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Time Series Analysis of Apple Stock
Stock & Market Data
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About
Data detailing Apple (AAPL) stock price movements for the period 2015 to 2020, specifically tailored for financial analysis and time series forecasting. The data provides daily trading metrics, including opening, closing, highest, and lowest prices, alongside adjusted figures, trading volume, and specific corporate actions.
Columns
The data contains 15 columns, capturing key aspects of daily stock performance:
- date: The specific date of the recorded stock metrics.
- symbol: Identifier for the stock, specifically Apple Stock (AAPL).
- close: The closing price of the stock.
- high: The highest price recorded during the trading day.
- low: The lowest price recorded during the trading day.
- open: The opening price of the stock.
- volume: The total volume of stock traded.
- adjClose: The closing stock price adjusted for corporate attributes or actions.
- adjHigh: The highest stock price adjusted for corporate attributes or actions.
- adjLow: The lowest stock price adjusted for corporate attributes or actions.
- adjOpen: The opening stock price adjusted for corporate attributes or actions.
- adjVolume: The trading volume adjusted for corporate attributes or actions.
- divCash: The amount of cash dividend paid.
- splitFactor: Details related to any stock split event.
Distribution
The data is provided in a tabular structure, available as an AAPL.csv file, which is approximately 192.24 kB in size. The dataset consists of 1258 valid records. All 15 columns across all records are valid, with zero missing or mismatched entries noted in the source material. The expected frequency of updates for this data product is quarterly.
Usage
This data product is ideal for several applications, particularly those involving predictive modelling. Uses include developing models for stock price prediction, conducting deep time series analysis, studying stock market volatility over a five-year period, and performing financial research using data science toolkits like Python and the pandas library.
Coverage
The data spans nearly five years, covering stock trading dates from 27 May 2015 through to 22 May 2020. The scope is restricted to the stock of Apple USA, identified by the symbol AAPL.
License
CC0: Public Domain
Who Can Use It
Intended users include financial modellers and data scientists focused on forecasting; quantitative researchers seeking historical market metrics; students undertaking projects in financial engineering or economic time series analysis; and developers constructing data pipelines or algorithmic trading systems.
Dataset Name Suggestions
- AAPL Historical Prices 2015-2020
- Time Series Analysis of Apple Stock
- Daily Apple Stock Prices for Forecasting
Attributes
Original Data Source: Time Series Analysis of Apple Stock
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