The main stock market index of United States, the US500, fell to 6236 points on July 4, 2025, losing 0.69% from the previous session. Over the past month, the index has climbed 4.99% and is up 12.01% 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 July 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.

China's main stock market index, the SHANGHAI, rose to 3461 points on July 3, 2025, gaining 0.18% from the previous session. Over the past month, the index has climbed 2.52% and is up 17.03% 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 July 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.

India's main stock market index, the SENSEX, fell to 83239 points on July 3, 2025, losing 0.20% from the previous session. Over the past month, the index has climbed 2.77% and is up 3.98% 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 July 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.

France's main stock market index, the FR40, rose to 7751 points on July 3, 2025, gaining 0.16% from the previous session. Over the past month, the index has declined 0.69%, though it remains 0.71% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on July of 2025.

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.

Israel's main stock market index, the TA-125, rose to 3107 points on July 3, 2025, gaining 0.91% from the previous session. Over the past month, the index has climbed 14.08% and is up 55.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on July 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

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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.

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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

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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

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.

Can we predict stock market using machine learning? (WY Stock Forecast)

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

United States FCI-G Index: 1-Yr Lookback: Stock Market data was reported at -0.084 Index in Mar 2025. This records an increase from the previous number of -0.306 Index for Feb 2025. United States FCI-G Index: 1-Yr Lookback: Stock Market data is updated monthly, averaging -0.212 Index from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 1.267 Index in Feb 2009 and a record low of -0.864 Index in Mar 2021. United States FCI-G Index: 1-Yr Lookback: Stock Market data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.S021: Financial Conditions Impulse on Growth.

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

Spain's main stock market index, the ES35, rose to 14183 points on July 3, 2025, gaining 0.99% from the previous session. Over the past month, the index has climbed 0.58% and is up 28.16% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Spain. Spain Stock Market Index (ES35) - values, historical data, forecasts and news - updated on July of 2025.

Euro Area's main stock market index, the EU50, fell to 5322 points on July 4, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.64%, though it remains 6.88% 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 July of 2025.

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.

At the end of February 2025, the DAX index reached 22,551.43 points, marking its highest level since January 2015. Moreover, this also reflected a strong recovery from the global coronavirus (COVID-19) pandemic, having risen from 9,935.84 points at the end of March 2020 and surpassing its pre-pandemic level of approximately 13,249.01 points at the end of December 2019. Origin and composition of the DAX Index The DAX (Deutscher Aktienindex) is the most important German stock index, showing the value trends of the 40 largest companies by market capitalization listed on the Frankfurt stock exchange. The DAX index was introduced on July 1, 1988 and is a continuation of the Börsen-Zeitung Index, established in 1959. The count among their number some of the most recognizable companies in the world, such as carmakers Volkswagen and Daimler, sportswear brand adidas, and industrial giants Siemens and BASF. After the DAX, the 50 next-largest German companies are included in the midcap MDAX index, while the 70 next-largest small and medium-sized German companies (ranked from 91 to 160) are included in the SDAX index. The Frankfurt Stock Exchange All the companies included in the DAX family of indices are traded on the Frankfurt Stock Exchange. Dating back to 1585, the Frankfurt Stock Exchange is considered to be the oldest exchange in the world. It is the twelfth largest stock exchange in the world in terms of market capitalization, and accounts for around 90 percent of all equity trading in Germany. Two main trading venues comprise the Frankfurt Stock Exchange: the Börse Frankfurt is a traditional trading floor; while the Xetra is an electronic trading system which accounts for the vast majority of trading volume on Frankfurt Stock Exchange. As of December 2023, the total market capitalization of all companies listed on the Frankfurt Stock Exchange was around two trillion euros.

Stock market forecasting is one of the most challenging problems in today’s financial markets. According to the efficient market hypothesis, it is almost impossible to predict the stock market with 100% accuracy. However, Machine Learning (ML) methods can improve stock market predictions to some extent. In this paper, a novel strategy is proposed to improve the prediction efficiency of ML models for financial markets. Nine ML models are used to predict the direction of the stock market. First, these models are trained and validated using the traditional methodology on a historic data captured over a 1-day time frame. Then, the models are trained using the proposed methodology. Following the traditional methodology, Logistic Regression achieved the highest accuracy of 85.51% followed by XG Boost and Random Forest. With the proposed strategy, the Random Forest model achieved the highest accuracy of 91.27% followed by XG Boost, ADA Boost and ANN. In the later part of the paper, it is shown that only classification report is not sufficient to validate the performance of ML model for stock market prediction. A simulation model of the financial market is used in order to evaluate the risk, maximum draw down and returns associate with each ML model. The overall results demonstrated that the proposed strategy not only improves the stock market returns but also reduces the risks associated with each ML model.

The stock market today saw mixed results with major U.S. stock indexes closing higher, while crude oil prices experienced a decline. Factors including a tech sell-off, economic recovery concerns, stimulus package delays, demand outlook, OPEC+ production increase, and U.S. inventory buildup influenced the market and oil prices.

The latest closing stock price for Exxon as of June 27, 2025 is 109.38. An investor who bought $1,000 worth of Exxon stock at the IPO in 1984 would have $41,833 today, roughly 42 times their original investment - a 9.60% compound annual growth rate over 41 years. The all-time high Exxon stock closing price was 122.12 on October 07, 2024. The Exxon 52-week high stock price is 126.34, which is 15.5% above the current share price. The Exxon 52-week low stock price is 97.80, which is 10.6% below the current share price. The average Exxon stock price for the last 52 weeks is 112.58. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.