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Global Stock Market Price and Volume Time-Series
Stock & Market Data
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About
Tracking the market performance of thousands of public companies provides a foundational view of global financial health. By aggregating daily price quotes for over 6,000 equities from ticker A to ZYXI, this resource allows for a detailed investigation of trading patterns over a significant five-year period. It captures the essential metrics needed to analyse market volatility and stock behaviour from the mid-2010s into the early 2020s. Using automated retrieval, the records provide a thorough overview of tradable securities, making it a vital asset for longitudinal economic studies.
Columns
- datetime: The specific date and time when the market prices were logged.
- open_price: The valuation of the stock at the beginning of the daily trading session.
- close_price: The valuation of the stock at the conclusion of the daily trading session.
- high_price: The peak price achieved by the security during the trading day.
- low_price: The minimum price reached by the security during the trading day.
- volume: The total quantity of shares or contracts traded during the specified time interval.
- symbol: The unique ticker designation assigned to each of the 6,192 publicly listed companies.
Distribution
The information is delivered in a primary CSV file titled
original.csv with a file size of 431.86 MB. It contains approximately 7.80 million valid records, maintaining a perfect integrity profile with zero missing or mismatched entries across all seven columns. The resource is maintained with an expected update frequency of quarterly and has achieved a usability score of 10.00.Usage
This collection is well-suited for building predictive financial models and performing back-testing on various investment strategies. Analysts can use the data to study market trends, develop algorithmic trading bots, or visualise the growth and contraction of different industrial sectors. It also serves as a robust training set for machine learning projects focused on time-series forecasting and risk assessment within the banking and investment sectors.
Coverage
The scope includes over 6,000 publicly listed companies, covering a wide array of tradable entities from A to ZYXI. Temporally, the records provide a continuous daily timeline spanning five years, from 16 February 2016 to 12 February 2021. The demographic focus is on the global equity market, providing a thorough overview of activity across more than 6,100 unique stock symbols.
License
CC0: Public Domain
Who Can Use It
Financial analysts can leverage these figures to identify historical market cycles and perform sector-wide comparisons. Data scientists can utilise the millions of verified records to train neural networks for price movement prediction and volatility modelling. Additionally, academic researchers in economics and finance can use the structured timeline to study the impact of macroeconomic events on specific equity valuations.
Dataset Name Suggestions
- Historical Daily Stock Quotes for 6,000+ Public Companies
- Five-Year Market Performance Archive: A to ZYXI
- Public Equity Trading Metrics and Volume Registry (2016–2021)
- Global Stock Market Price and Volume Time-Series
- Institutional Quality Equity Data: 6,192 Tickers
Attributes
Original Data Source: Global Stock Market Price and Volume Time-Series
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