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Daily AAPL Share Performance Dataset
Stock & Market Data
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Free
About
This dataset provides detailed historical and projected stock data for Apple (AAPL), covering the period from 1980 to 2025. It is specifically designed for applications involving LSTM (Long Short-Term Memory) networks and Deep Reinforcement Learning for stock analysis and prediction. The dataset includes daily records from 2010 to 2025, offering a rich resource for various analytical tasks in finance and data science.
Columns
- Date: The specific date of the record, formatted as YYYY-MM-DD.
- Open: The opening price of the Apple stock for that trading day.
- High: The highest price reached by the stock during the day.
- Low: The lowest price of the stock recorded for the day.
- Close: The closing price of the stock at the end of the trading day.
- Adj Close: The adjusted closing price, which factors in corporate actions like dividends and stock splits.
- Volume: The total number of shares traded on that particular day.
Distribution
The dataset is provided in a CSV format (
aapl_us_2025.csv) and has a size of approximately 624.95 KB. It contains a total of 10.2k valid records across all columns, with no mismatched or missing entries reported (0% for both). The dataset is expected to be updated on a weekly basis, ensuring its relevance.Usage
This dataset is highly suitable for:
- Stock price prediction using advanced machine learning models like LSTM.
- Developing and testing Deep Reinforcement Learning algorithms for automated trading strategies.
- Performing financial analysis and market trend identification.
- Feature engineering for predictive models in the finance sector.
- Academic research in data analytics and quantitative finance.
Coverage
The dataset focuses on Apple (AAPL) stock data. The overall scope spans from 1980 to 2025, with daily records specifically available from 2010 to 2025. The earliest recorded date is 7 September 1984, and the latest is 17 January 2025. This provides a substantial historical and future-looking time series for analysis.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers for building and training stock prediction models.
- Financial Analysts and Quantitative Researchers for market analysis and strategy development.
- Students and Academics studying financial markets, time series analysis, and deep learning applications.
- Algorithmic Traders seeking data to backtest and refine their automated trading systems.
Dataset Name Suggestions
- Apple AAPL Stock Data 1980-2025
- Historical Apple Stock Prices for ML
- Daily AAPL Share Performance Dataset
- Apple Stock Prediction Data (LSTM & DRL)
Attributes
Original Data Source: Daily AAPL Share Performance Dataset
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