As of January 1, 2025, tech giants Nvidia, Apple, Microsoft , Amazon, and Alphabet (Google) dominated the S&P 500 index and were the among only nine companies with a market capitalization exceeding one trillion U.S. dollars in the U.S.
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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.
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 4,766.18 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 4,769.83, 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.
As of August 2020, the S&P 500 index had lost 34 percent of its value due to the COVID-19 pandemic. However, the Great Crash, which began with Black Tuesday, remains the most significant loss in value in its history. That market crash lasted for 300 months and wiped 86 percent off the index value.
Between March 4 and March 11, 2020, the S&P 500 index declined by twelve percent, descending into a bear market. On March 12, 2020, the S&P 500 plunged 9.5 percent, its steepest one-day fall since 1987. The index began to recover at the start of April and reached a peak in December 2021. As of December 29, 2024, the value of the S&P 500 stood at 5,942.47 points. Coronavirus sparks stock market chaos Stock markets plunged in the wake of the COVID-19 pandemic, with investors fearing its spread would destroy economic growth. Buoyed by figures that suggested cases were leveling off in China, investors were initially optimistic about the virus being contained. However, confidence in the market started to subside as the number of cases increased worldwide. Investors were deterred from buying stocks, and this was reflected in the markets – the values of the Dow Jones Industrial Average and the Nasdaq Composite also dived during the height of the crisis. What is a bear market? A bear market occurs when the value of a stock market suffers a prolonged decline of more than 20 percent over a period of at least two months. The COVID-19 pandemic caused severe concern and sent stock markets on a steep downward spiral. The S&P 500 achieved a record closing high of 3,386 on February 19, 2020. However, just over three weeks later, the market closed on 2,480, which represented a decline of around 26 percent in only 16 sessions.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Index returns, market cap, constituent detail data from various index providers, all linked to S&P Global companies and securities.
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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 March 20 of 2025.
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New York Stock Exchange: Index: S&P 500 Value data was reported at 1,942.920 NA in Feb 2025. This records an increase from the previous number of 1,938.310 NA for Jan 2025. New York Stock Exchange: Index: S&P 500 Value data is updated monthly, averaging 1,114.120 NA from Aug 2013 (Median) to Feb 2025, with 139 observations. The data reached an all-time high of 2,027.490 NA in Nov 2024 and a record low of 758.260 NA in Aug 2013. New York Stock Exchange: Index: S&P 500 Value data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: S&P: Monthly.
Enterprise value to earnings before interest, taxes, depreciation and amortization (EV/EBITDA) is a key measurement ratio used as a metric of valuing whether a company is under or overvalued as compared to a historical industry average. The S&P 500 (Standard & Poor’s) is an index of the 500 largest U.S. publicly traded companies by market capitalization. In 2023, the consumer staples sector displayed the highest EV/EBITDA multiple with 15.14.
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United States - S&P 500 was 5776.65000 Index in March of 2025, according to the United States Federal Reserve. Historically, United States - S&P 500 reached a record high of 6144.15000 in February of 2025 and a record low of 676.53000 in March of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - S&P 500 - last updated from the United States Federal Reserve on March of 2025.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Graph and download economic data for CBOE S&P 500 3-Month Volatility Index (VXVCLS) from 2007-12-04 to 2025-03-24 about VIX, volatility, 3-month, stock market, and USA.
The S&P 500 index dropped significantly between January 3 and September 9, 2022. As of January 3, the index stood at 4,796.56 points, and it dropped approximately 15 percent by September 2022. In February 2024, the daily value of the S&P 500 increased over 5,500 and reached 5,842.47 as of October 16 of the same year.
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The main stock market index in the United States (US500) decreased 176 points or 2.99% since the beginning of 2025, 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 March of 2025.
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Long term historical dataset of the NASDAQ Composite stock market index since 1971. 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.
As of December 2023, State Street’s SPDR S&P 500 ETF Trust was the highest valued exchange-traded fund (ETF) globally, with a market capitalization of about 417.37 billion U.S. dollars. Market capitalization of an ETF is calculated by multiplying the number of shares issued in the fund by the share price. This ETF is also the largest ETF by assets under management - although, at over 1 trillion U.S. dollars, the Vanguard Total Stock Market Index Fund is overall the largest investment fund by AUM. However, the Vanguard fund is different because shares in the fund are sold as a variety of different products, some of which are structured as ETFs (like the third-largest fund listed in this statistic), while others are structured as traditional mutual funds.
What are ETFs?
ETFs are similar to mutual funds, in that they consist of a pool of investors’ funds which are managed by an independent third party for the purpose of a common financial investment. However, ETFs differ through how shares in the fund are bought and sold through a stock exchange, rather than directly from the fund manager. This provides the advantages of generally lower prices (as the transaction costs are paid by the exchange operator rather than the fund manager), and the possibility of intraday trading (as shares in a traditional mutual fund can only be bought and sold after the close of daily trading. The total assets managed by ETFs globally is almost six times lower than that of mutual funds, although the gap in AUM between ETFs and mutual funds in the United States is much lower, at just over three times less.
Who are the largest ETF providers?
The largest provider of ETFs globally is Blackrock, the world’s largest asset management company. As of 2023, the company had more than 2.3 trillion U.S. dollars of assets under management in exchange traded funds in the U.S. alone, while Blackrock’s total assets under management across all products reached almost ten trillion U.S. dollars. Rounding out the top three providers of ETFs are fellow U.S asset managers Vanguard and State Street.
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Graph and download economic data for Dow Jones Industrial Average (DJIA) from 2015-03-27 to 2025-03-26 about stock market, average, industry, and USA.
The value of global domestic equity market increased from 65.04 trillion U.S. dollars in 2013 to 124.63 trillion U.S. dollars in 2023. 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 62 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 60 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 market cap of 177 billion U.S. dollars as of March 2025.
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Key information about Germany Market Capitalization: % of GDP
As of January 1, 2025, tech giants Nvidia, Apple, Microsoft , Amazon, and Alphabet (Google) dominated the S&P 500 index and were the among only nine companies with a market capitalization exceeding one trillion U.S. dollars in the U.S.