This dataset provides comprehensive historical stock price data for several Moroccan banks, covering the period from 2005 to 2024. The dataset includes daily stock prices and key financial metrics, which can be used to analyze market trends, price fluctuations, and the financial health of the Moroccan banking sector over time.

Data Overview:

The dataset contains stock data for the following banks:

• ATW (Attijariwafa Bank)
• BCI (Banque Centrale Populaire)
• BCP (Banque Populaire)
• BOA (Bank of Africa)
• CDM (Crédit du Maroc)
• CIH (Crédit Immobilier et Hôtelier)

Each bank’s data is structured with the following columns:

• Date: The date of the recorded stock data.
• Open: The opening stock price for the day.
• High: The highest stock price during the trading day.
• Low: The lowest stock price during the trading day.
• Price: The closing stock price for the day.
• Volume: The volume of shares traded.
• Change %: The daily percentage change in the stock price.

Potential Uses:

Stock Price Analysis: This dataset allows users to explore the historical performance of Moroccan bank stocks. Investors and analysts can track price trends and market behavior over nearly two decades.
Financial Modeling: Researchers and data scientists can use the data to build financial models, forecast stock prices, and analyze volatility.
Comparative Analysis: By comparing the performance of multiple banks, users can gain insights into how various institutions in the Moroccan banking sector have fared over time.

How to Use:

This dataset is ideal for time series analysis, regression modeling, and financial forecasting. The columns are structured for easy integration into machine learning models or statistical analysis frameworks like Python's pandas or R.

Acknowledgements :

Investing.com - Stock Market Quotes & Financial News
Casablanca Stock Exchange

Feel free to explore the trends and correlations between stock prices, trading volumes, and other economic indicators to draw meaningful insights