Leverage Databento's real-time stock API to get tick data with full order book depth (MBO). Offering seamless intraday market replay in a single API call.
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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 July 5 of 2025.
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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.
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.
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Prices for United States Stock Market Index (US1000) including live quotes, historical charts and news. United States Stock Market Index (US1000) was last updated by Trading Economics this July 5 of 2025.
We offer historical price data for equity indexes, ETFs and individual stocks in a Open/High/Low/Close (OHLC) format and can add almost any other required metric. We cover all major markets and many minor markets. Available for one-time purchase or with regular updates. Real-time/near-time (usually anything quicker than a 15min delay) requires an additional licence from the respective exchange, anything slower does not.
CoinAPI's comprehensive set of crypto market indices gives traders and institutions the reliable price benchmarks they need. Our system tracks VWAP and PRIMKT indices data across more than 350 exchanges, updating every 100ms to ensure you always have the latest market information.
The VWAP (Volume-Weighted Average Price) index shows you what's happening across the entire market by combining prices and trading volumes from multiple exchanges. By weighting each trade by its size, VWAP reveals the true market consensus price, filtering out noise from low-liquidity venues. This makes it perfect for making informed trading decisions or valuing your crypto holdings accurately.
Meanwhile, our PRIMKT (Principal Market Price) index focuses specifically on the exchanges with the highest trading volumes for each cryptocurrency pair. This approach meets important accounting standards like IFRS 13 and FASB ASC 820, making it especially valuable for companies that need to report crypto assets on their financial statements.
Both real-time and historical crypto index data are available, giving you the complete picture of market movements over time. Whether you're trading actively, conducting research, or preparing financial reports, our crypto market indices provide the accurate price discovery tools you need.
Why work with us?
Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Market indexes (VWAP, PRIMKT) - 13 Data Sources - +7k indexes tracked - +2k assets covered - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume
Technical Excellence: - 99,9% uptime guarantee - 100ms update frequency - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance
From Wall Street trading desks to Silicon Valley analytics firms, financial professionals worldwide rely on our indices when accuracy matters most. We've built our reputation on delivering clean, consistent market benchmarks that stand up to scrutiny. When organizations need to know the true price of digital assets - not just what's displayed on a single exchange - they turn to CoinAPI. Join the community of professionals who've made our crypto market indices their gold standard for price discovery.
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Russia's main stock market index, the MOEX, fell to 2802 points on July 4, 2025, losing 0.75% from the previous session. Over the past month, the index has declined 1.91% and is down 11.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on July of 2025.
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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.
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.
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)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.
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 dayThis 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.
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 tradedThis 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.
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 tradedThis 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.
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 tradedThis 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.
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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.
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View Refinitiv's New York Stock Exchange (NYSE) Market Data and benefit from full-depth market-by-price data, available as real-time and historical records.
CoinAPI delivers ultra-low latency cryptocurrency market data built for professional traders who demand absolute precision. Our tick-by-tick updates capture every market movement in real-time, providing the critical insights needed for split-second decisions in volatile markets.
Our WebSocket implementation streams live data directly to your trading systems with minimal delay, giving you the edge when identifying emerging patterns and opportunities. This immediate visibility helps optimize your trading strategies and manage risk more effectively in rapidly changing conditions.
We've engineered our infrastructure specifically for reliability under pressure. When markets surge and data volumes spike, our systems maintain consistent performance and delivery - ensuring your critical operations continue without interruption. For high-frequency trading and institutional investors who can't afford to wait, CoinAPI provides real-time cryptocurrency intelligence that drives successful decision-making
Why work with us?
Market Coverage & Data Types: - Real-time and historical data since 2010 (for chosen assets) - Full order book depth (L2/L3) - Tick-by-tick data - OHLCV across multiple timeframes - Market indexes (VWAP, PRIMKT) - Exchange rates with fiat pairs - Spot, futures, options, and perpetual contracts - Coverage of 90%+ global trading volume - Full Cryptocurrency Investor Data.
Technical Excellence: - 99,9% uptime guarantee - Multiple delivery methods: REST, WebSocket, FIX, S3 - Standardized data format across exchanges - Ultra-low latency data streaming - Detailed documentation - Custom integration assistance
CoinAPI delivers mission-critical insights to financial institutions globally, enabling informed decision-making in volatile cryptocurrency markets. Our enterprise-grade infrastructure processes milions of data points daily, offering unmatched reliability.
The value of the DJIA index amounted to ********* at the end of March 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.
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This report analyses movements in the Chicago Board Options Exchange (CBOE) Volatility Index. Known by its ticker symbol VIX, the CBOE Volatility Index is a real-time market index that indicates the stock market's expectation of volatility and is derived from the price inputs of the S&P 500 Index options - the S&P 500 is a US stock market index based on the market capitalisation of 500 large companies having common stock listed on the New York Stock Exchange (NYSE), the Nasdaq Stock Market (NASDAQ), or the Cboe BZX Exchange. Effectively, the VIX measures the degree of variation in S&P 500 stocks' trading price observed over a period of time. The data is sourced from Yahoo Finance, which ultimately derives from the CBOE, in addition to estimates by IBISWorld. The figures represent the average daily unadjusted close value of the index over the UK financial year (i.e. April through March).
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Sweden's main stock market index, the Stockholm, fell to 2513 points on July 4, 2025, losing 0.67% from the previous session. Over the past month, the index has declined 0.36% and is down 1.72% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Sweden. Sweden Stock Market Index - values, historical data, forecasts and news - updated on July of 2025.
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The Real-Time Index Database market is experiencing robust growth, driven by the increasing demand for immediate data insights across diverse sectors. The market's expansion is fueled by the proliferation of big data, the need for faster decision-making, and the rising adoption of cloud-based solutions. Businesses across various applications, including individual developers and large enterprises, are leveraging real-time indexing to enhance operational efficiency, improve customer experiences, and gain a competitive edge. The cloud-based segment is witnessing particularly rapid growth, propelled by scalability, cost-effectiveness, and ease of deployment. While on-premises solutions maintain relevance for specific security and compliance requirements, the cloud's flexibility is attracting a larger market share. Major players like Elastic, Amazon Web Services (AWS), Apache Solr, Splunk, and Microsoft are actively shaping the market landscape through continuous innovation and competitive pricing strategies. Geographic expansion is also a significant factor, with North America currently holding a dominant position, followed by Europe and Asia Pacific. However, developing economies in Asia Pacific are poised for significant growth in the coming years, driven by increasing digitalization and adoption of advanced technologies. The market faces some restraints, including complexities in data integration and the need for specialized expertise. However, ongoing technological advancements and the development of user-friendly interfaces are mitigating these challenges. We project a continued upward trajectory, with substantial growth expected across all segments and regions throughout the forecast period (2025-2033). The projected Compound Annual Growth Rate (CAGR) suggests a substantial increase in market value over the forecast period. This growth is underpinned by several factors: the rising adoption of real-time analytics across industries like finance, healthcare, and e-commerce; the increasing availability of affordable and scalable cloud infrastructure; and the growing demand for improved search functionalities and faster data processing capabilities. While challenges remain – such as data security concerns and the need for skilled professionals – the overall market outlook remains positive, indicating significant opportunities for existing players and new entrants. Continuous innovation in indexing technologies, combined with the increasing need for real-time insights in a data-driven world, will continue to be the key drivers of this market's expansion.
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The real-time index database market is experiencing robust growth, driven by the increasing demand for real-time insights across diverse sectors. The market's expansion is fueled by the proliferation of data-intensive applications, particularly in finance, e-commerce, and IoT. Businesses are increasingly reliant on immediate data analysis for informed decision-making, optimized operations, and improved customer experiences. The surge in the adoption of cloud-based solutions and the growing sophistication of analytics tools are key factors contributing to the market's upward trajectory. Major players like Elastic, Amazon Web Services, and Splunk are leading the innovation, offering scalable and highly performant solutions to address the growing complexity and volume of real-time data. Competition is intense, with companies continuously striving to enhance their offerings with features such as advanced analytics capabilities, enhanced security, and improved integration with other enterprise systems. While the market presents significant opportunities, challenges remain. The complexities of managing and analyzing real-time data streams, along with the associated infrastructure costs, can present hurdles for adoption. Ensuring data security and compliance with industry regulations also poses considerable challenges for businesses. However, ongoing advancements in database technology, coupled with the decreasing cost of cloud computing resources, are mitigating these concerns and opening up new avenues for growth. The market is expected to witness continuous innovation, with the emergence of new technologies and approaches to further improve the efficiency and scalability of real-time index databases. This will drive the market toward greater adoption across various industries and contribute to its sustained expansion in the coming years. We estimate a market size of $15 billion in 2025, with a CAGR of 15% over the forecast period (2025-2033).
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.
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Discover how the US Metal Index Live provides real-time data on metal market trends, aiding investors, traders, and analysts in sectors reliant on metals like manufacturing and energy. Track price fluctuations driven by supply-demand changes, geopolitical factors, and more, with enhanced access through modern financial platforms.
Leverage Databento's real-time stock API to get tick data with full order book depth (MBO). Offering seamless intraday market replay in a single API call.