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Daily Apple Stock Performance Analytics
Stock & Market Data
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Free
About
The dataset is structured as daily historical market data, likely in a CSV file format, and has a size of 520.07 kB. It contains seven columns and approximately 10,900 valid entries or records across most fields. There are no missing values for Date, Price, Open, High, Low, or Change %. Only a single value is missing for Volume. The data is well-formed, with no mismatched entries.
Usage
This dataset is suitable for various applications, including:
- Financial modelling and forecasting: Developing models to predict future stock price movements.
- Historical performance analysis: Examining Apple's stock behaviour across different timeframes.
- Algorithmic trading strategy development: Testing and refining automated trading algorithms.
- Academic research: Studying market efficiency, volatility, and long-term investment returns.
- Market trend identification: Spotting patterns and trends in Apple's stock performance over time.
Coverage
The dataset spans a notable time range from December 1980 to March 2024. The earliest recorded date within the dataset is 12th December 1980, and the latest date is 27th March 2024. The data pertains specifically to Apple Inc. (AAPL) and includes daily trading information for this single entity.
License
CC0: Public Domain
Who Can Use It
- Financial analysts and economists: To conduct in-depth market research and produce reports on Apple's stock performance.
- Data scientists and machine learning engineers: For developing and training predictive models related to stock prices.
- Individual and institutional investors: To inform investment strategies and decisions based on historical data.
- Students and researchers: For educational purposes or academic studies on financial markets and specific company performance.
Dataset Name Suggestions
- Apple (AAPL) Daily Stock Data (1980-2024)
- AAPL Stock Market History
- Apple Inc. Historical Stock Prices
- Daily Apple Stock Performance Analytics
Attributes
Original Data Source: Daily Apple Stock Performance Analytics
QUALITY