适用于A股,一款简单、纯粹的交易日历工具包。来自[西海岸量化工作室]。
Project description
a_trade_calendar
一款简单、纯粹,适用于A股的交易日历工具包。来自[西海岸量化工作室]。
安装
全新安装
pip install a-trade-calendar
升级安装
pip install --upgrade a-trade-calendar
使用
声明:日期范围从2005.1.1期 到2025-08-15 日止。 将来日期后续会保持更新,日期将到会自动提示更新。
1、获取A股最新交易日日期
import a_trade_calendar
latest_trade_dt = a_trade_calendar.get_latest_trade_date()
print(latest_trade_dt)
2、判断某个日期是否是A股交易日
import a_trade_calendar
dt = '2023-09-01'
is_trade_date = a_trade_calendar.is_trade_date(dt)
print(is_trade_date)
3、获取A股前面n个交易日对应的日期
import a_trade_calendar
dt = '2023-09-01'
trade_date = a_trade_calendar.get_pre_trade_date(dt, 3)
print(trade_date)
4、获取A股后面n个交易日对应的日期
import a_trade_calendar
dt = '2023-09-01'
trade_date = a_trade_calendar.get_next_trade_date(dt, 3)
print(trade_date)
5、获取A股两个日期相隔的交易日天数,不包括 from_dt 和 to_dt
import a_trade_calendar
from_dt = '2023-08-21'
to_dt = '2023-09-01'
trade_days = a_trade_calendar.get_trade_days_interval(from_dt, to_dt)
print(trade_days)
6、获取A股两个日期相隔的交易日天数,包括 from_dt 和 to_dt
import a_trade_calendar
from_dt = '2023-08-21'
to_dt = '2023-09-01'
trade_days = a_trade_calendar.get_trade_count(from_dt, to_dt)
print(trade_days)
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