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Top Company Market Performance Data
Stock & Market Data
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About
This dataset offers detailed stock market data for some of the world's leading companies. It covers essential financial metrics, including opening and closing prices, trading volumes, and market capitalisation. The data spans from 2015 to 2024, serving as a valuable resource for analysing market trends and informing investment strategies.
Columns
- stock_symbol / ticker: The unique identifier for a company's stock. Examples include AAPL for Apple and MSFT for Microsoft.
- date: The specific calendar date of the stock market record.
- open: The price of the stock at the start of the trading day.
- high: The highest price the stock reached during that trading day.
- low: The lowest price the stock reached during that trading day.
- close: The price of the stock at the end of the trading day, adjusted for any stock splits.
- adj_close: The closing price after all applicable adjustments for stock splits and dividend distributions, adhering to Center for Research in Security Prices (CRSP) standards.
- volume: The total number of shares traded on that particular day.
Distribution
The dataset is typically provided in CSV format. The file,
top_10_stock_data.csv, has a size of 2.9 MB. It contains 25.5k valid records. The data is structured with individual rows for each stock's daily performance and columns for the various financial metrics. A sample file will be updated separately on the platform.Usage
This dataset is ideal for financial analysts, researchers, and data enthusiasts. It can be used for in-depth analysis of stock performance, forecasting market trends, developing investment strategies, and uncovering market insights across leading global companies.
Coverage
The data covers a worldwide geographic scope. The time period ranges from January 2015 to August 2024. The unit of analysis focuses on stock data for the top 10 global companies as of 2024.
License
CC0: Public Domain
Who Can Use It
Intended users include:
- Financial Analysts: For market trend analysis and investment strategy development.
- Researchers: For academic studies on market behaviour and corporate performance.
- Data Enthusiasts: For personal exploration, learning, and developing predictive models.
Dataset Name Suggestions
- Global Corporate Stock Trends 2015-2024
- Top Company Market Performance Data
- Leading Global Stocks Daily Metrics
- Enterprise Stock Market Analytics
- Major Company Stock Price History
Attributes
Original Data Source: Top Company Market Performance Data
QUALITY