def get_high_low_points(self, stock_code_list):
msg = '''<html> <tr>Trend inverse reminder from H&L Model</tr> <table width="300" border="1" bordercolor="black" cellspacing="1">'''
bar_size = [5, 30, 60]
column_num = [5, 9, 13]
threshold = [0.03, 0.05, 0.15]
send_email_flag = False
for ii in range(len(bar_size)):
if bar_size[ii] == 60:
stock_intraday_data = LoadData.get_daily_stock_data(
stock_code_list, "20100101")
msg = msg + ''' <tr><td rowspan="2">''' + ''' daily </td>'''
else:
stock_intraday_data = LoadData.get_intraday_stock_data(
stock_code_list, bar_size=bar_size[ii], delta_days=365)
msg = msg + ''' <tr><td rowspan="2">''' + str(
bar_size[ii]) + ''' min </td>'''
high_point_index_list, high_point_list, high_point_time_list, low_point_index_list, low_point_list, low_point_time_list = HighLowPoint.get_high_low_points_list(
stock_intraday_data, threshold[ii])
fall_end_list = []
rise_end_lsit = []
fall_end_msg = ""
rise_end_msg = ""
for jj in range(len(stock_code_list)):
self.write_data_to_file(column_num[ii], jj,
high_point_list[jj][-1],
high_point_time_list[jj][-1],
low_point_list[jj][-1],
low_point_time_list[jj][-1])
temp_msg_fall_end, temp_msg_rise_end = self.judge_trend_inverse(
high_point_list[jj], low_point_list[jj],
self.current_price[jj])
if temp_msg_fall_end == True:
fall_end_list.append(stock_code_list[jj])
send_email_flag = True
if temp_msg_rise_end == True:
rise_end_lsit.append(stock_code_list[jj])
send_email_flag = True
for item in fall_end_list:
fall_end_msg = fall_end_msg + item + " "
for item in rise_end_lsit:
rise_end_msg = rise_end_msg + item + " "
msg = msg + "<td>" + "Falling End" + "</td><td>" + fall_end_msg + "</td></tr><tr><td> Rising End </td><td>" + rise_end_msg + "</td></tr> \n"
msg = msg + " </table></html>"
print msg
if send_email_flag == True:
a = SendEmail.Send_Email("Trend inverse reminder from H&L Model",
msg)
print a.isSend
def get_high_low_points(self,stock_code_list):
msg = '''<html> <tr>Trend inverse reminder from H&L Model</tr> <table width="300" border="1" bordercolor="black" cellspacing="1">'''
bar_size = [5,30,60]
column_num = [5,9,13]
threshold = [0.03,0.05,0.15]
send_email_flag = False
for ii in range(len(bar_size)):
if bar_size[ii]==60:
stock_intraday_data = LoadData.get_daily_stock_data(stock_code_list,"20100101")
msg = msg +''' <tr><td rowspan="2">''' + ''' daily </td>'''
else:
stock_intraday_data = LoadData.get_intraday_stock_data(stock_code_list,bar_size=bar_size[ii],delta_days = 365)
msg = msg +''' <tr><td rowspan="2">''' +str(bar_size[ii]) + ''' min </td>'''
high_point_index_list,high_point_list,high_point_time_list,low_point_index_list,low_point_list,low_point_time_list = HighLowPoint.get_high_low_points_list(stock_intraday_data,threshold[ii])
fall_end_list = []
rise_end_lsit = []
fall_end_msg = ""
rise_end_msg = ""
for jj in range(len(stock_code_list)):
self.write_data_to_file(column_num[ii],jj,high_point_list[jj][-1],high_point_time_list[jj][-1],low_point_list[jj][-1],low_point_time_list[jj][-1])
temp_msg_fall_end, temp_msg_rise_end = self.judge_trend_inverse(high_point_list[jj],low_point_list[jj],self.current_price[jj])
if temp_msg_fall_end ==True:
fall_end_list.append(stock_code_list[jj])
send_email_flag = True
if temp_msg_rise_end == True:
rise_end_lsit.append(stock_code_list[jj])
send_email_flag = True
for item in fall_end_list:
fall_end_msg = fall_end_msg + item + " "
for item in rise_end_lsit:
rise_end_msg = rise_end_msg + item +" "
msg = msg +"<td>" + "Falling End" + "</td><td>"+fall_end_msg +"</td></tr><tr><td> Rising End </td><td>"+rise_end_msg+"</td></tr> \n"
msg = msg +" </table></html>"
print msg
if send_email_flag == True:
a = SendEmail.Send_Email("Trend inverse reminder from H&L Model",msg)
print a.isSend
def creepy_data_from_wind_to_local(self):
for ii in range(len(self.user_stock_name_list)):
self.path_is_exist(self.user_stock_name_list[ii])
data_base_path = sys.path[0] + "\\" + "data" + "\\" + "data_base"
stock_fold_path = data_base_path + "\\" + self.user_stock_name_list[ii]
for data_type in self.data_type_list:
data_path = stock_fold_path + "\\" + data_type
latest_date = self.get_latest_date_in_fold(data_path)
print latest_date
temp_stock_name = []
temp_stock_name.append(self.user_stock_name_list[ii])
delta_day = (
datetime.now() - datetime(int(latest_date[0:4]), int(latest_date[4:6]), int(latest_date[6:8]))
).days
print latest_date, delta_day, self.user_stock_name_list[ii]
pos = self.user_stock_name_list[ii].split(".")[1]
print pos
if data_type == "daily":
stock_daily_data = LoadData.get_daily_stock_data(temp_stock_name, latest_date)
for jj in range(len(stock_daily_data[0])):
output_data_path = data_path + "\\" + stock_daily_data[0][jj][0] + ".txt"
WriteToFile.write_to_file(output_data_path, stock_daily_data[0][jj])
if pos != "SZ" and pos != "SH":
break
if float(delta_day) > 3 * 365:
delta_day = 1095
if data_type == "60min":
print "aaa"
stock_60_min_data = LoadData.get_intraday_stock_data(
temp_stock_name, bar_size=60, delta_days=delta_day
)
date_60_min_index = self.get_day_sperate_index(stock_60_min_data)
print stock_60_min_data
print date_60_min_index
for jj in range(len(date_60_min_index) - 1):
file_path = data_path + "\\" + stock_60_min_data[0][date_60_min_index[jj]][0][0:8] + ".txt"
WriteToFile.write_list_to_file(
file_path, stock_60_min_data[0][date_60_min_index[jj] : date_60_min_index[jj + 1]]
)
elif data_type == "30min":
stock_30_min_data = LoadData.get_intraday_stock_data(
temp_stock_name, bar_size=30, delta_days=delta_day
)
date_30_min_index = self.get_day_sperate_index(stock_30_min_data)
for jj in range(len(date_30_min_index) - 1):
file_path = data_path + "\\" + stock_30_min_data[0][date_30_min_index[jj]][0][0:8] + ".txt"
WriteToFile.write_list_to_file(
file_path, stock_30_min_data[0][date_30_min_index[jj] : date_30_min_index[jj + 1]]
)
elif data_type == "15min":
stock_15_min_data = LoadData.get_intraday_stock_data(
temp_stock_name, bar_size=15, delta_days=delta_day
)
date_15_min_index = self.get_day_sperate_index(stock_15_min_data)
for jj in range(len(date_15_min_index) - 1):
file_path = data_path + "\\" + stock_15_min_data[0][date_15_min_index[jj]][0][0:8] + ".txt"
WriteToFile.write_list_to_file(
file_path, stock_15_min_data[0][date_15_min_index[jj] : date_15_min_index[jj + 1]]
)
elif data_type == "5min":
stock_5_min_data = LoadData.get_intraday_stock_data(
temp_stock_name, bar_size=5, delta_days=delta_day
)
date_5_min_index = self.get_day_sperate_index(stock_5_min_data)
for jj in range(len(date_5_min_index) - 1):
file_path = data_path + "\\" + stock_5_min_data[0][date_5_min_index[jj]][0][0:8] + ".txt"
WriteToFile.write_list_to_file(
file_path, stock_5_min_data[0][date_5_min_index[jj] : date_5_min_index[jj + 1]]
)
def creepy_data_from_wind_to_local(self):
for ii in range(len(self.user_stock_name_list)):
self.path_is_exist(self.user_stock_name_list[ii])
data_base_path = sys.path[0] + "\\" + "data" + "\\" + "data_base"
stock_fold_path = data_base_path + "\\" + self.user_stock_name_list[
ii]
for data_type in self.data_type_list:
data_path = stock_fold_path + "\\" + data_type
latest_date = self.get_latest_date_in_fold(data_path)
print latest_date
temp_stock_name = []
temp_stock_name.append(self.user_stock_name_list[ii])
delta_day = (
datetime.now() -
datetime(int(latest_date[0:4]), int(latest_date[4:6]),
int(latest_date[6:8]))).days
print latest_date, delta_day, self.user_stock_name_list[ii]
pos = self.user_stock_name_list[ii].split(".")[1]
print pos
if data_type == "daily":
stock_daily_data = LoadData.get_daily_stock_data(
temp_stock_name, latest_date)
for jj in range(len(stock_daily_data[0])):
output_data_path = data_path + "\\" + stock_daily_data[
0][jj][0] + ".txt"
WriteToFile.write_to_file(output_data_path,
stock_daily_data[0][jj])
if pos != "SZ" and pos != "SH":
break
if float(delta_day) > 3 * 365:
delta_day = 1095
if data_type == "60min":
print "aaa"
stock_60_min_data = LoadData.get_intraday_stock_data(
temp_stock_name, bar_size=60, delta_days=delta_day)
date_60_min_index = self.get_day_sperate_index(
stock_60_min_data)
print stock_60_min_data
print date_60_min_index
for jj in range(len(date_60_min_index) - 1):
file_path = data_path + "\\" + stock_60_min_data[0][
date_60_min_index[jj]][0][0:8] + ".txt"
WriteToFile.write_list_to_file(
file_path, stock_60_min_data[0]
[date_60_min_index[jj]:date_60_min_index[jj + 1]])
elif data_type == "30min":
stock_30_min_data = LoadData.get_intraday_stock_data(
temp_stock_name, bar_size=30, delta_days=delta_day)
date_30_min_index = self.get_day_sperate_index(
stock_30_min_data)
for jj in range(len(date_30_min_index) - 1):
file_path = data_path + "\\" + stock_30_min_data[0][
date_30_min_index[jj]][0][0:8] + ".txt"
WriteToFile.write_list_to_file(
file_path, stock_30_min_data[0]
[date_30_min_index[jj]:date_30_min_index[jj + 1]])
elif data_type == "15min":
stock_15_min_data = LoadData.get_intraday_stock_data(
temp_stock_name, bar_size=15, delta_days=delta_day)
date_15_min_index = self.get_day_sperate_index(
stock_15_min_data)
for jj in range(len(date_15_min_index) - 1):
file_path = data_path + "\\" + stock_15_min_data[0][
date_15_min_index[jj]][0][0:8] + ".txt"
WriteToFile.write_list_to_file(
file_path, stock_15_min_data[0]
[date_15_min_index[jj]:date_15_min_index[jj + 1]])
elif data_type == "5min":
stock_5_min_data = LoadData.get_intraday_stock_data(
temp_stock_name, bar_size=5, delta_days=delta_day)
date_5_min_index = self.get_day_sperate_index(
stock_5_min_data)
for jj in range(len(date_5_min_index) - 1):
file_path = data_path + "\\" + stock_5_min_data[0][
date_5_min_index[jj]][0][0:8] + ".txt"
WriteToFile.write_list_to_file(
file_path, stock_5_min_data[0]
[date_5_min_index[jj]:date_5_min_index[jj + 1]])
