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

    • statista.com
    Updated Nov 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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. Share of households owning mutual funds in the U.S. 1980-2024

    • statista.com
    Updated Apr 25, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2014). Share of households owning mutual funds in the U.S. 1980-2024 [Dataset]. https://www.statista.com/statistics/246224/mutual-funds-owned-by-american-households/
    Explore at:
    Dataset updated
    Apr 25, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, 54 percent of the households in the United States owned shares in a mutual fund. This is a significant increase on the 5.7 percent recorded in 1980, but close to 52 percent found in 2022.Mutual fundsA mutual fund is a variety of collective investment vehicle managed professionally that pools money from many investors to purchase securities. They play an important role in household finances in the United States of today, most notably in retirement planning. It is commonly applied only to the forms of collective investment that are regulated and are sold to the public at large. The majority of mutual funds are what is known as ‘open-ended’, meaning that shares can be bought or sold at anytime. There are a number of advantages associated with mutual funds as opposed to direct investment in individual securities. The nature of the fund as a collective investment vehicle provides increased diversification and ease of comparison to investors. The fact that they are managed professionally, and that the investment is pooled, enables participation in investments that would normally only be available to larger investors. Mutual funds are also stable in price as daily liquidity ensures minimum loss of value. Despite several advantages, as with every aspect of investment, some disadvantages are to be considered. Fees are an inevitable part of a professionally managed fund, as is the inability to customize the investment. A common complaint is also that the investor has less control over the timing of the recognition of their gains.

  3. 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
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (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.

  4. Number of people who own stocks in Germany 2019-2024

    • statista.com
    Updated Nov 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Number of people who own stocks in Germany 2019-2024 [Dataset]. https://www.statista.com/statistics/1365598/stock-ownership-households-germany/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 2024, around **** million people in Germany owned stocks.The Allensbach Market and Advertising Media Analysis (Allensbacher Markt- und Werbeträgeranalyse or AWA in German) determines attitudes, consumer habits and media usage of the population in Germany on a broad statistical basis.

  5. F

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

    • fred.stlouisfed.org
    json
    Updated Sep 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (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.

  6. F

    Share of Corporate Equities and Mutual Fund Shares Held by the 90th to 99th...

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Share of Corporate Equities and Mutual Fund Shares Held by the 90th to 99th Wealth Percentiles [Dataset]. https://fred.stlouisfed.org/series/WFRBSN09149
    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 90th to 99th Wealth Percentiles (WFRBSN09149) from Q3 1989 to Q2 2025 about mutual funds, wealth, equity, percentile, corporate, and USA.

  7. F

    Share of Corporate Equities and Mutual Fund Shares Held by the Bottom 50%...

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Share of Corporate Equities and Mutual Fund Shares Held by the Bottom 50% (1st to 50th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBSB50203
    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 Bottom 50% (1st to 50th Wealth Percentiles) (WFRBSB50203) from Q3 1989 to Q2 2025 about mutual funds, wealth, equity, percentile, corporate, and USA.

  8. Survey of Consumer Finances

    • federalreserve.gov
    Updated Oct 18, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Board of Governors of the Federal Reserve Board (2023). Survey of Consumer Finances [Dataset]. http://doi.org/10.17016/8799
    Explore at:
    Dataset updated
    Oct 18, 2023
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Board of Governors of the Federal Reserve Board
    Time period covered
    1962 - 2023
    Description

    The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

  9. Countries with largest stock markets globally 2025

    • statista.com
    Updated Nov 29, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Countries with largest stock markets globally 2025 [Dataset]. https://www.statista.com/statistics/710680/global-stock-markets-by-country/
    Explore at:
    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.

  10. d

    USA & Canada Insider Trading Data | 25+ Years Historic Data | Stock Market...

    • datarade.ai
    Updated Feb 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Smart Insider (2024). USA & Canada Insider Trading Data | 25+ Years Historic Data | Stock Market Data | Public Equity Market Data for Investment Management [Dataset]. https://datarade.ai/data-products/usa-canada-insider-trading-data-25-years-historic-data-smart-insider
    Explore at:
    .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Smart Insider
    Area covered
    Canada, United States
    Description

    When there is a vast variety of metrics and tools available to gain market insight, Insider trading offers valuable clues to investors related to future share performance. We at Smart Insider provide global insider trading data and analysis on share transactions made by directors & senior staff in the shares of their own companies.

    Monitoring all the insider trading activity is a huge task, we identify 'Smart Insiders' through specialist desktop and quantitative feeds that enable our clients to generate alpha.

    Our experienced analyst team use quantitative and qualitative methods to identify the stocks most likely to outperform based on deep analysis of insider trades, and the insiders themselves. Using our easy-to-read derived data we help our clients better understand insider transactions activity to make informed investment decisions.

    We provide full customization of reports delivered by desktop, through feeds, or alerts. Our quant clients can receive data in a variety of formats such as XML, XLSX or API via SFTP or Snowflake.

    Sample dataset for Desktop Service has been provided with some proprietary fields concealed. Upon request, we can provide a detailed Quant sample.

    Tags: Stock Market Data, Equity Market Data, Insider Transactions Data, Insider Trading Intelligence, Insider Trading Data, Investment Management, Alternative Investment, Asset Management, Equity Research, Market Analysis, United Sates of America, Canada, North America

  11. F

    Share of Financial Assets Held by the Top 1% (99th to 100th Wealth...

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Share of Financial Assets Held by the Top 1% (99th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBST01112
    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 Financial Assets Held by the Top 1% (99th to 100th Wealth Percentiles) (WFRBST01112) from Q3 1989 to Q2 2025 about wealth, percentile, financial, assets, and USA.

  12. T

    Aqua America | WTR - Market Capitalization

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    TRADING ECONOMICS (2016). Aqua America | WTR - Market Capitalization [Dataset]. https://tradingeconomics.com/wtr:us:market-capitalization
    Explore at:
    csv, xml, json, excelAvailable download formats
    Dataset updated
    May 30, 2016
    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

    Aqua America reported $10.76B in Market Capitalization this December of 2025, considering the latest stock price and the number of outstanding shares.Data for Aqua America | WTR - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last December in 2025.

  13. BML^H Bank of America Corporation Bank of America Corporation Depositary...

    • kappasignal.com
    Updated Dec 28, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    KappaSignal (2022). BML^H Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a Share of Floating Rate Non-Cumulative Preferred Stock Series 2) (Forecast) [Dataset]. https://www.kappasignal.com/2022/12/bmlh-bank-of-america-corporation-bank.html
    Explore at:
    Dataset updated
    Dec 28, 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.

    BML^H Bank of America Corporation Bank of America Corporation Depositary Shares (Each representing a 1/1200th interest in a Share of Floating Rate Non-Cumulative Preferred Stock Series 2)

    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

  14. c

    Global Trading Software Market Report 2025 Edition, Market Size, Share,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated May 31, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cognitive Market Research (2025). Global Trading Software Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/trading-software-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    May 31, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the Trading Software market size was USD XX million in 2024 and will expand at a compound annual growth rate (CAGR) of XX% from 2024 to 2033. Market Dynamics Key Driver

    Surge in retail investor participation is fueling the trading software market 
    

    The rise in retail investor participation in the market is driving the demand for trading software. The driving forces behind the Retail Investor Boom are technology and accessibility, commission free trading software, social media influence, and financial literacy and awareness. The rising demand for trading software is mainly driven by the increasing demand for higher returns. • For instance, the number of demat accounts in India has seen a significant surge, reaching 179 million by October 2024, driven by increased awareness and adoption of equity investments, particularly among young investors. • In the last two years, approximately 30 million new retail investors opened brokerage accounts in United States. The percent of households with stock holdings increased to an all-time high of 58 percent as of 2022, according to the Federal Reserve’s Survey of Consumer Finances, up from 49 percent in 2013. Social media platforms have further fueled the demand for the trading software market. Retail investors are influenced by the Platforms such as Twitter, Reddit, and YouTube have created a community-driven investing culture, where retail traders share strategies, discuss stocks, and even coordinate market moves. (source- https://www.wsj.com/finance/stocks/stocks-americans-own-most-ever-9f6fd963) Technical Innovation is driving the market for trading software Advancements in technology have transformed trading software, enabling automation, real- time analytics and enhanced security. AI-powered insights have democratized finance, allowing anyone with a smartphone to participate in the stock market. Technology has enabled algorithmic trading systems to execute trades at high speeds leveraging automation to place orders, monitor markets, and execute complex strategies within milliseconds. For example, u Trade Algos provides users with capability to access their strategy ‘s historical performance accurately through precise historical data. Prior to engaging in live market trading, traders can conduct backtesting of their strategies to know their hypothetical performance. • For instance, the fusion of AI with crypto trading has given rise to AI crypto trading bots, which currently make up 60% of trading volumes on major exchanges. • AI-powered platforms like DeepSeek in China are being used to predict market movements and enhance decision-making.
    The increase in technological advancement has enabled trading systems to execute trades in milliseconds. This speed has reduced transaction costs and enhanced market liquidity which has led to increase in demand for trading software. (source-https://www.debutinfotech.com/blog/what-are-ai-crypto-trading-bots)

    Restraints

    Cyber security Risks and Data Breaches
    

    The increasing reliance on digital trading platforms has made them prime target for cyberattacks as these platforms handle large volumes of transactions and store sensitive financial data, breaches can lead to financial losses, identify theft, and loss of investor trust. The rising cases of data breaches are one of the prominent restraints in the market. Cybercriminals target trading platforms to steal funds, manipulate markets and disrupt services. • For instance, the collapse of FTX, a major trading platform, was partly due to internal mismanagement and security lapses that led to billions in investors losses. • In October 2022, the Binance exchange experienced hack after an unauthorized third party discovered a vulnerability in the cross-chain bride of system. By exploiting the flaw, the hacker was able to create and withdraw an extra two million Binance coins(BNB). Traders often fall victim to fake trading apps, scam emails, or fraudulent brokerages. Algorithmic trading all over the world has increased with increased penetration, low-cost trading platforms. Algorithmic trading and decentralised finance (DeFi) platforms rely on APIs and smart contracts, which can be ex...

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

    • statista.com
    Updated Nov 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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. F

    Share of Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles)...

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Share of Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) [Dataset]. https://fred.stlouisfed.org/series/WFRBSTP1300
    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 Net Worth Held by the Top 0.1% (99.9th to 100th Wealth Percentiles) (WFRBSTP1300) from Q3 1989 to Q2 2025 about shares, net worth, wealth, percentile, Net, and USA.

  17. Equity market capitalization worldwide 2013-2024

    • statista.com
    Updated Jun 23, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Equity market capitalization worldwide 2013-2024 [Dataset]. https://www.statista.com/statistics/274490/global-value-of-share-holdings-since-2000/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The value of global domestic equity market increased from ***** trillion U.S. dollars in 2013 to ****** trillion U.S. dollars in 2024. The United States was by far the leading country with the largest share of total world stocks as of 2024. Global market capitalization in different regions The market capitalization of domestic companies listed varied across different regions of the world. As of Decmber 2024, the Americas region had the largest domestic equity market, totaling ** trillion U.S. dollars. This region is home to the NYSE and Nasdaq, which are the two largest stock exchange operators in the world. The market capitalization of these two exchanges alone exceeded ** billion U.S. dollars as of January 2025, larger than the total market capitalization in the Asia-Pacific, and in the EMEA regions in the same period. Largest Stock Exchanges in Latin America As of December 2024, the B3 (Brasil Bolsa Balcao) was the biggest stock exchange in Latin America in terms of market capitalization and the second-largest in terms of number of listed companies. Following the B3 were the Mexican Stock Exchange and the Santiago Stock Exchange in Chile. The most valuable company in Latin America is listed on the Mexican Stock Exchange: Fomento Económico Mexicano, a multinational beverage and retail company headquartered in Monterrey, had a market cap of *** billion U.S. dollars as of March 2025.

  18. c

    Bank of America tokenized stock (xStock) Price Prediction Data

    • coinbase.com
    Updated Nov 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Bank of America tokenized stock (xStock) Price Prediction Data [Dataset]. https://www.coinbase.com/price-prediction/bank-of-america-xstock
    Explore at:
    Dataset updated
    Nov 8, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset Bank of America tokenized stock (xStock) over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

  19. BAC^P Bank of America Corporation Depositary Shares each representing a...

    • kappasignal.com
    Updated Feb 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    KappaSignal (2023). BAC^P Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 4.125% Non-Cumulative Preferred Stock Series PP (Forecast) [Dataset]. https://www.kappasignal.com/2023/02/bacp-bank-of-america-corporation.html
    Explore at:
    Dataset updated
    Feb 6, 2023
    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.

    BAC^P Bank of America Corporation Depositary Shares each representing a 1/1000th interest in a share of 4.125% Non-Cumulative Preferred Stock Series PP

    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

  20. c

    American Express Tokenized Stock (Ondo) Price Prediction Data

    • coinbase.com
    Updated Nov 20, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). American Express Tokenized Stock (Ondo) Price Prediction Data [Dataset]. https://www.coinbase.com/en-ar/price-prediction/american-express-ondo-tokenized-stock
    Explore at:
    Dataset updated
    Nov 20, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset American Express Tokenized Stock (Ondo) over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
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.

Search
Clear search
Close search
Google apps
Main menu