def get_data(self, code, start, end):
self.code = code
try:
self.data = QA_DataStruct_Stock_transaction(
QA_fetch_get_stock_transaction(code, start, end))
return self.data
except Exception as e:
raise e
def __saving_work(code):
QA_util_log_info(
'##JOB10 Now Saving STOCK_TRANSACTION ==== %s' % (str(code)))
try:
coll.insert_many(
QA_util_to_json_from_pandas(
QA_fetch_get_stock_transaction(str(code), str(stock_list[code]), str(now_time())[0:10])))
except:
err.append(str(code))
def __saving_work(code):
QA_util_log_info(
'##JOB11 Now Saving STOCK_TRANSACTION ==== {}'.format(str(code)), ui_log=ui_log)
try:
coll.insert_many(
QA_util_to_json_from_pandas(
# 🛠todo str(stock_list[code]) 参数不对？
QA_fetch_get_stock_transaction(str(code), '1990-01-01', str(now_time())[0:10])))
except:
err.append(str(code))
data = QA.QA_fetch_stock_min('000001','2018-01-01','2019-01-01','pd')
data['2019-06-26 09:25:00':'2019-06-26 09:30:00']['volume'].sum()
#%%
start = '2017-06-15'
end = '2017-06-27'
freq = '30min'
from QUANTAXIS.QAFetch.QATdx import QA_fetch_get_stock_min,QA_fetch_get_stock_transaction
data = QA_fetch_get_stock_min('000002',start,end,freq,True,True)
data1 = QA_fetch_get_stock_min('000002',start,end,freq)
#data2 = QA_fetch_get_stock_transaction('000002','2018-12-26','2019-02-15 13:02:00','1min')
from QUANTAXIS.QAData.data_resample import QA_data_min_resample_stock,QA_data_stocktick_resample_1min,QA_data_min_resample
data1 = QA_data_stocktick_resample_1min(QA_fetch_get_stock_transaction('000002',start,end))
data3 = QA_data_min_resample_stock(data1,freq)
data3 = QA_data_min_resample(data1,freq)
data1[['datetime','code']]
#%%
data = QA.QAFetch.QATdx.QA_fetch_get_stock_transaction('000001','2015-06-05','2015-06-06')
data.index = pd.to_datetime(data.index)
type(data.index[0])('2019-01-01')
#%%
data = QA.QAFetch.QATdx.QA_fetch_get_future_list()
data['signal'] = data['code'].apply(lambda x:x[-2:])
data[data['signal'].isin(['L8','L9'])]
1300/8200