| Name | a-trade-calendar JSON |
| Version |
2026.2.13.1
JSON |
| download |
| home_page | |
| Summary | 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]。 |
| upload_time | 2024-02-17 09:42:07 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | |
| license | BSD 2-Clause License |
| keywords |
a股
日历
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 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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