The total value of global equity trading worldwide in 2023 amounted to approximately *** trillion U.S. dollars.What is equity trading? A stock is a piece of equity in a company. The shareholders of a publicly traded company literally own a piece of that company, although it may be very small depending on the number of outstanding shares the company has issued. These transactions typically take place through a stock exchange. Choosing the right stock Many investors use a financial advisor to help them select the stocks in their portfolio. Others do their own research, making bets on industry trends or a particular company’s strategy. While many of these lose money, the most successful investors make billions of U.S. dollars.

Indonesia Capital Market: Stock Trading: Average Daily Trading Volume: Growth data was reported at 13.350 % in Feb 2025. This records an increase from the previous number of -10.150 % for Jan 2025. Indonesia Capital Market: Stock Trading: Average Daily Trading Volume: Growth data is updated monthly, averaging 4.532 % from Dec 2017 (Median) to Feb 2025, with 87 observations. The data reached an all-time high of 216.159 % in Jan 2021 and a record low of -57.303 % in Feb 2020. Indonesia Capital Market: Stock Trading: Average Daily Trading Volume: Growth data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI020: Financial System Statistics: Capital Market Sector.

This statistic shows the largest global stock exchanges globally as of March 2025, ranked by the value of electronic order book share trading. In that time, the NYSE Stock Market was the largest stock exchange worldwide, with the value of EOB shares traded amounting to *** trillion U.S. dollars. Stock exchanges — additional information Stock exchanges are an important part of the free market economic system and are the most important component of the stock market. A stock exchange provides the setting in which stockbrokers, sellers, buyers, and traders can be brought together to take part in the sale of shares, bonds, derivatives and other securities. The core function of a stock exchange is to enable the fair and orderly trading, as well as the provision of price information, of any securities being traded on that exchange. Originally the exchanges were physical places (in some world locations the goods are still traded over-the-counter) but with time, they took the shape of an electronic platform. In order that company shares may be bought, traded and sold on a stock exchange, the company is required to have undergone an initial public offering process (IPO) on that particular exchange. The initial public offering of Alibaba Group Holding, a Chinese company operating in the e-commerce sector, on the New York Stock Exchange in September 2014, was the largest listing in the United States since 1996. The IPO of Alibaba Group Holding raised approximately ***** billion U.S. dollars.

This statistic shows the leading major financial assets worldwide as of April 30, 2025, by average daily trading volume. Gold had the second-highest average daily trading volume at ****** billion U.S. dollars.

Indonesia Capital Market: Bonds Market: Average Daily Trading Volume: Corporation data was reported at 3,849.028 IDR bn in Oct 2025. This records an increase from the previous number of 3,722.901 IDR bn for Sep 2025. Indonesia Capital Market: Bonds Market: Average Daily Trading Volume: Corporation data is updated monthly, averaging 1,086.000 IDR bn from Dec 2017 (Median) to Oct 2025, with 95 observations. The data reached an all-time high of 6,883.551 IDR bn in Jul 2025 and a record low of 794.000 IDR bn in Jan 2018. Indonesia Capital Market: Bonds Market: Average Daily Trading Volume: Corporation data remains active status in CEIC and is reported by Bank Indonesia.KAI: Financial System Statistics: Capital Market Sector.

In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

This dataset is designed to support research and model development in financial market forecasting. It consists of daily stock market data for multiple companies, enriched with macroeconomic indicators and simulated market stress events to reflect real-world volatility.

Key features include:

Stock price details (Open, High, Low, Close) and Trading Volume

Macroeconomic indicators such as GDP growth rate, inflation rate, interest rate, and unemployment rate

A Market Stress Level (normalized between 0 and 1) indicating systemic volatility

A binary Event Flag to simulate major financial shocks or critical economic events

Data spans across multiple tickers (e.g., AAPL, GOOGL, TSLA) for 500+ trading days

The average for 2022 based on 74 countries was 34.95 percent. The highest value was in Hong Kong: 794.22 percent and the lowest value was in Azerbaijan: 0 percent. The indicator is available from 1975 to 2022. Below is a chart for all countries where data are available.

Indonesia Government Securities: Daily Trading: Daily Average: REPO: Volume data was reported at 73.082 IDR tn in Apr 2025. This records an increase from the previous number of 60.224 IDR tn for Mar 2025. Indonesia Government Securities: Daily Trading: Daily Average: REPO: Volume data is updated monthly, averaging 21.802 IDR tn from Jan 2013 (Median) to Apr 2025, with 148 observations. The data reached an all-time high of 199.433 IDR tn in May 2021 and a record low of 0.000 IDR tn in Dec 2018. Indonesia Government Securities: Daily Trading: Daily Average: REPO: Volume data remains active status in CEIC and is reported by Directorate General of Budget Financing and Risk Management. The data is categorized under Indonesia Premium Database’s Financial Market – Table ID.ZB008: Ministry of Finance: Government Securities: Average Daily Trading in Secondary Market.

CN: Turnover: Volume: Beijing Stock Exchange data was reported at 606.196 Share mn in 03 Dec 2025. This records an increase from the previous number of 599.802 Share mn for 02 Dec 2025. CN: Turnover: Volume: Beijing Stock Exchange data is updated daily, averaging 1,473.082 Share mn from Nov 2021 (Median) to 03 Dec 2025, with 984 observations. The data reached an all-time high of 3,357.471 Share mn in 25 Oct 2024 and a record low of 23.559 Share mn in 08 Jul 2022. CN: Turnover: Volume: Beijing Stock Exchange data remains active status in CEIC and is reported by Beijing Stock Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZA: Beijing Stock Exchange: Turnover: Volume: Daily.

Snapshot img

Foreign Exchange Market Size 2025-2029

The foreign exchange market size is valued to increase by USD 582 billion, at a CAGR of 10.6% from 2024 to 2029. Growing urbanization and digitalization will drive the foreign exchange market.

Major Market Trends & Insights

Europe dominated the market and accounted for a 47% growth during the forecast period.
By Type - Reporting dealers segment was valued at USD 278.60 billion in 2023
By Trade Finance Instruments - Currency swaps segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 118.14 billion
Market Future Opportunities: USD 582.00 billion
CAGR from 2024 to 2029 : 10.6%

Market Summary

The market, a dynamic and intricate web of financial transactions, plays a pivotal role in facilitating global trade and economic interactions. Its primary function is to enable the conversion of one currency into another, thereby mitigating the risk of currency fluctuations for businesses and investors. Key drivers of this market include growing urbanization and digitalization, which have expanded trading opportunities to a 24x7 global economy. However, the uncertainty of future exchange rates poses a significant challenge, necessitating effective risk management strategies. The market's evolution reflects the increasing interconnectedness of the global economy. Transactions occur in a decentralized, over-the-counter system, with major trading centers in London, New York, and Tokyo.
Participants include commercial banks, investment banks, hedge funds, and individual investors, all seeking to capitalize on price differences between currencies. Trends shaping the market include the increasing use of automation and artificial intelligence to analyze market data and execute trades. Regulatory changes, such as the introduction of stricter capital requirements, also impact the market's functioning. Looking ahead, the market is expected to remain a vital component of the global financial landscape, with continued growth driven by increased trade and economic interdependence. However, challenges, such as regulatory changes and geopolitical risks, will necessitate adaptability and innovation from market participants.

What will be the Size of the Foreign Exchange Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Foreign Exchange Market Segmented ?

The foreign exchange industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Reporting dealers
  Financial institutions
  Non-financial customers


Trade Finance Instruments

  Currency swaps
  Outright forward and FX swaps
  FX options


Trading Platforms

  Electronic Trading
  Over-the-Counter (OTC)
  Mobile Trading


Geography

  North America

    US
    Canada


  Europe

    Germany
    Switzerland
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The reporting dealers segment is estimated to witness significant growth during the forecast period.

The market, a dynamic and ever-evolving financial landscape, is characterized by constant activity and intricate patterns. Participants engage in various trading strategies, employing advanced tools such as stop-loss and take-profit orders on forex trading platforms. Real-time data feeds and order book dynamics facilitate trade execution speed, while market microstructure and slippage minimization techniques ensure efficient transactions. Currency correlation analysis and transaction cost analysis are integral to informed decision-making, with backtesting methodologies providing valuable insights. Currency forwards contracts, position sizing techniques, and forex derivatives pricing are essential components of risk management systems. Carry trade strategies, hedging strategies, and interest rate parity are popular tactics employed by market participants.

Algorithmic trading strategies, driven by options pricing models and trading algorithms' efficiency, significantly influence price discovery mechanisms. High-frequency trading and volatility modeling contribute to the market's liquidity risk management, while foreign exchange swaps and currency option valuation help manage risk. The market's complexities necessitate sophisticated risk management systems and intricate order routing optimization. Global payments systems facilitate the smooth transfer of funds, and liquidity risk management remains a critical concern for market participants. According to recent studies, The market is estimated to account for approximately USD6 trillion in daily trading volume, und

The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

Key Features and Data Structure

The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

• Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
• Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
• Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
• Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

Applications and Usability

This dataset is highly versatile and can be utilized for various financial research purposes:

• Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
• Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
• Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

Acknowledgements:

This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

Money Market: Rupiah: Repo: Transaction Volume Daily Average: All Tenor data was reported at 19,492.494 IDR bn in Oct 2025. This records a decrease from the previous number of 21,095.250 IDR bn for Sep 2025. Money Market: Rupiah: Repo: Transaction Volume Daily Average: All Tenor data is updated monthly, averaging 798.429 IDR bn from Jan 2013 (Median) to Oct 2025, with 154 observations. The data reached an all-time high of 23,248.380 IDR bn in Aug 2025 and a record low of 103.450 IDR bn in Jan 2016. Money Market: Rupiah: Repo: Transaction Volume Daily Average: All Tenor data remains active status in CEIC and is reported by Bank Indonesia.KAI: Financial System Statistics: Money Market Sector.

About:

This dataset encompasses the historical data of major stock indices from around the world, sourced directly from Yahoo Finance. With data reaching back to the early 1920s (where available), it serves as an invaluable repository for academic researchers, financial analysts, and market enthusiasts. Users can delve into trends across decades, evaluate historical market behaviors, or even design and validate predictive financial models.

Photo by Tötös Ádám on Unsplash

Info on CSVs:

1. all_indices_data.csv:

   • Description: A consolidated dataset merging all the stock indices from Yahoo Finance.
   • Columns:
     • date: The date of the data point (formatted as YYYY-MM-DD).
     • open: The opening value of the index on that date.
     • high: The highest value of the index during the trading session.
     • low: The lowest value of the index during the trading session.
     • close: The closing value of the index.
     • volume: The trading volume of the index on that date.
     • ticker: The ticker symbol of the stock index.

2. individual_indices_data/[SYMBOL]_data.csv:

   • Description: Individual datasets for each stock index, where [SYMBOL] denotes the ticker symbol of the respective stock index. Each dataset is curated from Yahoo Finance's historical data archives.
   • Columns:
     • date: The date of the data point (formatted as YYYY-MM-DD).
     • open: The opening value of the index on that date.
     • high: The highest value of the index during the trading session.
     • low: The lowest value of the index during the trading session.
     • close: The closing value of the index.
     • volume: The trading volume of the index on that date.

Graph and download economic data for Stock Market Turnover Ratio (Value Traded/Capitalization) for United States (DDEM01USA156NWDB) from 1975 to 2019 about ratio, stock market, and USA.

Indonesia Capital Market: Stock Trading: Average Daily Trading Stock Volume data was reported at 19,235.145 Unit mn in Feb 2025. This records an increase from the previous number of 17,851.047 Unit mn for Jan 2025. Indonesia Capital Market: Stock Trading: Average Daily Trading Stock Volume data is updated monthly, averaging 17,532.133 Unit mn from Dec 2017 (Median) to Feb 2025, with 87 observations. The data reached an all-time high of 29,504.050 Unit mn in Sep 2022 and a record low of 6,116.110 Unit mn in Feb 2020. Indonesia Capital Market: Stock Trading: Average Daily Trading Stock Volume data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI020: Financial System Statistics: Capital Market Sector.

In March 2025, the average number of daily trades on the LSE amounted to almost *******, in line with the figures of the previous months and the previous year. This, however, represents a decrease compared to the levels registered before 2023. The average number of daily trades made on the London Stock Exchange (LSE) massively jumped in March 2020. In December 2021, the value had fallen again to *******. In the first months of 2022, the average daily number of trades exceeded *********** again, before decreasing once more in the following months.

About this Dataset

This dataset offers a comprehensive, up-to-date look at the historical stock performance of JPMorgan Chase & Co. (JPM), a global leader in financial services.

About the Company

JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. As the largest bank in the United States and one of the world's most prominent financial institutions, it operates across four major segments: Consumer & Community Banking, Commercial Banking, Corporate & Investment Bank, and Asset & Wealth Management. Its stock performance is a key indicator of the health of the banking and global financial sectors.

Key Features

Daily OHLCV Data: The dataset contains essential Open, High, Low, Close, and Volume metrics for each trading day.

Comprehensive History: Includes data from JPMorgan Chase's early trading history to the present, offering a long-term perspective.

Regular Updates: The dataset is designed for regular, automated updates to ensure data freshness for time-sensitive projects.

Data Dictionary

Date: The date of the trading session in YYYY-MM-DD format.

ticker: The standard ticker symbol for JPMorgan Chase & Co. on the NYSE: 'JPM'.

name: The full name of the company: 'JPMorgan Chase & Co.'.

Open: The stock price in USD at the start of the trading session.

High: The highest price reached during the trading day in USD.

Low: The lowest price recorded during the trading day in USD.

Close: The final stock price at market close in USD.

Volume: The total number of shares traded on that day.

Data Collection

The data for this dataset is collected using the yfinance Python library, which pulls information directly from the Yahoo Finance API.

Potential Use Cases

Financial Analysis: Analyze historical price trends, volatility, and trading volume of JPMorgan Chase stock.

Machine Learning: Develop and test models for stock price prediction and time series forecasting.

Educational Projects: A perfect real-world dataset for students and data enthusiasts to practice data cleaning, visualization, and modeling.

Corp Bond: ADTV: ATS: >= 5,000,000 < 10,000,000 data was reported at 564.180 USD mn in Mar 2025. This records an increase from the previous number of 325.479 USD mn for Dec 2024. Corp Bond: ADTV: ATS: >= 5,000,000 < 10,000,000 data is updated quarterly, averaging 281.264 USD mn from Jun 2019 (Median) to Mar 2025, with 24 observations. The data reached an all-time high of 581.719 USD mn in Mar 2021 and a record low of 159.103 USD mn in Jun 2019. Corp Bond: ADTV: ATS: >= 5,000,000 < 10,000,000 data remains active status in CEIC and is reported by Financial Industry Regulatory Authority, Inc.. The data is categorized under Global Database’s United States – Table US.Z: US Corporate Bond Average Daily Trading Volume: Investment Grade.

Context

In the dynamic world of finance, historical stock data serves as a cornerstone for analysis, predictive modeling, and strategic investment decisions. Understanding the past performance of market leaders like Alphabet Inc.'s Class A shares (GOOGL) is crucial for identifying trends, assessing volatility, and developing robust forecasting models. This dataset offers a detailed look into nearly a decade of GOOGL's daily market activity.

Overview

This dataset provides daily historical stock price and trading volume data for Alphabet Inc.'s Class A (voting) shares, traded under the ticker symbol GOOGL.

Files

• GoogleStockPrices.csv
  • Contains daily records for GOOGL.
  • Columns: Date, Open, High, Low, Close, Volume.
  • Important: This file only includes records for actual stock market trading days (weekends and public holidays are not present).

Key Features

1. Extensive Temporal Coverage: Nearly a decade of market data for GOOGL, from 2015 through 2024.
2. Single Ticker Focus: Dedicated to Alphabet Inc.'s Class A (GOOGL) shares, allowing for in-depth analysis of this specific stock.
3. Comprehensive Daily Metrics: Includes Open, High, Low, Close prices, and trading Volume, essential for detailed technical analysis.
4. Trading Day Focus: Data is strictly limited to actual market trading days, reflecting real market activity without artificial interpolations for non-trading days.
5. Direct Source: Data is derived directly from Google Finance, a reliable and widely recognized source for financial information.

Uses

This dataset is ideally suited for a wide range of financial and data science applications, including: * Time Series Analysis: Analyze long-term price trends, seasonality, and cycles in GOOGL's stock performance. * Predictive Modeling: Develop and test models for daily GOOGL stock price forecasting, volatility prediction, or trend identification. * Algorithmic Trading Strategies: Backtest daily trading algorithms based on GOOGL's historical price and volume data. * Risk Assessment: Study historical volatility and drawdowns of GOOGL to understand potential investment risks. * Market Event Analysis: Examine the daily impact of major corporate announcements, economic news, or global events specifically on GOOGL's stock.

Licensing

This dataset is published under the MIT License, allowing free use for both personal and commercial purposes. Attribution is encouraged but not required.