Historical Amazon Stock Analysis Dataset
Stock & Market Data
Tags and Keywords
Trusted By




"No reviews yet"
Free
About
This dataset offers a detailed look at Amazon.com, Inc. (AMZN) stock performance, capturing data from January 2000 to January 2024. It provides essential insights into the online retail giant's market activities, covering operations in North America, international markets, and Amazon Web Services (AWS). The data is valuable for various analytical tasks, from understanding historical stock trends to forecasting future movements for a major player in e-commerce and cloud computing.
Columns
- Date: Represents the specific date for which the stock data is recorded, ranging from 3 January 2000 to 19 January 2024.
- Open: Indicates the opening price of Amazon stock on a given date. Values range from 0.30 to 187.20, with a mean of 38.2 and standard deviation of 51.8.
- High: Shows the highest price Amazon stock reached on a given date. Values range from 0.31 to 188.65, with a mean of 38.6 and standard deviation of 52.4.
- Low: Represents the lowest price Amazon stock fell to on a given date. Values range from 0.28 to 184.84, with a mean of 37.7 and standard deviation of 51.1.
- Close: Denotes the closing price of Amazon stock on a given date. Values range from 0.30 to 186.57, with a mean of 38.2 and standard deviation of 51.8.
- Volume: Details the total number of Amazon shares traded on a given date. Values range from 17.6 million to 2.09 billion, with a mean of 122 million and standard deviation of 98.2 million.
Distribution
The dataset is provided in CSV format, available as
AMZN_Stock_Updated_V2.csv
, and has a file size of 591.45 kB. It contains 7 columns and 6050 valid records for each column, indicating a consistent structure with no missing or mismatched entries. The data spans a significant period, making it suitable for time series analysis.Usage
This dataset is ideal for financial modelling, stock market prediction, investment research, and educational purposes. It can be used for training machine learning models like LSTM and RNN for forecasting, performing detailed time series analysis, and studying the impact of market events on Amazon's stock performance.
Coverage
The data covers Amazon.com, Inc., a company operating in North America, international markets, and through its Amazon Web Services (AWS) segment. The time range for the stock data extends from 3 January 2000 to 19 January 2024. AWS, a significant part of Amazon's operations, serves a broad client base including start-ups, enterprises, government agencies, and academic institutions globally.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: To assess Amazon's historical performance, identify trends, and inform investment recommendations.
- Investors: To make informed decisions regarding buying, holding, or selling Amazon stock.
- Data Scientists/Machine Learning Engineers: For developing and testing predictive models for stock prices.
- Academic Researchers: For studies on market dynamics, corporate valuation, and the impact of technological innovation on stock markets.
- Students: For learning about financial markets, data analysis, and time series forecasting.
Dataset Name Suggestions
- Amazon AMZN Daily Stock Data 2000-2024
- Amazon Stock Market Performance History
- AMZN Stock Prices and Volume (2000-2024)
- Amazon.com Inc. Financial Market Data
- Historical Amazon Stock Analysis Dataset
Attributes
Original Data Source: Historical Amazon Stock Analysis Dataset