The main stock market index of United States, the US500, rose to 6074 points on June 24, 2025, gaining 0.80% from the previous session. Over the past month, the index has climbed 2.57% and is up 11.05% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.

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.

Stocks traded, total value (current US$) in United States was reported at 44315891180000 USD in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Stocks traded, total value - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about New York, stock market, indexes, and USA.

China's main stock market index, the SHANGHAI, rose to 3382 points on June 23, 2025, gaining 0.65% from the previous session. Over the past month, the index has climbed 1.04% and is up 14.12% compared to the same time last year, 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 June of 2025.

The value of global domestic equity market increased from 65.04 trillion U.S. dollars in 2013 to 124.63 trillion U.S. dollars in 2023. 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 62 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 60 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 market cap of 177 billion U.S. dollars as of March 2025.

Graph and download economic data for Interest Rates and Price Indexes; Dow Jones U.S. Total Market Index, Level (BOGZ1FL073164013A) from 1970 to 2024 about mutual funds, equity, liabilities, interest rate, interest, rate, price index, indexes, price, and USA.

The US Capital Market Exchange Ecosystem is Segmented by Type of Market (Primary Market and Secondary Market), by Financial Instruments (Debt and Equity), and by Investors (Retail Investors and Institutional Investors). The report offers market size and forecasts for the US Capital Market Exchange Ecosystem in value (USD Million) for all the above segments.

Euro Area's main stock market index, the EU50, rose to 5316 points on June 24, 2025, gaining 1.80% from the previous session. Over the past month, the index has declined 1.48%, though it remains 7.69% 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 June of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Dow Jones U.S. Financials Index Forecast: Mixed Outlook

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

DJ US Healthcare: Poised for Recovery?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Dow Jones U.S. Real Estate - A Bull or Bearish Run in Sight?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Market capitalization of listed domestic companies (current US$) in China was reported at 11469346090000 USD in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. China - Market capitalization of listed companies - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

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Stockbroking Market Size 2024-2028

The stockbroking market size is estimated to increase by USD 739.6 billion, at a CAGR of 9.58% between 2023 and 2028. Market expansion hinges on various factors such as market surveillance, supportive government regulations, and improved cash flow fostering business expansion. However, challenges persist, including repercussions from trade conflicts, limited attention to stock broking for small and medium enterprises (SMEs), and inadequate risk assessment capabilities. Effective market surveillance is crucial for identifying emerging trends and mitigating risks. Moreover, government regulations that facilitate market growth and innovation are imperative for sustained expansion. Enhanced cash flow empowers businesses to invest in research, development, and expansion initiatives for security brokerage and stock exchange services, driving overall market growth. Despite these opportunities, challenges like navigating trade tensions, addressing the neglect of SMEs in stock broking, and bolstering risk evaluation capacities necessitate proactive measures to sustain market momentum and ensure long-term viability. Additionally, users of online trading platforms can easily monitor the performance of their assets thanks to real-time stock data.

What will be the Size of the Stockbroking Market During the Forecast Period?

Market Forecast 2024-2028

To learn more about this stockbroking market report, Download Report Sample

Stockbroking Market Segmentation

The stockbroking market forecasting report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024 to 2028, as well as historical data from 2018 to 2022 for the following segments.

Mode Of Booking Outlook 

  Offline
  Online





Type Outlook

  Long-term trading
  Short-term trading





Region Outlook 

  North America

    The U.S.
    Canada





  Europe

    U.K.
    Germany
    France
    Rest of Europe





  APAC

    China
    India


  South America

    Chile 
    Brazil
    Argentina


  Middle East & Africa

    Saudi Arabia
    South Africa
    Rest of the Middle East & Africa

By Mode Of Booking

The offline segment will account for a major share of the market's growth during the forecast period. Without the use of online platforms or electronic systems, offline stockbroking is the traditional method of engaging in stock trading activities. Investors work with stockbroker who act as an intermediate between traders and the stock exchange. Offline includes communication, paper-based documentation, and personalized investment advicor.

Get Sample Report

The offline segment was valued at USD 760.60 billion in 2018.?Offline is still dominating the market due to the ease of use due to factors such as personalized services, extensive research, complex investment strategies, trust, and relationship building by the investors over time, also in the offline segment they can access initial public offerings or other restricted offerings which may not be readily available on an online brokerage platform or with e-brokerage. Due to the above-mentioned factors, the market is expected to grow during the forecast period.

Regional Analysis

For more insights on the market share of various regions, View PDF Sample now!

North America is estimated to contribute 34% to global stockbroking market growth by 2028. Technavio's analysts have elaborately explained the regional trends, drivers, and challenges that are expected to shape the market during the forecast period. The market in North America refers to the financial industry. Which are involved in buying and selling securities, such as stocks, bonds, and derivatives, on behalf of investors. North America has the dominant and the most developed stock markets in the world, centered primarily in the US and Canada. In North America, the market includes the stock exchange, brokerage firms, online trading, regulatory bodies, investment products, and high-frequency trading. Hence, such factors are driving the market in North America during the forecast period.

Stockbroking Market Dynamics

The market encompasses various entities, including stockbrokers, investment advisors, and registered representatives, who facilitate trading activities for investors. Brokerage firms provide the infrastructure for these professionals to execute orders on behalf of their clients. The integration of artificial intelligence (AI) and algorithms into trading platforms has led to cloud-based solutions, enabling active and passive portfolio management. Investment advisory and financial planning services are crucial components of the market. Advisors help investors make informed investment decisions based on their financial health and profitability goals. Asset allocation is a significant factor in investment decisions, with

Graph and download economic data for Rest of the World; Foreign Direct Investment in U.S.: Equity; Asset (Market Value), Level (BOGZ1FL263092141A) from 1945 to 2024 about FDI, market value, equity, assets, and USA.

Market capitalization of listed domestic companies (current US$) in Iran was reported at 1613044750000 USD in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Iran - Market capitalization of listed companies - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Dow Jones U.S. Select Telecommunications: A Signal of Market Dynamics?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Graph and download economic data for Other Financial Corporations; Nonresidential Equipment, Current Cost Basis, Market Value Levels (BOGZ1LM815013265Q) from Q4 1945 to Q1 2025 about market value, cost, finance companies, nonresidential, companies, finance, financial, equipment, and USA.

FIRST US BANCSH market cap as of June 14, 2025 is $0.07B. FIRST US BANCSH market cap history and chart from 2010 to 2025. Market capitalization (or market value) is the most commonly used method of measuring the size of a publicly traded company and is calculated by multiplying the current stock price by the number of shares outstanding.

Avg Days on Market: Condo/Co-op: Washington data was reported at 16.000 Day in Jul 2020. This records a decrease from the previous number of 17.000 Day for Jun 2020. Avg Days on Market: Condo/Co-op: Washington data is updated monthly, averaging 25.500 Day from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 108.000 Day in Feb 2012 and a record low of 9.000 Day in Apr 2020. Avg Days on Market: Condo/Co-op: Washington data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB005: Average Days on Market: by States.