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Ten-Year Financial Market Performance Data
Stock & Market Data
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About
This data resource offers a detailed view of daily historical stock and ETF closing prices. It captures the performance of key market leaders, known as the Magnificent 7, as well as several essential bond and equity ETFs. The dataset is structured to enable users to conduct in-depth financial analysis, monitor long-term trends, and evaluate market volatility. Its purpose is to supply current and historical financial metrics required for robust quantitative research.
Columns
The data files typically contain 13 columns. The primary identifier is the Date, representing the day the closing price was recorded. The remaining columns correspond to the daily closing prices of various stocks and ETFs. Examples of bond ETF columns included are: SGOV, AGG, SHV, BIL, SHY, BND, EDV, IEI, IEF, VGIT, TLT, and TLH.
Distribution
The data is usually provided in CSV files. It is structured as time series data with daily granularity. The records within the files are highly valid, with statistics showing 1357 valid records for bond ETF samples, containing 13 columns of data. The frequency of updates for this product is daily, ensuring users always have the most recent closing prices available.
Usage
This product is ideally suited for quantitative finance applications, including backtesting trading and investment strategies. It is highly useful for financial analysts performing market timing studies or evaluating asset allocation models. Researchers can utilise this long-running data to investigate the correlation between high-growth stocks (like the Magnificent 7) and bond market fluctuations.
Coverage
The data covers daily performance spanning the past 10 years. The specific timeframe observed in some samples ranges from June 2020 up to October 2025. The scope is centred on major US-listed financial instruments, including prominent stocks and a broad selection of equity, bond, and alternative asset ETFs.
License
CC0: Public Domain
Who Can Use It
- Financial Analysts: For market timing, volatility analysis, and forecasting.
- Investors: To track the long-term performance of the Magnificent 7 and major bond instruments.
- Data Scientists: For developing and training machine learning models used in algorithmic trading.
- Academics/Researchers: For studies requiring extensive historical financial data spanning a decade.
Dataset Name Suggestions
- Ultimate Stock Prices Data - 10yrs - UPDATED DAILY
- Daily Historical Stock and ETF Closing Prices
- Magnificent 7 and Bond ETF Daily Metrics
- Ten-Year Financial Market Performance Data
Attributes
Original Data Source: Ten-Year Financial Market Performance Data
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