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.

In 2023, the profit of the New York Stock Exchange securities sector amounted to approximately **** billion U.S. dollars, a slight increase compared to the previous year, but still much lower than the peaks reached in 2020 and 2021. The NYSE is the largest stock exchange in the world.

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.

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.

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.

The Dow Jones U.S. Completion Total Stock Market Index

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

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.

Graph and download economic data for Earnings Yield of All Common Stocks on the New York Stock Exchange for United States (A13049USA156NNBR) from 1871 to 1938 about stocks, earnings, NY, yield, interest rate, interest, rate, and USA.

In just *** week in March 2020, investors with a short position on Tesla stock were able to generate profits of over *** billion U.S. dollars. From around mid-February 2020, the global coronavirus (COVID-19) pandemic sent global stock markets into a tailspin as entire countries closed down their economy in order to slow the spread of the virus. While the effect on financial markets was catastrophic for many most investors, once class of investor was able to profit handsomely off the disaster - short sellers. Short selling is a process whereby investors effectively borrow a certain number of shares for a period of time, with the aim of selling them when the price is high, then repurchasing at a lower price in order to return them.

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

📈 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

Context

This is a comprehensive dataset including numerous financial metrics that many professionals and investing gurus often use to value companies. This data is a look at the companies that comprise the S&P 500 (Standard & Poor's 500). The S&P 500 is a capitalization-weighted index of the top 500 publicly traded companies in the United States (top 500 meaning the companies with the largest market cap). The S&P 500 index is a useful index to study because it generally reflects the health of the overall U.S. stock market. The dataset was last updated in July 2020.

Content

There are 14 rows included in this dataset: ``` - 4 character variables: - Symbol: Ticker symbol used to uniquely identify each company on a particular stock market - Name: Legal name of the company - Sector: An area of the economy where businesses share a related product or service - SEC Filings: Helpful documents relating to a company

- 10 numeric variables:
  - Price: Price per share of the company
  - Price to Earnings (PE): The ratio of a company’s share price to its earnings per share
  - Dividend Yield: The ratio of the annual dividends per share divided by the price per share
  - Earnings Per Share (EPS): A company’s profit divided by the number of shares of its stock
  - 52 week high and low: The annual high and low of a company’s share price
  - Market Cap: The market value of a company’s shares (calculated as share price x number of shares)
  - EBITDA: A company’s earnings before interest, taxes, depreciation, and amortization; often used as a proxy for its profitability
  - Price to Sales (PS): A company’s market cap divided by its total sales or revenue over the past year
  - Price to Book (PB): A company’s price per share divided by its book value

### Acknowledgements

I found this data on the website datahub at https://datahub.io/core/s-and-p-500-companies-financials/r/1.html. All references and citations should be given to them.


### Inspiration

What useful information can you gleam from this dataset? Are these fundamentals enough to predict a high-quality company? How can you determine high from low quality? What would you liked to have seen in this dataset?

Corporate Profits in the United States increased to 3259.41 USD Billion in the second quarter of 2025 from 3252.44 USD Billion in the first quarter of 2025. This dataset provides the latest reported value for - United States Corporate Profits - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Prices for United States Stock Market Index (US500) including live quotes, historical charts and news. United States Stock Market Index (US500) was last updated by Trading Economics this December 1 of 2025.

T-Mobile Us stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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.

The global stock market demonstrates a robust growth trajectory, poised for significant expansion in the coming decade. Projections indicate the market will surge from approximately $9.55 trillion in 2021 to over $23.85 trillion by 2033, expanding at a compound annual growth rate (CAGR) of 7.926%. This growth is underpinned by strong corporate earnings, technological advancements in trading, and increasing participation from retail investors. While North America currently dominates in terms of market size, the Asia-Pacific region is emerging as the fastest-growing hub, driven by the burgeoning economies of India and China. Factors such as monetary policies, geopolitical stability, and regulatory environments will continue to be pivotal in shaping regional market dynamics and overall global performance.

Key strategic insights from our comprehensive analysis reveal:

The Asia-Pacific region is the primary growth engine for the global stock market, exhibiting the highest CAGR of 9.112%, with nations like India and China leading this rapid expansion.
North America, particularly the United States, will maintain its position as the largest market by value, commanding a significant share of the global total, despite a slightly more moderate growth rate compared to APAC.
There is a consistent and broad-based growth trend across all major global regions, indicating widespread investor confidence and economic recovery, though the pace of expansion varies, highlighting diverse investment opportunities and risks.

Global Market Overview & Dynamics of Stock Market Analysis The global stock market is on a path of sustained and significant growth, driven by a confluence of economic, technological, and social factors. The market is forecast to expand from $9.55 trillion in 2021 to nearly $23.86 trillion by 2033. This expansion reflects growing global wealth, increased corporate profitability, and the continuous innovation in financial technologies that makes investing more accessible. However, this growth is not without its challenges, as markets must navigate through geopolitical tensions, inflationary pressures, and evolving regulatory landscapes that can introduce volatility and uncertainty.

Global Stock Market Drivers

Favorable Economic Conditions: Broad-based global GDP growth, coupled with supportive monetary policies from central banks in major economies, stimulates corporate investment and boosts earnings, attracting investors to equity markets.
Technological Innovation and Accessibility: The proliferation of online trading platforms, robo-advisors, and mobile investing apps has democratized access to stock markets, leading to a surge in retail investor participation.
Corporate Profitability and IPO Activity: Strong and resilient corporate earnings growth, along with a healthy pipeline of Initial Public Offerings (IPOs) from innovative companies, continually injects fresh capital and opportunities into the market.

Global Stock Market Trends

Rise of ESG Investing: There is a rapidly growing trend of investors integrating Environmental, Social, and Governance (ESG) criteria into their investment decisions, pushing companies to adopt more sustainable practices.
Increased Focus on Emerging Markets: Investors are increasingly allocating capital to emerging markets, particularly in the Asia-Pacific and South American regions, in pursuit of higher growth potential compared to more mature markets.
Growth of Passive Investing: The shift towards passive investment strategies, such as index funds and Exchange-Traded Funds (ETFs), continues to gain momentum due to their lower costs and broad market exposure.

Global Stock Market Restraints

Geopolitical Instability and Trade Disputes: International conflicts, trade wars, and political uncertainty can disrupt global supply chains, dampen investor sentiment, and lead to significant market volatility.
Inflation and Interest Rate Hikes: Persistent inflationary pressures force central banks to raise interest rates, which increases borrowing costs for companies and can make less risky assets like bonds more attractive relative to stocks.
Regulatory Scrutiny and Complexity: Stricter regulations on financial markets, data privacy, and corporate governance can increase compliance costs and limit certain market activities, potentially hindering growth.

Strategic Recommendations for Manufacturers

Prioritize market entry and expansion s...

Online stock brokerages continue to generate steady growth, as the proliferation of digital technology coincided with broader economic stabilization that incentivized investors to leave traditional brokers and started trading online. Despite significant economic volatility at the onset of the period, brokers endured revenue growth as more investors made trades amid market volatility. Increased discretionary spending fueled a significant decline in the personal savings rate and led to a rise in young investors through online brokerages, causing total trading volume and internet traffic to skyrocket. In recent years, growth has been curtailed by the effects of high inflation, which cut consumers' propensity to invest. Nonetheless, the continued growth in equity markets, such as the S&P 500, fueled strong broker success, with revenue rising at a CAGR of 3.7% to $14.6 billion over the past five years, including an estimated 4.3% jump in the current year. Stabilizing operational costs and trading volumes have also cemented brokers’ profit margin. Industry profit has climbed during the current period and will comprise 12.3% of revenue in the current year. While online brokerage services were growing, players sought to expand their offerings to gain new customers and sway existing traders from other firms. In doing so, firms ramped up merger and acquisition (M&A) activity to offer advanced trading platforms and the ability to trade a diversified list of securities. One of the major acquisitions in the current period was Charles Schwab Corporation's acquisition of TD Ameritrade. Companies also engaged in heavy price competition to acquire new customers. Moving forward, online stock brokers are expected to continue growing, as the expected stabilization of global economic conditions will dampen market volatility. The improving economic environment will allow consumers greater flexibility in online trading while the stock market grows in value and uncertain conditions wane. Brokerages will continue to innovate their platforms via the provision of new trading capabilities like fractional investing, while higher engagement in price competition, aiming to gain and retain customers. At the same time, expected growth in internet traffic volume and the S&P 500 will serve as good accelerants for demand for online brokerage. Over the next five years, revenue is expected to grow at a CAGR of 3.1% to $17.0 billion over the five years to 2030.

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.

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.

Key Stock Trading StatisticsTop Stock Trading AppsFinance App Market LandscapeStock Trading App RevenueStock Trading Revenue by AppStock Trading App UsersStock Trading Users by AppStock Trading App...

High-frequency trading consists of companies that trade large numbers of orders of financial securities in fractions of a second using quantitative trading algorithms. High-frequency trading is a subset of quantitative investing, which employs algorithms that analyze financial data to conduct trades. This industry has lagged during the period despite growing advancements in technology. The industry has encountered falling investor uncertainty, which has limited volatility in financial markets and has curbed significant swings in asset values. At the onset of the period, investor uncertainty soared and rattled financial markets. As a result, trading volumes climbed, leading to greater industry demand and revenue growth as firms capitalized on rapid transactions. However, financial markets have stabilized in the latter part of the period and wild swings limited revenue opportunities for firms. The industry has also increasingly invested in computers and software throughout the period to enhance the speed and efficiency of trade execution. Increased computer and software investments also help the industry improve portfolio optimization, which helps firms maximize gains while reducing market risks. As inflation soared, the Federal Reserve raised interest rates. Higher rates made bonds more attractive to investors, reducing investment in the stock market and the industry’s services. This posed a threat to high-frequency traders, although in 2024 and 2025, the Federal Reserve slashed interest rates, limiting investments in bonds and attracting investment back into equities. Overall, industry revenue has fallen at a CAGR of 0.8% to $6.1 billion over the past five years, including an expected decline of 0.7% in 2025 alone. Also, industry profit has fallen during the same period and will account for 18.5% of revenue in 2025. Over the next five years, steady income growth will raise access to credit, enabling consumers to invest more in the stock market. As competition among financial institutions soars, private investment in computers and software will increase. These investments will make high-frequency trading more efficient, increasing its attractiveness. Investor uncertainty is anticipated to climb, so the volume of trades will be relatively higher and the industry will experience a source of downstream demand. Overall, industry revenue is expected to lag at a CAGR of 1.6% to $5.6 billion over the five years to 2030.