def main(opt):
pool = Mail_Pool()
if opt.add_acnt:
pool.add_account()
elif opt.remove_acnt:
pool.remove_account()
elif opt.show_acnts:
pool.show_current_accounts()
elif opt.send:
send_msg = SendMail()
send_msg.fetch_acnts()
else:
choices = pool.mail_box()
if choices:
if opt.read:
deliver(choices, 'read')
if opt.delete:
deliver(choices, 'delete')
if opt.write:
deliver(choices, 'write')
if opt.fetch_stored:
pool.fetch_stored(choices)
if opt.delete_stored:
pool.delete_stored(choices)
def two_eight_turn_v3(self):
subject = "【二八轮动25天间隔测试结果】" + time.strftime("%Y-%m-%d", time.localtime())
code_300 = 'sh000300'
p300_1, p300_20 = GetData().get_index_price_25(code_300)
delta300 = p300_1 - p300_20
percent300 = delta300/p300_20
body_1 = "【沪深300】: %f（今天）, %f（25天前）, %f（差值）, %f%%（差值百分比）\n" % (p300_1, p300_20, delta300, percent300*100)
code_cyb = 'sz399006'
pcyb_1, pcyb_20 = GetData().get_index_price_25(code_cyb)
deltacyb = pcyb_1 - pcyb_20
percent_cyb = deltacyb/pcyb_20
body_2 = "【创业板】: %f（今天）, %f（25天前）, %f（差值）, %f%%（差值百分比）\n" % (pcyb_1, pcyb_20, deltacyb, percent_cyb*100)
if percent_cyb > percent300 and percent_cyb > 0:
body_3 = "【买入】创业板ETF\n"
elif percent300 > percent_cyb and percent300 > 0:
body_3 = "【买入】300ETF\n"
else:
body_3 = "【买入】纳指100\n"
body = body_1 + body_2 + body_3
print(body)
SendMail().send_mail(subject, body)
def deal_with_ma60(self):
# 清理旧记录
file_name = csv_path + "buy_date_record.csv"
try:
os.remove(file_name)
except:
print("csv is not exist.")
code_list, name_list = GetData().read_index_code()
dict = {}
for i in range(0, len(code_list)):
dict[code_list[i]] = name_list[i]
#print(first_dict)
print(time.strftime("%Y-%m-%d", time.localtime()))
subject = "【买入时机测试结果】" + time.strftime("%Y-%m-%d", time.localtime())
body = ""
res_name_list = []
#dict = {"sz000009": "中国宝安"}
#dict = {"sz300750": "宁德时代"}
#print(dict)
for code in dict:
name = dict[code]
print("开始处理<" + name + ">")
buy_date_list = []
# 读取csv数据
try:
test_data = read_data(data_path, dict, code)
except Exception as e:
print("读取数据失败：<" + name + ">.csv")
continue
for line in test_data[-180:]:
#print(line)
try:
last_price = float(line[5])
ma10_price = float(line[-3])
ma60_price = float(line[-2])
line_index = test_data.index(line)
# 找到10日线和60日线交叉处
if ma10_price > ma60_price and test_data[line_index-2][-2] > test_data[line_index-2][-3] and test_data[line_index+2][-2] < test_data[line_index+2][-3]:
i = 0
count_ma10 = 0
count_last = 0
#print(test_data[line_index+20][1])
while i < 20:
# 这个交叉处后20天,10日线始终在60日线上方，每日收盘价始终在60日上方
i += 1
if test_data[line_index + 2 + i][-3] > test_data[line_index + 2 + i][-2]:
#print("a:" + test_data[line_index + 2 + i][-3] + "b:" + test_data[line_index + 2 + i][-2])
count_ma10 += 1
if test_data[line_index + 3 + i][5] > test_data[line_index + 3 + i][-2]:
#print("c:" + test_data[line_index + 2 + i][-3] + "d:" + test_data[line_index + 2 + i][-2])
count_last += 1
if count_ma10 == 20 and count_last == 20:
buy_date_list.append(test_data[line_index+20][1])
#print(test_data[line_index+20][1])
if get_diff_days_to_now(test_data[line_index+20][1]) < 20:
res_name_list.append(name)
except Exception as e:
continue
res = "[" + name + "] 买：" + str(buy_date_list) + "\n"
print(res)
body = body + res
print("【处理完成】")
save_buy_date(csv_path, code, name, buy_date_list)
body = ""
res = "[10日线连续在60日线上方20天买入点5日内提示] " + "\n"
tt = list(set(res_name_list))
tt.sort()
for r in tt:
res = res + r + "\n"
print(res)
body = body + res
SendMail().send_mail(subject, body)
def deal_with_ma240_down(self):
# 清理旧记录
file_name = csv_path + "buy_date_record.csv"
try:
os.remove(file_name)
except:
print("csv is not exist.")
code_list, name_list = GetData().read_index_code()
dict = {}
for i in range(0, len(code_list)):
dict[code_list[i]] = name_list[i]
#print(first_dict)
print(time.strftime("%Y-%m-%d", time.localtime()))
subject = "【买入时机测试结果】" + time.strftime("%Y-%m-%d", time.localtime())
body = ""
res_name_list = []
#dict = {"sz000009": "中国宝安"}
#dict = {"sz300750": "宁德时代"}
#print(dict)
for code in dict:
name = dict[code]
print("开始处理<" + name + ">")
buy_date_list = []
# 读取csv数据
try:
test_data = read_data(data_path, dict, code)
except Exception as e:
print("读取数据失败：<" + name + ">.csv")
continue
for line in test_data[-600:]:
#print(line)
try:
last_price = float(line[-5])
ma120_price = float(line[-3])
ma180_price = float(line[-2])
ma240_price = float(line[-1])
line_index = test_data.index(line)
# 找到每日和240日线交叉处
#if ((last_price > ma240_price) and (test_data[line_index-2][-1] > test_data[line_index-2][5])) and (test_data[line_index+2][-1] < test_data[line_index+2][5]):
#print(type(test_data[line_index - 2][-1]), type(test_data[line_index - 2][-5]))
if (float(test_data[line_index - 2][-1]) < float(test_data[line_index - 2][-5])) and (last_price < ma240_price):
i = 0
count_ma240 = 0
count_last = 0
print(line_index, line[1], last_price, ma240_price, test_data[line_index - 2][1], test_data[line_index - 2][-1],
test_data[line_index - 2][-5])
while i < 30:
# 这个交叉处后30天,日线始终在240日线上方，每日收盘价始终在240日上方
i += 1
if test_data[line_index + 1 + i][-5] < test_data[line_index + 1 + i][-1]:
#print("a:" + test_data[line_index + 2 + i][-3] + "b:" + test_data[line_index + 2 + i][-2])
count_ma240 += 1
if count_ma240 == 30:
buy_date_list.append(test_data[line_index+30][1])
#print(test_data[line_index+20][1])
# 距离现在30天内的日期列入
if get_diff_days_to_now(test_data[line_index+30][1]) < 30:
res_name_list.append(name)
except Exception as e:
continue
res = "[" + name + "] 买：" + str(buy_date_list) + "\n"
print(res)
body = body + res
print("【处理完成】")
save_buy_date(csv_path, code, name, buy_date_list)
body = "Total:" + str(len(res_name_list)) + "\n"
res = "[日线连续在240日线下方30天买入点30日内提示] " + "\n"
print("Total:" + str(len(res_name_list)))
tt = list(set(res_name_list))
tt.sort()
for r in tt:
res = res + r + "\n"
print(res)
body = body + res
SendMail().send_mail(subject, body)