United States U.S. Dollar Index: Futures: Volume data was reported at 36,443.810 Unit in Apr 2025. This records an increase from the previous number of 26,125.524 Unit for Mar 2025. United States U.S. Dollar Index: Futures: Volume data is updated monthly, averaging 3,678.275 Unit from Nov 1985 (Median) to Apr 2025, with 474 observations. The data reached an all-time high of 77,809.773 Unit in Mar 2015 and a record low of 210.783 Unit in Oct 1986. United States U.S. Dollar Index: Futures: Volume data remains active status in CEIC and is reported by Barchart.com, Inc.. The data is categorized under Global Database’s United States – Table US.M036: US Dollar Index.

United States U.S. Dollar Index: Spot: Daily data was reported at 97.104 Mar1973=100 in 18 Dec 2018. This records an increase from the previous number of 97.100 Mar1973=100 for 17 Dec 2018. United States U.S. Dollar Index: Spot: Daily data is updated daily, averaging 94.760 Mar1973=100 from Jan 1971 (Median) to 18 Dec 2018, with 12183 observations. The data reached an all-time high of 164.720 Mar1973=100 in 25 Feb 1985 and a record low of 71.329 Mar1973=100 in 22 Apr 2008. United States U.S. Dollar Index: Spot: Daily data remains active status in CEIC and is reported by Commodity Research Bureau. The data is categorized under Global Database’s United States – Table US.M017: US Dollar Index.

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

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.

Dollars and Sense: The Correlation Between US Total Reserves and the Dollar 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 - Trade Weighted U.S. Dollar Index: Major Currencies, Goods (DISCONTINUED) was 91.50770 Index Mar 1973=100 in January of 2020, according to the United States Federal Reserve. Historically, United States - Trade Weighted U.S. Dollar Index: Major Currencies, Goods (DISCONTINUED) reached a record high of 146.41010 in February of 1985 and a record low of 68.14280 in May of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Trade Weighted U.S. Dollar Index: Major Currencies, Goods (DISCONTINUED) - last updated from the United States Federal Reserve on September of 2025.

United States USD Trade Weighted Index: Nominal: Broad Dollar Index data was reported at 114.484 2006=100 in Jan 2019. This records a decrease from the previous number of 116.246 2006=100 for Dec 2018. United States USD Trade Weighted Index: Nominal: Broad Dollar Index data is updated monthly, averaging 95.723 2006=100 from Jan 2006 (Median) to Jan 2019, with 157 observations. The data reached an all-time high of 117.932 2006=100 in Dec 2016 and a record low of 86.338 2006=100 in Jul 2011. United States USD Trade Weighted Index: Nominal: Broad Dollar Index data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

United States U.S. Dollar Index: Spot data was reported at 96.760 Mar1973=100 in Nov 2018. This records an increase from the previous number of 95.851 Mar1973=100 for Oct 2018. United States U.S. Dollar Index: Spot data is updated monthly, averaging 94.809 Mar1973=100 from Jan 1971 (Median) to Nov 2018, with 575 observations. The data reached an all-time high of 158.491 Mar1973=100 in Feb 1985 and a record low of 72.117 Mar1973=100 in Apr 2008. United States U.S. Dollar Index: Spot data remains active status in CEIC and is reported by Commodity Research Bureau. The data is categorized under Global Database’s United States – Table US.M017: US Dollar Index.

United States - Nominal Major Currencies U.S. Dollar Index (Goods Only) (DISCONTINUED) was 92.02680 Index Mar 1973=100 in January of 2019, according to the United States Federal Reserve. Historically, United States - Nominal Major Currencies U.S. Dollar Index (Goods Only) (DISCONTINUED) reached a record high of 133.55410 in January of 1985 and a record low of 70.86830 in January of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Nominal Major Currencies U.S. Dollar Index (Goods Only) (DISCONTINUED) - last updated from the United States Federal Reserve on September of 2025.

United States U.S. Dollar Index: Spot: High data was reported at 101.206 Mar1973=100 in Apr 2025. This records a decrease from the previous number of 104.537 Mar1973=100 for Mar 2025. United States U.S. Dollar Index: Spot: High data is updated monthly, averaging 95.984 Mar1973=100 from Jan 1971 (Median) to Apr 2025, with 652 observations. The data reached an all-time high of 158.491 Mar1973=100 in Feb 1985 and a record low of 72.435 Mar1973=100 in Apr 2008. United States U.S. Dollar Index: Spot: High data remains active status in CEIC and is reported by Barchart.com, Inc.. The data is categorized under Global Database’s United States – Table US.M036: US Dollar Index.

United States U.S. Dollar Index: Futures: Open Interest data was reported at 28,716.190 Unit in Apr 2025. This records a decrease from the previous number of 34,969.952 Unit for Mar 2025. United States U.S. Dollar Index: Futures: Open Interest data is updated monthly, averaging 22,840.175 Unit from Nov 1985 (Median) to Apr 2025, with 474 observations. The data reached an all-time high of 129,685.045 Unit in Mar 2015 and a record low of 1,125.000 Unit in Nov 1985. United States U.S. Dollar Index: Futures: Open Interest data remains active status in CEIC and is reported by Barchart.com, Inc.. The data is categorized under Global Database’s United States – Table US.M036: US Dollar Index.

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.

[Video] US Dollar Index: Charting a New Course?

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 U.S. Dollar Index: Futures: High data was reported at 101.014 Mar1973=100 in Apr 2025. This records a decrease from the previous number of 104.350 Mar1973=100 for Mar 2025. United States U.S. Dollar Index: Futures: High data is updated monthly, averaging 93.879 Mar1973=100 from Nov 1985 (Median) to Apr 2025, with 474 observations. The data reached an all-time high of 126.365 Mar1973=100 in Dec 1985 and a record low of 72.793 Mar1973=100 in Apr 2008. United States U.S. Dollar Index: Futures: High data remains active status in CEIC and is reported by Barchart.com, Inc.. The data is categorized under Global Database’s United States – Table US.M036: US Dollar Index.

United States U.S. Dollar Index: Spot: Low data was reported at 100.131 Mar1973=100 in Apr 2025. This records a decrease from the previous number of 103.867 Mar1973=100 for Mar 2025. United States U.S. Dollar Index: Spot: Low data is updated monthly, averaging 95.382 Mar1973=100 from Jan 1971 (Median) to Apr 2025, with 652 observations. The data reached an all-time high of 158.491 Mar1973=100 in Feb 1985 and a record low of 71.784 Mar1973=100 in Apr 2008. United States U.S. Dollar Index: Spot: Low data remains active status in CEIC and is reported by Barchart.com, Inc.. The data is categorized under Global Database’s United States – Table US.M036: US Dollar Index.

United States U.S. Dollar Index: Futures: Low data was reported at 99.955 Mar1973=100 in Apr 2025. This records a decrease from the previous number of 103.664 Mar1973=100 for Mar 2025. United States U.S. Dollar Index: Futures: Low data is updated monthly, averaging 93.156 Mar1973=100 from Nov 1985 (Median) to Apr 2025, with 474 observations. The data reached an all-time high of 125.701 Mar1973=100 in Dec 1985 and a record low of 72.031 Mar1973=100 in Apr 2008. United States U.S. Dollar Index: Futures: Low data remains active status in CEIC and is reported by Barchart.com, Inc.. The data is categorized under Global Database’s United States – Table US.M036: US Dollar Index.

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's Outlook: Experts Predict a Volatile Ride for U.S. Dollar 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 - Nominal Broad U.S. Dollar Index was 120.52660 Index Jan 2006=100 in July of 2025, according to the United States Federal Reserve. Historically, United States - Nominal Broad U.S. Dollar Index reached a record high of 129.04130 in January of 2025 and a record low of 86.31780 in July of 2011. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Nominal Broad U.S. Dollar Index - last updated from the United States Federal Reserve on September of 2025.

United States - Nominal Emerging Market Economies U.S. Dollar Index was 132.61660 Index Jan 2006=100 in June of 2025, according to the United States Federal Reserve. Historically, United States - Nominal Emerging Market Economies U.S. Dollar Index reached a record high of 138.55740 in January of 2025 and a record low of 89.82440 in July of 2008. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Nominal Emerging Market Economies U.S. Dollar Index - last updated from the United States Federal Reserve on August 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's Fate Uncertain as Analysts Weigh Future of U.S. Dollar 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 USD Trade Weighted Index: Real: Broad Dollar Index data was reported at 105.997 Jan2006=100 in Jan 2019. This records a decrease from the previous number of 107.686 Jan2006=100 for Dec 2018. United States USD Trade Weighted Index: Real: Broad Dollar Index data is updated monthly, averaging 94.083 Jan2006=100 from Jan 2006 (Median) to Jan 2019, with 157 observations. The data reached an all-time high of 110.076 Jan2006=100 in Dec 2016 and a record low of 83.890 Jan2006=100 in Jul 2011. United States USD Trade Weighted Index: Real: Broad Dollar Index data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.M016: US Dollar Trade Weighted Index.

United States U.S. Dollar Index: Futures: Open data was reported at 100.690 Mar1973=100 in Apr 2025. This records a decrease from the previous number of 104.086 Mar1973=100 for Mar 2025. United States U.S. Dollar Index: Futures: Open data is updated monthly, averaging 93.525 Mar1973=100 from Nov 1985 (Median) to Apr 2025, with 474 observations. The data reached an all-time high of 126.074 Mar1973=100 in Dec 1985 and a record low of 72.360 Mar1973=100 in Apr 2008. United States U.S. Dollar Index: Futures: Open data remains active status in CEIC and is reported by Barchart.com, Inc.. The data is categorized under Global Database’s United States – Table US.M036: US Dollar Index.