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Daily U.S. Sector ETF Trading Data

Stock & Market Data

Tags and Keywords

Etfs

Trading

Sectors

Finance

Volume

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Daily U.S. Sector ETF Trading Data Dataset on Opendatabay data marketplace

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About

This collection offers daily Open, High, Low, Close, and Volume (OHLCV) trading data for SPDR Sector Exchange Traded Funds (ETFs), which track specific major U.S. economic sectors within the S&P 500. The data is fundamental for market analysis, allowing financial modellers, analysts, and investors to track sector-specific performance, evaluate market dynamics, and develop sophisticated trading and investment strategies.

Columns

The data includes detailed fields covering market activity and identification:
  • Ticker: The unique symbol used to identify each individual ETF (e.g., XLY, XLK).
  • Sector: The specific economic segment the ETF belongs to. Examples include Financials (XLF), Technology (XLK), Energy (XLE), Health Care (XLV), and Real Estate (XLRE), among others.
  • Date: The calendar date corresponding to the recorded trading activity.
  • Open: The starting price of the ETF at the commencement of the trading day.
  • High: The highest price attained by the ETF during the trading day.
  • Low: The lowest price recorded for the ETF during the trading day.
  • Close: The final trading price of the ETF at the conclusion of the day.
  • Volume: The total number of shares or contracts traded for the ETF throughout the day.

Distribution

The collection is provided in individual files for each SPDR ETF, supplemented by a consolidated file named all_sectors.csv. This consolidated file contains 8 columns and features over 61.4 thousand valid records. The file size for the aggregated data is 6.71 MB. Statistical analysis shows that all tracked columns, including ticker, sector, date, and all price/volume data, have 0% missing or mismatched values.

Usage

This data is highly valuable for those seeking to build investment strategies and explore sector-wise performance. It is particularly relevant for creating sophisticated machine learning models, developing artificial intelligence applications, and executing deep trend analysis to identify market patterns and make financial predictions.

Coverage

The data focuses on Major U.S. Economic Sectors tracked by the SPDR Sector ETFs. The recorded time frame spans from 22 December 1998 up to 24 June 2024. The data is designed to receive daily updates, ensuring its continued relevance for financial market study.

License

Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

Who Can Use It

The dataset is ideal for:
  • Financial Analysts: Studying specific sector dynamics and correlation across U.S. market segments.
  • Investors: Informing portfolio allocation decisions and constructing tailored sector-based investment strategies.
  • Data Scientists: Training predictive models for stock price movements and volume trends using time-series data.
  • Data Enthusiasts: Exploring historical market data and simulating trading outcomes.

Dataset Name Suggestions

  • Daily U.S. Sector ETF Trading Data
  • SPDR Sector Market OHLCV History
  • U.S. Stock Market Sector Performance Metrics
  • Daily SPDR Sector Fund Data

Attributes

Listing Stats

VIEWS

4

DOWNLOADS

0

LISTED

16/12/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

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Free

Download Dataset in ZIP Format