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Historical AAPL Market Data

Stock & Market Data

Tags and Keywords

Apple

Aapl

Stock

Price

Finance

Trusted By
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Historical AAPL Market Data Dataset on Opendatabay data marketplace

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Free

About

This is a deep dive into the historical daily trading data for Apple Inc. (AAPL) stock, covering its journey from near inception through to mid-2022. The data chronicles the performance of the company renowned for achieving the highest market capitalization globally, being the first enterprise valued at 3 trillion USD. Given that Apple holds a significant 6% weight on the S&P 500—the highest of any company—its market movements are pivotal, and this dataset allows for robust analysis of how the market follows Apple’s trajectory. Users can leverage this information to address complex questions, such as evaluating current stock valuation or determining the company’s fair market value.

Columns

The dataset includes 7 essential financial columns:
  • Date: The trading date, formatted as YYYY-MM-DD.
  • Open: The stock's price at the market opening, measured in US Dollars ($). The mean open price is $14.5.
  • High: The highest recorded price during the trading day, measured in US Dollars ($). The mean high price is $14.6.
  • Low: The lowest recorded price during the trading day, measured in US Dollars ($). The mean low price is $14.3.
  • Close: The closing price of the stock, measured in US Dollars ($). The mean closing price is $14.5.
  • Adj Close: The adjusted closing price, measured in US Dollars ($), which accounts for corporate actions such as splits or dividends. The mean adjusted closing price is $13.8.
  • Volume: The total number of shares traded during the day. The mean volume is 331 million.

Distribution

The data product is contained within a CSV file named AAPL_stock.csv, approximately 704.86 kB in size. The structure consists of 7 columns and approximately 10.4 thousand valid daily records. The data quality is high, showing 100% validation with no missing or mismatched records across the core pricing metrics.

Usage

Potential applications include:
  • Developing quantitative models for predicting future stock behaviour.
  • Conducting historical back-testing for various trading strategies.
  • Performing financial research into the growth and valuation changes of mega-cap technology firms.
  • Analysing long-term investment returns and volatility measures.

Coverage

The data provides daily frequency records, tracing the stock price performance over a significant historical period: 11 December 1980 to 12 May 2022. Updates are expected quarterly. The scope is centred on the performance of AAPL stock, reflecting market activity relevant to the US exchanges.

License

CC0: Public Domain

Who Can Use It

  • Investment Managers: For historical due diligence and portfolio analysis.
  • Data Scientists/Engineers: For building and training machine learning models focused on financial forecasting.
  • Academic Researchers: For studying market efficiency and large capitalization stock history.
  • Independent Traders: For formulating discretionary trading decisions based on long-term trends.

Dataset Name Suggestions

  • AAPL Daily Stock Prices (1980–2022)
  • Apple Stock Price Evolution
  • Historical AAPL Market Data

Attributes

Original Data Source: Historical AAPL Market Data

Listing Stats

VIEWS

2

DOWNLOADS

0

LISTED

05/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format