This package can very easily and friendly download China market and USA market and any stock data from yahoo HK and future data from Sina, then analyze the data.
Project description
* Ivystock
Ivystock
* Installation
pip install Ivystock
* Help
Hongkong
code='0336.HK'
Shenzhen
code='000969.SZ'
Shanghai
code='600011.SS'
Shangzheng Index
code='000001.SS'
HK index
code='^HSI'
USA stock
code='AAPL'
* Sample
from ivystock import ivystock as ivy
if __name__ == '__main__':
code = '0336.HK'
stock = ivy.Ivystock()
# SS.begin = SS.datetime_timestamp("2018-1-1 09:00:00")
#stock.help()
#stock.get(code)
#stock.plot(code)
# hl50 = r"http://www.csindex.com.cn/uploads/file/autofile/cons/000015cons.xls"
# hs300 = r"http://www.csindex.com.cn/uploads/file/autofile/closeweight/000300closeweight.xls"
#aa = stock.get_code(hs300)
#dd = stock.get_code('hl50')
#stock.get_list(dd)
#stock.preprocess(dd,['Date','Close'])
#futurelist = ['TA0','RS0','RM0']
code = 'A0'
#stock.get_future(futurelist)
tick = stock.get_dick(code, '5m')
tick1m = stock.get_1m(code)
Ivystock
* Installation
pip install Ivystock
* Help
Hongkong
code='0336.HK'
Shenzhen
code='000969.SZ'
Shanghai
code='600011.SS'
Shangzheng Index
code='000001.SS'
HK index
code='^HSI'
USA stock
code='AAPL'
* Sample
from ivystock import ivystock as ivy
if __name__ == '__main__':
code = '0336.HK'
stock = ivy.Ivystock()
# SS.begin = SS.datetime_timestamp("2018-1-1 09:00:00")
#stock.help()
#stock.get(code)
#stock.plot(code)
# hl50 = r"http://www.csindex.com.cn/uploads/file/autofile/cons/000015cons.xls"
# hs300 = r"http://www.csindex.com.cn/uploads/file/autofile/closeweight/000300closeweight.xls"
#aa = stock.get_code(hs300)
#dd = stock.get_code('hl50')
#stock.get_list(dd)
#stock.preprocess(dd,['Date','Close'])
#futurelist = ['TA0','RS0','RM0']
code = 'A0'
#stock.get_future(futurelist)
tick = stock.get_dick(code, '5m')
tick1m = stock.get_1m(code)
Project details
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Ivystock-0.4.0.zip
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