基金分析,定时邮件提示

寒假搞基金,写了一个定时提醒的脚本,开学后就不用每天都关注行情了。策略很简单,在定投的基础上,多退少补。涨幅过高赎回,每周四逢低加倍。


执行的效果如图

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import requests
import pandas as pd
import re
import sys
import math
import json
import smtplib
from email.mime.text import MIMEText
import time
import datetime
import numpy as np

def timeStamp_to_time_13(timeNum):
timeStamp = float(timeNum/1000)
timeArray = time.localtime(timeStamp)
otherStyleTime = time.strftime("%Y-%m-%d %H:%M:%S", timeArray)
print(otherStyleTime)

def is_trade_day(date):
server_url = "http://www.easybots.cn/api/holiday.php?d="
# 假如今天是周日
date1 = "".join(date.split('-'))
while(1):
req = requests.get(server_url + date1)
vop_data = json.loads(req.text)
if int(vop_data[date1]) == 2:#节假日
return False
elif int(vop_data[date1]) == 1:#周末
return False
else:
return True
time.sleep(3)
# #now = (datetime.datetime.utcnow() + datetime.timedelta(hours=8))
# sunday = date1.weekday()
# #print(sunday)
# # 如果今天是周日,则返回True
# if sunday == 6 or sunday == 5:
# return False
# else:
# return False
def get_month_year_firstday(error_month = 0):
#获得第一个不是周末的月初和年初日子

for i in range(1,10):

if(error_month == 1):
m_tmp = datetime.datetime.now().strftime('%m')
m_tmp = str(int(m_tmp)-1).rjust(2,"0")
month = datetime.datetime.now().strftime('%Y')+"-"+m_tmp+"-"+str(i).rjust(2,"0")
else:
month = datetime.datetime.now().strftime('%Y-%m')+"-"+str(i).rjust(2,"0")
if is_trade_day(month):
break
for i in range(1,10):
year = datetime.datetime.now().strftime('%Y')+"-01-"+str(i).rjust(2,"0")
if is_trade_day(year):
break

print(month,year)
return month,year
def get_daily_prise(date,fund_code):
"""
:param url: 网页URL
:parma date: 时间日期2020-01-16
:return: 累计净值和日增长率
"""
headers = {"Referer":"http://fundf10.eastmoney.com/jjjz_001811.html","Host":"api.fund.eastmoney.com"}
url = "http://api.fund.eastmoney.com/f10/lsjz?callback=jQuery18305100678071626792_1580736628860&fundCode="+fund_code+"&pageIndex=1&pageSize=20&startDate="+date+"&endDate="+date+"&_=1580736651052"
response = requests.request("GET", url, headers=headers)
tmp = json.loads(response.text[41:-1])['Data']
try:
print("success")
print(tmp['LSJZList'][0]['LJJZ'],tmp['LSJZList'][0]['JZZZL'])
return(tmp['LSJZList'][0]['LJJZ'],tmp['LSJZList'][0]['JZZZL'])
except IndexError:
print("IndexError")
return ("error","error")


def my_mail(message,conf):

msg_from=conf['sender'] #发送方邮箱
passwd=conf['password'] #填入发送方邮箱的授权码
msg_to_list=conf['receiver'] #收件人邮箱

subject="基金邮箱提示"
#print(message)
msg = MIMEText(message,"html")
msg['Subject'] = subject
msg['From'] = msg_from

for i in range(len(msg_to_list)):
msg_to = msg_to_list[i]
msg['To'] = msg_to
try:
s = smtplib.SMTP_SSL("smtp.qq.com",465)
s.login(msg_from, passwd) #登录SMTP服务器
s.sendmail(msg_from, msg_to, msg.as_string())#发邮件 as_string()把MIMEText对象变成str
print ("发送成功")
except s.SMTPException:
print ("发送失败")
finally:
s.quit()

def get_resonse(url):
"""
:param url: 网页URL
:return: 爬取的文本信息
"""
try:
r = requests.get(url)
r.raise_for_status()
r.encoding = 'utf-8'
return r.text
except:
print('Failed to get response to url!')
return ''
def get_realtime_anayls(code):
url = "http://fundgz.1234567.com.cn/js/"+code+".js"
r = get_resonse(url)
text_json = json.loads(r[8:-2])
return text_json

def get_fund_info(code):
failed_list = []
data_list = {}
url = 'http://fund.eastmoney.com/pingzhongdata/'+code+'.js'
response = get_resonse(url)
# 爬取失败等待再次爬取
if response is '':
return ''
else:
strs = re.findall(r'var(.*?);',response)
for i in range(0,len(strs)):
tmp = strs[i].split('=')
var_name = tmp[0].strip()
data_list[var_name] = [tmp[1]]
return data_list

def getYesterday(today=datetime.date.today()):

for i in range(1,100):
oneday=datetime.timedelta(days=i)
yesterday=today-oneday
print(yesterday)
if(is_trade_day(yesterday.strftime('%Y-%m-%d'))):
return yesterday

def make_csv():
fund_list = read_fund_list()
#print(fund_list)
yesterday_time = getYesterday()
print(yesterday_time)
now_date = yesterday_time.strftime('%Y-%m-%d')
final = []
final.append(['基金名称','今日累计净值','今日净增长'+now_date,'年初增长率','月初增长率','28号加倍','周四加倍','是否赎回'])
for i in range(1,len(fund_list)):
stock_json_str = get_fund_info(fund_list[i])
#stock_json = json.loads(stock_json_str)
tmp = []
tmp.append(stock_json_str['fS_name'][0].split('"')[1])
a,b = get_daily_prise(now_date,fund_list[i])
tmp.append(a)
tmp.append(b+'%')

print("年初和月初")
month,year = get_month_year_firstday()
#print( month,year)
month_price,rub = get_daily_prise(month,fund_list[i])
if month_price == "error":
month,year = get_month_year_firstday(error_month = 1)
month_price,rub = get_daily_prise(month,fund_list[i])
year_price,rub = get_daily_prise(year,fund_list[i])
print(year_price,month_price)
tmp.append(str((float(a)/float(year_price) - 1) * 100).ljust(5,"0")+"%")
tmp.append(str((float(a)/float(month_price) - 1) * 100).ljust(5,"0")+"%")
if((float(a)/float(year_price) - 1)<-0.05):
tmp.append("定投加三倍")
elif((float(a)/float(year_price) - 1)<-0.03):
tmp.append("定投加两倍")
elif((float(a)/float(year_price) - 1)<0.1):
tmp.append("不变")
else:
tmp.append("停止投入")


if((float(a)/float(month_price) - 1)<-0.05):
tmp.append("定投加三倍")
elif((float(a)/float(month_price) - 1)<-0.03):
tmp.append("定投加两倍")
elif((float(a)/float(month_price) - 1)<0.1):
tmp.append("不变")
else:
tmp.append("停止投入")


if((float(a)/float(month_price) - 1)>0.2):
tmp.append("赎回"+str((float(a)/float(month_price) - 1)-0.1))
elif((float(a)/float(month_price) - 1)>0.5):
tmp.append("赎回"+str((float(a)/float(month_price) - 1)-0.1))
else:
tmp.append("不必")
final.append(tmp)
df = pd.DataFrame(final,index=fund_list, columns=['基金名称','今日累计净值','今日净增长'+now_date,'年初增长率','月初增长率','28号加倍','周四加倍','是否赎回'])#生成6行4列位置
outputpath='fund.csv'
df.to_csv(outputpath,sep=',',index=False,header=False,encoding='utf_8_sig')
return(df)

def read_fund_list():
#read txt method one
f = open("fund_list.txt")
ans = []
ans.append("/")
line = f.readline()
ans.append(line.replace("\n",""))
while line:
line = f.readline()
ans.append(line.replace("\n",""))
f.close()
return list(filter(None, ans))

if __name__ == '__main__':
stock_json_str = get_fund_info("001811")
#stock_json = json.loads(stock_json_str)
# for i in stock_json_str.keys():
# print(i+":")
# print(stock_json_str[i])
# print("---------------------------------------------------------------------\n")

# text = get_realtime_anayls("001811")
#
# print(text_json)
# w782 comm lsjz


# timeStamp_to_time_13(1580728885284)
# is_week_lastday("2020-01-08")
df = make_csv()
conf = {'sender': 'qqnumber@qq.com', 'sender_name':'guo',
'receiver':['qqnumber@qq.com','qqnumber@qq.com'], 'password':'*********',
'server':'smtp.qq.com','port':465, 'receiver_name':['me','guest']}
df=pd.read_csv("fund.csv")
df.sort_values('月初增长率',inplace = False)
my_mail(df.to_html(),conf)
#print(get_realtime_anayls("001811"))

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