NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Products and Services Index data was reported at 3,385.530 NA in Feb 2025. This records a decrease from the previous number of 3,425.310 NA for Jan 2025. NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Products and Services Index data is updated monthly, averaging 2,108.020 NA from Jan 2012 (Median) to Feb 2025, with 158 observations. The data reached an all-time high of 3,621.670 NA in Jul 2021 and a record low of 1,026.510 NA in Jan 2012. NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Products and Services Index 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: NASDAQ: Total Return: Monthly.

The annual returns of the Nasdaq 100 Index from 1986 to 2024. fluctuated significantly throughout the period considered. The Nasdaq 100 index saw its lowest performance in 2008, with a return rate of -41.89 percent, while the largest returns were registered in 1999, at 101.95 percent. As of June 11, 2024, the rate of return of Nasdaq 100 Index stood at 14 percent. The Nasdaq 100 is a stock market index comprised of the 100 largest and most actively traded non-financial companies listed on the Nasdaq stock exchange. How has the Nasdaq 100 evolved over years? The Nasdaq 100, which was previously heavily influenced by tech companies during the dot-com boom, has undergone significant diversification. Today, it represents a broader range of high-growth, non-financial companies across sectors like consumer services and healthcare, reflecting the evolving landscape of the global economy. The annual development of the Nasdaq 100 recently has generally been positive, except for 2022, when the NASDAQ experienced a decline due to worries about escalating inflation, interest rates, and regulatory challenges. What are the leading companies on Nasdaq 100? In August 2023, Apple was the largest company on the Nasdaq 100, with a market capitalization of 2.73 trillion euros. Also, Alphabet C, Alphabet, Amazon, and Broadcom were among the five leading companies included in the index. Market capitalization is one of the most common ways of measuring how big a company is in the financial markets. It is calculated by multiplying the total number of outstanding shares by the current market price.

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.

NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Staples Index data was reported at 1,460.950 NA in Feb 2025. This records an increase from the previous number of 1,373.050 NA for Jan 2025. NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Staples Index data is updated monthly, averaging 1,272.635 NA from Sep 2020 (Median) to Feb 2025, with 54 observations. The data reached an all-time high of 1,460.950 NA in Feb 2025 and a record low of 974.100 NA in Oct 2020. NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Staples Index 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: NASDAQ: Total Return: Monthly.

United States NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Electronics Index data was reported at 2,672.970 NA in Jan 2025. This records an increase from the previous number of 2,580.030 NA for Dec 2024. United States NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Electronics Index data is updated monthly, averaging 1,419.410 NA from Jan 2012 (Median) to Jan 2025, with 157 observations. The data reached an all-time high of 2,672.970 NA in Jan 2025 and a record low of 723.070 NA in Jul 2012. United States NASDAQ: Index: Total Return: NASDAQ US Benchmark Consumer Electronics Index 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: NASDAQ: Total Return: Monthly.

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.

As of Janaury 2025, the New York Stock Exchange (NYSE) and the Nasdaq - the two largest stock exchange operators in the United States - held a combined market capitalization for domestic listed companies of over 62 trillion U.S. dollars. Both markets were almost evenly sized at this point in time - at approximately 32 and 30 trillion U.S. dollars, respectively. However, the Nasdaq has grown much quicker than the NYSE since January 2018, when their respective domestic market caps were 23 and 11 trillion U.S. dollars. Much of this can be attributed to the success of information technology stocks during the global coronavirus (COVID-19) pandemic, as the Nasdaq is the traditional venue for companies operating in the tech sector.

United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Consumer Discretionary Index data was reported at 1,568.300 NA in Feb 2025. This records a decrease from the previous number of 1,679.750 NA for Jan 2025. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Consumer Discretionary Index data is updated monthly, averaging 1,228.624 NA from Sep 2020 (Median) to Feb 2025, with 54 observations. The data reached an all-time high of 1,679.750 NA in Jan 2025 and a record low of 906.080 NA in Dec 2022. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Consumer Discretionary Index 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: NASDAQ: Net Total Return: Monthly.

United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Consumer Digital Services Index data was reported at 16,660.730 NA in Jan 2025. This records an increase from the previous number of 14,964.220 NA for Dec 2024. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Consumer Digital Services Index data is updated monthly, averaging 4,891.680 NA from Dec 2012 (Median) to Jan 2025, with 146 observations. The data reached an all-time high of 16,660.730 NA in Jan 2025 and a record low of 1,341.510 NA in Dec 2012. United States NASDAQ: Index: Net Total Return: NASDAQ US Benchmark Consumer Digital Services Index 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: NASDAQ: Net Total Return: Monthly.

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.

Can stock prices be predicted? (NASDAQ Composite Index 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

United States NASDAQ: Index: NASDAQ US Benchmark Consumer Services Index data was reported at 1,609.640 NA in Jan 2025. This records an increase from the previous number of 1,494.840 NA for Dec 2024. United States NASDAQ: Index: NASDAQ US Benchmark Consumer Services Index data is updated monthly, averaging 1,236.130 NA from Sep 2020 (Median) to Jan 2025, with 53 observations. The data reached an all-time high of 1,684.660 NA in Nov 2024 and a record low of 803.860 NA in Jun 2022. United States NASDAQ: Index: NASDAQ US Benchmark Consumer Services Index 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: NASDAQ: Monthly.

Almost one-third of the total assets managed by Vanguard's total stock market index fund traded under the ticket symbol VTI was allocated to technology stocks. Consumer discretionary stocks accounted for the second largest portion of assets. The asset allocation of the total stock market index fund was comparable to that of the asset allocation of the S&P 500 index. The S&P 500 is often quoted as a barometer of U.S. market performance. However, as the S&P 500 tracks 500 of the largest U.S. companies, it is not inclusive of the performance of small and mid-cap companies. Investors can buy into the total stock market index fund (VTI), for wider market exposure.

March 24, 2020 saw the largest one-day gain in the history of the Dow Jones Industrial Average (DJIA), with the index increasing 2,112.98 points. This occurred approximately two weeks after the largest one-day point loss occurred on March 9, 2020, which was triggered by the growing panic about the coronavirus outbreak worldwide.

Index fluctuations

The DJIA is an index of 30 large companies traded on the New York Stock Exchange. It is one of the numbers that financial analysts watch closely, using it as a bellwether for the United States economy. Seeing when these large gains occur, as well as the largest one-day point losses, gives insight to why these fluctuations may occur. The gains in 2009 are likely adjustments after major losses during the Financial Crisis, but those in 2018 are probably signs of high market volatility.

Other leading financial indicators

While the DJIA is closely watched, it only gives insight on the performance of thirty leading U.S. companies. An index like the S&P 500, tracking 500 companies, can give a more comprehensive overview of the United States economy. Even so, this only reflects investment. Other parts of the economy, such as consumer spending or unemployment rate are not well reflected in stock market indices.

The main stock market index in Hong Kong (HK50) increased 3587 points or 17.88% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on March of 2025.

In 2024, stock markets in the United States accounted for roughly 60 percent of world stocks. The next largest country by stock market share was Japan, followed by the United Kingdom. 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.

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 March 26 of 2025.

Index returns, market cap, constituent detail data from various index providers, all linked to S&P Global companies and securities.

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.

Dow Jones New Zealand Index Target Price Prediction

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

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 the Consumer Goods Index a Reliable Barometer of American Spending?

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 Kingdom (GB100) increased 479 points or 5.86% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on March of 2025.