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US Stocks and Commodities Daily Prices
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About
a detailed perspective on the US stock market and related financial instruments, featuring daily data points from January 2, 2020, up to February 2, 2024. The collection is highly valuable for various financial analyses, market research, and predictive modelling efforts. It captures the trends and movements within the financial markets during this specific period, providing insight into the influence of major global events. The data includes prices and volumes for major stocks, indices, commodities, and cryptocurrencies, presented across 39 distinct columns.
Columns
The dataset, titled
US_Stock_Data.csv, contains daily metrics for numerous assets. Key columns include:Date: The recorded date (1013 unique values).- Commodities (Price and Volume): Metrics for Natural Gas (average price 3.73), Crude Oil (average price 69.9), Copper (average price 3.73), Platinum (average price 978), Silver (average price 22.8), and Gold.
- Cryptocurrencies (Price and Volume): Data for Bitcoin (average price 29.2k) and Ethereum (average price 1.73k), with detailed 5-minute interval data noted for Bitcoin.
- Stock Market Indices (Price and Volume): Data for the S&P 500 index (average price 3.99k) and the Nasdaq 100 index (average price 13k).
- Individual Stocks (Price and Volume): Prices and volumes for major US companies, including Apple (average price 142), Tesla (average price 209), Microsoft (average price 266), Google (average price 109), Nvidia (average price 220), Berkshire Hathaway (average price 425k), Netflix (average price 422), Amazon (average price 137), and Meta (average price 252).
Distribution
The data is provided in a structured CSV file format, facilitating easy integration into analytical tools. The file size is 309.23 kB. The dataset contains 39 columns and typically 1013 records, capturing daily financial data. While most columns are complete, certain volume data fields, such as those for Natural Gas, Crude Oil, Copper, Platinum, and Silver, contain a small percentage of missing values. The structure is designed to enable straightforward analysis, moving from simple trend observation to advanced predictive modelling.
Usage
This collection is exceptionally adaptable and can be applied to several financial research purposes:
- Market Analysis: Use the data to track performance, evaluate volatility, and study correlations between distinct financial instruments.
- Risk Assessment: Analyse the effect of commodity price shifts on associated stock prices to better evaluate market risks.
- Educational Use: It functions as a powerful resource for teaching fundamental market trends, asset correlations, and the documented effects of major global events on financial markets.
Coverage
The data focuses on the US financial markets. The time frame for the daily recordings spans from January 2, 2020, through to February 2, 2024. The coverage includes a wide spectrum of assets: major US stock indices, key individual equities, principal commodities, and leading cryptocurrencies.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
Intended users include financial analysts who require inputs for predictive models, academic researchers investigating market volatility, and traders seeking insights into daily price and volume fluctuations of US equities and digital assets. Educators will find it useful for illustrating real-world market dynamics and trends.
Dataset Name Suggestions
- Daily US Financial Market Data 2020-2024
- US Stocks and Commodities Daily Prices
- Financial Instruments Daily Trends
- 2020-2024 Multi-Asset Financial Data
Attributes
Original Data Source: US Stocks and Commodities Daily Prices
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