66 datasets found
  1. Share of Americans investing money in the stock market 1999-2025

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Share of Americans investing money in the stock market 1999-2025 [Dataset]. https://www.statista.com/statistics/270034/percentage-of-us-adults-to-have-money-invested-in-the-stock-market/
    Explore at:
    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1999 - 2025
    Area covered
    United States
    Description

    In 2025, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the financial crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

  2. US Stock Metrics & Performance

    • kaggle.com
    zip
    Updated Dec 13, 2023
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    Jeremy Larcher (2023). US Stock Metrics & Performance [Dataset]. https://www.kaggle.com/datasets/jeremylarcher/us-stock-metrics-and-performance
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    zip(1188103 bytes)Available download formats
    Dataset updated
    Dec 13, 2023
    Authors
    Jeremy Larcher
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    All data acquired on December 11th 2023

    1) Ticker: Stock symbol identifying the company.

    2) Company: Name of the company.

    3) Sector: Industry category to which the company belongs.

    4) Industry: Specific sector or business category of the company.

    5) Country: Country where the company is based.

    6) Market Cap: Total market value of a company's outstanding shares.

    7) Price: Current stock price.

    8) Change (%): Percentage change in stock price.

    9) Volume: Number of shares traded.

    10) Price to Earnings Ratio: Ratio of stock price to earnings per share.

    11) Price to Earnings: Price-to-earnings ratio based on past earnings.

    12) Forward Price to Earnings: Expected price-to-earnings ratio.

    13) Price/Earnings to Growth: Ratio of P/E to earnings growth.

    14) Price to Sales: Ratio of stock price to annual sales.

    15) Price to Book: Ratio of stock price to book value.

    16) Price to Cash: Ratio of stock price to cash per share.

    17) Price to Free Cash Flow: Ratio of stock price to free cash flow.

    18) Earnings Per Share This Year (%): Percentage change in earnings per share for the current year.

    19) Earnings Per Share Next Year (%): Percentage change in earnings per share for the next year.

    20) Earnings Per Share Past 5 Years (%): Percentage change in earnings per share over the past 5 years.

    21) Earnings Per Share Next 5 Years (%): Estimated percentage change in earnings per share over the next 5 years.

    22) Sales Past 5 Years (%): Percentage change in sales over the past 5 years.

    23) Dividend (%): Dividend yield as a percentage of the stock price.

    24) Return on Assets (%): Percentage return on total assets.

    25) Return on Equity (%): Percentage return on shareholder equity.

    26) Return on Investment (%): Percentage return on total investment.

    27) Current Ratio: Ratio of current assets to current liabilities.

    28) Quick Ratio: Ratio of liquid assets to current liabilities.

    29) Long-Term Debt to Equity: Ratio of long-term debt to shareholder equity.

    30) Debt to Equity: Ratio of total debt to shareholder equity.

    31) Gross Margin (%): Percentage difference between revenue and cost of goods sold.

    32) Operating Margin (%): Percentage of operating income to revenue.

    33) Profit Margin: Percentage of net income to revenue.

    34) Earnings: Net income of the company.

    35) Outstanding Shares: Total number of shares issued by the company.

    36) Float: Tradable shares available to the public.

    37) Insider Ownership (%): Percentage of company owned by insiders.

    38) Insider Transactions: Recent insider buying or selling activity.

    39) Institutional Ownership (%): Percentage of company owned by institutional investors.

    40) Float Short (%): Percentage of tradable shares sold short by investors.

    41) Short Ratio: Number of days it would take to cover short positions.

    42) Average Volume: Average number of shares traded daily.

    43) Performance (Week) (%): Weekly stock performance percentage.

    44) Performance (Month) (%): Monthly stock performance percentage.

    45) Performance (Quarter) (%): Quarterly stock performance percentage.

    46) Performance (Half Year) (%): Semi-annual stock performance percentage.

    47) Performance (Year) (%): Annual stock performance percentage.

    48) Performance (Year to Date) (%): Year-to-date stock performance percentage.

    49) Volatility (Week) (%): Weekly stock price volatility percentage.

    50) Volatility (Month) (%): Monthly stock price volatility percentage.

    51) Analyst Recommendation: Analyst consensus recommendation on the stock.

    52) Relative Volume: Volume compared to the average volume.

    53) Beta: Measure of stock price volatility relative to the market.

    54) Average True Range: Average price range of a stock.

    55) Simple Moving Average (20) (%): Percentage difference from the 20-day simple moving average.

    56) Simple Moving Average (50) (%): Percentage difference from the 50-day simple moving average.

    57) Simple Moving Average (200) (%): Percentage difference from the 200-day simple moving average.

    58) Yearly High (%): Percentage difference from the yearly high stock price.

    59) Yearly Low (%): Percentage difference from the yearly low stock price.

    60) Relative Strength Index: Momentum indicator measuring the speed and change of price movements.

    61) Change from Open (%): Percentage change from the opening stock price.

    62) Gap (%): Percentage difference between the previous close and the current open price.

    63) Volume: Total number of shares traded.

  3. Countries with largest stock markets globally 2025

    • statista.com
    Updated Nov 29, 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
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    Worldwide
    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.

  4. T

    United States Stock Market Index Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated Dec 2, 2025
    + more versions
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    TRADING ECONOMICS (2025). United States Stock Market Index Data [Dataset]. https://tradingeconomics.com/united-states/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    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 3, 1928 - Dec 2, 2025
    Area covered
    United States
    Description

    The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, 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 December of 2025.

  5. Largest YTD percentage gains of U.S. listed stocks 2025, by company

    • statista.com
    Updated Apr 10, 2025
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    Statista (2025). Largest YTD percentage gains of U.S. listed stocks 2025, by company [Dataset]. https://www.statista.com/statistics/1343139/largest-ytd-stock-losses-united-states/
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    Dataset updated
    Apr 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 10, 2025
    Area covered
    United States
    Description

    As of April 10, 2025 , *************************** experienced the largest year-to-date (YTD) increase in stock price. The company's stock value increased by ****** percent - which was higher than *************************************, in second place, growing by ****** percent.

  6. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Dec 1, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Dec 1, 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.

  7. Weekly development Dow Jones Industrial Average Index 2020-2025

    • statista.com
    Updated Mar 15, 2025
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    Statista (2025). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
    Explore at:
    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

  8. F

    Households and Nonprofit Organizations; Directly and Indirectly Held...

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
    + more versions
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    (2025). Households and Nonprofit Organizations; Directly and Indirectly Held Corporate Equities as a Percentage of Financial Assets; Assets, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL153064486Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Households and Nonprofit Organizations; Directly and Indirectly Held Corporate Equities as a Percentage of Financial Assets; Assets, Level (BOGZ1FL153064486Q) from Q4 1945 to Q2 2025 about nonprofit organizations, equity, percent, households, assets, and USA.

  9. F

    Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th...

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
    + more versions
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    (2025). Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBST01122
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 19, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Share of Corporate Equities and Mutual Fund Shares Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01122) from Q3 1989 to Q2 2025 about mutual funds, wealth, equity, percentile, corporate, and USA.

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

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

    The value of the DJIA index amounted to ****** at the end of June 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.

  11. Stock & Commodity Exchanges in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jan 15, 2025
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    IBISWorld (2025). Stock & Commodity Exchanges in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/stock-commodity-exchanges-industry/
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Description

    Sharp economic volatility, the continued effects of high interest rates and mixed sentiment among investors created an uneven landscape for stock and commodity exchanges. While trading volumes soared in 2020 due to the pandemic and favorable financial conditions, such as zero percent interest rates from the Federal Reserve, the continued effects of high inflation in 2022 and 2023 resulted in a hawkish pivot on interest rates, which curtailed ROIs across major equity markets. Geopolitical volatility amid the Ukraine-Russia and Israel-Hamas wars further exacerbated trade volatility, as many investors pivoted away from traditional equity markets into derivative markets, such as options and futures to better hedge on their investment. Nonetheless, the continued digitalization of trading markets bolstered exchanges, as they were able to facilitate improved client service and stronger market insights for interested investors. Revenue grew an annualized 0.1% to an estimated $20.9 billion over the past five years, including an estimated 1.9% boost in 2025. A core development for exchanges has been the growth of derivative trades, which has facilitated a significant market niche for investors. Heightened options trading and growing attraction to agricultural commodities strengthened service diversification among exchanges. Major companies, such as CME Group Inc., introduced new tradeable food commodities for investors in 2024, further diversifying how clients engage in trades. These trends, coupled with strengthened corporate profit growth, bolstered exchanges’ profit. Despite current uncertainty with interest rates and the pervasive fear over a future recession, the industry is expected to do well during the outlook period. Strong economic conditions will reduce investor uncertainty and increase corporate profit, uplifting investment into the stock market and boosting revenue. Greater levels of research and development will expand the scope of stocks offered because new companies will spring up via IPOs, benefiting exchange demand. Nonetheless, continued threat from substitutes such as electronic communication networks (ECNs) will curtail larger growth, as better technology will enable investors to start trading independently, but effective use of electronic platforms by incumbent exchange giants such as NASDAQ Inc. can help stem this decline by offering faster processing via electronic trade floors and prioritizing client support. Overall, revenue is expected to grow an annualized 3.5% to an estimated $24.8 billion through the end of 2031.

  12. Top 500 US Stocks Data

    • kaggle.com
    zip
    Updated Apr 6, 2025
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    Atul Yadav (2025). Top 500 US Stocks Data [Dataset]. https://www.kaggle.com/datasets/atul2501a/top-500-us-stocks-data
    Explore at:
    zip(19932 bytes)Available download formats
    Dataset updated
    Apr 6, 2025
    Authors
    Atul Yadav
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Sure! Here's a copy-paste friendly version of the dataset details you can use directly in your Kaggle dataset description:

    📊 Dataset Title: Top 500+ US Stocks - Price, Volume, Market Cap & More (2025)

    🧾 Overview

    This dataset provides detailed information on over 500 publicly traded US companies, including their current stock price, volume, market capitalization, P/E ratio, and performance indicators such as daily change and 52-week change. It is ideal for financial analysis, algorithmic trading models, or studying market behavior.

    📁 Dataset Information

    • File Name: stocks.csv
    • Total Rows: 529
    • Total Columns: 10
    • File Size: ~94 KB
    • Encoding: UTF-8
    • Format: CSV

    📌 Column Descriptions

    Column NameTypeDescription
    SymbolobjectTicker symbol of the stock (e.g., AAPL, TSLA)
    NameobjectFull company name
    Price(USD)float64Current stock price in USD
    Changefloat64Daily price change (USD)
    Change %float64Daily percentage change in price
    Volume_Mfloat64Current trading volume in millions
    Avg_Vol_3mfloat64Average 3-month trading volume (millions)
    Market_Cap_Bfloat64Market capitalization in billions USD
    PE_Ratiofloat64Price-to-Earnings ratio (NaN for companies with negative earnings)
    52_WK_Change %float64Percentage change in price over the last 52 weeks

    📈 Usage Ideas

    • Build a stock screener
    • Analyze price performance vs. market cap
    • Train machine learning models for price prediction
    • Explore relationships between volume, P/E ratio, and growth
    • Filter stocks based on volatility or long-term growth
  13. F

    Stock Market Capitalization to GDP for United States

    • fred.stlouisfed.org
    json
    Updated May 7, 2024
    + more versions
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    (2024). Stock Market Capitalization to GDP for United States [Dataset]. https://fred.stlouisfed.org/series/DDDM01USA156NWDB
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 7, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Stock Market Capitalization to GDP for United States (DDDM01USA156NWDB) from 1975 to 2020 about market cap, stock market, capital, GDP, and USA.

  14. T

    United States Stock Market Index (US30) - Index Price | Live Quote |...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). United States Stock Market Index (US30) - Index Price | Live Quote | Historical Chart | Trading Economics [Dataset]. https://tradingeconomics.com/indu:ind
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    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, 2000 - Dec 2, 2025
    Area covered
    United States
    Description

    Prices for United States Stock Market Index (US30) including live quotes, historical charts and news. United States Stock Market Index (US30) was last updated by Trading Economics this December 2 of 2025.

  15. Largest stock exchange operators worldwide 2025, by market capitalization

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Largest stock exchange operators worldwide 2025, by market capitalization [Dataset]. https://www.statista.com/statistics/270126/largest-stock-exchange-operators-by-market-capitalization-of-listed-companies/
    Explore at:
    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2025
    Area covered
    Worldwide
    Description

    The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of almost ** trillion U.S. dollars as of November 2025. The following largest three exchanges were the NASDAQ, PINK Exchange, and the Frankfurt Exchange. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

  16. U

    United States Market Capitalization: % of GDP

    • ceicdata.com
    Updated Mar 15, 2025
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    CEICdata.com (2025). United States Market Capitalization: % of GDP [Dataset]. https://www.ceicdata.com/en/indicator/united-states/market-capitalization--nominal-gdp
    Explore at:
    Dataset updated
    Mar 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
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    United States
    Description

    Key information about United States Market Capitalization: % of GDP

    • United States Market Capitalization accounted for 155.0 % of its Nominal GDP in Dec 2022, compared with a percentage of 205.0 % in the previous year
    • US Market Capitalization: % Nominal GDP is updated yearly, available from Dec 1975 to Dec 2022
    • The data reached an all-time high of 205.0 % in Dec 2021 and a record low of 36.7 % in Dec 1978

    The World Bank provides annual Market Capitalization as % of Nominal GDP. Market Capitalization includes domestic companies listed at the end of the year and excludes investment companies, mutual funds and other collective investment vehicles

  17. Stock Portfolio Data with Prices and Indices

    • kaggle.com
    zip
    Updated Mar 23, 2025
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    Nikita Manaenkov (2025). Stock Portfolio Data with Prices and Indices [Dataset]. https://www.kaggle.com/datasets/nikitamanaenkov/stock-portfolio-data-with-prices-and-indices
    Explore at:
    zip(1573175 bytes)Available download formats
    Dataset updated
    Mar 23, 2025
    Authors
    Nikita Manaenkov
    License

    https://www.gnu.org/licenses/gpl-3.0.htmlhttps://www.gnu.org/licenses/gpl-3.0.html

    Description

    This dataset consists of five CSV files that provide detailed data on a stock portfolio and related market performance over the last 5 years. It includes portfolio positions, stock prices, and major U.S. market indices (NASDAQ, S&P 500, and Dow Jones). The data is essential for conducting portfolio analysis, financial modeling, and performance tracking.

    1. Portfolio

    This file contains the portfolio composition with details about individual stock positions, including the quantity of shares, sector, and their respective weights in the portfolio. The data also includes the stock's closing price.

    • Columns:
      • Ticker: The stock symbol (e.g., AAPL, TSLA)
      • Quantity: The number of shares in the portfolio
      • Sector: The sector the stock belongs to (e.g., Technology, Healthcare)
      • Close: The closing price of the stock
      • Weight: The weight of the stock in the portfolio (as a percentage of total portfolio)

    2. Portfolio Prices

    This file contains historical pricing data for the stocks in the portfolio. It includes daily open, high, low, close prices, adjusted close prices, returns, and volume of traded stocks.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol
      • Open: The opening price of the stock on that day
      • High: The highest price reached on that day
      • Low: The lowest price reached on that day
      • Close: The closing price of the stock
      • Adjusted: The adjusted closing price after stock splits and dividends
      • Returns: Daily percentage return based on close prices
      • Volume: The volume of shares traded that day

    3. NASDAQ

    This file contains historical pricing data for the NASDAQ Composite index, providing similar data as in the Portfolio Prices file, but for the NASDAQ market index.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol (for NASDAQ index, this will be "IXIC")
      • Open: The opening price of the index
      • High: The highest value reached on that day
      • Low: The lowest value reached on that day
      • Close: The closing value of the index
      • Adjusted: The adjusted closing value after any corporate actions
      • Returns: Daily percentage return based on close values
      • Volume: The volume of shares traded

    4. S&P 500

    This file contains similar historical pricing data, but for the S&P 500 index, providing insights into the performance of the top 500 U.S. companies.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol (for S&P 500 index, this will be "SPX")
      • Open: The opening price of the index
      • High: The highest value reached on that day
      • Low: The lowest value reached on that day
      • Close: The closing value of the index
      • Adjusted: The adjusted closing value after any corporate actions
      • Returns: Daily percentage return based on close values
      • Volume: The volume of shares traded

    5. Dow Jones

    This file contains similar historical pricing data for the Dow Jones Industrial Average, providing insights into one of the most widely followed stock market indices in the world.

    • Columns:
      • Date: The date of the data point
      • Ticker: The stock symbol (for Dow Jones index, this will be "DJI")
      • Open: The opening price of the index
      • High: The highest value reached on that day
      • Low: The lowest value reached on that day
      • Close: The closing value of the index
      • Adjusted: The adjusted closing value after any corporate actions
      • Returns: Daily percentage return based on close values
      • Volume: The volume of shares traded

    Personal Portfolio Data

    This data is received using a custom framework that fetches real-time and historical stock data from Yahoo Finance. It provides the portfolio’s data based on user-specific stock holdings and performance, allowing for personalized analysis. The personal framework ensures the portfolio data is automatically retrieved and updated with the latest stock prices, returns, and performance metrics.

    This part of the dataset would typically involve data specific to a particular user’s stock positions, weights, and performance, which can be integrated with the other files for portfolio performance analysis.

  18. T

    United Kingdom Stock Market Index (GB100) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). United Kingdom Stock Market Index (GB100) Data [Dataset]. https://tradingeconomics.com/united-kingdom/stock-market
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    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 3, 1984 - Dec 2, 2025
    Area covered
    United Kingdom
    Description

    United Kingdom's main stock market index, the GB100, fell to 9690 points on December 2, 2025, losing 0.13% from the previous session. Over the past month, the index has declined 0.12%, though it remains 15.91% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on December of 2025.

  19. Venture Capital & Principal Trading in the US - Market Research Report...

    • ibisworld.com
    Updated Jul 8, 2025
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    IBISWorld (2025). Venture Capital & Principal Trading in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/venture-capital-principal-trading-industry/
    Explore at:
    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Venture capital (VC) and principal trading have been integral to the start-up ecosystem for many years, providing crucial funding for entrepreneurs and start-ups. The industry has undergone significant changes in recent years, benefiting from rising security prices, increased trading volumes, unprecedented investment opportunities and more merger and acquisition activity. The expanding adoption of technology and artificial intelligence across industries has further heightened demand for venture capital firms. VC and principal trading revenue will climb at a CAGR of 7.7% to $82.7 billion over the five years to 2025, including an expected increase of 4.3% in 2025 alone. Also, industry profit has climbed and will comprise 41.3% of industry revenue in the current year. The stock market has primarily been strong in recent years. Venture capitalists benefit from the high valuation on the exit of IPOs and acquisitions of successful start-up investments, while principal traders who are enjoying the continued appreciation of their assets will see capital gains on their portfolios. A heightened appetite for mergers and acquisitions, driven by a combination of low interest rates and corporate tax cuts early during the period, has also benefited venture capital firms. The jump in interest rates in the middle of the period hindered the number of mergers and acquisitions, but following the interest rate cut in the latter part of the period, merger and acquisition activity is set to climb. In addition, reduced rates will strengthen market liquidity and empower venture capital firms to expand their investments across a broader range of businesses and markets. VC and principal trading will continue evolving in the coming years, driven by technological advancements and economic changes. With the growth of environmental, social and governance (ESG) investing, there will be an increased focus on environmentally and socially responsible start-ups. Interest rate cuts and inflation subsiding will benefit leveraged traders and overall access to capital. In addition, modestly increasing disposable income and maintaining spending on research and development will boost revenue in the coming years, though at a slower rate. In addition, with the growing use of AI, venture capital firms will seek to invest in energy companies such as nuclear energy in order to fuel the energy demand for AI technology and data centers. Overall, venture capital and principal trading revenue will grow at a CAGR of 3.0% to $95.7 billion over the five years to 2030.

  20. High-Tech Companies on NASDAQ

    • kaggle.com
    zip
    Updated Feb 11, 2023
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    The Devastator (2023). High-Tech Companies on NASDAQ [Dataset]. https://www.kaggle.com/datasets/thedevastator/high-tech-companies-on-nasdaq
    Explore at:
    zip(392448 bytes)Available download formats
    Dataset updated
    Feb 11, 2023
    Authors
    The Devastator
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    High-Tech Companies on NASDAQ

    Market Capitalization and Performance Metrics

    By [source]

    About this dataset

    This dataset offers an insightful look into the performance of high-tech companies listed on the NASDAQ exchange in the United States. With information pertaining to over 8,000 companies in the electronics, computers, telecommunications, and biotechnology sectors, this is an incredibly useful source of insight for researchers, traders, investors and data scientists interested in acquiring information about these firms.

    The dataset includes detailed variables such as stock symbols and names to provide quick identification of individual companies along with pricing changes and percentages from the previous day’s value as well as sector and industry breakdowns for comprehensive analysis. Other metrics like market capitalization values help to assess a firm’s relative size compared to competitors while share volume data can give a glimpse into how actively traded each company is. Additionally provided numbers include earnings per share breakdowns to gauge profits along with dividend pay date symbols for yield calculation purposes as well as beta values that further inform risk levels associated with investing in particular firms within this high-tech sector. Finally this dataset also collects any potential errors found amongst such extensive scrapes of company performance data giving users valuable reassurance no sensitive areas are missed when assessing various firms on an individual basis or all together as part of an overarching system

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    This dataset is invaluable for researchers, traders, investors and data scientists who want to obtain the latest information about high-tech companies listed on the NASDAQ exchange in the United States. It contains data on more than 8,000 companies from a wide range of sectors such as electronics, computers, telecommunications, biotechnology and many more. In this guide we will learn how to use this dataset effectively.

    Basics: The basics of working with this dataset include understanding various columns like symbol, name, price,pricing_changes, pricing_percentage_changes,sector,industry,market_cap,share_volume,earnings_per_share. Each column is further described below: - Symbol: This column gives you the stock symbol of the company. (String) - Name: This column gives you the name of the company. (String)
    - Price: The current price of each stock given by symbol is mentioned here.(Float) - Pricing Changes: This represents change in stock price from previous day.(Float) - Pricing Percentage Changes :This provides percentage change in stock prices from previous day.(Float) - Sector : It give information about sector in which company belongs .(String). - Industry : Describe industry in which company lies.(string). - Market Capitalization : Give market capitalization .(String). - Share Volume : It refers to number share traded last 24 hrs.(Integer). - Earnings Per Share : It refer to earnings per share per Stock yearly divided by Dividend Yield ,Symbol Yield and Beta .It also involves Errors related with Data Set so errors specified here proviedes details regarding same if any errors occured while collecting data set or manipulation on it.. (float/string )

    Advanced Use Cases: Now that we understand what each individual feature stands for it's time to delve deeper into optimizing returns using this data set as basis for our decision making processes such as selecting right portfolio formation techniques or selecting stocks wisely contrarian investment style etc. We can do a comparison using multiple factors like Current Price followed by Price Change percentage or Earnings feedback loop which would help us identify Potentially Undervalued investments both Short Term & Long Term ones at same time and We could dive into analysis showing Relationship between Price & Volumne across Sectors and

    Research Ideas

    • Analyzing stock trends - The dataset enables users to make informed decisions by tracking and analyzing changes in indicators such as price, sector, industry or market capitalization trends over time.
    • Exploring correlations between different factors - By exploring the correlation between different factors such as pricing changes, earning per share or beta etc., it enables us to get a better understanding of how these elements influence each other and what implications it may have on our investments

    Acknowledgements

    &g...

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Statista (2025). Share of Americans investing money in the stock market 1999-2025 [Dataset]. https://www.statista.com/statistics/270034/percentage-of-us-adults-to-have-money-invested-in-the-stock-market/
Organization logo

Share of Americans investing money in the stock market 1999-2025

Explore at:
17 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 19, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
1999 - 2025
Area covered
United States
Description

In 2025, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the financial crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

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