def data_test_m(self): # 获取试验数据
class_sql = PostgreSQL('backtest')
j_data = class_sql.minute_select('m')
data = pd.DataFrame(j_data, columns=['时间', '开盘价', '最高价', '最低价', '收盘价', '成交量', '持仓量'])
data.set_index(['时间'], inplace=True)
class_pro= kline_process()
spe = 'm'
begindate = '2014-12-29'
enddate = '2018-08-21'
data = class_pro.minute_day(spe, begindate, enddate, data)
return data
def __init__(self):
# 动图显示的k线根数
self.kline_num = 100
sql = PostgreSQL('backtest')
data = sql.minute_select('j')
data = pd.DataFrame(data, columns=['时间', '开盘价', '最高价', '最低价', '收盘价', '成交量', '持仓量'])
data.set_index(['时间'], inplace=True)
k_p = kline_process()
spe = 'j'
begindate = '2014-07-07'
enddate = '2018-08-28'
data = k_p.minute_day(spe, begindate, enddate, data)
self.data = data
macd = MACD_JW()
for i in range(0, len(data)):
macd.macd_loop(data.loc[i, '收盘价'])
self.macd = macd
print('数据Done')
def kline_combine(self):
self.time_print('数据正在合成......')
data = self.data
periodS = self.periods
obj_klineprocess = kline_process()
spe = self.spe
begindate = self.begintime
enddate = self.endtime
if periodS == 'D':
period_data = obj_klineprocess.minute_day(spe, begindate, enddate,
data)
period_data.set_index('时间', inplace=True)
self.time_print('日线数据合成完毕......')
else:
period_data = obj_klineprocess.minute_combine(data,
periods=periodS)
self.time_print('分钟数据合成完毕......')
self.period_data = period_data