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AAPL, GOOG, META Stock Performance History
Stock & Market Data
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About
Historical stock price data for major technology companies, including Apple, Google, and Meta (formerly Facebook), is available from 2017 onwards. Technology companies have become a dominant force in economic growth, significantly shaping consumer behaviour and the financial markets. These firms are pivotal in how people communicate, consume information, and interact. This data captures the daily stock prices and trading volumes for these key players, making it ideal for analysing the market performance of leading companies in the technology, consumer electronics, and internet content sectors.
Columns
- Date: The specific date of the stock price record.
- Open: The opening price of the stock for the day.
- High: The highest price the stock reached during the day.
- Low: The lowest price the stock reached during the day.
- Close: The closing price of the stock for the day.
- Adj Close: The closing price adjusted for dividends and stock splits.
- Volume: The number of shares traded during the day.
Distribution
The data is provided in three separate CSV files, one for each company. The sample file, AAPL.csv, has a size of 91.42 kB and contains 1258 records across 7 columns.
Usage
This dataset is well-suited for a variety of financial analysis tasks. Ideal applications include:
- Time series analysis of stock performance.
- Exploratory data analysis to identify market trends.
- Building predictive models for stock price movements.
- Comparative analysis of major technology company stocks.
- Financial market research and back-testing investment strategies.
Coverage
- Geographic: The data covers US-based companies listed on the Nasdaq exchange, with corporate headquarters in locations such as Cupertino, CA, Mountain View, CA, and Menlo Park, CA.
- Time Range: The dataset spans from 7 September 2017 to 6 September 2022.
- Demographic: This dataset does not contain demographic information; it focuses on financial market data for publicly traded corporations.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: For market trend analysis and company valuation.
- Data Scientists: For building and testing predictive time-series models.
- Investors: To conduct historical performance analysis and inform investment decisions.
- Students and Researchers: For academic projects related to finance, technology markets, and data analysis.
Dataset Name Suggestions
- Historical Tech Stock Prices (Apple, Google, Meta) 2017-2022
- Daily Stock Market Data for Major Tech Companies
- AAPL, GOOG, META Stock Performance History
- US Tech Giants Stock Data
Attributes
Original Data Source: AAPL, GOOG, META Stock Performance History
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