self._cl_calculator.find_targets()
curr_time = datetime.now()
if end_time is not None:
curr_time = end_time
latest_bp = self.__db.get_latest_bp(curr_time)
latest_sp = self.__db.get_latest_sp(curr_time)
self.__db.merge_clmacd_result(curr_time, len(latest_bp), len(latest_sp))
self.__db.update_log_time('last_merge_clmacd_result_time')
mail = ZeusMail()
mail.send_mail(curr_time, latest_bp, latest_sp)
if __name__ == '__main__':
bd = BaseDB()
sbf = StockBaseFetcher(bd)
df = KDataFetcher(bd)
cc = CLMACDCalculator(bd)
zeus = Zeus(bd, sbf, df, cc)
# zeus.refresh_stock_list()
# zeus.refresh_targets()
# st = datetime.strptime('2017-06-01 16:05:00', '%Y-%m-%d %H:%M:%S')
# zeus.refresh_targets(st)
# 开始运行
zeus.start()
row['id_time'], row['code'], row['price'])
text += '</table></body></html>'
msg = MIMEText(text, 'html', 'utf-8')
msg["Subject"] = '%s - bp:%d sp:%d' % (
calc_time.strftime('%Y-%m-%d %H:%M:%S'), bp_count, sp_count)
msg["From"] = self.__user
msg["To"] = self.__to
try:
s = smtplib.SMTP_SSL("smtp.qq.com", 465)
s.login(self.__user, self.__pwd)
s.sendmail(self.__user, self.__to, msg.as_string())
s.quit()
print("Mail sending Success!")
except smtplib.SMTPException as e:
print("Mail sending Falied,%s" % e)
if __name__ == '__main__':
curr_time = datetime.now()
db = BaseDB()
latest_bp = db.get_latest_bp(curr_time)
latest_sp = db.get_latest_sp(curr_time)
db.merge_clmacd_result(curr_time, len(latest_bp), len(latest_sp))
db.update_log_time('last_merge_clmacd_result_time')
mail = ZeusMail()
mail.send_mail(curr_time, latest_bp, latest_sp)
if len(df) < 80:
return
last_index = len(df) - 1
if not if_times(df['date'][last_index], k_type):
df = df.drop(last_index)
macd_dif, macd_dea, macd_val = ta.MACDEXT(np.array(df['close']), fastperiod=12, fastmatype=1, slowperiod=26,
slowmatype=1, signalperiod=9, signalmatype=1)
macd_val = macd_val * 2
df['dif'] = pd.Series(macd_dif, index=df.index)
df['dea'] = pd.Series(macd_dea, index=df.index)
df['macd'] = pd.Series(macd_val, index=df.index)
remain_count = 40;
if k_type == '15':
remain_count = 80
df1 = df[(len(df) - remain_count):len(df)]
df1.to_sql(table_name, self.__db.get_engine(), if_exists='append', index=False)
except Exception as e:
print(":", e.__repr__(), code)
if __name__ == '__main__':
base_db = BaseDB()
sf = KDataFetcher(base_db)
# sf.fetch_hist_min_label_k_data_all('30')
# sf.fetch_hist_min_label_k_data_all('15')
# bd = base_db.get_macd_data('000066', '15')
sf.fetch_hist_min_label_k_data(base_db, '000066', '30', 1, 1)
def __init__(self):
BaseDB.__init__(self)
def __init__(self):
# super(DomainDB, self).__init__()
BaseDB.__init__(self)
def __init__(self):
#super(DomainDB, self).__init__()
BaseDB.__init__(self)
def __init__(self):
BaseDB.__init__(self)
