The main stock market index of United States, the US500, rose to 6271 points on July 14, 2025, gaining 0.19% from the previous session. Over the past month, the index has climbed 3.94% and is up 11.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

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

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.

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 July 11 of 2025.

The yield on US 10 Year Note Bond Yield eased to 4.43% on July 15, 2025, marking a 0.01 percentage point decrease from the previous session. Over the past month, the yield has fallen by 0.02 points, though it remains 0.27 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. US 10 Year Treasury Bond Note Yield - values, historical data, forecasts and news - updated on July of 2025.

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

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

Japan's main stock market index, the JP225, fell to 39519 points on July 14, 2025, losing 0.13% from the previous session. Over the past month, the index has climbed 3.15%, though it remains 4.25% lower than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on July of 2025.

As of April 16, 2025, the yield for a ten-year U.S. government bond was 4.34 percent, while the yield for a two-year bond was 3.86 percent. This represents an inverted yield curve, whereby bonds of longer maturities provide a lower yield, reflecting investors' expectations for a decline in long-term interest rates. Hence, making long-term debt holders open to more risk under the uncertainty around the condition of financial markets in the future. That markets are uncertain can be seen by considering both the short-term fluctuations, and the long-term downward trend, of the yields of U.S. government bonds from 2006 to 2021, before the treasury yield curve increased again significantly in the following years. What are government bonds? Government bonds, otherwise called ‘sovereign’ or ‘treasury’ bonds, are financial instruments used by governments to raise money for government spending. Investors give the government a certain amount of money (the ‘face value’), to be repaid at a specified time in the future (the ‘maturity date’). In addition, the government makes regular periodic interest payments (called ‘coupon payments’). Once initially issued, government bonds are tradable on financial markets, meaning their value can fluctuate over time (even though the underlying face value and coupon payments remain the same). Investors are attracted to government bonds as, provided the country in question has a stable economy and political system, they are a very safe investment. Accordingly, in periods of economic turmoil, investors may be willing to accept a negative overall return in order to have a safe haven for their money. For example, once the market value is compared to the total received from remaining interest payments and the face value, investors have been willing to accept a negative return on two-year German government bonds between 2014 and 2021. Conversely, if the underlying economy and political structures are weak, investors demand a higher return to compensate for the higher risk they take on. Consequently, the return on bonds in emerging markets like Brazil are consistently higher than that of the United States (and other developed economies). Inverted yield curves When investors are worried about the financial future, it can lead to what is called an ‘inverted yield curve’. An inverted yield curve is where investors pay more for short term bonds than long term, indicating they do not have confidence in long-term financial conditions. Historically, the yield curve has historically inverted before each of the last five U.S. recessions. The last U.S. yield curve inversion occurred at several brief points in 2019 – a trend which continued until the Federal Reserve cut interest rates several times over that year. However, the ultimate trigger for the next recession was the unpredicted, exogenous shock of the global coronavirus (COVID-19) pandemic, showing how such informal indicators may be grounded just as much in coincidence as causation.

Interactive chart showing the daily 5 year treasury yield back to 1962. The values shown are daily data published by the Federal Reserve Board based on the average yield of a range of Treasury securities, all adjusted to the equivalent of a five-year maturity.

The latest closing stock price for Microsoft as of June 18, 2025 is 480.24. An investor who bought $1,000 worth of Microsoft stock at the IPO in 1986 would have $8,056,718 today, roughly 8,057 times their original investment - a 25.94% compound annual growth rate over 39 years. The all-time high Microsoft stock closing price was 480.24 on June 18, 2025. The Microsoft 52-week high stock price is 481.00, which is 0.2% above the current share price. The Microsoft 52-week low stock price is 344.79, which is 28.2% below the current share price. The average Microsoft stock price for the last 52 weeks is 422.77. For more information on how our historical price data is adjusted see the Stock Price Adjustment Guide.

China's main stock market index, the SHANGHAI, fell to 3505 points on July 15, 2025, losing 0.42% from the previous session. Over the past month, the index has climbed 3.43% and is up 17.76% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.

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

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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

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The Standard & Poor’s (S&P) 500 Index is an index of 500 leading publicly traded companies in the United States. In 2021, the index value closed at ******** points, which was the second highest value on record despite the economic effects of the global coronavirus (COVID-19) pandemic. In 2023, the index values closed at ********, the highest value ever recorded. What is the S&P 500? The S&P 500 was established in 1860 and expanded to its present form of 500 stocks in 1957. It tracks the price of stocks on the major stock exchanges in the United States, distilling their performance down to a single number that investors can use as a snapshot of the economy’s performance at a given moment. This snapshot can be explored further. For example, the index can be examined by industry sector, which gives a more detailed illustration of the economy. Other measures Being a stock market index, the S&P 500 only measures equities performance. In addition to other stock market indices, analysts will look to other indicators such as GDP growth, unemployment rates, and projected inflation. Similarly, since these indicators say something about the economic future, stock market investors will use these indicators to speculate on the stocks in the S&P 500.

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

The average for 2021 based on 87 countries was 32.21 percent. The highest value was in Venezuela: 991.39 percent and the lowest value was in Botswana: -6.38 percent. The indicator is available from 1984 to 2021. Below is a chart for all countries where data are available.

Graph and download economic data for Market Yield on U.S. Treasury Securities at 20-Year Constant Maturity, Quoted on an Investment Basis (DGS20) from 1962-01-02 to 2025-07-10 about 20-year, maturity, Treasury, interest rate, interest, rate, and USA.

Canada's main stock market index, the TSX, rose to 27199 points on July 14, 2025, gaining 0.65% from the previous session. Over the past month, the index has climbed 2.37% and is up 19.55% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Canada. Canada Stock Market Index (TSX) - values, historical data, forecasts and news - updated on July of 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Dollar Index (Live)

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

Snapshot img

ETF Market Size 2025-2029

The ETF market size is forecast to increase by USD 17.94 billion at a CAGR of 20.2% between 2024 and 2029.

The market continues to experience robust growth, with increasing institutional adoption and investor preference for cost-effective, diversified investment solutions. One of the key drivers propelling this market forward is the expansion of bond ETFs, blockchains which now account for over one-third of the total assets under management. This trend is expected to persist, as fixed income securities offer attractive yields in the current low-interest-rate environment. However, the market is not without its challenges. A significant concern is the potential for transaction risks, particularly in illiquid securities. This risk can lead to price discrepancies between the ETF's net asset value and its market price, potentially resulting in losses for investors.
Additionally, market volatility and sudden price movements can exacerbate these risks, making it crucial for market participants to closely monitor market conditions and adjust their strategies accordingly. Companies seeking to capitalize on the growth opportunities in the market while mitigating transaction risks may consider focusing on liquid securities and implementing robust risk management strategies.

What will be the Size of the ETF Market during the forecast period?

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The exchange-traded fund (ETF) market continues to evolve, integrating advanced technologies and applications across various sectors. Machine learning algorithms enhance the investment process, enabling more precise index construction in fixed income ETFs. Currency ETFs leverage technology to offer real-time exposure to foreign exchange markets. Small businesses benefit from scalability and affordability, with increasing numbers turning to ETFs for diversified investment opportunities. Service providers and financial institutions collaborate to ensure financial market stability, offering innovative solutions for passive investing strategies, including index funds and index mutual funds.
The integration of artificial intelligence and blockchain technology further enhances ETF offerings, reducing transaction costs and improving security. The ongoing unfolding of market activities reveals evolving patterns in trade finance, international trade, and asset management. ETFs continue to adapt, providing investors with efficient and cost-effective investment vehicles.

How is this ETF Industry segmented?

The etf industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Fixed income ETF
  Equity ETF
  Commodity ETF
  Real estate ETF
  Others


Product Type

  Large cap ETFs
  Mega cap ETFs
  Mid cap ETFs
  Small cap ETFs


End-User

  Retail Investors
  Institutional Investors


Investment Type

  Active
  Passive


Distribution Channel

  Brokerage Platforms
  Direct Sales


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Switzerland
    The Netherlands
    UK


  Middle East and Africa

    UAE


  APAC

    China
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The fixed income etf segment is estimated to witness significant growth during the forecast period.

In the dynamic securities markets of 2024, the fixed income Exchange-traded fund (ETF) emerged as a leading investment choice. This type of ETF, which invests in various fixed-income securities like corporate, municipal, and treasury bonds, is traded on a centralized stock exchange. In contrast, most corporate bonds are sold through bond brokers, limiting bond buyers' exposure to the stock exchange. Fixed income ETFs, however, provide extensive exposure, enabling investors to participate in the stock exchange's activity. These ETFs employ various technologies, such as Optical Character Recognition and Machine Learning, to ensure efficient trade processing and risk management.

Additionally, the integration of Blockchain technology enhances security and transparency. Fixed income ETFs cater to diverse investor needs, including small businesses seeking scalability and financial institutions aiming for financial market stability. The market offers various categories, such as Government Bond ETFs, which invest in government securities, and Currency ETFs, which provide exposure to foreign currencies. Furthermore, Real Estate ETFs, Commodity ETFs, and Alternative Trading Funds expand the investment universe. Service providers play a crucial role in facilitating these investment solutions, ensuring affordability through passive investing strategies and competitive transaction costs. Trade agreements and internati