Opendatabay APP

S&P 100 Historical Daily Stock Prices

Stock & Market Data

Tags and Keywords

Stocks

Finance

Market

Trading

Prices

Trusted By
Trusted by company1Trusted by company2Trusted by company3
S&P 100 Historical Daily Stock Prices Dataset on Opendatabay data marketplace

"No reviews yet"

Free

About

Daily close price variations for 101 major US companies provide a rich resource for investors, analysts, and researchers tracking performance and volatility. These constituent companies, selected based on market capitalization and liquidity, span major sectors including technology, finance, and healthcare. Examining the extensive history of daily price fluctuations allows users to uncover patterns, identify market dynamics, and formulate data-driven investment or quantitative strategies. It is a vital tool for studying the evolution of stock prices over a significant timeframe.

Columns

The data structure features 102 columns, detailing the daily closing price for each of the 101 constituent companies plus the trading date.
  • Date: The trading date, providing the timeline for all observations (e.g., 2000-07-13).
  • AAPL: Daily closing prices for Apple.
  • VZ: Daily closing prices for Verizon Communications.
  • WBA: Daily closing prices for Walgreens Boots Alliance.
  • WFC: Daily closing prices for Wells Fargo.
  • WMT: Daily closing prices for Walmart.
  • XOM: Daily closing prices for Exxon Mobil Corp.
  • ABT: Daily closing prices for Abbott Laboratories.
  • ADBE: Daily closing prices for Adobe Inc.
  • AIG: Daily closing prices for American International Group.
  • (Remaining 91 columns represent the other S&P 100 companies.)

Distribution

The raw data is typically distributed as a CSV file named sep100.csv, with a file size of approximately 9.61 MB. The structure consists of 102 features. It contains 5,786 valid daily records covering the full historical period. Updates are expected annually.

Usage

This data product is ideally suited for:
  • Developing and back-testing advanced quantitative trading models.
  • Conducting long-term financial analysis of major corporations.
  • Performing detailed trend analysis and price forecasting.
  • Studying market dynamics, volatility, and correlations across various industry sectors.

Coverage

The dataset focuses on the stock market performance of 101 major US companies listed under the S&P 100 index. The time frame covered is extensive, beginning on 13 July 2000 and extending through to 13 July 2023, providing 23 years of historical daily price data. It covers critical sectors including technology, finance, healthcare, and energy.

License

CC0: Public Domain

Who Can Use It

  • Financial Analysts: For market dynamics research and preparing reports on volatility.
  • Data Scientists: For training machine learning models geared toward price forecasting and regression analysis.
  • Institutional Investors: For making informed investment decisions based on historical performance.
  • Academic Researchers: For studying economic cycles and long-term market behaviour.

Dataset Name Suggestions

  • S&P 100 Historical Daily Stock Prices
  • Major US Company Stock Price History (2000-2023)
  • S&P 100 Index Daily Price Volatility Data

Attributes

Listing Stats

VIEWS

2

DOWNLOADS

1

LISTED

17/10/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Loading...

Free

Download Dataset in CSV Format