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bevennyamande/Zimbabwe-Stock-Exchange-Daily-Pricesheets

Domaine:

socioeconomic

Type de record:

dataset
Créateur:
bev
Hôte:
A basic scrapper for stock exchanges # Zimbabwe-Stock-Exchange-Daily-Pricesheets This project is dedicated to building and maintaining a **comprehensive, daily-updated dataset of trade activity from the Zimbabwe Stock Exchange (ZSE)**. It serves as an automated scraper that collects and organizes daily pricesheet information, creating a valuable historical record of market movements. --- ## Features * **Daily Data Collection:** Automatically scrapes and compiles daily pricesheet data from the ZSE website. * **Structured Output:** Generates organized datasets in easily digestible CSV and Excel formats. * **Public API Access:** The accumulated dataset is made accessible via a dedicated API for broader usage: * ZExchange API on RapidAPI --- ## Purpose & Goals * **Open Data Initiative:** To create an openly accessible historical dataset of Zimbabwe Stock Exchange activity, empowering: * **Data Analysts & Data Scientists:** For market research, trend analysis, and model development. * **Researchers:** For academic studies on emerging markets. * **Learning & Development:** To serve as a practical learning project for Python programming, data scraping techniques, and exploring new libraries. * **Automation:** To automate the routine and time-consuming task of manually collecting ZSE daily data. --- ## Data Output The scraper generates daily files in the following directories: * `csv-daily-pricesheets/`: Contains daily price sheets in **CSV** format. * `xls-daily-price-sheets/`: Contains daily price sheets in **Excel (XLSX)** format. Each file includes key metrics such as **Company Name, Opening Price, Closing Price, and Volume Traded**. --- ## Disclaimer The information provided by this project is for **informational and educational purposes only** and does not constitute financial, investment, or trading advice. Users should conduct their own research and consult with qualified financial professionals before making any investment decisions. --- ## Contribution Contributions to this project …

Visit

github.com

Licenses

CC0-1.0

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