如何用python代码判断一段范围内股票最高点

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python+聚宽 统计A股市场个股在某时间段的最高价、最低价及其时间 原创
2019-10-12 09:20:50

开拖拉机的大宝 

码龄4年

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使用工具pycharm + 聚宽数据源，统计A股市场个股在某时间段的最高价、最低价及其时间，并打印excel表格输出

from jqdatasdk import *
import pandas as pd
import logging
import sys
logger = logging.getLogger("logger")
logger.setLevel(logging.INFO)

# 聚宽数据账户名和密码设置
auth(\'username\',\'password\')

#获取A股列表，包括代号，名称，上市退市时间等。
security = get_all_securities(types=[], date=None)
pd2 = get_all_securities([\'stock\'])


# 获取股票代号
stocks = list(get_all_securities([\'stock\']).index)

# 获取股票名称
stocknames = pd2[\'display_name\']

start_date = \'2015-01-01\'
end_date = \'2018-12-31\'
def get_stocks_high_low(start_date,end_date):
# 新建表，表头列
# 为："idx","stockcode","stockname","maxvalue","maxtime","lowvalue","lowtime"
result = pd.DataFrame(columns=["idx", "stockcode", "stockname", "maxvalue", "maxtime", "lowvalue", "lowtime"])
for i in range(0,stocks.__len__()-1):
pd01 = get_price(stocks[i], start_date, end_date, frequency=\'daily\',
fields=None, skip_paused=False,fq=\'pre\', count=None)
result=result.append(pd.DataFrame(\'idx\':[i],\'stockcode\':[stocks[i]],\'stockname\':
[stocknames[i]],\'maxvalue\':[pd01[\'high\'].max()],\'maxtime\':
[pd01[\'high\'].idxmax()],\'lowvalue\': [pd01[\'low\'].min()], \'lowtime\':
[pd01[\'low\'].idxmin()]),ignore_index=True)

result.to_csv("stock_max_min.csv",encoding = \'utf-8\', index = True)
logger.warning("执行完毕！