Dataset
global-top-Index-exploring-trends-in-stock-Market
A daily record of trading activity across multiple major global stock market indices, structured for trend analysis and forecasting work in international equity markets.
Data preview
Dataset card
The Global Top Index dataset is a user-published CSV of daily trading activity for several major global stock market indices, sourced from Yahoo Finance via Selenium and BeautifulSoup4 scraping scripts. It is tagged as a text-classification corpus with an MIT license and roughly 50,132 rows in its training split.
What this dataset contains
Each row represents one trading session for a named market index, with the index name, ticker symbol, and full OHLC price set: Open, High, Low, Close, Adj Close, and Volume. The dataset covers multiple leading indices and is designed to support temporal trend and pattern analysis across international markets. The stated collection methodology describes quarterly scraping of Yahoo Finance, with the most recent update noted as about 19 days before publication.
Structure and fields
The schema is delivered as a single CSV table with string-typed columns: Date, Name, Symbol, Open, High, Low, Close, Adj Close, and Volume. The Symbol column carries exchange identifiers such as FCHI and STOXX50E, while the Date field orders sessions for time-series work. Only a train split is documented, containing 50,132 rows, and the file is tagged as consumable by pandas, polars, and the mlcroissant library.
How analysts use it
Quantitative analysts can use the Date, Close, and Volume columns to backtest cross-index momentum, volatility, and correlation strategies. Because the source is Yahoo Finance, the data overlaps with widely available free index histories, so any edge relies on the publisher's quarterly refresh cadence or any derived fields added during scraping. Plausible use cases include index-level performance attribution and macro-regime tagging, though the absence of stated cleaning rules means results should be cross-checked against an authoritative feed.
Documentation & references 1
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