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Daily Historical Metrics for Apple Inc. Stock

Stock & Market Data

Tags and Keywords

Apple

Stock

Trading

Historical

Prices

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Daily Historical Metrics for Apple Inc. Stock Dataset on Opendatabay data marketplace

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About

Apple Inc. Historical Stock Data offers detailed daily records pertaining to the stock prices and trading volumes of Apple Inc. over the preceding year. It is a highly valuable resource designed for individuals keen on analysing stock price trends, executing advanced time-series analysis, and constructing accurate predictive models focused on stock market behaviour. The dataset is structured numerically, making it ideal for regression and machine learning applications.

Columns

  • Date: Specifies the date of the particular stock data record in the YYYY-MM-DD format.
  • Adj Close: Represents the adjusted closing price of the stock, a crucial metric which accounts for corporate actions such as dividends and stock splits.
  • Close: The final transactional price of the stock recorded at the cessation of the trading day.
  • High: The peak price attained by the stock during the course of the trading day.
  • Low: The lowest price recorded for the stock during the trading day.
  • Open: The starting price of the stock when the market opened for trading on that specific day.
  • Volume: The aggregate quantity of shares exchanged or traded throughout the day.

Distribution

The data is available in a tabular structure, contained within the file apple_stock.csv, which measures 31.52 kB. It consists of 7 columns and holds 252 valid daily records. The structure is sequential, suitable for time-series methods, and the data is entirely numerical, supporting robust predictive modelling efforts. Importantly, there are no mismatched or missing values across the 252 records for any of the key price or volume features.

Usage

This dataset is perfectly suited for several analytical tasks, including:
  • Analysing historical stock price trends and momentum.
  • Implementing sophisticated time-series analysis and forecasting models.
  • Developing and testing predictive models aimed at stock market behaviour.
  • General investing research and strategy backtesting.

Coverage

The data covers daily stock metrics specifically for Apple Inc. (AAPL). The temporal scope spans approximately one year, running from 2 November 2023 through to 1 November 2024. The expected update frequency for this specific product is "Never," indicating it is a static, fixed historical snapshot.

License

CC0: Public Domain

Who Can Use It

  • Financial Analysts: To study past volatility and price patterns of Apple stock.
  • Data Scientists: For training and validating quantitative models using sequential data.
  • Students/Academics: As clean, ready-to-use time-series data for educational projects and research into market dynamics.
  • Quants: Individuals focused on regression and building algorithms for trading indicators.

Dataset Name Suggestions

  • Apple Inc. Daily Trading Dynamics Historical Data
  • AAPL Stock Price Records (2023-2024)
  • Daily Historical Metrics for Apple Inc. Stock
  • Stock Price Trends and Volume Data for Apple

Attributes

Listing Stats

VIEWS

4

DOWNLOADS

1

LISTED

17/10/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in CSV Format