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Historical Apple Price Data for Deep Learning
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About
Providing daily historical stock price data for Apple Inc. (AAPL) traded on the NASDAQ market over a ten-year period. This dataset offers precise metrics crucial for sophisticated financial analysis, machine learning applications, and time series investigations. It is particularly valuable for developing and testing predictive models, supporting the community's need for high-quality, long-term market information.
Columns
This dataset is structured with seven key columns:
- Date: Specifies the observation day, recorded in Month-day-Year (M-d-Y) format.
- Price: Represents the closing price, which is the final price agreed upon by a buyer and a seller on that day.
- Open: Indicates the stock price recorded at the beginning of the market day.
- High: Defines the peak price achieved by the stock during the trading day.
- Low: Defines the minimum price at which the stock traded during the day.
- Vol. (Volume): Shows the total number of shares traded during the specified period.
- Change %: Measures the percentage difference between the current day’s price and the last trade price recorded on the previous market day.
Distribution
The data is delivered in a CSV file format, containing 2539 valid daily records. Key variables, including Price, Open, High, and Low, demonstrate exceptional data quality, with 100% valid entries and zero instances of mismatched or missing data. The average Price observed across the decade is approximately 52.2, with a standard deviation of 42.2. Price fluctuations range from a low of 13.9 to a high of 182.01.
Usage
This resource is ideally suited for several analytical tasks:
- Conducting in-depth Time Series Analysis and financial forecasting.
- Developing and training advanced predictive models, such as those utilising LSTM techniques.
- Supporting Deep Learning initiatives focused on market volatility and pattern recognition.
- Back-testing trading strategies across a significant historical window.
Coverage
The dataset focuses exclusively on the daily trading history of Apple Inc. (AAPL). The temporal scope spans exactly ten years, starting on 27 February 2012 and concluding on 25 March 2022, providing 2539 daily observations.
License
CC0: Public Domain
Who Can Use It
- Quantitative Analysts: For calculating historical volatility, examining price distributions, and performing statistical modelling.
- Machine Learning Engineers: Ideal for training models to recognise complex patterns in market open, close, high, and low metrics over time.
- Individual Investors: Utilising the data to conduct thorough personal investment research and market comparison studies.
Dataset Name Suggestions
- Apple Inc. (AAPL) Ten-Year NASDAQ Price History
- Daily NASDAQ Stock Metrics for AAPL (2012–2022)
- Historical Apple Price Data for Deep Learning
Attributes
Original Data Source: Historical Apple Price Data for Deep Learning
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