Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

ambroseikpele/afrimarket

Domaine:

socioeconomic

Type de record:

software
Créateur:
amb
Hôte:
Download African market data from [kwayisi](afx.kwayisi.org) Afrimarket is a Python package that provides stock information of any company in nine of the stock exchanges available in Africa. Afrimarket gives you access to information such as the price, trading results, and even competitors of the company you choose. ## Quick Start Install the package using Pip: ```python pip install afrimarket ``` This example shows you how to get the listed companies and bottom losers in the Nigerian Stock Exchange ```python import afrimarket as afm # Get exchange stock market information markets= afm.markets ngx=afm.Exchange(market=markets['Nigerian Stock Exchange']) listed_companies= ngx.get_listed_companies() bottom_losers= ngx.get_bottom_losers() print(listed_companies) print(bottom_losers) ``` Here's a code snippet for getting a company's price and growth valuation in a specific exchange using the ticker. ```python import afrimarket as afm # Get exchange stock market information markets= afm.markets # Get the stock information of a company in a market tlw = afm.Stock(ticker='TLW', market= markets['Ghana Stock Exchange']) price= tlw.get_price() growth_valuation= tlw.get_growth_and_valuation() print(price) print(growth_valuation) ``` For more information, you should check out our full documentation guide.

Visit

github.com

Similaires

ZainabBee24/afrimarket-risk-analysisambroseikpele/Nigeria-Market-Sentiment-Analyzer

ZainabBee24/afrimarket-risk-analysis

A data-driven risk analysis of AfriMarket sellers using the Dataverse Africa July 2024 challenge dat

ambroseikpele/Nigeria-Market-Sentiment-Analyzer

This projects web scrapes news from Nigeria Most Read Business Newspapers and classify their sentime