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Historical US Market Index Values
Stock & Market Data
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About
Historical financial data capturing the performance of major US stock indices, specifically the Dow Jones, Nasdaq, and S&P 500, offers a robust view of market trends over several decades. Tracking daily price values from the late 1970s through to 2017, this collection serves as a foundational resource for understanding long-term economic cycles and market volatility in the United States.
Columns
- Date: The calendar date recorded for the stock price entry (e.g., 02 September 1977).
- Value: The closing numerical value or price of the specific stock index on the recorded date.
Distribution
The data is provided in CSV format. The specific file for the Dow Jones index is approximately 39.85 kB in size. The structure consists of 2,082 valid rows or records per index file, with 100% validity and no missing or mismatched values.
Usage
- Financial Modelling: Developing predictive models for future market performance.
- Economic Analysis: Studying historical market reactions to economic events over a 30-year period.
- Algorithm Training: Training machine learning algorithms for time-series forecasting.
- Educational Research: Teaching students about stock market behaviour and trends.
Coverage
- Geographic Scope: United States (US Stock Markets).
- Time Range: 02 September 1977 to 29 August 2017.
- Subject Scope: Major market indices including Dow Jones, Nasdaq, and S&P 500.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: For back-testing investment strategies.
- Economists: For analysing long-term market health and economic indicators.
- Data Scientists: For practising time-series analysis and forecasting techniques.
- Students/Researchers: For academic projects regarding financial history.
Dataset Name Suggestions
- 30-Year US Major Stock Indices History
- Dow Jones, Nasdaq, and S&P 500 Daily Prices (1977-2017)
- Historical US Market Index Values
- Long-Term US Stock Market Trends
Attributes
Original Data Source: Historical US Market Index Values
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