def timer_ctrl(win, debug=False):
jq_login()
# 创建rsv对象
rsv = RSV()
if not rsv.update_success:
win.on_update_note_tc_a('rsv初始化失败，原因：\n' + str(rsv.msg) + '\n')
else:
win.on_update_note_tc_a('rsv初始化成功\n')
while True:
try:
on_timer_ctrl(win, rsv, debug)
except Exception as e_:
win.on_update_msg_tc_a(
'\n\n----------------------------\n高频网格检测出错! 原因：\n' + str(e_) +
'\n\n')
time.sleep(30)
def add_reseau(self):
"""
计算动态网格，并添加到数据当中
:return:
"""
if self.debug:
print('开始增加网格信息...')
t_s = time.time()
# 想day data 中 增加必要index
self.data_day = add_stk_index_to_df(self.data_day)
# 增加必要index
self.data_minute = add_stk_index_to_df(self.data_minute)
# 增加rsv数据
self.data_day = RSV.add_rsv(self.data_day, self.rsv_span)
# 最初的数天数据不进行回测，开始的部分数据因为数据量原因计算不出网格大小
max_days = self.max_days
i_start = self.i_start
i = len(self.data_minute) - i_start
data_day = self.data_day.set_index(keys='date')
# 大循环
for idx in self.data_minute[i_start:].index:
# 获取当天数据
df_today = self.cal_today_ochl(
self.data_minute.loc[idx -
int(60 * 4 / self.retest_span):idx, :])
# 获取时间
date = self.data_minute.loc[idx, 'date']
# 获取该日期之前数天的数据
df_day_data = self.data_day[
self.data_day['date'] < date][1 - self.reseau_slow:]
# 增加今天的数据
df_day_complete = df_day_data.append(df_today, ignore_index=True)
# 计算rsv和波动情况
# rsv = RSV.cal_rsv_rank_sub(df_day_complete, self.rsv_span)
try:
rsv = data_day.loc[date, 'RSV']
except:
print()
reseau_object = Reseau()
reseau = reseau_object.get_single_stk_reseau_sub(
df_=df_day_complete,
slow=self.reseau_slow,
quick=self.reseau_quick)
self.data_minute.loc[idx, 'rsv'] = rsv
self.data_minute.loc[idx, 'reseau'] = reseau
# 调节 buy 和 sale 的 threshold
self.data_minute.loc[idx, 'thh_sale'] = reseau * 2 * rsv
self.data_minute.loc[idx, 'thh_buy'] = reseau * 2 * (1 - rsv)
if self.debug:
i = i - 1
print('还剩%d行' % i)
minute_reckon_print(t_s, '增加网格')