项目作者: algonell

项目描述 :
Tel Aviv Stock Exchange Data Scrapper
高级语言: Jupyter Notebook
项目地址: git://github.com/algonell/TASE.git
创建时间: 2020-05-07T12:48:32Z
项目社区:https://github.com/algonell/TASE

开源协议:MIT License

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Tel Aviv Stock Exchange (TASE) Data Scrapper

Python utilities to scrape historical price data from TASE.
In addition, financial data of the TA-35 companies can be scraped to calculate the PE ratio of the index.

Prerequisites

pip install -r requirements.txt

ChromeDriver

  • Linux: copy to /usr/bin
  • Windows: place in the same directory as the script or add to PATH

Stocks

Stocks

ETF

ETF

Sample

Plot

TA-35 PE Ratio calculation

Use the following script to scrape the financial data of the TA-35 companies.

  1. cd TA35
  2. python scrapeData.py

You need a TASE account to download the data; the script will prompt you to log in via the browser.
After scraping the data, you can calculate the PE ratio of the TA-35 index by running the dataAnalysis.ipynb notebook.