Opendatabay APP

Apple Inc. Daily Financial Data

Stock & Market Data

Tags and Keywords

Stock

Aapl

Apple

Trading

Financial

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Apple Inc. Daily Financial Data Dataset on Opendatabay data marketplace

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Free

About

This product provides daily stock data for Apple Inc. (AAPL), tracing the company’s trajectory as one of the world's most influential entities. It offers key financial metrics essential for understanding market trends, evaluating historical growth, and predicting future fluctuations. The data is highly valuable for advanced financial analysis, the development of machine learning models, and complex predictive modeling efforts.

Columns

The data is structured across seven vital features capturing daily trading activity:
  • Date: The calendar date associated with the trading day, formatted as YYYY-MM-DD.
  • Open: The price of the stock at the initiation of the trading day.
  • High: The peak price the stock attained during the day’s trading session.
  • Low: The lowest price the stock dropped to during the day’s trading session.
  • Close: The final price of the stock recorded at the conclusion of the trading day.
  • Adj Close: The adjusted closing price, a crucial figure that accounts for corporate actions like dividend payments and stock splits.
  • Volume: The total number of shares that were traded throughout the trading day.

Distribution

The dataset is available in a CSV format, typically contained within a file size of approximately 1.27 MB. It features 7 columns of data. The record count is high, with over 11.1 thousand valid daily entries available. Quality checks indicate a perfect 100% validity rate, with no records reported as missing or mismatched across the measured variables, ensuring reliability for analytical tasks.

Usage

Ideal applications include:
  • Financial Market Forecasting: Training algorithms to predict future stock movements and volatility.
  • Historical Performance Analysis: Examining Apple's multi-decade growth and stability in the market.
  • Quantitative Research: Studying the impact of external events or corporate actions on stock valuation.
  • Back-testing Strategies: Simulating trading strategies against historical performance data.

Coverage

The data covers the full history of Apple stock trading, spanning from 12 December 1980 up to 6 February 2025, with some contextual notes suggesting availability up to March 2025. The data focuses exclusively on the daily trading activities of Apple Inc. (AAPL). The expected update schedule for this information is weekly.

License

CC0: Public Domain

Who Can Use It

  • Financial Analysts: For market performance evaluation and trend identification.
  • Data Scientists/Machine Learning Engineers: For building and testing stock prediction models.
  • Academic Researchers: For studying economic cycles and corporate finance history.
  • Individual Investors: For detailed historical due diligence and market understanding.

Dataset Name Suggestions

  • Apple Daily Stock History (1980-2025)
  • AAPL Full Trading Record
  • Historical Apple Stock Metrics
  • Apple Inc. Daily Financial Data

Attributes

Original Data Source: Apple Inc. Daily Financial Data

Listing Stats

VIEWS

5

DOWNLOADS

1

LISTED

02/11/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in ZIP Format