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Apple Historical Stock Prices Dataset
Stock & Market Data
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About
This dataset provides a historical record of Apple Inc. stock prices, a leading American multinational technology company known for consumer electronics, software, and online services. The data spans a significant period, offering insights into market trends and stock performance over several decades. It is suitable for various analytical purposes, including financial modelling and investment strategy development.
Columns
- Date: The specific trading date for the recorded stock information.
- Day: The day of the week corresponding to the trading date.
- DateTime Count: A measure indicating the number of entries within specific date ranges.
- Open: The opening price of the stock on a given trading day.
- High: The highest price reached by the stock during the trading day.
- Low: The lowest price reached by the stock during the trading day.
- Close: The closing price of the stock at the end of the trading day.
- Adj Close: The adjusted closing price, which factors in dividends and stock splits.
- Volume: The total number of shares traded on a given day, representing the amount of stocks exchanged.
Distribution
The dataset is provided in a CSV format, specifically as 'Apple.csv', with a file size of 705.32 kB. It consists of 7 columns and contains over 10,400 valid records. There are no missing or mismatched data points reported across the key price and volume fields, ensuring data integrity.
Usage
This dataset is ideal for:
- Investing analysis and strategy formulation.
- Developing and testing Recurrent Neural Network (RNN) models for stock price prediction.
- Performing business analysis related to market trends and company valuation.
- Historical financial research and academic studies.
Coverage
The data covers the period from 12 December 1980 to 20 May 2022. Geographically, Apple Inc. is headquartered in Cupertino, California, United States, and the stock data reflects its global market presence. The dataset maintains a high level of data availability, with 100% valid entries for all key metrics.
License
CC0: Public Domain
Who Can Use It
- Investors and Financial Analysts: To assess historical stock performance and inform investment decisions.
- Data Scientists and Machine Learning Engineers: For building and training predictive models, particularly time-series analysis with RNNs.
- Researchers and Academics: To study long-term market behaviour, financial economics, and company growth.
- Students: As a practical resource for learning about financial data, data analysis, and predictive modelling.
Dataset Name Suggestions
- Apple Historical Stock Prices Dataset
- AAPL Daily Stock Market Data
- Apple Inc. Stock Values (1980-2022)
- Historical Apple Share Price Data
Attributes
Original Data Source:Apple Historical Stock Prices Dataset
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