The value of global domestic equity market increased from ***** trillion U.S. dollars in 2013 to ****** trillion U.S. dollars in 2024. The United States was by far the leading country with the largest share of total world stocks as of 2024. Global market capitalization in different regions The market capitalization of domestic companies listed varied across different regions of the world. As of Decmber 2024, the Americas region had the largest domestic equity market, totaling ** trillion U.S. dollars. This region is home to the NYSE and Nasdaq, which are the two largest stock exchange operators in the world. The market capitalization of these two exchanges alone exceeded ** billion U.S. dollars as of January 2025, larger than the total market capitalization in the Asia-Pacific, and in the EMEA regions in the same period. Largest Stock Exchanges in Latin America As of December 2024, the B3 (Brasil Bolsa Balcao) was the biggest stock exchange in Latin America in terms of market capitalization and the second-largest in terms of number of listed companies. Following the B3 were the Mexican Stock Exchange and the Santiago Stock Exchange in Chile. The most valuable company in Latin America is listed on the Mexican Stock Exchange: Fomento Económico Mexicano, a multinational beverage and retail company headquartered in Monterrey, had a market cap of *** billion U.S. dollars as of March 2025.

The average for 2022 based on 75 countries was 1225.97 billion U.S. dollars. The highest value was in the USA: 40297.98 billion U.S. dollars and the lowest value was in Bermuda: 0.21 billion U.S. dollars. The indicator is available from 1975 to 2024. Below is a chart for all countries where data are available.

As of early 2025, companies in the information technology sector made up ** percent of the total market capitalization of all stock exchanges worldwide. Tech companies worldwide had a combined market capitalization of approximately ** trillion U.S. dollars. The second largest sector on stock markets worldwide was the financial services industry, with a market cap of ** trillion U.S. dollars, followed by the industrials sector with ** trillion U.S. dollars. On the other hand, real estate and utilities were the least represented sectors on stock markets worldwide.

While the global coronavirus (COVID-19) pandemic caused all major stock market indices to fall sharply in March 2020, both the extent of the decline at this time, and the shape of the subsequent recovery, have varied greatly. For example, on March 15, 2020, major European markets and traditional stocks in the United States had shed around ** percent of their value compared to January *, 2020. However, Asian markets and the NASDAQ Composite Index only shed around ** to ** percent of their value. A similar story can be seen with the post-coronavirus recovery. As of November 14, 2021 the NASDAQ composite index value was around ** percent higher than in January 2020, while most other markets were only between ** and ** percent higher. Why did the NASDAQ recover the quickest? Based in New York City, the NASDAQ is famously considered a proxy for the technology industry as many of the world’s largest technology industries choose to list there. And it just so happens that technology was the sector to perform the best during the coronavirus pandemic. Accordingly, many of the largest companies who benefitted the most from the pandemic such as Amazon, PayPal and Netflix, are listed on the NADSAQ, helping it to recover the fastest of the major stock exchanges worldwide. Which markets suffered the most? The energy sector was the worst hit by the global COVID-19 pandemic. In particular, oil companies share prices suffered large declines over 2020 as demand for oil plummeted while workers found themselves no longer needing to commute, and the tourism industry ground to a halt. In addition, overall share prices in two major stock exchanges – the London Stock Exchange (as represented by the FTSE 100 index) and Hong Kong (as represented by the Hang Seng index) – have notably recovered slower than other major exchanges. However, in both these, the underlying issue behind the slower recovery likely has more to do with political events unrelated to the coronavirus than it does with the pandemic – namely Brexit and general political unrest, respectively.

New York Stock Exchange: Index: Dow Jones US Broad Stock Market Index data was reported at 16,240.730 NA in Feb 2026. This records a decrease from the previous number of 16,348.050 NA for Jan 2026. New York Stock Exchange: Index: Dow Jones US Broad Stock Market Index data is updated monthly, averaging 7,657.050 NA from Aug 2013 (Median) to Feb 2026, with 151 observations. The data reached an all-time high of 16,348.050 NA in Jan 2026 and a record low of 4,067.650 NA in Aug 2013. New York Stock Exchange: Index: Dow Jones US Broad Stock Market Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Dow Jones: Monthly.

Euro Area's main stock market index, the EU50, fell to 5508 points on March 27, 2026, losing 0.99% from the previous session. Over the past month, the index has declined 8.00%, though it remains 3.31% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Euro Area. Euro Area Stock Market Index (EU50) - values, historical data, forecasts and news - updated on March of 2026.

Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

United States US: Stocks Traded: Total Value data was reported at 39,785.881 USD bn in 2017. This records a decrease from the previous number of 42,071.330 USD bn for 2016. United States US: Stocks Traded: Total Value data is updated yearly, averaging 17,934.293 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 47,245.496 USD bn in 2008 and a record low of 1,108.421 USD bn in 1984. United States US: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

This dataset contains enriched historical stock market data for Indian NIFTY 50, NIFTY 100, and select global stocks (such as AAPL, TSLA, GOOGL, etc.). It is compiled to support advanced AI/ML modeling such as time series forecasting, trend classification, and real-time price prediction.

📁 Dataset Contents The dataset is split into multiple parts (.z01, .z02, ..., data.zip) to bypass file size upload limitations. Please download all files before extracting.

🔹 Structure inside archive: data/ ├── static_raw/ # Original Kaggle datasets (NIFTY 50, NIFTY 100, global stocks) ├── processed/ # Cleaned, pre-processed data │ ├── static/ # Static historical data │ ├── live/ # yFinance live historical pull │ └── enriched/ # With moving averages, indicators, etc. 🔹 File Format: .csv files

Common columns: Date, Open, High, Low, Close, Volume, technical indicators

🛠️ How to Extract After downloading the dataset !unzip data.zip

📌 Use Cases

This dataset is ideal for:

1.LSTM/GRU-based stock prediction

2.Prophet model benchmarking

3.Trend classification (bullish/bearish)

4.Feature engineering for time series

5.Interactive dashboards with Streamlit

📢 Credits

This dataset is part of a capstone AI project by:

Adithya B – Data collection, preprocessing, and full-stack integration

Hemnath S – Model evaluation

Harish Kumar K – Report creation & documentation

Joshua D – Dataset collection & management

Institution: Tagore Engineering College, Department of Computer Science Engineering

China's main stock market index, the SHANGHAI, rose to 3914 points on March 27, 2026, gaining 0.63% from the previous session. Over the past month, the index has declined 6.43%, though it remains 16.78% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on March of 2026.

Overview

This dataset provides historical daily stock price data for the 20 largest financial companies and major global stock indices. It is designed for financial analysis, market trend exploration, and correlation studies. The dataset includes stock price history for the past 1 year for financial companies and for stock indices.

Contents

The dataset consists of multiple CSV files:
1. Stock data files (stock_JPM.csv, stock_BAC.csv, etc.) – Each file contains daily price data for a specific financial company.
2. indices.csv – A merged dataset containing daily closing prices for major stock indices.

Dataset Structure

1. Stock Data Files (stock_JPM.csv, stock_BAC.csv, etc.)

Each stock file contains the following columns:
- Date – Trading day’s closing date (YYYY-MM-DD format).
- Open – Opening price of the stock.
- High – Highest price during the trading day.
- Low – Lowest price during the trading day.
- Close – Closing price of the stock.
- Volume – Number of shares traded.

Removed Columns:
- Dividends – Removed to focus on price movements.
- Stock Splits – Removed as it does not impact short-term trading analysis.

Each file represents a single company’s daily stock performance over the past 365 days.

2. Stock Indices File (indices.csv)

This file contains historical daily closing prices for major global stock indices over the past six months.

Columns:
- Date – Trading day’s closing date (YYYY-MM-DD format).
- GSPC – S&P 500 Index.
- IXIC – NASDAQ Composite Index.
- DJI – Dow Jones Industrial Average (DJIA).
- RUT – Russell 2000 Index.
- GDAXI – DAX Index (Germany).
- FTSE – FTSE 100 Index (United Kingdom).
- FCHI – CAC 40 Index (France).
- HSI – Hang Seng Index (Hong Kong).
- N225 – Nikkei 225 Index (Japan).
- BSESN – BSE Sensex Index (India).
- BVSP – Bovespa Index (Brazil).

Key Adjustments:
- The ticker for S&P 500 (^GSPC) has been renamed to GSPC to avoid special characters.
- The file does not include separate index files, only the merged dataset.
- Missing values are forward-filled to maintain continuity in time series analysis.

Data Sources & Processing

• Stock and index data were collected and processed using the Yahoo Finance API.
• The dataset was prepared with equity_analysis, a custom module developed for efficient equity data retrieval.
• The data updates cover:
  • Financial companies: Last 365 days of daily price data.
  • Stock indices: Last 180 days of daily closing prices.

Potential Use Cases

This dataset is valuable for:
✅ Stock Market Analysis – Studying price trends, volatility, and historical market behavior.
✅ Financial Modeling – Training machine learning models for market prediction.
✅ Portfolio Optimization – Analyzing the correlation between different financial assets.
✅ Comparing Global Markets – Investigating relationships between US, European, and Asian indices.
✅ Backtesting Trading Strategies – Using historical price data for algorithmic trading strategies.

Technical Details

• File format: CSV (comma-separated values)
• Date format: YYYY-MM-DD
• Data interval: Daily
• Timezone: UTC (without timezone adjustments)
• Size: Varies depending on the number of records

Final Notes

• The dataset is regularly updated with the latest stock and index data.
• It is intended for educational and research purposes only, not for real-time trading decisions.
• Future improvements may include additional financial indicators, sentiment analysis, or alternative data sources.

🚀 Use this dataset to explore market trends, build models, and gain financial insights!

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

United States US: Stocks Traded: Turnover Ratio of Domestic Shares data was reported at 116.078 % in 2017. This records an increase from the previous number of 94.719 % for 2016. United States US: Stocks Traded: Turnover Ratio of Domestic Shares data is updated yearly, averaging 114.857 % from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 407.630 % in 2008 and a record low of 51.444 % in 1991. United States US: Stocks Traded: Turnover Ratio of Domestic Shares data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. Turnover ratio is the value of domestic shares traded divided by their market capitalization. The value is annualized by multiplying the monthly average by 12.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Graph and download economic data for Stock Market Total Value Traded to GDP for Thailand (DDDM02THA156NWDB) from 1980 to 2020 about Thailand, market cap, stock market, trade, and GDP.

The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

National Stock Exchange: Index: BNV Share Index data was reported at 11,902.130 NA in Feb 2026. This records an increase from the previous number of 11,901.660 NA for Jan 2026. National Stock Exchange: Index: BNV Share Index data is updated monthly, averaging 11,376.950 NA from Jan 2012 (Median) to Feb 2026, with 170 observations. The data reached an all-time high of 14,829.030 NA in May 2017 and a record low of 5,302.210 NA in Jun 2012. National Stock Exchange: Index: BNV Share Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s Costa Rica – Table CR.EDI.SE: National Stock Exchange: Monthly.

Data retrieved from world-exchanges.org Statistics portal. It comprises of 19 of the largest market capitalization stock exchanges from around the world, with a minimum 1 trillion USD valuation in 2023. The cleaned version is a wide dataframe with exchange name, region, and its valuation across the years.

My work can be seen at:

Code: https://github.com/DanielDataGit/daniel.R/blob/main/Work.R/LIS4370Rprog/4317FinalProjectCode.R

Blog: https://danieltlis4317.blogspot.com/2024/11/final-project.html

France FR: Stocks Traded: Total Value: % of GDP data was reported at 40.973 % in 2014. This records an increase from the previous number of 39.327 % for 2013. France FR: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 13.969 % from Dec 1975 (Median) to 2014, with 40 observations. The data reached an all-time high of 108.977 % in 2007 and a record low of 0.850 % in 1977. France FR: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Vietnam VN: Stocks Traded: Total Value: % of GDP data was reported at 17.001 % in 2017. This records an increase from the previous number of 10.850 % for 2016. Vietnam VN: Stocks Traded: Total Value: % of GDP data is updated yearly, averaging 10.850 % from Dec 2008 (Median) to 2017, with 9 observations. The data reached an all-time high of 21.384 % in 2009 and a record low of 5.527 % in 2011. Vietnam VN: Stocks Traded: Total Value: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values.; ; World Federation of Exchanges database.; Weighted average; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Graph and download economic data for Stock Market Turnover Ratio (Value Traded/Capitalization) for Thailand (DDEM01THA156NWDB) from 1989 to 2020 about Thailand, ratio, and stock market.