获取下股票分时数据，分时均价下线，分时成交额等，用于量化t0交易条件还是很不错了的。

代码如下：

#!/usr/bin/env python
# -*- coding: utf-8 -*-import requests
import time
import json
import pandas as pddef fenshishuju_dfcf(daima):if daima[:2] == "sh":lsbl = '1.'+daima[2:]else:lsbl = '0.' + daima[2:]wangzhi = "http://push2his.eastmoney.com/api/qt/stock/trends2/get?&fields1=f1%2Cf2%2Cf3%2Cf4%2Cf5%2Cf6%2Cf7%2Cf8%2Cf9" \"%2Cf10%2Cf11%2Cf12%2Cf13&fields2=f51%2Cf52%2Cf53%2Cf54%2Cf55%2Cf56%2Cf57%2Cf58&" \"ut=7eea3edcaed734bea9cbfc24409ed989&ndays=1&iscr=0&secid="+lsbl+ \"&_=1643253749790"+str(time.time)resp = requests.get(wangzhi, timeout=6)# print (resp) #打印请求结果的状态码data = json.loads(resp.text)shuju = {'日期时间': [], '最新价': [], '均价': [], '成交额': []}for k in data['data']['trends']:lsbl = k.split(",")shuju['日期时间'].append(lsbl[0])shuju['最新价'].append(lsbl[2])shuju['均价'].append(lsbl[-1])shuju['成交额'].append(lsbl[-2])shuju = pd.DataFrame(shuju)print(shuju)return shujuif __name__ == '__main__':while 1:fenshishuju_dfcf('sh603102')time.sleep(3)

输出类容如下：

                 日期时间    最新价      均价         成交额

0    2022-02-10 09:30  56.89  56.890  2264222.00

1    2022-02-10 09:31  56.56  56.841  4630597.00

2    2022-02-10 09:32  56.12  56.624  4401588.00

3    2022-02-10 09:33  56.69  56.595  3208860.00

4    2022-02-10 09:34  56.59  56.604  2413617.00

..                ...    ...     ...         ...

145  2022-02-10 13:25  58.00  57.363  1622300.00

146  2022-02-10 13:26  57.82  57.365   625338.00

147  2022-02-10 13:27  57.77  57.366   485362.00

148  2022-02-10 13:28  57.77  57.366   150270.00

149  2022-02-10 13:29  57.81  57.366   156062.00

程序化交易系统文档： http://jinxin168.gitee.io/xcxh_bangzhu/

w ：XCXH_JY