def fun(data):
stocks=data['stocks']
kline=data['kline']
# print(os.getpid(), stocks)
table_name='MA_A_'+kline
interval = KlineInfo.get_interval(kline)
detal=KlineInfo.get_detal(kline)
off=KlineInfo.get_off(kline=kline)
day_interval=KlineInfo.get_day_interval(kline)
pixel=64
for sc in stocks:
end_time = Calendar.today()
start_time = Calendar.calc(end_time,-day_interval)['date']
# end_time = dt.datetime(2018,8,1)
# start_time=dt.datetime(2018,6,20)
data = KlineData.read_data(code=sc, start_date=Calendar.calc(start_time, -off)['date'], end_date=end_time,
kline=kline, timemerge=True)
if len(data) <= 200:
continue
data = CalMa.cal_ma(data, interval,detal)
data = data.dropna()
print(sc)
while end_time > start_time:
data0 = data.tail(pixel)
data0 = data0.reset_index(drop=True)
profit = data0['profit']
profitself = data0['profit_self']
date = data0['date']
data0 = CalMa.data_normalization(data0,pixel)
data0['date'] = date
data0['profit'] = profit
data0['profitself'] = profitself
if len(data0) < pixel:
break
data0 = data0.reset_index(drop=True)
profit = data0.profit.iloc[len(data0)-1]
profitself = data0.profitself.iloc[len(data0)-1]
date = data0.date.iloc[len(data0)-1]
if 'min' in kline:
if 'A' in table_name:
if date.hour != 15:
data = data[data.date < dt.datetime(date.year, date.month, date.day)]
break
if abs(profit) > 0.11 or abs(profitself) > 0.097:
data = data[data.date < dt.datetime(date.year, date.month, date.day)]
continue
else:
if abs(profit) > 0.1 * interval:
data = data[data.date < dt.datetime(date.year, date.month, date.day)]
continue
if 'A' in table_name:
if abs(profitself) > 0.097:
data = data[data.date < dt.datetime(date.year, date.month, date.day)]
continue
try:
visualization.draw_ma_line(data=data0, profits=profit,
date=date, code=sc,
table_name=table_name,pixel=pixel)
except Exception as e:
print(e)
pass
data = data[data.date < dt.datetime(date.year, date.month, date.day)]
end_time = date
return 1
def fun(data):
stocks = data['stocks']
kline = data['kline']
pixel = 64
interval = KlineInfo.get_interval(kline=kline)
detal = KlineInfo.get_detal(kline=kline)
table_name = 'MACD_A_' + kline
day_interval = KlineInfo.get_day_interval(kline)
print(table_name)
for sc in stocks:
# end_time = dt.datetime(2018, 8, 1)
# start_time = dt.datetime(2018, 7, 16)
end_time = Calendar.today()
start_time = Calendar.calc(end_time, -day_interval)['date']
data = KlineData.read_data(code=sc,
start_date=Calendar.calc(start_time,
-203)['date'],
end_date=end_time,
kline=kline,
timemerge=True)
if len(data) <= 200:
continue
data = CalMacd.cal_macd(data=data, interval=interval, detal=detal)
data = data.dropna()
# data = data[0:len(data) - interval]
print(sc)
while end_time > start_time:
# print(sc,dt.datetime.now())
data0 = data.tail(pixel)
data0 = data0.reset_index(drop=True)
profit = data0['profit']
profit_self = data0['profit_self']
date = data0['date']
data0 = CalMacd.data_normalization(data0, pixel=pixel)
# print(sc, dt.datetime.now())
data0['date'] = date
data0['profit'] = profit
data0['profit_self'] = profit_self
# print(len(data0))
if len(data0) < pixel:
break
data0 = data0.reset_index(drop=True)
profit = data0.profit.iloc[pixel - 1]
profitself = data0.profit_self.iloc[pixel - 1]
date = data0.date.iloc[pixel - 1]
if 'min' in kline:
if 'A' in table_name:
if date.hour != 15:
data = data[data.date < dt.datetime(
date.year, date.month, date.day)]
break
if abs(profit) > 0.11 or abs(profitself) > 0.097:
data = data[data.date < dt.datetime(
date.year, date.month, date.day)]
continue
else:
if abs(profit) > 0.1 * interval:
data = data[data.date < dt.datetime(
date.year, date.month, date.day)]
continue
if 'A' in table_name:
if abs(profitself) > 0.097:
data = data[data.date < dt.datetime(
date.year, date.month, date.day)]
print(sc, str(profitself) + '_' + str(date))
continue
try:
visualization.draw_macd_line(data=data0,
profits=profit,
date=date,
code=sc,
table_name=table_name,
pixel=pixel)
pass
except Exception as e:
print(e)
pass
data = data[
data.date < dt.datetime(date.year, date.month, date.day)]
end_time = date
return 1
