{"repo":"phamdinhkhanh/vnquant","free":true,"listed":false,"github":"https://github.com/phamdinhkhanh/vnquant","clone":"git clone https://github.com/phamdinhkhanh/vnquant.git","description":"VietNam Data Stock Market Price","language":"Python","stars":473,"topics":["stock","pandas","stock-market","python","visualization","vietnamese-stock-price","trading"],"license":null,"category":"trading","readme_excerpt":"vnquant package 1. Introduction This project offers comprehensive financial information and advanced visualization tools for the Vietnam stock market to researchers. Specifically, it provides extensive data, including historical prices, finacial, business, and cashflow reports for individual or multiple symbols over the same period. This enables investors to conduct in-depth quantitative analyses and forecasting. Additionally, the available stock prices can be utilized to create visualizations with advanced metrics such as Bollinger Bands and Relative Strength Index (RSI), aiding in identifying optimal buying and selling points. 2. Setting: 2.1. Setup on local machine This project is in developing process, So it is only distributed on github channel. To install requiring you open the command line and type the below commands: you must install git command line in your computer to run above command. 2.2. Google colab To use package in google colab, you have to mount point to google drive folder first and setup the same as in local machine. Reference to google colab - vnquant example for detail. 3. Visualization: (0.0.2) from version 0.0.2 vnquant enable to you visualize stock price from any symbols code at source cafe or vnd or pandas data frame which have OHLC type. OHLC type meaning that your data frame columns is enough ['open', 'high', 'low', 'close'] list. Below is general syntax of visualization function supported on vnquant package. Arguments data : is pandas data frame o","default_branch":null,"files":null,"tree":[],"storefront":"/r/phamdinhkhanh","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/phamdinhkhanh/vnquant/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}