S&P 500 Long-Term Financial Data
Stock & Market Data
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About
Presents historical stock price data for the S&P 500 index, spanning nearly a century of market activity. The data is derived from Yahoo Finance and includes daily trading metrics. It is highly suitable for statistical analysis, particularly Exploratory Data Analysis (EDA) and advanced Time Series Analysis, enabling users to examine long-term financial trends and volatility.
Columns
- Date: The trading date, functioning as the primary time index.
- Open: The share price recorded at the beginning of the trading day.
- High: The highest share price reached during the trading day.
- Low: The lowest share price reached during the trading day.
- Close: The closing share price recorded at the end of the trading day.
- Volume: The total volume of shares traded during the period.
- Dividends: Metrics pertaining to dividends distributed.
- Stock Splits: Information regarding any stock splits made.
Distribution
The dataset is provided in CSV format under the filename
snp500_history.csv
. It contains 8 distinct columns and approximately 24,000 valid records. The file size is 2.68 MB.Usage
This dataset is an essential resource for modelling market behaviour and historical performance. Ideal applications include:
- Developing and back-testing quantitative trading strategies.
- Performing detailed EDA on market volatility and price movements.
- Conducting high-level Time Series Analysis and forecasting S&P 500 performance.
- Academic research into financial crises and long-term economic cycles.
Coverage
The data covers the S&P 500 index, reflecting major US market performance. The time range is extensive, beginning on 30 December 1927 and concluding on 2 June 2023. The data is generally complete across this nearly 96-year period, with metrics available for all 8 listed features.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Machine Learning Engineers: For building predictive models for stock movements.
- Financial Analysts and Investors: For historical research, trend identification, and fundamental valuation.
- Academic Researchers and Students: For educational projects or studies focusing on financial history and econometrics.
Dataset Name Suggestions
- S&P 500 Daily Historical Index Prices
- US Stock Market Index History (1927–2023)
- S&P 500 Long-Term Financial Data
- Daily S&P 500 Price and Volume
Attributes
Original Data Source: S&P 500 Long-Term Financial Data