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AMZN Historical Market Data
Stock & Market Data
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About
Provides detailed historical stock price information for Amazon over a five-year period. This financial data product includes essential daily trading metrics, making it suitable for informed data analysis, the backtesting of various trading strategies, and the prediction of future stock price trends. The data is part of the broader collection of FAANG stock records.
Columns
The dataset features seven critical metrics related to daily stock trading:
- Date: The date of the trading day. The coverage ranges from 28 March 2016 to 26 March 2021.
- Open: The stock price recorded at the beginning of the trading day. Prices span roughly £580.15 to £3547.00.
- High: The maximum stock price achieved during the trading day. The range is approximately £584.75 to £3552.25.
- Low: The minimum stock price recorded during the trading day. Values typically fall between £575.56 and £3486.69.
- Close: The stock price recorded at the end of the trading day. Prices generally range from £579.87 to £3531.45.
- Adj Close: The adjusted closing price.
- Volume: The total quantity of shares traded during the trading day, ranging from 881 thousand up to 16.6 million.
Distribution
The data is delivered in a CSV format, packaged as 'Amazon_Historical_StockPrice2.csv' (125.25 kB in size). It contains a total of 1260 records, distributed across seven columns. The data exhibits high quality, with all records being valid and zero recorded instances of missing or mismatched data points.
Usage
Ideal applications include developing machine learning models for financial forecasting, simulating market movements for risk assessment, and conducting rigorous quantitative research. The dataset is particularly useful for modelling and predicting stock price movements and performance.
Coverage
This product covers the daily trading activity for Amazon stock spanning five years, specifically from 28 March 2016 through to 26 March 2021. Geographically, this represents data scraped from the Yahoo Finance platform for the publicly traded shares. Updates are expected on a quarterly basis.
License
CC0: Public Domain
Who Can Use It
- Data scientists: For training predictive models and machine learning algorithms focused on financial markets.
- Investors and Financial Analysts: For conducting historical market research, identifying trends, and refining investment strategies.
- Academic Researchers: For studying market efficiency and specific large-cap stock behaviour.
Dataset Name Suggestions
- Amazon Stock Price History 2016–2021
- AMZN Historical Market Data
- 5-Year Amazon Stock Trading Metrics
Attributes
Original Data Source: AMZN Historical Market Data
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