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Adobe Stock Market Time-Series Analysis
Stock & Market Data
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About
An extensive collection of daily stock market data for Adobe Inc., an American multinational computer software company. This tabular dataset provides a detailed historical record of Adobe's stock performance, suitable for financial analysis, investment strategy backtesting, and predictive modelling. It is particularly useful for beginners and intermediate users interested in time-series analysis and financial markets.
Columns
- Date: The specific date of the stock market record, from 13 August 1986 to 20 May 2022.
- Open: The price at which the stock first traded upon the opening of an exchange on a given day.
- High: The highest price at which the stock traded during a given day.
- Low: The lowest price at which the stock traded during a given day.
- Close: The price at which the stock last traded upon the closing of an exchange on a given day.
- Adj Close: The closing price after adjustments for all applicable splits and dividend distributions.
- Volume: The total number of shares traded for the day.
Distribution
The data is provided in a single CSV file named
Adobe.csv with a size of 614.36 kB. It contains 9,017 rows and 7 columns, with no missing or mismatched values. The dataset is static and is not expected to be updated.Usage
This dataset is ideal for a variety of financial applications. It can be used for time-series analysis to forecast future stock prices, for developing and testing investment strategies, and for academic research into market behaviour. It is also a valuable resource for training and evaluating machine learning models, such as Recurrent Neural Networks (RNNs), for financial prediction.
Coverage
The dataset covers the historical stock performance of Adobe Inc. from 13 August 1986 to 20 May 2022. The data is specific to Adobe and does not have a broader geographical or demographic scope beyond the company's stock trading records.
License
CC BY-NC-SA 4.0
Who Can Use It
- Data Scientists and Analysts: For conducting financial analysis, building predictive models, and exploring stock market trends.
- Students and Academics: As a practical dataset for projects and research related to finance, economics, and computer science.
- Individual Investors and Hobbyists: To backtest trading algorithms and gain insights into the historical performance of a major technology stock.
- Machine Learning Engineers: For training and validating time-series forecasting models, particularly RNNs.
Dataset Name Suggestions
- Adobe Inc. Historical Stock Prices (1986-2022)
- Daily Adobe (ADBE) Stock Data
- Adobe Stock Market Time-Series Analysis
- Historical Financial Data: Adobe Inc.
- Adobe Stock Performance Since 1986
Attributes
Original Data Source: Adobe Stock Market Time-Series Analysis
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