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.

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.

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.

S&P 500: A Bull or a Bear?

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

The main stock market index in the United States (US500) decreased 208 points or 3.53% 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.

The main stock market index in the United States (US500) decreased 193 points or 3.28% 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.

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.

Is Volatility King of the S&P 500 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

United States Index: Standard & Poors: S&P 500 Growth data was reported at 1,656.530 1941-1943=10 in Nov 2018. This records an increase from the previous number of 1,634.690 1941-1943=10 for Oct 2018. United States Index: Standard & Poors: S&P 500 Growth data is updated monthly, averaging 671.810 1941-1943=10 from Dec 2001 (Median) to Nov 2018, with 204 observations. The data reached an all-time high of 1,779.520 1941-1943=10 in Sep 2018 and a record low of 390.580 1941-1943=10 in Feb 2009. United States Index: Standard & Poors: S&P 500 Growth data remains active status in CEIC and is reported by Standard & Poor's. The data is categorized under Global Database’s United States – Table US.Z016: Standard & Poors: US Indexes.

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.

Is S&P 500 Index Stock Buy or Sell? (Stock Forecast)

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

The S&P 500 VIX index is expected to remain elevated in the near term due to ongoing geopolitical uncertainties and concerns about the economic impact of the COVID-19 pandemic. However, the index could experience some volatility as investors assess the latest economic data and earnings reports. The index may experience a decline if positive economic signals emerge, or if market participants become more confident in the long-term outlook for the economy. Conversely, the index may experience a rise if geopolitical risks intensify or if economic data continues to disappoint.

The main stock market index in the United States (US500) decreased 158 points or 2.69% 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.

Comparison of prediction error (S&P 500 index).

The main stock market index in the United States (US500) decreased 173 points or 2.94% 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.

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.

Forecast: Motorcycles (With Spark Ignition Engine of 250-500 Cc) Market Size Value Per Capita in the US 2024 - 2028 Discover more data with ReportLinker!

Forecast: Neonatal Mortality (Minimum Threshold of 22 Weeks or 500 Grams Birthweight) in the US 2023 - 2027 Discover more data with ReportLinker!

This dataset contains several daily features of S&P 500, NASDAQ Composite, Dow Jones Industrial Average, RUSSELL 2000, and NYSE Composite from 2010 to 2017. It covers features from various categories of technical indicators, futures contracts, price of commodities, important indices of markets around the world, price of major companies in the U.S. market, and treasury bill rates. Sources and thorough description of features have been mentioned in the paper of "CNNpred: CNN-based stock market prediction using a diverse set of variables".

Forecast: Import of Transformers Electric Having a Power Handling Capacity of 16-500 kVA to the US 2022 - 2026 Discover more data with ReportLinker!

The average market risk premium in the United States decreased slightly to 5.5 percent in 2023. This suggests that investors demand a slightly lower return for investments in that country, in exchange for the risk they are exposed to. This premium has hovered between 5.3 and 5.7 percent since 2011. What causes country-specific risk? Risk to investments come from two main sources. First, inflation causes an asset’s price to decrease in real terms. A 100 U.S. dollar investment with three percent inflation is only worth 97 U.S. dollars after one year. Investors are also interested in risks of project failure or non-performing loans. The unique U.S. context Analysts have historically considered the United States Treasury to be risk-free. This view has been shifting, but many advisors continue to use treasury yield rates as a risk-free rate. Given the fact that U.S. government securities are available at a variety of terms, this gives investment managers a range of tools for predicting future market developments.

United States New York Stock Exchange: Index: S&P 500 Total Return data was reported at 13,098.220 NA in Feb 2025. This records a decrease from the previous number of 13,271.380 NA for Jan 2025. United States New York Stock Exchange: Index: S&P 500 Total Return data is updated monthly, averaging 5,763.420 NA from Aug 2013 (Median) to Feb 2025, with 139 observations. The data reached an all-time high of 13,271.380 NA in Jan 2025 and a record low of 2,908.960 NA in Aug 2013. United States New York Stock Exchange: Index: S&P 500 Total Return 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.

The main stock market index in the United States (US500) decreased 237 points or 4.03% 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.