def OnTimerCtrl(win, debug=False):
"""
定时器响应函数
:return:
"""
# 清屏
wx.PostEvent(
win,
ResultEvent(id=MSG_UPDATE_ID_S,
data='检测时间：' + get_current_datetime_str() + '\n\n'))
# 不在交易时间不使能定时器
if not is_in_trade_time():
wx.PostEvent(
win, ResultEvent(id=MSG_UPDATE_ID_A, data='控制台定时器：当前不属于交易时间！\n'))
return
buy_stk_list = list(
set(readConfig()['buy_stk'] + readConfig()['index_stk']))
if debug:
print('OnTimerCtrl_4')
# 局部变量
note_list = []
# 对股票进行检查
for stk in buy_stk_list:
str_gui = JudgeSingleStk(stk_code=stk,
stk_amount_last=400,
qq='',
gui=True)
if len(str_gui['note']):
note_list.append(str_gui['note'])
# 打印流水信息
if len(str_gui['msg']):
wx.PostEvent(win,
ResultEvent(id=MSG_UPDATE_ID_A, data=str_gui['msg']))
# 根据情况打印提示信息，并闪动
if len(note_list):
# 清屏
wx.PostEvent(
win,
ResultEvent(id=NOTE_UPDATE_ID_S,
data='检测时间：' + get_current_datetime_str() + '\n\n'))
# 打印提示
for note in note_list:
wx.PostEvent(
win,
ResultEvent(id=NOTE_UPDATE_ID_A, data=ChangeFontColor(note)))
# 闪动图标提醒
wx.PostEvent(win, ResultEvent(id=FLASH_WINDOW_ID, data=None))
def get_pic_dict():
"""
获取图片字典
:return:
"""
dict_stk_list = {
'index': ['sh', 'sz', 'cyb'],
'buy': readConfig()['buy_stk'],
'concerned': readConfig()['concerned_stk']
}
pic_dict = {}
for tab in dict_stk_list.keys():
stk_list = dict_stk_list[tab]
stk_list_pic_dict = {}
for stk in stk_list:
df = get_k_data_JQ(stk, 400)
stk_pic_dict = {
'hour': gen_Hour_MACD_Pic(stk),
'day': gen_Day_Pic(df, stk_code=stk)[0],
'wm': gen_W_M_MACD_Pic(stk),
'index': gen_Idx_Pic(df, stk_code='')[0]
}
stk_list_pic_dict[stk] = stk_pic_dict
# 将page中的stk pic存入字典
pic_dict[tab] = stk_list_pic_dict
return pic_dict
def concerned_stk_middle_check():
towho = '影子2'
stk_list = readConfig()['buy_stk'] + readConfig()['concerned_stk']
check_stklist_middle_level(stk_list, towho)
# 检查小时MACD
checkHourMACD_callback()
def updateRSVRecord():
try:
code_list = list(
set(readConfig()['buy_stk'] + readConfig()['concerned_stk'] +
readConfig()['index_stk']))
# global RSV_Record
for stk in code_list:
RSV_Record[stk] = calRSVRank(stk, 5) / 100
except Exception as e:
print(str(e))
def updateRSVRecord(self):
try:
code_list = list(
set(readConfig()['buy_stk'] + readConfig()['concerned_stk'] +
readConfig()['index_stk']))
# global RSV_Record
for stk in code_list:
RSV_Record[stk] = calRSVRank(stk, 5)
except Exception as e:
# print(str(e))
self.p_ctrl.m_textCtrlMsg.AppendText('RSV数据更新失败！原因：\n' + str(e) +
'\n')
def sendConcernedStkPicToSelf_T():
"""
将自己关心的数据打印出图，发送到qq
:return:
"""
towho = '影子2'
send_qq(towho, '以下是已入的stk的形势图：')
stk_buy = readConfig()['buy_stk']
for x in stk_buy + ['sh', 'sz', 'cyb']:
df = get_k_data_JQ(x, 400)
fig, _, attention = genStkPicForQQ(df, x)
if attention:
send_pic_qq(towho, fig)
send_W_M_MACD(x, towho)
plt.close()
# 打印第二张套图
fig, _, attention = genStkIdxPicForQQ(df, x)
if attention:
send_pic_qq(towho, fig)
plt.close()
def sendConcernedStkPicToSelf_V2():
"""
将自己关心的数据打印出图，发送到qq
相较于之前版本，本次改进为：
1、使用json文件中的code列表代替数据库中的列表
2、进行判断，出发发送条件再予以发送
:return:
"""
towho = '影子2'
send_qq(towho, '以下是已入的stk的形势图：')
code_list = readConfig()['buy_stk']
for x in code_list + ['sh', 'sz', 'cyb']:
df = get_k_data_JQ(x, 400)
fig, _ = genStkPicForQQ(df)
plt.title(str(x))
send_pic_qq(towho, fig)
# plt.show()
plt.close()
fig, _ = genStkIdxPicForQQ(df)
plt.title(str(x))
send_pic_qq(towho, fig)
# plt.show()
plt.close()
send_W_M_MACD(x, towho)
def update_middle_period_hour_data():
stk_list = readConfig()['buy_stk'] + readConfig()['concerned_stk']
# stk_list = readConfig()['buy_stk']
# 获取股票的小时数据
result = {}
for stk in stk_list:
df_hour = get_k_data_JQ(stk,
count=None,
start_date=add_date_str(
get_current_date_str(), -60),
freq='60m')
result[stk] = list(df_hour['close'].values)
with open(data_dir + 'middlePeriodHourData.json', 'w') as f:
json.dump(result, f)
def JudgePChangeRatio(stk_code, price_diff_ratio, debug=True):
"""
判断stk的变化是否达到一定的幅度，以杜绝反复上报
:param stk_code:
:return:
"""
global price_diff_ratio_last_dic
if debug:
print('函数JudgeSingleStk：进入函数！')
# 变化1个百分点再报，避免重复报
if stk_code in p_diff_ratio_last_dic.keys():
if math.fabs(price_diff_ratio - p_diff_ratio_last_dic[stk_code]
) * 100 > readConfig()['pcr']:
p_diff_ratio_last_dic[stk_code] = price_diff_ratio
if debug:
print('函数JudgeSingleStk：' + str(stk_code) +
'价格变化幅度达标，允许推送，并更新振幅记忆！' + '\np_ratio_now:' +
str(price_diff_ratio) + '\np_ratio_last:' +
str(p_diff_ratio_last_dic[stk_code]))
return True
else:
print('函数JudgeSingleStk：' + str(stk_code) + '价格变化幅度不够，不许推送！' +
'\np_ratio_now:' + str(price_diff_ratio) +
'\np_ratio_last:' + str(p_diff_ratio_last_dic[stk_code]))
return False
else:
p_diff_ratio_last_dic[stk_code] = price_diff_ratio
if debug:
print('函数JudgeSingleStk：' + str(stk_code) + '首次运行，允许推送！')
return True
def updateRSVRecord():
try:
code_list = readConfig()['buy_stk']
# global RSV_Record
for stk in code_list:
RSV_Record[stk] = calRSVRank(stk, 5)
except Exception as e:
send_qq('影子2', 'RSV数据更新失败！\n' + str(e))
def callback_gui():
towho = '影子2'
buy_stk_list = readConfig()['buy_stk'] + readConfig()['concerned_stk']
for stk in buy_stk_list:
str_gui = JudgeSingleStk(stk_code=stk, stk_amount_last=400, qq=towho, gui=True)
def sendRelaLevel2QQ():
send_qq(towho='影子2', msge='注意低位囤货：')
calRelaPLevel(readConfig()['safe_stk'], -720, '影子2')
# encoding=utf-8
# encoding=utf-8
def OnTimer(win, debug=False):
"""
定时器响应函数
:return:
"""
global last_upt_t
upt_flag, last_upt_t = is_time_h_macd_update(last_upt_t)
wx.PostEvent(win, ResultEvent(id=LAST_TIME_UPDATE_ID, data=last_upt_t))
if not upt_flag:
wx.PostEvent(
win,
ResultEvent(id=MSG_UPDATE_ID_A, data='图片更新定时器：“小时图片”更新时间点未到！\n'))
return
# 清屏
wx.PostEvent(
win,
ResultEvent(id=NOTE_UPDATE_ID_S,
data='检测时间：' + get_current_datetime_str() + '\n\n'))
# 生成更新的图片
wx.PostEvent(win, ResultEvent(id=MSG_UPDATE_ID_A, data='开始更新小时图片...\n'))
pic_dict = timer_update_pic('h')
wx.PostEvent(win, ResultEvent(id=HOUR_UPDATE_ID, data=pic_dict))
wx.PostEvent(win, ResultEvent(id=MSG_UPDATE_ID_A, data='小时图片更新完成！\n'))
# 中期水平检测
wx.PostEvent(win, ResultEvent(id=MSG_UPDATE_ID_A, data='开始“中期水平检测”...！\n'))
df_level = check_stk_list_middle_level(
list(set(readConfig()['buy_stk'] + readConfig()['concerned_stk'])))
wx.PostEvent(win, ResultEvent(id=MSG_UPDATE_ID_A, data='“中期水平检测”完成！\n'))
wx.PostEvent(win,
ResultEvent(id=NOTE_UPDATE_ID_A, data=str(df_level) + '\n\n'))
note_tmp = \
"""
----------------------------------------------------------------------------------
小提示：
所谓“中期水平检测”是对自己的“持仓股票”和“关注股票”的当前价格在两个月内的水平
进行统计排名，由低到高排序，越在前面的，表示当前价格越是处于低位！
level这一列表示处于低位的实际情况，是一个0~100的数，比如12.2表示当前价格只超过了两
个月来12.2%的时间！
----------------------------------------------------------------------------------
""" + '\n'
wx.PostEvent(win, ResultEvent(id=MSG_UPDATE_ID_A, data=note_tmp))
# 拐点检测
for stk in list(
set(readConfig()['buy_stk'] + readConfig()['concerned_stk'] +
readConfig()['index_stk'])):
hour_macd_str = checkSingleStkHourMACD_wx(stk, source='jq')
if len(hour_macd_str):
wx.PostEvent(
win,
ResultEvent(id=NOTE_UPDATE_ID_A,
data=ChangeFontColor(hour_macd_str)))
wx.PostEvent(win, ResultEvent(id=FLASH_WINDOW_ID, data=None))
note_tmp = \
"""
----------------------------------------------------------------------------------
小提示：
所谓“拐点检测”是对自己的“持仓股票”和“关注股票”以及“三大指数”的小时级别和半
小时级别的MACD柱子进行分析，找出“开始上涨”和“开始下跌”的情况，在控制台向用户提
示，用户收到提示后可以查看其相应的MACD图，以便对价格走势做进一步的判断！
----------------------------------------------------------------------------------
""" + '\n'
wx.PostEvent(win, ResultEvent(id=MSG_UPDATE_ID_A, data=note_tmp))
def callback():
towho = '影子2'
buy_stk_list = readConfig()['buy_stk']
for stk in buy_stk_list:
JudgeSingleStk(stk_code=stk, stk_amount_last=400, qq=towho)
