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E-commerce and Cloud Stock Metrics
Stock & Market Data
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About
This dataset provides daily stock price information for Amazon.com, Inc., a prominent multinational technology company. Amazon specialises in e-commerce, cloud computing through Amazon Web Services (AWS), digital streaming, and artificial intelligence. Founded by Jeff Bezos in 1994, Amazon has evolved into one of the world's most valuable companies, significantly impacting online retail and cloud services. As of March 2025, Amazon boasted a market capitalisation of $2.249 Trillion USD, ranking it as the world's 4th most valuable company by market cap. This dataset is designed to offer insights into Amazon's stock performance over a significant historical period.
Columns
The dataset includes the following columns:
- date: The specific date for which the stock data is recorded. The date range spans from 3 January 2000 to 19 February 2025.
- open: Represents the opening price of the stock on a given day. Prices range from 0.30 to 239, with a mean of 44.7.
- high: Denotes the highest price reached by the stock during that trading day. Values range from 0.31 to 243, with a mean of 45.3.
- low: Indicates the lowest price for the stock during that trading day. Prices range from 0.28 to 238, with a mean of 44.2.
- close: The price of the stock at market close, adjusted for any stock splits. Values range from 0.30 to 242, with a mean of 44.7.
- adj_close: The closing price of the stock, adjusted for both splits and dividend distributions, adhering to CRSP standards. This column has the same range and mean as the 'close' column.
- volume: The total number of shares traded on that particular day. Volumes range from 15.0 million to 2.09 billion, with a mean of 118 million.
Distribution
This dataset is provided in CSV format. It contains 7 columns and consists of 6321 valid records for each column, covering daily stock price data. The file size is 792.49 kB. The dataset is expected to be updated quarterly.
Usage
This dataset is ideal for various applications, including:
- Financial Market Analysis: Tracking and analysing Amazon's stock performance and trends over time.
- Investment Strategy Development: Aiding in the creation and back-testing of investment strategies.
- Algorithmic Trading: Developing and training algorithms for automated trading systems.
- Econometric Modelling: Researching the relationship between Amazon's stock and broader economic indicators.
- Educational Purposes: Providing real-world data for students and researchers in finance, data science, and AI.
Coverage
The dataset covers Amazon.com, Inc., a multinational company. The time period spans daily stock price data from 2000 to 2025, specifically from 3 January 2000 to 19 February 2025.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly useful for:
- Investors: To make informed decisions about buying, selling, or holding Amazon stock.
- Financial Analysts: For market trend analysis, performance benchmarking, and reporting.
- Data Scientists and Machine Learning Engineers: To build predictive models for stock price movements or market behaviour.
- Academic Researchers: For studies on market dynamics, company valuation, and the impact of technology on stock performance.
- Software Developers: To integrate historical stock data into financial applications or tools.
Dataset Name Suggestions
- Amazon Daily Stock Performance 2000-2025
- AMZN Historical Stock Data
- Amazon Share Price Evolution
- E-commerce and Cloud Stock Metrics
- Amazon Financial Data Archive
Attributes
Original Data Source: E-commerce and Cloud Stock Metrics
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