Metadata-Version: 2.1
Name: TradeTime
Version: 1.0.2
Summary: Trade With TradeTime Like DateTime
Home-page: https://github.com/Sand-Quant/TradeTime
Author: SandQuant
Author-email: data@sandquant.com
License: UNKNOWN
Download-URL: https://pypi.org/project/TradeTime/
Description: # TradeTime
        
        
        ![](https://img.shields.io/badge/Version-1.0-red)  ![](https://img.shields.io/badge/python-3.5,3.6,3.7,3.8,3.9-blue)
        
        ![](https://img.shields.io/badge/pandas-0b3558)  ![](https://img.shields.io/badge/sandinvest-0b3558)  
        
        **TradeTime**是针对交易开发的日期时间工具，在计算上和`python`标准库`datetime`完美结合，可以灵活对日期时间进行运算操作。
        
        - 支持和`datetime`结合使用；
        - 目前**只支持A股**交易日期和交易时间，可自行导入交易日历或任意工作日历；
        - 当前A股交易时间为：09:30-11:30为早盘，11:30-13:00为盘中休市，13:00-15:00为午盘；
        - 具体使用，可查看[说明文档](https://tradetime.readthedocs.io/en/latest/)；
        
        <br>
        
        **TradeTime** is a date and time tool developed for trading. It is computationally integrated with the `Python` standard library `datetime`, allowing flexible operation of date and time.
        
        - Combination with `datetime`;
        - Currently, only Chinese trading datetime is supported, but you are allowed to import your own trading calendar or any working calendar;
        - For details, see the [documentation](https://tradetime.readthedocs.io/en/latest/);
        
        <br>
        
        ## 安装 Install
        
        ```
        pip install tradetime
        ```
        
        <br>
        
        ## 导入 Import
        
        ```python
        # import datetime and tradetime
        import datetime
        import tradetime
        ```
        
        <br>
        
        ## 快速使用 Quick Start！
        
        - 获取今日交易日期
        
        ```python
        >>> tradetime.date()
        date(year=2022, month=5, day=19, freq='D')
        ```
        
        - 获取昨日交易日期
        
        ```python
        >>> tradetime.date() - 1
        date(year=2022, month=5, day=18, freq='D')
        ```
        
        - 获取当前周频的结束日期
        
        ```python
        >>> tradetime.date().close('W') 
        date(year=2022, month=5, day=20, freq='W')
        ```
        
        - 获取上周周频结束日期
        
        ```python
        >>> tradetime.date().close('W') - 1
        date(year=2022, month=5, day=13, freq='W')
        ```
        
        - 格式化
        
        ```python
        >>> str(tradetime.date().close('W') + 1) 
        '2022-05-27'
        ```
        
        <br>
        
        ## 链接 Link
        
        - Home: https://doc.sandquant.com
        - GitHub: https://github.com/Sand-Quant/TradeTime
        - Doc: https://tradetime.readthedocs.io/en/latest
        - PYPI: https://pypi.org/project/TradeTime
        
        <br>
        
        **Powered By** [<img src="http://www.sandquant.com/icon/sandquant_icon_pure.png" width="35px" height="35px" />](http://doc.sandquant.com) 
        
        ---
        
        <div align='center'>
        	<img src="http://www.sandquant.com/icon/qrcode_500px.png" width="150px" height="150px" />
        </div>
        <div align='center'>
            <strong>SandQuant公众号</strong>
        </div>
        
Keywords: Trade,Datetime
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: Chinese (Simplified)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.5
Description-Content-Type: text/markdown
