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TuChart

(★ 799)

Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, tick data, high-frequency data and distribution of top shareholders for individual stocks. Tuchart是一个基于pyqt和echarts的股票视觉化应用。Tuchart 支持日／月线，分笔，高频数据，前十股东分笔的视觉化

파일 탐색기

최종 버전 다운로드 (.zip)

- tuchart-0.1.2.5-py2.py3-none-any.whl
- tuchart-0.1.2.5.tar.gz
- En_US.md
- New_Top_10.gif
- o7FfxD1s1g.gif
- Revised.gif
- sample.gif
- Screen Shot 2017-08-28 at 8.46.54 PM.png
- Screen Shot 2017-08-28 at 9.01.12 PM.png
- Screen Shot 2017-08-28 at 9.05.01 PM.png
- Screen Shot 2017-08-28 at 9.18.32 PM.png
- Screen Shot 2017-08-29 at 2.11.43 AM.png
- Screen Shot 2017-08-29 at 2.12.53 AM.png
- Screen Shot 2017-08-29 at 3.30.19 PM.png
- Screen Shot 2017-09-05 at 11.55.53 PM.png
- Screen Shot 2017-09-06 at 1.33.26 PM.png
- Screen Shot 2017-09-06 at 12.33.55 AM.png
- Screen Shot 2017-11-06 at 3.34.29 PM.png
- Screen Shot 2017-11-06 at 3.34.54 PM.png
- SLYJiZEBeD.gif
- Top_10.gif
- tuchart_path.png
- __init__.py
- __version__.py
- Graph.py
- layout.py
- main.py
- main.pyc
- - misc.xml
  - modules.xml
  - Tuchart3.0 -beta.iml
  - workspace.xml
- - Graph.cpython-36.pyc
  - layout.cpython-36.pyc
- class
- Graph.py
- layout.py
- main.py
- time
.gitattributes
LICENSE
MANIFEST
README.md
setup.py

🚀 설치 가이드

1. 코드 내려받기

git clone https://github.com/Seedarchangel/TuChart

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd TuChart

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Python

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Python 3 설치 시 'Add Python to PATH' 옵션을 꼭 체크하세요 (Windows).

pip install .

PyPI에 배포된 패키지를 바로 설치합니다. 소스 클론이 필요 없습니다.

python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요

파이썬 스크립트(또는 모듈)를 실행합니다.

✅ 에러 메시지 없이 실행되고 터미널에 안내 문구가 출력되면 정상입니다.

// repository documentation

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TuChart [![Downloads](http://pepy.tech/badge/tuchart)](http://pepy.tech/project/tuchart)
=================
TuChart is a visualization tool for the Chinese stock market, based on Tushare and Echarts.

[中文文档](https://github.com/Seedarchangel/TuChart/blob/master/Example_Graphs/En_US.md)

## Examples
#### Candlestick Charts
![notebook-0](https://github.com/Seedarchangel/TuChart/blob/master/Example_Graphs/Screen%20Shot%202017-08-29%20at%203.30.19%20PM.png?raw=true)
#### Tick Charts
![notebook-0](https://github.com/Seedarchangel/TuChart/blob/master/Example_Graphs/Screen%20Shot%202017-08-29%20at%202.12.53%20AM.png)
#### Major Shareholders
![notebook-0](https://github.com/Seedarchangel/TuChart/blob/master/Example_Graphs/New_Top_10.gif?raw=true)
#### Supports dragging and zooming
![notebook-0](https://github.com/Seedarchangel/TuChart/blob/master/Example_Graphs/sample.gif)

## Setup Instructions
Install all necessary dependencies

```pip install pyecharts==0.2.0```

```pip install tushare==0.8.6```

To install Tuchart, enter
```pip install tuchart```
in your terminal

#### Notice：For best plotting experience，please download the latest version = 0.1.2.7

then, under your tuchart directory, e.g:

```/user/anaconda/lib/python2.7/site-packages/tuchart```

run```python main.py```

The exact path of tuchart in your directory can be located by```pip show tuchart```:
![notebook-0](https://github.com/Seedarchangel/TuChart/blob/master/Example_Graphs/tuchart_path.png)
add```/tuchart```to pinpoint the tuchart directory.

Right click to choose the name of stock and type of data you would like to plot. Then, press the green arrow button to plot. Due to the size constraints, it is recommended to plot fewer than 5 graphs at the same time.

![Manual](https://github.com/Seedarchangel/TuChart/blob/master/Example_Graphs/SLYJiZEBeD.gif)

## Tuchart Currently Supports:
* Raw Stock Data
  * Daily average
  * Weekly average
  * Monthly average
  * 15 minute average
  * 30 minute average
* Restoration Data
  * Daily average
  * Weekly average
  * Monthly average
  * 15 minute average
  * 30 minute average
* Tick data of individual stocks
* High frequency data within one day

High frequency data is calculated from tick data of your chosen day. Algorithm: [如何用TICK数据生成分钟线数据](https://mp.weixin.qq.com/s?__biz=MzAwOTgzMDk5Ng==&mid=2650833965&idx=1&sn=e3e74639c068e7a1e41a35bb1decd313&chksm=80adb316b7da3a00de4191d4da6a5a7cab60fa3d282876fcf0b4d6dd8fc234528a316f5aa50a&mpshare=1&scene=1&srcid=090514fJTxEaB4CbnBI85x60&pass_ticket=qA7MkXEYQz2xA0uHwCD8eF43XfYsQMFMTyDT0euW7YFDRhLeVPR8dAxIaK6gxprk#rd)
* Distribution of Top Shareholders

Tuchart will return data for top shareholders within your chosen year.
![Manual](https://github.com/Seedarchangel/TuChart/blob/master/Example_Graphs/Screen%20Shot%202017-09-06%20at%2012.33.55%20AM.png?raw=true)
## Updates
0.1.2.5
* Supports plotting for High frequency data 
  * 1 minute average
  * 5 minute average
  * 15 minute average
  * 30 minute average
* Supports plotting of top shareholders within a year.

0.1.2.4
* Fixed dependency issues when user has PYQT4 Layer

0.1.2.3
* Added script to save stock list every 12 hours
* Increased stability
* Auto-resize image according to size of the app
* Added market indexes

## Contact:
Email: rzli2@illinois.edu