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AMZN Stock Time Series Data
Stock & Market Data
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About
The stock price history for Amazon.com, Inc. (AMZN) spanning over two decades. This data product tracks the daily performance of AMZN stock from its initial public offering phase up until mid-2022, offering essential metrics for financial analysis, investment strategy development, and studying long-term market trends. The data is expected to be updated on a weekly basis.
Columns
- Date: The specific day the trade occurred.
- Opening price: The price at which the stock started trading for the day.
- High price of the day: The maximum price achieved by the stock during the trading day.
- Lowest price of the day: The minimum price achieved by the stock during the trading day.
- Closing price when market close: The final recorded price of the stock when the market concluded trading.
- Adjusted price after market close: The stock price adjusted for corporate actions such as splits or dividends.
- Volume: The total number of shares traded during that day.
Distribution
The dataset is structured as daily time series analysis data, identified as AMZN.csv, with a file size of approximately 456.15 kB. It contains seven columns and includes 6304 valid trading days recorded. Crucially for analysis, there are no missing or mismatched values across the columns. Price data exhibits significant variation, for instance, the minimum closing price recorded is 1.40 while the maximum is 3.73 thousand. Daily trading volume ranges from 487 thousand up to 104 million.
Usage
This data is ideal for quantitative financial modelling and forecasting. It can be used for back-testing various trading algorithms and assessing investment strategies. Researchers can employ the historical records to study market volatility, price distribution, and the long-term growth trajectory of one of the world's largest technology firms.
Coverage
This data covers the daily stock performance of Amazon.com, Inc. (AMZN) specifically from 15 May 1997 through to 1 June 2022. The scope is focused on the United States financial market trading activity of this single corporation.
License
CC0: Public Domain
Who Can Use It
- Quantitative Analysts: For building and refining algorithmic trading models.
- Investors: Seeking verifiable historical performance benchmarks and long-term trend analysis.
- Data Scientists: Performing time series analysis and predictive modelling experiments.
- Academics/Economists: Researching the evolution of technology company valuations and market cycles.
Dataset Name Suggestions
- AMZN Stock Price History (1997–2022)
- Amazon Daily Stock Performance Metrics
- AMZN Stock Time Series Data
Attributes
Original Data Source: AMZN Stock Time Series Data
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