"] = int(result[18]) #多少万元
stock_dict["volume"] = int(result[14]) #多少手
return stock_dict
def stock_industry_day():
"""
根据同花顺得到板块数据分析
http://q.10jqka.com.cn/stock/thshy/
http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/1/quote/quote
"""
urls = ('http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/1/quote/quote',
'http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/2/quote/quote')
for url in urls:
content = httpGetContent(url)
if content:
json_stock = json.loads(content)
industry_list = json_stock["data"]
for industry in industry_list:
industry_dict = {}
industry_dict["date"] = str_to_date( json_stock["rtime"][:10],"%Y-%m-%d")
industry_dict["name"] = industry["platename"]
industry_dict["industry_code"] = industry["platecode"]
industry_dict["price"] = float(industry["zxj"]) # 最近价格
industry_dict["volume"] = float(industry["cjl"]) # 总成交量多少万手
industry_dict["total"] = float(industry["cje"]) # 总成交额多少亿元数据
industry_dict["rise_percent"] = float(industry["zdf"]) # 涨跌幅
industry_dict["rise_price"] = float(industry["zde"]) # 涨跌额度（价格）
industry_dict["net_inflow"] = float(industry["jlr"]) # 净流入（亿元数据）
yield industry_dict
def getStockMarket(code):
"""
大盘数据接口信息
上证：code:000001 set=zs
深证：code:399001 set=zs
中小板：code:399005 set=zs
创业板: code:399006 set=zs
http://q.stock.sohu.com/qp/hq?type=snapshot&code=000001&set=zs
"""
url = "http://q.stock.sohu.com/qp/hq?type=snapshot&code=%s&set=zs" % code
result = httpGetContent(url=url, charset="gbk")
if result:
result = eval(result)
stock_dict = {}
stock_dict["date"] = result[0][:10] #日期
stock_dict["name"] = unicode(result[2], 'utf8') #名称
stock_dict["range_price"] = float(result[4]) #上涨价格
stock_dict["range_percent"] = float(result[5].strip("%")) #涨幅
stock_dict["start"] = float(result[9]) #开盘价格
stock_dict["high"] = float(result[11]) #最高价格
stock_dict["low"] = float(result[13]) #最低价格
stock_dict["last_closing"] = float(result[7]) #昨日收
stock_dict["end"] = float(result[3]) #收盘价格
stock_dict["total_sum"] = int(result[18]) #多少万元
stock_dict["volume"] = int(result[14]) #多少手
return stock_dict
def stock_day_history_Yahoo(code, market):
"""
雅虎股票数据接口
得到yahoo股票的历史数据信息
深市数据链接：http://table.finance.yahoo.com/table.csv?s=000001.sz
上市数据链接：http://table.finance.yahoo.com/table.csv?s=600000.ss
Date 日期
Open 开盘价格
High 最高价格
Low 最低价格
Close 结束价格
Volume 量
Adj Close 收盘加权价格
"""
if market not in ('sz', 'ss'):
return
url = "http://table.finance.yahoo.com/table.csv?s=%s.%s" % (code, market)
content = httpGetContent(url=url)
if content:
data = cStringIO.StringIO(content)
reader = csv.reader(data)
for i, row in enumerate(reader):
stock_dict = {}
if i == 0:
continue
stock_dict['date'] = row[0] # 日期
stock_dict['open'] = float(row[1]) # 开盘价格
stock_dict['high'] = float(row[2]) # 最高价格
stock_dict['low'] = float(row[3]) # 最低价格
stock_dict['close'] = float(row[4]) # 结束价格
stock_dict['volume'] = float(row[5]) # 量
stock_dict['adj_close'] = float(row[6]) # 几日收盘加权价格？
yield stock_dict
def getStockMonthHistory(code, market, type=''):
"""
http://qd.10jqka.com.cn/api.php?p=stock_month&info=k_sz_000671&fq=
"""
url = "http://qd.10jqka.com.cn/api.php?p=stock_month&info=k_%s_%s&fq=%s" % (market, code, type)
content = httpGetContent(url)
if content:
pass
def getStockMonthHistory(code, market, type=''):
"""
http://qd.10jqka.com.cn/api.php?p=stock_month&info=k_sz_000671&fq=
"""
url = "http://qd.10jqka.com.cn/api.php?p=stock_month&info=k_%s_%s&fq=%s" % (market, code, type)
content = httpGetContent(url)
if content:
pass
def getStockWeekHistory(code, market, year='2012,2013', type=''):
"""
xhttp://qd.10jqka.com.cn/api.php?p=stock_week&info=k_sz_000005&year=2011,2012,2013&fq=
pass
"""
url = "http://qd.10jqka.com.cn/api.php?p=stock_week&info=k_%s_%s&year=%s&fq=%s" % (market, code, year, type )
content = httpGetContent(url, tonghuashun_headers)
if content:
return __convert_week(content)
def getStockWeekHistory(code, market, year='2012,2013', type=''):
"""
xhttp://qd.10jqka.com.cn/api.php?p=stock_week&info=k_sz_000005&year=2011,2012,2013&fq=
pass
"""
url = "http://qd.10jqka.com.cn/api.php?p=stock_week&info=k_%s_%s&year=%s&fq=%s" % (market, code, year, type )
content = httpGetContent(url, tonghuashun_headers)
if content:
return __convert_week(content)
def stock_industry():
"""
@注意该股票会包含部分st股票，但是实际选股票数据不会包含st股票数据
得到股票的板块历史数据信息
http://q.10jqka.com.cn/stock/thshy/
http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/1/quote/quote
"""
url = (
'http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/1/quote/quote',
'http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/2/quote/quote')
for u in url:
content = httpGetContent(u)
if content:
json_stock = json.loads(content)
industry_list = json_stock['data']
for industry in industry_list:
num = int(industry['num'])
industry_str = industry['hycode']
industry_dict = {}
industry_dict['industry_id'] = industry['platecode']
industry_dict['industry_str'] = industry_str
industry_dict['name'] = industry['platename']
industry_dict['num'] = num
#/用于处理判定数量的请求信息
if num / 50 >= 1:
url_no = [n for n in range(1, num / 50 + 2)]
elif num / 50 == 0 or num == 50:
url_no = [1]
industry_url_list = ['http://q.10jqka.com.cn/interface/stock/detail/zdf/desc/%s/1/%s' \
% (i, industry_str) for i in url_no]
code_list = []
for industry_url in industry_url_list:
industry_content = httpGetContent(industry_url)
if industry_content:
stock_dict = json.loads(industry_content)
stock_list = stock_dict['data']
for n in stock_list:
code_list.append(n['stockcode'])
industry_dict['stock'] = code_list
yield industry_dict
def getStock15MIN(code, market, type=''):
"""
15分钟数据接口
http://qd.10jqka.com.cn/api.php?p=stock_min15&info=k_sz_000005&fq=
"""
if market not in ('sz', 'sh'):
return
url = "http://qd.10jqka.com.cn/api.php?p=stock_min15&info=k_%s_%s&fq=%s" % (market, code, type)
content = httpGetContent(url=url)
if content:
return __convert_MIN(content)
def getStock15MIN(code, market, type=''):
"""
15分钟数据接口
http://qd.10jqka.com.cn/api.php?p=stock_min15&info=k_sz_000005&fq=
"""
if market not in ('sz', 'sh'):
return
url = "http://qd.10jqka.com.cn/api.php?p=stock_min15&info=k_%s_%s&fq=%s" % (market, code, type)
content = httpGetContent(url=url)
if content:
return __convert_MIN(content)
def getStockDayHistory(code, market, year='2013', type=''):
"""
http://qd.10jqka.com.cn/api.php?p=stock_day&info=k_sz_000005&year=2012,2013&fq=
sz:深证
sh:上海
return dict
"""
url = "http://qd.10jqka.com.cn/api.php?p=stock_day&info=k_%s_%s&year=%s&fq=%s" % (market, code, year, type)
content = httpGetContent(url=url)
if content:
return __convert_day(content)
def getStockDayHistory(code, market, year='2013', type=''):
"""
http://qd.10jqka.com.cn/api.php?p=stock_day&info=k_sz_000005&year=2012,2013&fq=
sz:深证
sh:上海
return dict
"""
url = "http://qd.10jqka.com.cn/api.php?p=stock_day&info=k_%s_%s&year=%s&fq=%s" % (market, code, year, type)
content = httpGetContent(url=url)
if content:
return __convert_day(content)
def stock_industry():
"""
@注意该股票会包含部分st股票，但是实际选股票数据不会包含st股票数据
得到股票的板块历史数据信息
http://q.10jqka.com.cn/stock/thshy/
http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/1/quote/quote
"""
url = ('http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/1/quote/quote',
'http://q.10jqka.com.cn/interface/stock/thshy/zdf/desc/2/quote/quote')
for u in url:
content = httpGetContent(u)
if content:
json_stock = json.loads(content)
industry_list = json_stock['data']
for industry in industry_list:
num = int(industry['num'])
industry_str = industry['hycode']
industry_dict = {}
industry_dict['industry_id'] = industry['platecode']
industry_dict['industry_str'] = industry_str
industry_dict['name'] = industry['platename']
industry_dict['num'] = num
#/用于处理判定数量的请求信息
if num / 50 >= 1:
url_no = [n for n in range(1, num / 50 + 2)]
elif num / 50 == 0 or num == 50:
url_no = [1]
industry_url_list = ['http://q.10jqka.com.cn/interface/stock/detail/zdf/desc/%s/1/%s' \
% (i, industry_str) for i in url_no]
code_list = []
for industry_url in industry_url_list:
industry_content = httpGetContent(industry_url)
if industry_content:
stock_dict = json.loads(industry_content)
stock_list = stock_dict['data']
for n in stock_list:
code_list.append(n['stockcode'])
industry_dict['stock'] = code_list
yield industry_dict
def stock_day_history_sina(stock_code, year, qr):
"""
stockcode:股票代码
market：市场
year：2013
qr：季度1，2，3，4格式
货的股票历史数据
返回数据格式
日期2013-03-29
开盘：10.030
最高：10.210
停盘：10.130
最低9.910
数据量131028760
价格：1315731584
API:http://money.finance.sina.com.cn/corp/go.php/vMS_MarketHistory/stockid/600000.phtml?year=2013&jidu=1
"""
#todo 没有复权价格
url = "http://money.finance.sina.com.cn/corp/go.php/vMS_MarketHistory/stockid/%s.phtml?year=%s&jidu=%s" \
% (stock_code, year, qr)
content = httpGetContent(url=url)
if content:
soap = BeautifulSoup(content)
table = soap.select('table#FundHoldSharesTable>tbody')
if table:
tr_list = table[0].select('tr')
for i, tr in enumerate(tr_list):
stock = {}
if i == 0 or i == 1:
continue
td_list = tr.select('td')
for j, td in enumerate(td_list):
if j == 0: #日期
stock['date'] = td.div.a.text
elif j == 1: #开盘价格
stock['start'] = float(td.div.text)
elif j == 2: #
stock['high'] = float(td.div.text)
elif j == 3:
stock['end'] = float(td.div.text)
elif j == 4:
stock['low'] = float(td.div.text)
elif j == 5:
stock['rate'] = int(round(int(td.div.text) / 100.0, 0))
elif j == 6:
stock['money'] = int(
round(int(td.div.text) / 10000.0, 0))
yield stock
def stock_day_history_sina(stock_code, year, qr):
"""
stockcode:股票代码
market：市场
year：2013
qr：季度1，2，3，4格式
货的股票历史数据
返回数据格式
日期2013-03-29
开盘：10.030
最高：10.210
停盘：10.130
最低9.910
数据量131028760
价格：1315731584
API:http://money.finance.sina.com.cn/corp/go.php/vMS_MarketHistory/stockid/600000.phtml?year=2013&jidu=1
"""
#todo 没有复权价格
url = "http://money.finance.sina.com.cn/corp/go.php/vMS_MarketHistory/stockid/%s.phtml?year=%s&jidu=%s" \
% (stock_code, year, qr)
content = httpGetContent(url=url)
if content:
soap = BeautifulSoup(content)
table = soap.select('table#FundHoldSharesTable>tbody')
if table:
tr_list = table[0].select('tr')
for i, tr in enumerate(tr_list):
stock = {}
if i == 0 or i == 1:
continue
td_list = tr.select('td')
for j, td in enumerate(td_list):
if j == 0: #日期
stock['date'] = td.div.a.text
elif j == 1: #开盘价格
stock['start'] = float(td.div.text)
elif j == 2: #
stock['high'] = float(td.div.text)
elif j == 3:
stock['end'] = float(td.div.text)
elif j == 4:
stock['low'] = float(td.div.text)
elif j == 5:
stock['rate'] = int(round(int(td.div.text) / 100.0, 0))
elif j == 6:
stock['money'] = int(round(int(td.div.text) / 10000.0, 0))
yield stock
def getStockCashFlow(code, market):
"""得到股票是资金流入流出
http://qt.gtimg.cn/q=ff_sz000858
v_ff_sz000858="sz000858~41773.67~48096.67~-6322.99~-5.53~10200.89~14351.02~-4150.13~-3.63~114422.25~53015.90~59770.57~五 粮 液~20121221";
以 ~ 分割字符串中内容，下标从0开始，依次为：
0: 代码
1: 主力流入
2: 主力流出
3: 主力净流入
4: 主力净流入/资金流入流出总和
5: 散户流入
6: 散户流出
7: 散户净流入
8: 散户净流入/资金流入流出总和
9: 资金流入流出总和1+2+5+6
10: 未知
11: 未知
12: 名字
13: 日期
"""
if code and market:
url = "http://qt.gtimg.cn/q=ff_%s%s" % (market, code)
content = httpGetContent(url)
if content:
result_list = _get_content(content)
if result_list:
stock_dict = {}
stock_dict["code"] = code
stock_dict["main_inflow"] = float(result_list[1]) # 主力流入
stock_dict["main_outflow"] = float(result_list[2]) # 主力流出
stock_dict["main_netflow"] = float(result_list[3]) # 主力净流入
stock_dict["small_inflow"] = float(result_list[5]) # 散户流入
stock_dict["small_outflow"] = float(result_list[6]) # 散户流出
stock_dict["small_netflow"] = float(result_list[7]) # 散户净流入
income = stock_dict["main_inflow"] + stock_dict["small_inflow"]
outcome = stock_dict["main_outflow"] + stock_dict[
"main_outflow"]
print income
print outcome
print income - outcome
stock_dict["unknown_1"] = float(result_list[10])
stock_dict["unknwon_2"] = float(result_list[11])
stock_dict["date"] = result_list[13] # 日期
return stock_dict
def stock_base_info(code):
"""
得到股票其他的基础数据信息
包含：
pe_trands 市盈率（动态）：47.98
type 分类 ：big（大盘股）medium （中盘股）small（小盘股）
pe_static 市盈率（静态）：8.61
total_capital 总股本 44.7亿股
ciculate_capital 流通股本 44.7亿股
pb 市净率 1.24
"""
url = "http://basic.10jqka.com.cn/%s/" % code
content = httpGetContent(url)
if content:
stock_dict = {}
soup = BeautifulSoup(content)
profile = soup.select('div#profile')
table = profile[0].select('table')[1]
td_list = table.select('td')
td_select = lambda td: td.select('span')[1].text
# regex = re.compile(r'^([0-9]{1,}[.][0-9]*|-[0-9]{1,}[.][0-9]*|\d+|-\d+)')
# find = lambda value: float(re.findall(regex, value)[0]) if re.findall(regex, value) else None
stock_dict["code"] = code
for i, td in enumerate(td_list):
if i == 0: # 市盈率(动态)：
stock_dict["pe_ratio_dynamic"] = validate_decimal(
td_select(td))
elif i == 3: # 分类
text = td_select(td)
if text == u"大盘股":
stock_dict['type'] = 'big'
elif text == u'中盘股':
stock_dict['type'] = 'medium'
elif text == u"小盘股":
stock_dict['type'] = 'small'
else:
stock_dict['type'] = text
elif i == 4: # 市盈率(静态)
stock_dict['pe_ratio_static'] = validate_decimal(td_select(td))
elif i == 7: # 总股本
stock_dict['total_capital'] = validate_decimal(td_select(td))
elif i == 8: # 市净率
stock_dict['pb'] = validate_decimal(td_select(td))
elif i == 11: # 流通股本
stock_dict['circulate_capital'] = validate_decimal(
td_select(td))
return stock_dict
def getStockCashFlow(code, market):
"""得到股票是资金流入流出
http://qt.gtimg.cn/q=ff_sz000858
v_ff_sz000858="sz000858~41773.67~48096.67~-6322.99~-5.53~10200.89~14351.02~-4150.13~-3.63~114422.25~53015.90~59770.57~五 粮 液~20121221";
以 ~ 分割字符串中内容，下标从0开始，依次为：
0: 代码
1: 主力流入
2: 主力流出
3: 主力净流入
4: 主力净流入/资金流入流出总和
5: 散户流入
6: 散户流出
7: 散户净流入
8: 散户净流入/资金流入流出总和
9: 资金流入流出总和1+2+5+6
10: 未知
11: 未知
12: 名字
13: 日期
"""
if code and market:
url = "http://qt.gtimg.cn/q=ff_%s%s" % (market, code)
content = httpGetContent(url)
if content:
result_list = _get_content(content)
if result_list:
stock_dict = {}
stock_dict["code"] = code
stock_dict["main_inflow"] = float(result_list[1]) # 主力流入
stock_dict["main_outflow"] = float(result_list[2]) # 主力流出
stock_dict["main_netflow"] = float(result_list[3]) # 主力净流入
stock_dict["small_inflow"] = float(result_list[5]) # 散户流入
stock_dict["small_outflow"] = float(result_list[6]) # 散户流出
stock_dict["small_netflow"] = float(result_list[7]) # 散户净流入
income = stock_dict["main_inflow"] + stock_dict["small_inflow"]
outcome = stock_dict["main_outflow"] + stock_dict["main_outflow"]
print income
print outcome
print income - outcome
stock_dict["unknown_1"] = float(result_list[10])
stock_dict["unknwon_2"] = float(result_list[11])
stock_dict["date"] = result_list[13] # 日期
return stock_dict
def stock_finical_quarter(code):
"""
通过同花顺行业数据得到数据报告信息。
指标\日期 基本每股收益 摊薄每股收益 每股净资产 每股现金流 每股未分配利润 每股公积金 主营收入 利润总额 净利润 净资产收益率 销售毛利率 主营收入同比增长率 净利润同比增长率
2013-3-31 0.04 0.04 5.33 -0.68 2.66 1.37 425230.9 37821.37 18722.95 0.79 26.43 143.93 19.68
http://basic.10jqka.com.cn/600383/xls/Important_declaredate.xls"
"""
url = "http://basic.10jqka.com.cn/%s/xls/Important_declaredate.xls" % (
code)
content = httpGetContent(url)
stock_dict = {}
if content:
content = content.decode('gb2312').encode('utf8')
data = cStringIO.StringIO(content)
for i, line in enumerate(data):
if i == 1:
item = line.strip('\n').split('\t')
date = str_to_date(item[0], "%Y-%m-%d") # 日期
earnings = decimal(item[2]) # 摊薄每股收益（数据相对准确）不以基本每股收益为准 0.04
net_asset_value = decimal(item[3]) # 每股净资产 5.33
cash_flow = decimal(item[4]) # 每股现金流 -0.86
profit_per_share = decimal(item[5]) # 每股未分配利润
capital_fund = decimal(item[6]) # 每股公积金
main_income = decimal(item[7]) # 主营业收入
total_profit = decimal(item[8]) # 利润总额
total_net_profit = decimal(item[9]) # 净利润
return_on_asserts = decimal(item[10]) # 净资产收益率 0.79%
income_rise = decimal(item[12]) # 主营业收入同比增长率 143.93%
net_profit_rise = decimal(item[13]) # 净利润同比增长率 19.68%
stock_dict = {
"code": code,
"date": date,
"earnings": earnings,
"net_asset_value": net_asset_value,
"cash_flow": cash_flow,
"return_on_asserts": return_on_asserts,
"income_rise": income_rise,
"net_profit_rise": net_profit_rise,
"profit_per_share": profit_per_share,
"capital_fund": capital_fund,
"main_income": main_income,
"total_profit": total_profit,
"total_net_profit": total_net_profit
}
break
return stock_dict
def stock_base_info(code):
"""
得到股票其他的基础数据信息
包含：
pe_trands 市盈率（动态）：47.98
type 分类 ：big（大盘股）medium （中盘股）small（小盘股）
pe_static 市盈率（静态）：8.61
total_capital 总股本 44.7亿股
ciculate_capital 流通股本 44.7亿股
pb 市净率 1.24
"""
url = "http://basic.10jqka.com.cn/%s/" % code
content = httpGetContent(url)
if content:
stock_dict = {}
soup = BeautifulSoup(content)
profile = soup.select('div#profile')
table = profile[0].select('table')[1]
td_list = table.select('td')
td_select = lambda td: td.select('span')[1].text
# regex = re.compile(r'^([0-9]{1,}[.][0-9]*|-[0-9]{1,}[.][0-9]*|\d+|-\d+)')
# find = lambda value: float(re.findall(regex, value)[0]) if re.findall(regex, value) else None
stock_dict["code"] = code
for i, td in enumerate(td_list):
if i == 0: # 市盈率(动态)：
stock_dict["pe_ratio_dynamic"] = validate_decimal(td_select(td))
elif i == 3: # 分类
text = td_select(td)
if text == u"大盘股":
stock_dict['type'] = 'big'
elif text == u'中盘股':
stock_dict['type'] = 'medium'
elif text == u"小盘股":
stock_dict['type'] = 'small'
else:
stock_dict['type'] = text
elif i == 4: # 市盈率(静态)
stock_dict['pe_ratio_static'] = validate_decimal(td_select(td))
elif i == 7: # 总股本
stock_dict['total_capital'] = validate_decimal(td_select(td))
elif i == 8: # 市净率
stock_dict['pb'] = validate_decimal(td_select(td))
elif i == 11: # 流通股本
stock_dict['circulate_capital'] = validate_decimal(td_select(td))
return stock_dict
def stock_finical_quarter(code):
"""
通过同花顺行业数据得到数据报告信息。
指标\日期 基本每股收益 摊薄每股收益 每股净资产 每股现金流 每股未分配利润 每股公积金 主营收入 利润总额 净利润 净资产收益率 销售毛利率 主营收入同比增长率 净利润同比增长率
2013-3-31 0.04 0.04 5.33 -0.68 2.66 1.37 425230.9 37821.37 18722.95 0.79 26.43 143.93 19.68
http://basic.10jqka.com.cn/600383/xls/Important_declaredate.xls"
"""
url = "http://basic.10jqka.com.cn/%s/xls/Important_declaredate.xls" % (code)
content = httpGetContent(url)
stock_dict = {}
if content:
content = content.decode('gb2312').encode('utf8')
data = cStringIO.StringIO(content)
for i, line in enumerate(data):
if i == 1:
item = line.strip('\n').split('\t')
date = str_to_date(item[0], "%Y-%m-%d") # 日期
earnings = decimal(item[2]) # 摊薄每股收益（数据相对准确）不以基本每股收益为准 0.04
net_asset_value = decimal(item[3]) # 每股净资产 5.33
cash_flow = decimal(item[4]) # 每股现金流 -0.86
profit_per_share = decimal(item[5]) # 每股未分配利润
capital_fund = decimal(item[6]) # 每股公积金
main_income = decimal(item[7]) # 主营业收入
total_profit = decimal(item[8]) # 利润总额
total_net_profit = decimal(item[9]) # 净利润
return_on_asserts = decimal(item[10]) # 净资产收益率 0.79%
income_rise = decimal(item[12]) # 主营业收入同比增长率 143.93%
net_profit_rise = decimal(item[13]) # 净利润同比增长率 19.68%
stock_dict = {
"code": code,
"date": date,
"earnings": earnings,
"net_asset_value": net_asset_value,
"cash_flow": cash_flow,
"return_on_asserts": return_on_asserts,
"income_rise": income_rise,
"net_profit_rise": net_profit_rise,
"profit_per_share": profit_per_share,
"capital_fund": capital_fund,
"main_income": main_income,
"total_profit": total_profit,
"total_net_profit": total_net_profit
}
break
return stock_dict
def getStock60MIN(code, market, type=''):
"""
不推荐向后复权
得到股票60分钟数据线
API接口数据
http://qd.10jqka.com.cn/api.php?p=stock_min60&info=k_sz_000005&fq=q
q是向前复权
b事项后复权
q= 空是不复权
"""
if market not in ('sz', 'sh'):
return
url = "http://qd.10jqka.com.cn/api.php?p=stock_min60&info=k_%s_%s&fq=%s" % (market, code, type)
content = httpGetContent(url=url)
if content:
return __convert_MIN(content)
def getStock60MIN(code, market, type=''):
"""
不推荐向后复权
得到股票60分钟数据线
API接口数据
http://qd.10jqka.com.cn/api.php?p=stock_min60&info=k_sz_000005&fq=q
q是向前复权
b事项后复权
q= 空是不复权
"""
if market not in ('sz', 'sh'):
return
url = "http://qd.10jqka.com.cn/api.php?p=stock_min60&info=k_%s_%s&fq=%s" % (market, code, type)
content = httpGetContent(url=url)
if content:
return __convert_MIN(content)
def getStockCurrentDay(code, Market):
'''
获取股票当日数据
腾讯API
API地址：http://qt.gtimg.cn/q=sh600383
sh:上海
sz:深圳
返回当天成交数据
code:股票代码
market：股票市场
数据返回@return dict
'''
if code and Market:
url = 'http://qt.gtimg.cn/q=%s%s' % (Market, code)
headers = {'Content-type': 'application/x-javascript; charset=GBK'}
result = httpGetContent(url=url, headers=headers, charset='gbk')
if result:
stocklist = _get_content(result)
if stocklist:
stockdict = {}
stockdict['code'] = code # 股票代码
stockdict['name'] = unicode(stocklist[1], 'utf8') # 股票名称
stockdict['last_closing'] = float(stocklist[4]) # 昨日收盘价格
stockdict['start'] = float(stocklist[5]) # 开盘价格
stockdict['end'] = float(stocklist[3]) # 当前收盘价格（可以是当前价格）
stockdict['high'] = float(stocklist[33]) # 最高价格
stockdict['low'] = float(stocklist[34]) # 最低价格
stockdict['buyvol'] = int(stocklist[7]) # 外盘 todo 数据对不上
stockdict["sellvol"] = int(stocklist[8]) # 内盘 todo 数据对不上
stockdict['range_price'] = float(stocklist[31]) # 涨跌价格
stockdict['range_percent'] = float(stocklist[32]) # 涨跌比%
stockdict['volume'] = int(stocklist[6]) # 成交量（手）
stockdict['total_price'] = int(stocklist[37]) # 成交额（万元）
stockdict['change_rate'] = decimal(stocklist[38]) # 换手率
stockdict['pe'] = decimal(stocklist[39]) # 市盈率
stockdict['swing'] = float(stocklist[43]) # 振幅
stockdict['pb'] = float(stocklist[46]) # 股票市净率
stockdict['date'] = stocklist[30][:8] # 时间
stockdict[
"block"] = False if stockdict["start"] else True #股票是否停牌
return stockdict
def getStockCurrentDay(code, Market):
'''
获取股票当日数据
腾讯API
API地址：http://qt.gtimg.cn/q=sh600383
sh:上海
sz:深圳
返回当天成交数据
code:股票代码
market：股票市场
数据返回@return dict
'''
if code and Market:
url = 'http://qt.gtimg.cn/q=%s%s' % (Market, code)
headers = {'Content-type': 'application/x-javascript; charset=GBK'}
result = httpGetContent(url=url, headers=headers, charset='gbk')
if result:
stocklist = _get_content(result)
if stocklist:
stockdict = {}
stockdict['code'] = code # 股票代码
stockdict['name'] = unicode(stocklist[1], 'utf8') # 股票名称
stockdict['last_closing'] = float(stocklist[4]) # 昨日收盘价格
stockdict['start'] = float(stocklist[5]) # 开盘价格
stockdict['end'] = float(stocklist[3]) # 当前收盘价格（可以是当前价格）
stockdict['high'] = float(stocklist[33]) # 最高价格
stockdict['low'] = float(stocklist[34]) # 最低价格
stockdict['buyvol'] = int(stocklist[7]) # 外盘 todo 数据对不上
stockdict["sellvol"] = int(stocklist[8]) # 内盘 todo 数据对不上
stockdict['range_price'] = float(stocklist[31]) # 涨跌价格
stockdict['range_percent'] = float(stocklist[32]) # 涨跌比%
stockdict['volume'] = int(stocklist[6]) # 成交量（手）
stockdict['total_price'] = int(stocklist[37]) # 成交额（万元）
stockdict['change_rate'] = decimal(stocklist[38]) # 换手率
stockdict['pe'] = decimal(stocklist[39]) # 市盈率
stockdict['swing'] = float(stocklist[43]) # 振幅
stockdict['pb'] = float(stocklist[46]) # 股票市净率
stockdict['date'] = stocklist[30][:8] # 时间
stockdict["block"] = False if stockdict["start"] else True #股票是否停牌
return stockdict
def stock_finical_post():
"""抓取同花顺业绩公告板块
http://data.10jqka.com.cn/financial/yjgg/
http://data.10jqka.com.cn/financial/yjgg/page/56/ajax/1/
"""
headers = {
"Host": "data.10jqka.com.cn",
"Referer": "http://data.10jqka.com.cn/financial/yjyg/",
"X-Requested-With": "XMLHttpRequest"
}
count = range(1, 60)
urls = [
"http://data.10jqka.com.cn/financial/yjgg/page/%s/ajax/1/" % num
for num in count
]
for url in urls:
content = httpGetContent(url, headers, "gb2312")
if content:
soup = BeautifulSoup(content)
stock_item = soup.select("tbody > tr")
for item in stock_item:
tds = item.select('td')
stock_dict = {}
for i, td in enumerate(tds):
if i == 1: # 代码
stock_dict["code"] = td.select('a')[0].string
elif i == 3: # 日期
stock_dict["date"] = str_to_date(td.string, "%Y-%m-%d")
elif i == 4: # 每股收益
stock_dict["earnings"] = decimal(td.string)
elif i == 5: # 营业收入
stock_dict["main_income"] = decimal(td.string)
elif i == 6: # 营业收入同比增长%
stock_dict["income_rise"] = validate_decimal(td.string)
elif i == 7: # 净利润 万元
stock_dict["net_profit"] = decimal(td.string)
elif i == 8: #净利润同比增长%
stock_dict["net_profit_rise"] = validate_decimal(
td.string)
yield stock_dict
def stock_finical_post():
"""抓取同花顺业绩公告板块
http://data.10jqka.com.cn/financial/yjgg/
http://data.10jqka.com.cn/financial/yjgg/page/56/ajax/1/
"""
headers = {
"Host": "data.10jqka.com.cn",
"Referer": "http://data.10jqka.com.cn/financial/yjyg/",
"X-Requested-With": "XMLHttpRequest"
}
count = range(1, 60)
urls = ["http://data.10jqka.com.cn/financial/yjgg/page/%s/ajax/1/" % num for num in count]
for url in urls:
content = httpGetContent(url, headers, "gb2312")
if content:
soup = BeautifulSoup(content)
stock_item = soup.select("tbody > tr")
for item in stock_item:
tds = item.select('td')
stock_dict = {}
for i, td in enumerate(tds):
if i == 1: # 代码
stock_dict["code"] = td.select('a')[0].string
elif i == 3: # 日期
stock_dict["date"] = str_to_date(td.string, "%Y-%m-%d")
elif i == 4: # 每股收益
stock_dict["earnings"] = decimal(td.string)
elif i == 5: # 营业收入
stock_dict["main_income"] = decimal(td.string)
elif i == 6: # 营业收入同比增长%
stock_dict["income_rise"] = validate_decimal(td.string)
elif i == 7: # 净利润 万元
stock_dict["net_profit"] = decimal(td.string)
elif i == 8: #净利润同比增长%
stock_dict["net_profit_rise"] = validate_decimal(td.string)
yield stock_dict
def stock_base_info(code):
"""
得到股票其他的基础数据信息
包含：
pe_trands 市盈率（动态）：47.98
type 分类 ：big（大盘股）medium （中盘股）small（小盘股）
pe_static 市盈率（静态）：8.61
total_capital 总股本 44.7亿股
ciculate_capital 流通股本 44.7亿股
pb 市净率 1.24
"""
url = "http://basic.10jqka.com.cn/%s/" % code
content = httpGetContent(url)
if content:
stock_dict = {}
soup = BeautifulSoup(content)
profile = soup.select('div#profile')
table = profile[0].select('table')[0]
td_list = table.select('td')
td_select_key = lambda td: td.select('span')[0].text.strip().replace(
'\t', '')
td_select_value = lambda td: td.select('span')[1].text.strip().replace(
'\t', '')
for i, td in enumerate(td_list):
#print td_select_key(td), td_select_value(td)
#stock_dict[td_select_key(td)] = td_select_value(td)
if i == 0: # 主营业务：
stock_dict["main_busyness"] = td_select_value(td)
elif i == 1: # 所属行业：
stock_dict["industry"] = td_select_value(td)
elif i == 2: # 涉及概念：
stock_dict["concept"] = td_select_value(td)
table = profile[0].select('table')[1]
td_list = table.select('td')
td_select_key = lambda td: td.select('span')[0].text.strip().replace(
'\t', '')
#td_select_value = lambda td: td.select('span')[1].text.strip().replace('\t','')
td_select = lambda td: td.select('span')[1].text.strip().replace(
'\t', '')
for i, td in enumerate(td_list):
#print td_select_key(td), td_select_value(td)
#stock_dict[td_select_key(td)] = td_select_value(td)
stock_dict["code"] = code
if i == 0: # 市盈率(动态)：
stock_dict["pe_ratio_dynamic"] = validate_decimal(
td_select(td))
elif i == 2: # 净资产收益率
stock_dict['return_on_equity'] = validate_decimal(
td_select(td))
elif i == 3: # 分类
text = td_select(td)
if text == u"大盘股":
stock_dict['type'] = 'big'
elif text == u'中盘股':
stock_dict['type'] = 'medium'
elif text == u"小盘股":
stock_dict['type'] = 'small'
else:
stock_dict['type'] = text
elif i == 4: # 市盈率(静态)
stock_dict['pe_ratio_static'] = validate_decimal(td_select(td))
elif i == 5: # 营业收入
stock_dict['income'] = validate_decimal(td_select(td))
elif i == 6: # 每股净资产
stock_dict['assert_per_share'] = validate_decimal(
td_select(td))
elif i == 7: # 总股本
stock_dict['total_capital'] = validate_decimal(td_select(td))
elif i == 8: # 市净率
stock_dict['pb'] = validate_decimal(td_select(td))
elif i == 9: # 净利润
stock_dict['net_profit'] = validate_decimal(td_select(td))
elif i == 10: # 每股现金流
stock_dict['cash_flow_per_share'] = validate_decimal(
td_select(td))
elif i == 11: # 流通股本
stock_dict['circulate_capital'] = validate_decimal(
td_select(td))
#for item in stock_dict:
# print item, stock_dict[item]
return stock_dict
