def GQ_fetch_index_min(symbol, frequence, path='cache', verbose=False):
if (isinstance(symbol, list)):
symbol = symbol[0]
mkdirs(os.path.join(path, 'index'))
res = pd.read_hdf(os.path.join(path, 'index',
'{}_{}_kline.hdf'.format(symbol,
frequence)),
key='df',
mode='r')
return res
# 'username',
# 'password'])
# 用上面的代码保存密码到用户配置 .GolemQ 目录下面
password = load_settings('password.hdf5')
auth(password.username[0], password.password[0]) #ID是申请时所填写的手机号；Password为聚宽官网登录密码，新申请用户默认为手机号后6位
asset = u'000001.XSHE'
is_auth = is_auth()
# 查询当日剩余可调用条数
print(get_query_count())
print(is_auth)
codelist = ['000876']
code = codelist[0]
# 创建数据下载目录
index_path = mkdirs(os.path.join(mkdirs('datastore'), 'kline', 'index'))
print(index_path)
for year in range(2005, 2017):
start_date = '{}-01-01'
end_date = '{}-01-02'
for code in indexlist:
#his = jqapi.get_price(asset, start_date, end_date, frequency='60m')
data_day = QA.QA_fetch_stock_min_adv(codelist,
start='2019-01-01',
end='2020-08-28',
frequence='60min')
his = data_day.data
export_metadata_to_pickle(index_path, u'{}_{}'.format(asset, year), metadata=his)
print()
'399384',
'510810',
'399987',
'159905',
'399396',
'399997',
'159919',
'159941',
'159920',
]
indexlist = jqapi.normalize_code(indexlist)
code = indexlist[0]
# 创建数据下载目录
frequence = '60min'
index_path = mkdirs(
os.path.join(mkdirs('datastore'), 'kline', 'index', frequence))
print(index_path)
for year in range(2017, 2005, -1):
start_date = '{}-01-01'.format(year)
end_date = '{}-01-02'.format(year + 1)
for asset in indexlist:
print(
asset,
start_date,
end_date,
)
indexfile = os.path.join(
index_path, u'{}_{}_{}.pickle'.format(asset, year, frequence))
if os.path.isfile(indexfile):
print('文件已经存在，跳过 ', indexfile)
