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2005-01-04起，每年末将自动更新。
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)
7、获取A股两个日期相隔的交易日列表，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(from_dt, to_dt)
print(trade_days)
1 maintainer
Release files for a-trade-calendar 2028.4.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| a_trade_calendar-2028.4.14-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Release files / a_trade_calendar-2028.4.14-py2.py3-none-any.whl
| Download URL | a_trade_calendar-2028.4.14-py2.py3-none-any.whl |
|---|---|
| Size | 21.1 kB |
| Tags | Python 2 Python 3 |
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