目录
一、前言：
对于我这种不会炒股，又想发财的人，但是又没有财路的人来说，只能跟着朋友随便买买股票，看下能不能实现一夜暴富的白日梦了。现在都还幻想着能打中一个像东鹏特饮一样的新股。。。。
好了。就说这么多。主要是因为我这个人懒，懒得整天盯着股价，所以就写了一个程序。
这个程序主要功能：
时刻获取东方财富指定股票的股价，如果这个股票股价超过了一定的金额、或者低于一定金额就发邮件告诉我。看下是否需要卖出还是继续坚持。
二、分析与实行
东方财富有几种股票，港、深、沪、科创板等等。我只买了深沪两市的股票，所以这篇文章我就写了深沪两市的取数情况。不过其他的应该也是一样的。
1、单个股票分析（格力电器为例）
首先我们在东方财富复制某个股票的URL出来，或者直接在电脑上面搜索东方财富，可以进入PC端的东方财富页面。找到格力电器的股票页面，我们可以看到他的股价是51.16。
然后我们按F12，搜索目前的价格。能够找到这个接口。我们到接口url如下，有长又臭，其实里面的参数不一定是必要的参数。所以我们可以对一些参数进行增删来确定最终的url。
原始URL：
http://push2.eastmoney.com/api/qt/stock/trends2/get?fields1=f1,f2,f3,f4,f5,f6,f7,f8,f9,f10,f11,f12,f13&fields2=f51,f52,f53,f54,f55,f56,f57,f58&ut=fa5fd1943c7b386f172d6893dbfba10b&ndays=1&iscr=0&secid=0.000651&cb=jQuery112404481331582479424_1626763858500&_=1626763858528
删改之后URL：
http://push2.eastmoney.com/api/qt/stock/trends2/get?secid=0.000651&fields1=f1,f2,f3,f4,f5&fields2=f51,f52,f53,f54,f55发现这个接口使用一个列表记录了格力电器所有的股价，并且有时间等等的记录。那就好办了，我们只要使用python的某些模块去解析出列表最新的一条数据，就是我们要的最新股价了。
jQuery112404481331582479424_1626763858500({"rc":0,"rt":10,"svr":2887255695,
"lt":1,"full":1,"data":{"code":"000651","market":0,"type":6,"status":0,
"name":"格力电器","decimal":2,"preSettlement":0.0,"preClose":51.48,
"beticks":"33300|34200|54000|34200|41400|46800|54000","trendsTotal":241,
"time":1626763854,"kind":1,"prePrice":51.48,"trends":["2021-07-20 09:30,51.35,51.35,51.35,51.35,2766,14203410.00,51.350","2021-07-20 09:31,51.22,51.39,51.43,51.00,13884,71180454.00,51.282","2021-07-20
中间省略了很多.....
14:49,51.17,51.22,51.22,51.17,1751,8964539.00,51.169","2021-07-20 14:50,51.22,51.27,51.28,51.22,2213,11345325.00,51.170","2021-07-20 14:51,51.28,51.22,51.28,51.22,1820,9328544.00,51.170"]}});
2、深沪两市对比
经过多个深沪市的股票url对比，可以发现不同的是secid。深市的是【0.股票代码】，沪市的是【1.股票代码】，那么我们就可以通过这两个编码来区分深市和沪市了。
（深）格力电器：http://push2.eastmoney.com/api/qt/stock/trends2/get?secid=0.000651&fields1=f1,f2,f3,f4,f5&fields2=f51,f52,f53,f54,f55
（沪）士兰微： http://push2.eastmoney.com/api/qt/stock/trends2/get?secid=1.600460&fields1=f1,f2,f3,f4,f5&fields2=f51,f52,f53,f54,f55三、完整代码（python3）
#!/usr/bin/python3
import datetime
import os
import requests
import json,time
import importlib
import sys
importlib.reload(sys)
# 发送邮件
import smtplib
from email.mime.text import MIMEText
#设置服务器所需信息
#QQ邮箱服务器地址
mail_host = 'smtp.qq.com'
#QQ用户名
mail_user = '[email protected]'
#密码(部分邮箱为授权码)
mail_pass = 'xxxxx'
#邮件发送方邮箱地址
sender = '[email protected]'
#邮件接受方邮箱地址，注意需要[]包裹，这意味着你可以写多个邮件地址群发
receivers = ['[email protected]']
class SendEmail():
def __init__(self):
pass
def sendmail(self, title, con):
#设置email信息：邮件内容设置、邮件主题、发送方信息、接受方信息
message = MIMEText(con,'plain','utf-8')
message['Subject'] = title
message['From'] = sender
message['To'] = receivers[0]
#登录并发送邮件：连接到服务器、登录到服务器
try:
smtpObj = smtplib.SMTP()
smtpObj.connect(mail_host,25)
smtpObj.login(mail_user,mail_pass)
#发送
smtpObj.sendmail(
sender,receivers,message.as_string())
#退出
smtpObj.quit()
print('success')
except smtplib.SMTPException as e:
print('error',e) #打印错误
GS_API = "https://push2.eastmoney.com/api/qt/stock/details"
TODAY = time.strftime('%Y-%m-%d',time.localtime())
class GuPiao(object):
def __init__(self, flag, gp_name, gp_code, buy_amount, alarm_min, alarm_max):
self.gp_code = gp_code
self.gp_name = gp_name
self.buy_amount = buy_amount
self.alarm_min = alarm_min
self.alarm_max = alarm_max
# 实例化发送邮件服务
self.sm = SendEmail()
self.title = '东方财富'
if flag == "s":
self.flag = 0
else:
self.flag = 1
def fg_file(self, con, fg="r"):
filename = "%s.txt"%self.gp_code
if not os.path.isfile(filename):
with open(filename, 'w') as f:
f.write("0")
if fg == 'w':
with open(filename, "w") as f:
f.write(con)
return
else:
with open(filename, "r") as f:
fg_lock = f.read().strip()
return fg_lock
def run(self):
url = "%s/get?secid=%s.%s&fields1=f1,f2,f3,f4,f5&fields2=f51,f52,f53,f54,f55"%(GS_API,self.flag, self.gp_code)
r = requests.get(url)
details = json.loads(r.text)['data']['details']
# print(details)
# 获取罪行的股票值
now_time = str(details[-1]).split(',')[0]
new_price = str(details[-1]).split(',')[1]
con = "[%s %s] [%s] 最新股价: %s。"%(TODAY, now_time, self.gp_name, new_price)
print(con)
# 获取上一次报价，避免邮件一直发
last_price = self.fg_file("0", "r")
new_price = float(new_price)
if new_price >= self.alarm_max and last_price == "0":
context = '%s,大于卖出阈值[%s],可考虑卖出！'%(con, alarm_max)
# 发送邮件
self.sm.sendmail(self.title,context)
print("%s,%s"%(self.title,context))
self.fg_file("1", "w")
elif new_price <= self.alarm_min and last_price == "0":
context = '%s,小于关注的阈值[%s],请留意是否需要卖出！'%(con, alarm_min)
self.sm.sendmail(self.title,context)
print("%s,%s"%(self.title,context))
self.fg_file("1", "w")
elif self.alarm_min < new_price < self.alarm_max and last_price == "1":
self.fg_file("0", "w")
if __name__ == '__main__':
while True :
# 获取当前时间，看是否再股市开始期间
morn_time = datetime.datetime.strptime(str(datetime.datetime.now().date()) + '9:30', '%Y-%m-%d%H:%M')
morn_time1 = datetime.datetime.strptime(str(datetime.datetime.now().date()) + '11:30', '%Y-%m-%d%H:%M')
after_time = datetime.datetime.strptime(str(datetime.datetime.now().date()) + '13:00', '%Y-%m-%d%H:%M')
after_time1 = datetime.datetime.strptime(str(datetime.datetime.now().date()) + '15:00', '%Y-%m-%d%H:%M')
n_time = datetime.datetime.now()
# 属于股市的时间才去获取
if (n_time > morn_time and n_time < morn_time1) or (n_time > after_time and n_time <= after_time1):
# 股市标识 s：深市 h：沪市， 股票标识， 买入额度，最低告警阈值，最高告警阈值
gp_list = [
['s', '格力电器', '000651', 49.83, 48.00, 52.00],
['s', '科大讯飞', '002230', 60.32, 58.00, 70.00],
['h', '士兰微', '60046', 56.72, 54.00, 63.00],
]
for gupiao in gp_list:
flag = gupiao[0]
gp_name = gupiao[1]
gp_code = gupiao[2]
buy_amount = gupiao[3]
alarm_min = gupiao[4]
alarm_max = gupiao[5]
obgupiao = GuPiao(flag, gp_name, gp_code, buy_amount, alarm_min, alarm_max)
obgupiao.run()
else:
print("非股市开市时间，不查询结果！")
# 10秒钟取一次数据
time.sleep(10)