100+ datasets found
  1. Annual returns of Nasdaq 100 Index 1986-2024

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Annual returns of Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/1330833/nasdaq-100-index-annual-returns/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The annual returns of the Nasdaq 100 Index from 1986 to 2024. fluctuated significantly throughout the period considered. The Nasdaq 100 index saw its lowest performance in 2008, with a return rate of ****** percent, while the largest returns were registered in 1999, at ****** percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at ** percent. The Nasdaq 100 is a stock market index comprised of the 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. How has the Nasdaq 100 evolved over years? The Nasdaq 100, which was previously heavily influenced by tech companies during the dot-com boom, has undergone significant diversification. Today, it represents a broader range of high-growth, non-financial companies across sectors like consumer services and healthcare, reflecting the evolving landscape of the global economy. The annual development of the Nasdaq 100 recently has generally been positive, except for 2022, when the NASDAQ experienced a decline due to worries about escalating inflation, interest rates, and regulatory challenges. What are the leading companies on Nasdaq 100? In August 2023, ***** was the largest company on the Nasdaq 100, with a market capitalization of **** trillion euros. Also, ****************************************** were among the five leading companies included in the index. Market capitalization is one of the most common ways of measuring how big a company is in the financial markets. It is calculated by multiplying the total number of outstanding shares by the current market price.

  2. T

    United States - Stock Market Return (%, Year-on-year)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 8, 2017
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    TRADING ECONOMICS (2017). United States - Stock Market Return (%, Year-on-year) [Dataset]. https://tradingeconomics.com/united-states/stock-market-return-percent-year-on-year-wb-data.html
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jun 8, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    Stock market return (%, year-on-year) in United States was reported at 32.65 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. United States - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  3. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 3, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
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    jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    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.

  4. T

    India - Stock Market Return (%, Year-on-year)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 1, 2017
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    TRADING ECONOMICS (2017). India - Stock Market Return (%, Year-on-year) [Dataset]. https://tradingeconomics.com/india/stock-market-return-percent-year-on-year-wb-data.html
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Jul 1, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    India
    Description

    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.

  5. M

    Dow Jones - 10 Year Daily Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Dow Jones - 10 Year Daily Chart [Dataset]. https://www.macrotrends.net/1358/dow-jones-industrial-average-last-10-years
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart illustrating the performance of the Dow Jones Industrial Average (DJIA) market index over the last ten years. Each point of the stock market graph is represented by the daily closing price for the DJIA. Historical data can be downloaded via the red button on the upper left corner of the chart.

  6. Countries with largest stock markets globally 2025

    • statista.com
    Updated Jun 18, 2025
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    Statista (2025). Countries with largest stock markets globally 2025 [Dataset]. https://www.statista.com/statistics/710680/global-stock-markets-by-country/
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    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.

  7. M

    S&P 500 - 100 Year Historical Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). S&P 500 - 100 Year Historical Chart [Dataset]. https://www.macrotrends.net/2324/sp-500-historical-chart-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    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.

  8. M

    Dow Jones - 100 Year Historical Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Dow Jones - 100 Year Historical Chart [Dataset]. https://www.macrotrends.net/1319/dow-jones-100-year-historical-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    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.

  9. M

    S&P 500 - 10 Year Daily Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). S&P 500 - 10 Year Daily Chart [Dataset]. https://www.macrotrends.net/2488/sp500-10-year-daily-chart
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart of the S&P 500 stock market index over the last 10 years. Values shown are daily closing prices. The most recent value is updated on an hourly basis during regular trading hours.

  10. T

    Malaysia - Stock Market Return (%, Year-on-year)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 6, 2017
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    TRADING ECONOMICS (2017). Malaysia - Stock Market Return (%, Year-on-year) [Dataset]. https://tradingeconomics.com/malaysia/stock-market-return-percent-year-on-year-wb-data.html
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 6, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Malaysia
    Description

    Stock market return (%, year-on-year) in Malaysia was reported at 3.2716 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Malaysia - Stock market return (%, year-on-year) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

  11. Can we predict stock market using machine learning? (FZO Stock Forecast)...

    • kappasignal.com
    Updated Nov 21, 2022
    + more versions
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    KappaSignal (2022). Can we predict stock market using machine learning? (FZO Stock Forecast) (Forecast) [Dataset]. https://www.kappasignal.com/2022/11/can-we-predict-stock-market-using_20.html
    Explore at:
    Dataset updated
    Nov 21, 2022
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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? (FZO 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

  12. Monthly development Dow Jones Industrial Average Index 2018-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Mar 2025
    Area covered
    United States
    Description

    The value of the DJIA index amounted to ********* at the end of March 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

  13. M

    Cboe Global Markets ROE - Return on Equity 2010-2025 | CBOE

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Cboe Global Markets ROE - Return on Equity 2010-2025 | CBOE [Dataset]. https://www.macrotrends.net/stocks/charts/CBOE/cboe-global-markets/roe
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Cboe Global Markets return on equity for the quarter ending March 31, 2025 was 18.91. Cboe Global Markets average return on equity for 2024 was 19.35, a 15.11% decline from 2023. Cboe Global Markets average return on equity for 2023 was 16.81, a 97.76% increase from 2022. Cboe Global Markets average return on equity for 2022 was 8.5, a 37.68% increase from 2021. Roe - return on equity can be defined as the amount of net income returned as a percentage of shareholders equity. Return on equity measures a corporation's profitability by revealing how much profit a company generates with the money shareholders have invested.

  14. M

    Sprouts Farmers Market ROI - Return on Investment 2011-2025 | SFM

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). Sprouts Farmers Market ROI - Return on Investment 2011-2025 | SFM [Dataset]. https://www.macrotrends.net/stocks/charts/SFM/sprouts-farmers-market/roi
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Sprouts Farmers Market return on investment for the quarter ending March 31, 2025 was 34.04. Sprouts Farmers Market average return on investment for 2024 was 25.86, a 30.94% increase from 2023. Sprouts Farmers Market average return on investment for 2023 was 19.75, a 1.79% increase from 2022. Sprouts Farmers Market average return on investment for 2022 was 20.11, a 10.7% decline from 2021. Roi - return on investment can be defined as an indicator of how profitable a company is relative to its assets invested by shareholders and long-term bond holders. Calculated by dividing a company's operating earnings by its long-term debt and shareholders equity.

  15. Short/Long Term Stocks: LON:PMG Stock Forecast (Forecast)

    • kappasignal.com
    Updated Nov 10, 2022
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    KappaSignal (2022). Short/Long Term Stocks: LON:PMG Stock Forecast (Forecast) [Dataset]. https://www.kappasignal.com/2022/11/shortlong-term-stocks-lonpmg-stock.html
    Explore at:
    Dataset updated
    Nov 10, 2022
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    Short/Long Term Stocks: LON:PMG 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

  16. Average market risk premium in the U.S. 2011-2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Average market risk premium in the U.S. 2011-2024 [Dataset]. https://www.statista.com/statistics/664840/average-market-risk-premium-usa/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average market risk premium in the United States decreased slightly to *** percent in 2023. This suggests that investors demand a slightly lower return for investments in that country, in exchange for the risk they are exposed to. This premium has hovered between *** and *** percent since 2011. What causes country-specific risk? Risk to investments come from two main sources. First, inflation causes an asset’s price to decrease in real terms. A 100 U.S. dollar investment with three percent inflation is only worth ** U.S. dollars after one year. Investors are also interested in risks of project failure or non-performing loans. The unique U.S. context Analysts have historically considered the United States Treasury to be risk-free. This view has been shifting, but many advisors continue to use treasury yield rates as a risk-free rate. Given the fact that U.S. government securities are available at a variety of terms, this gives investment managers a range of tools for predicting future market developments.

  17. What are the most successful trading algorithms? (NTAP Stock Forecast)...

    • kappasignal.com
    Updated Sep 2, 2022
    + more versions
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    KappaSignal (2022). What are the most successful trading algorithms? (NTAP Stock Forecast) (Forecast) [Dataset]. https://www.kappasignal.com/2022/09/what-are-most-successful-trading.html
    Explore at:
    Dataset updated
    Sep 2, 2022
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    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.

    What are the most successful trading algorithms? (NTAP 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

  18. Annual performance of the Dow Jones Composite Index 2000-2024

    • statista.com
    Updated Mar 10, 2025
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    Statista (2025). Annual performance of the Dow Jones Composite Index 2000-2024 [Dataset]. https://www.statista.com/statistics/189758/dow-jones-composite-index-closing-year-end-values-since-2000/
    Explore at:
    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The Dow Jones Composite Index finished the year 2024 at 13,391.71 points, an increase compared to the previous year. Even with the economic effects of the global coronavirus (COVID-19) pandemic, 2021 had the highest point of the index in the past two decades. What is Dow Jones Composite Index? The Dow Jones Composite Index is one of the indices from the Dow Jones index family. It is composed of 65 leading U.S. companies: 30 stocks forming the Dow Jones Industrial Average index, 20 stocks from the Dow Jones Transportation index and 15 stocks from the Dow Jones Utility Average index. Importance of stock indices A stock market index shows an average performance of companies from a given section of the market. It is usually a weighted average, meaning that such factors as price of companies or their market capitalization are taken into consideration when calculating the index value. Stock indices are very useful for the financial market participants, as they instantly show the sentiments prevailing on a given market. They are also commonly used as a benchmark against portfolio performance, showing if a given portfolio has outperformed, or underperformed the market.

  19. C

    China CN: WMCP: Duration: Avg Annualized Rate of Return: Close-end Fixed...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: WMCP: Duration: Avg Annualized Rate of Return: Close-end Fixed Income Product: Up to 3 Month [Dataset]. https://www.ceicdata.com/en/china/puyi-standard-average-annualized-rate-of-return-duration-wealth-management-product/cn-wmcp-duration-avg-annualized-rate-of-return-closeend-fixed-income-product-up-to-3-month
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Description

    China WMCP: Duration: Avg Annualized Rate of Return: Close-end Fixed Income Product: Up to 3 Month data was reported at 2.340 % pa in Mar 2025. This records a decrease from the previous number of 3.270 % pa for Feb 2025. China WMCP: Duration: Avg Annualized Rate of Return: Close-end Fixed Income Product: Up to 3 Month data is updated monthly, averaging 3.425 % pa from Aug 2022 (Median) to Mar 2025, with 32 observations. The data reached an all-time high of 5.570 % pa in Apr 2023 and a record low of -2.190 % pa in Dec 2022. China WMCP: Duration: Avg Annualized Rate of Return: Close-end Fixed Income Product: Up to 3 Month data remains active status in CEIC and is reported by Puyi Standard. The data is categorized under China Premium Database’s Financial Market – Table CN.ZAM: Puyi Standard: Average Annualized Rate of Return: Duration: Wealth Management Product.

  20. M

    NASDAQ Composite - Historical Chart

    • macrotrends.net
    csv
    Updated Jul 31, 2025
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    MACROTRENDS (2025). NASDAQ Composite - Historical Chart [Dataset]. https://www.macrotrends.net/1320/nasdaq-historical-chart
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    csvAvailable download formats
    Dataset updated
    Jul 31, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    1971 - 2025
    Area covered
    United States
    Description

    Interactive chart of the NASDAQ Composite stock market index since 1971. 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.

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Statista (2025). Annual returns of Nasdaq 100 Index 1986-2024 [Dataset]. https://www.statista.com/statistics/1330833/nasdaq-100-index-annual-returns/
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Annual returns of Nasdaq 100 Index 1986-2024

Explore at:
Dataset updated
Jun 27, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

The annual returns of the Nasdaq 100 Index from 1986 to 2024. fluctuated significantly throughout the period considered. The Nasdaq 100 index saw its lowest performance in 2008, with a return rate of ****** percent, while the largest returns were registered in 1999, at ****** percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at ** percent. The Nasdaq 100 is a stock market index comprised of the 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. How has the Nasdaq 100 evolved over years? The Nasdaq 100, which was previously heavily influenced by tech companies during the dot-com boom, has undergone significant diversification. Today, it represents a broader range of high-growth, non-financial companies across sectors like consumer services and healthcare, reflecting the evolving landscape of the global economy. The annual development of the Nasdaq 100 recently has generally been positive, except for 2022, when the NASDAQ experienced a decline due to worries about escalating inflation, interest rates, and regulatory challenges. What are the leading companies on Nasdaq 100? In August 2023, ***** was the largest company on the Nasdaq 100, with a market capitalization of **** trillion euros. Also, ****************************************** were among the five leading companies included in the index. Market capitalization is one of the most common ways of measuring how big a company is in the financial markets. It is calculated by multiplying the total number of outstanding shares by the current market price.

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