This statistic depicts the average annual performance of the S&P BSE Sensex Index in India from years 2012 to 2024. In 2024, the year-end value S&P BSE Sensex Index was reported at *********, an increase from the previous year where the value was *********.

India's main stock market index, the SENSEX, fell to 82253 points on July 14, 2025, losing 0.30% from the previous session. Over the past month, the index has climbed 0.56% and is up 1.97% 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.

Stock market return (%, year-on-year) in India was reported at 21.5 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Key information about India Sensitive 30 (Sensex)

• India Sensitive 30 (Sensex) closed at 73,198.1 points in Feb 2025, compared with 77,500.6 points at the previous month end
• India Equity Market Index: Month End: BSE: Sensitive 30 (Sensex) data is updated monthly, available from Apr 1979 to Feb 2025, with an average number of 4,285.0 points
• The data reached an all-time high of 84,299.8 points in Sep 2024 and a record low of 115.6 points in Nov 1979

[COVID-19-IMPACT]


Further information about India Sensitive 30 (Sensex)

• In the latest reports, SENSEX recorded a daily P/E ratio of 20.6 in Mar 2025

The NYSE U.S. 100 Index tracks the prices of the largest U.S. stocks traded on the New York Stock Exchange and contains the largest U.S. companies ranked by market capitalization.After experience the steepest decrease in 2008, the value of the NYSE U.S. 100 Index increased nearly threefold in the next thirteen years, reaching ******** points as of the end of 2021. After decreasing in 2022, the value of the index increased again, reaching ******** points by the end of 2024.

India's main stock market index, the SENSEX, fell to 82500 points on July 11, 2025, losing 0.83% from the previous session. Over the past month, the index has climbed 0.99% and is up 2.46% 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.

Bombay Stock Exchange: Index: S&P BSE: SENSEX: Average data was reported at 35,298.947 1978-1979=100 in Nov 2018. This records an increase from the previous number of 34,518.844 1978-1979=100 for Oct 2018. Bombay Stock Exchange: Index: S&P BSE: SENSEX: Average data is updated monthly, averaging 5,648.982 1978-1979=100 from Jan 1990 (Median) to Nov 2018, with 347 observations. The data reached an all-time high of 38,061.525 1978-1979=100 in Aug 2018 and a record low of 678.846 1978-1979=100 in Feb 1990. Bombay Stock Exchange: Index: S&P BSE: SENSEX: Average data remains active status in CEIC and is reported by Reserve Bank of India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZA002: Bombay Stock Exchange: Indices (Monthly).

The Spanish IBEX 35 stock market closed at ****** index points at the end of 2024. The development of the IBEX 35 stock market index has experienced major fluctuations during the period under consideration. Since the very sharp decline in 2012, it noted a tentative increase, never yet reaching the pre-recession levels. In 2007, before plummeting as the crisis wreak havoc on the Spanish economy, the IBEX 35 recorded a record of ****** index points.

Shortly after the first COVID-19 cases were confirmed in the largest Latin American economies, some of the most important stock market indexes in the region plummeted. Compared to its closing quote on ***********, the Brazilian stock exchange index IBOVESPA showed the largest decrease among the stock indexes shown in this graph, surpassing a ** percent fall both in March and in April. On *******, 2020 the IBOVESPA decreased **** percent in value, and gradually recovered to *** percent on **********. Throughout the indicated period, Mexico's IPC index was the one maintaining most of its value, not having decreased more than ** percent since ***********.

Interactive chart of the Dow Jones Industrial Average (DJIA) stock market index for the last 100 years. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

According to Cognitive Market Research, the global stock market size will be USD 3645.2 million in 2024. It will expand at a compound annual growth rate (CAGR) of 13% from 2024 to 2031.

North America held the major market share for more than 40% of the global revenue with a market size of USD 1458.1 million in 2024 and will grow at a compound annual growth rate (CAGR) of 11.2% from 2024 to 2031.
Europe accounted for a market share of over 30% of the global revenue with a market size of USD 1093.6 million.
Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 838.4 million in 2024 and will grow at a compound annual growth rate (CAGR) of 15% from 2024 to 2031.
Latin America had a market share of more than 5% of the global revenue with a market size of USD 182.3 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.4% from 2024 to 2031.
Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 72.9 million in 2024 and will grow at a compound annual growth rate (CAGR) of 12.7% from 2024 to 2031.
The broker end users held the highest stock market revenue share in 2024.

Market Dynamics of Stock Market

Key Drivers for the Stock Market

Rising Demand for Real-Time Data and Analytics to be an Emerging Market Trend

The increasing need for real-time data and advanced analytics is a significant driver in the stock trading and investing market growth. Investors and traders require up-to-the-minute information on stock prices, market trends, and financial news to make informed decisions quickly. As financial markets become more dynamic and competitive, the ability to access and analyze real-time data becomes crucial for success. Trading applications that offer real-time updates, advanced charting tools, and detailed analytics provide users with a competitive edge by enabling them to react swiftly to market movements. This heightened demand for real-time insights fuels the development and adoption of sophisticated trading platforms that cater to both professional traders and retail investors seeking to maximize their investment opportunities.

Increasing Adoption of Mobile Trading Platforms to Boost Market Growth

The rapid adoption of mobile trading platforms is another key driver for the stock market expansion. With the proliferation of smartphones and mobile internet access, investors are increasingly favoring mobile platforms for their trading activities due to their convenience and accessibility. Mobile trading apps offer users the ability to trade, monitor portfolios, and access financial information on the go, which appeals to both active traders and casual investors. This shift towards mobile platforms is supported by innovations in-app functionality, user experience, and security features. As more investors seek flexibility and real-time engagement with their investments, the demand for sophisticated and user-friendly mobile trading applications continues to rise, propelling market growth.

Restraint Factor for the Stock Market

Stringent Rules and Regulations to Impede the Adoption of Online Trading Platforms

Regulatory compliance and legal challenges are major restraints for the stock trading and investing market share. The financial industry is heavily regulated, with strict rules governing trading practices, data protection, and financial disclosures. Compliance with these regulations requires substantial investment in legal expertise, technology, and administrative processes. Changes in regulations can also introduce uncertainty and additional compliance costs for application providers. For example, regulations such as the Markets in Financial Instruments Directive II (MiFID II) in Europe and the Dodd-Frank Act in the U.S. impose stringent requirements on trading practices and transparency. Failure to adhere to these regulations can result in legal penalties and damage to a company’s reputation, which can inhibit market growth and innovation in trading applications.

Market Volatility and Investor Uncertainty

The stock market is highly sensitive to global economic conditions, geopolitical tensions, interest rate fluctuations, and unexpected events (such as pandemics or wars). This inherent volatility can lead to sharp declines in investor confidence and capital outflows, especially among retai...

As of March 2024, the S&P BSE MidCap Index fund, listed on the Bombay Stock Exchange (BSE) in India, recorded the highest annual performance with an increase of approximately ** percent over the past 12 months. On the other hand, S&P BSE Sensex, an index that reflects the performance of the top 30 Indian companies traded on the BSE, showed an increase of nearly ** percent.

Sweden's main stock market index, the Stockholm, fell to 2545 points on July 11, 2025, losing 1.37% from the previous session. Over the past month, the index has climbed 2.56%, though it remains 3.25% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Sweden. Sweden 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.

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.

PEAK Options & Futures Prediction

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

Interactive chart of the S&P 500 stock market index since 1927. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

The main stock market index of United States, the US500, fell to 6226 points on July 14, 2025, losing 0.54% from the previous session. Over the past month, the index has climbed 3.20% and is up 10.56% 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.

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.

Sensex Soars to New Record High on Hopes of Strong Economic Growth

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

Key information about India Market Capitalization: % of GDP

• India Market Capitalization accounted for 133.5 % of its Nominal GDP in Dec 2024, compared with a percentage of 120.9 % in the previous year
• India Market Capitalization: % Nominal GDP is updated yearly, available from Dec 1993 to Dec 2024
• The data reached an all-time high of 146.4 % in Dec 2007 and a record low of 23.0 % in Dec 2001

CEIC calculates annual Market Capitalization as % of Nominal GDP from monthly Market Capitalization and annual Nominal GDP. BSE Limited provides Market Capitalization in local currency. The Ministry of Statistics and Programme Implementation provides Nominal GDP in local currency. Nominal GDP is reported in annual frequency, ending in March of each year.


Further information about India Market Capitalization: % of GDP

• In the latest reports, SENSEX recorded a daily P/E ratio of 20.6 in Mar 2025
• Sensitive 30 (Sensex) closed at 73,198.1 points in Feb 2025

Graph and download economic data for Financial Market: Share Prices for India (SPASTT01INA661N) from 1957 to 2024 about India and stock market.