semvec/pypi-packages huggingface dataset:
SwiftLibrary 1.0.4
Swift Rubika is a simple and fast Rubika Messenger library built for you
License: MIT
Requires Python: ~=3.7
Keywords: Swiftlibrary,messenger,python2,python,python3,api,self,swiftlibrary,Rubika,SwiftRubika,swiftrubika,Swift Library,rubika,bot,robot,library,rubikalib,rubikalibrary,rubika.ir,librarySwiftRubika,m.rubika.ir

.. image:: https://s2.uupload.ir/files/images_(1)_9ax.png
    :target: https://rubika.ir/SwiftScript
    :alt: Logo Rubika


OWNER INFO
=============

Rubika Info:

* `Source Channel Rubika <https://rubika.ir/SwiftRubika>`_
* `Library Channel Rubika <https://rubika.ir/SwiftScript>`_

Subscribe to the channels to know about the library and sources updates.

Installing SwiftLibrary from PyPI
=================================

.. code-block:: python3

    pip install SwiftLibrary

If you have a problem with the installation, subscribe to the channel.

How to import the SwiftLibrary
===============================

.. code-block:: python3

    from SwiftLibrary import Client

    bot = Client('Auth')

Example for sending a message
=============================

.. code-block:: python3

    from SwiftLibrary import Client

    bot = Client('Auth Acc')

    chat_id = 'guid Channel or Group or PV'

    bot.send_message(chat_id,'text')

Documentation
=============

Coming Soon...
vnpy-ifind 1.0.2
iFinD datafeed for VeighNa quant trading framework.
License: MIT
Keywords: quant,quantitative,investment,trading,algotrading

# VeighNa框架的同花顺iFinD数据服务接口

<p align="center">
  <img src ="https://vnpy.oss-cn-shanghai.aliyuncs.com/vnpy-logo.png"/>
</p>

<p align="center">
    <img src ="https://img.shields.io/badge/version-1.0.2-blueviolet.svg"/>
    <img src ="https://img.shields.io/badge/platform-windows-yellow.svg"/>
    <img src ="https://img.shields.io/badge/python-3.7|3.8|3.9|3.10-blue.svg" />
    <img src ="https://img.shields.io/github/license/vnpy/vnpy.svg?color=orange"/>
</p>

## 说明

基于同花顺iFinDPy接口的1.10.21.4版本开发，支持以下中国金融市场的K线数据（盘后更新）：

* 期货和期货期权：
  * CFFEX：中国金融期货交易所
  * SHFE：上海期货交易所
  * DCE：大连商品交易所
  * CZCE：郑州商品交易所
* 股票和ETF期权：
  * SSE：上海证券交易所
  * SZSE：深圳证券交易所

注意：需要购买相应的数据服务权限才能获得iFinDPy包，可以通过[该页面](http://ft.10jqka.com.cn/)购买。


## 安装

安装环境推荐基于3.0.0版本以上的【[**VeighNa Studio**](https://www.vnpy.com)】。

直接使用pip命令：

```
pip install vnpy_ifind
```


或者下载源代码后，解压后在cmd中运行：

```
pip install .
```