The main stock market index of United States, the US500, rose to 6173 points on June 27, 2025, gaining 0.52% from the previous session. Over the past month, the index has climbed 4.83% and is up 13.05% 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.

China's main stock market index, the SHANGHAI, fell to 3424 points on June 27, 2025, losing 0.70% from the previous session. Over the past month, the index has climbed 2.52% and is up 15.39% 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.

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.

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 40 percent of their value compared to January 5, 2020. However, Asian markets and the NASDAQ Composite Index only shed around 20 to 25 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 65 percent higher than in January 2020, while most other markets were only between 20 and 40 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.

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.

India's main stock market index, the SENSEX, rose to 84059 points on June 27, 2025, gaining 0.36% from the previous session. Over the past month, the index has climbed 3.38% and is up 6.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from India. BSE SENSEX Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.

Euro Area's main stock market index, the EU50, rose to 5329 points on June 27, 2025, gaining 1.64% from the previous session. Over the past month, the index has declined 0.92%, though it remains 8.89% 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.

An In-depth Analysis of the S&P 500 Index: Performance, Composition, and Implications

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

Snapshot img

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

SET: No of Listed Transferable Subscription Right data was reported at 0.000 Unit in 2017. This stayed constant from the previous number of 0.000 Unit for 2016. SET: No of Listed Transferable Subscription Right data is updated yearly, averaging 0.000 Unit from Dec 2004 (Median) to 2017, with 14 observations. SET: No of Listed Transferable Subscription Right data remains active status in CEIC and is reported by The Stock Exchange of Thailand. The data is categorized under Global Database’s Thailand – Table TH.Z010: The Stock Exchange of Thailand: Market Statistics: Annual.

The price of Tesla shares traded on the Nasdaq stock exchange remained rather stable between July 2010 and January 2020. With the beginning of 2020, the price of Tesla share increased dramatically and stood at ****** U.S. dollars per share in November 2021. Since then, the price of Tesla share fluctuated significantly and reached its peak at ****** U.S. dollars per share in December 2024, before falling dramatically in February 2025. Why did Tesla's stock value go up in 2020? Despite the effects of the pandemic, Tesla share prices experienced a massive increase in 2020. Tesla kept increasing its output levels throughout the year, except for the second quarter, and released its new vehicle Tesla Model Y. Additionally, when the company was added to the S&P 500 index in August 2020, it instilled further trust in investors. In 2020, Tesla was the top-performing stock on the S&P 500 index, and two years later, in 2024, it ranked among the ten largest companies on the index by market capitalization. Steady growth in the last decade Founded in 2003, Tesla primarily focuses on designing and producing electric vehicles, as well as energy generation and storage systems. Since then, Tesla's revenue has steadily increased, reaching nearly ** million U.S. dollars in 2024. Most of the revenue came from automotive sales in 2024. Tesla's first electric car, the Roadster, was sold between 2008 and 2012. Currently, the company offers four primary electric vehicles: Model 3, Model Y, Model S, and Model X.

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.

Oncolytics Biotech Inc. Forecast & Analysis

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.

Evaluating Google Stock: A Comprehensive Analysis of Financial Performance and Future Prospects

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

The IT Spending in the Food Delivery Marketplace has become a significant focus area, reflecting the evolving landscape of how consumers access dining experiences today. As the food delivery sector experiences explosive growth, fueled by changing consumer preferences toward convenience and fast service, investments

In today’s digital landscape, where online presence is paramount, the URL shortening services market has emerged as an essential tool for businesses, marketers, and content creators. These services allow users to transform lengthy web addresses into succinct links that are easier to share across various platforms,

In today’s rapidly evolving safety landscape, the Fire Alarm Monitoring Service market plays a crucial role in protecting lives and properties from the devastating impacts of fire incidents. This service involves the real-time monitoring of fire alarm systems, ensuring timely alerts and rapid responses to emergenci

In today’s fast-paced business environment, Real Time Inventory Visibility Software has emerged as a crucial tool for businesses aiming to optimize their supply chain operations and enhance customer satisfaction. This software allows companies to gain a comprehensive view of their inventory across various locations

The lip gloss market has evolved significantly over the years, transitioning from a niche beauty product to a staple in many consumers' cosmetic collections. Today, lip gloss serves not just as a cosmetic enhancement, providing a shiny, luscious appearance, but also as a functional product that hydrates and nourishe

The Software-Defined Network (SDN) Switch market is rapidly gaining traction, driven by the increasing demand for network automation and flexibility in various industries. As businesses today seek to enhance operational efficiency and streamline their IT infrastructure, SDN technology emerges as a vital solution, al

The Salvia Extract market is gaining significant traction across various sectors, including pharmaceuticals, cosmetics, and food and beverages, due to its diverse applications and therapeutic properties. Salvia, a genus of plants that includes sage, has been used traditionally for centuries. Today, with increasing c