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Global Corporate Stock Performance Data
Stock & Market Data
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About
Contains twenty years of stock market data for several multinational corporations (MNCs), collected by scraping Yahoo Finance. This historical financial data is valuable for analysing stock performance, identifying market trends, and developing forecasting models. It serves as a practical resource for financial analysis, investment strategy testing, and data visualisation projects.
Columns
- Date: The specific date of the stock record.
- High: The highest market price of the stock on that date.
- Low: The lowest market price of the stock on that date.
- Open: The opening market price of the stock on that date.
- Close: The closing market price of the stock on that date.
- Volume: The total number of shares traded on that date.
- Adj Close: The adjusted closing price, which accounts for dividends and stock splits.
- Company: The name of the multinational corporation.
Distribution
The dataset is distributed in CSV format. The sample file for Adamis Pharmaceuticals Corporation contains 5,031 records and 8 columns.
Usage
Ideal applications for this dataset include stock performance analysis, time series forecasting, and exploratory data analysis. It can be used for developing investment strategies, data visualisation to track historical trends, and building predictive models for financial markets.
Coverage
- Geographic: The dataset includes multinational corporations from various regions, including companies based in the US and India.
- Time Range: The data spans a 20-year period, specifically from 24 January 2001 to 22 January 2021.
- Companies Covered: The dataset features stock data for major MNCs such as Alphabet Inc., Amazon.com, Inc., Microsoft Corporation, Tata Consultancy Services Limited, Reliance Industries Limited, and The Walt Disney Company, among others.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: Can perform exploratory data analysis and create visualisations to uncover stock market trends.
- Financial Analysts: Can use the data for historical performance analysis and to backtest investment strategies.
- Students and Researchers: Can use this dataset for academic projects related to finance, investing, and time series analysis.
- Machine Learning Engineers: Can build and train forecasting models to predict future stock prices.
Dataset Name Suggestions
- 20-Year MNC Stock Market History
- Multinational Corporations Stock Prices (2001-2021)
- Global Corporate Stock Performance Data
- Historical Stock Data for Major MNCs
Attributes
Original Data Source: Global Corporate Stock Performance Data
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