Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this October 8 of 2025.

The US dollar index of October 2025 was lower than it was in February 2025, although still above the levels seen in early 2023. This reveals itself in a historical graphic on the past 50 years, measuring the relative strength of the U.S. dollar. This metric is different from other FX graphics that compare the U.S. dollar against other currencies. By October 1, 2025, the DXY index was around 97.66 points. The history of the DXY Index The index shown here – often referred to with the code DXY or USDX -measures the value of the U.S. dollar compared to a basket of six other foreign currencies. This basket includes the euro, the Swiss franc, the Japanese yen, the Canadian dollar, the British pound, and the Swedish króna. The index was created in 1973, after the arrival of the petrodollar and the dissolution of the Bretton Woods Agreement. Today, most of these currencies remain connected to the United States' largest trade partners. The relevance of the DXY Index The index focuses on trade and the strength of the U.S. dollar against specific currencies. It's less about inflation or devaluation, which is measured in alternative metrics like the Big Mac Index. Indeed, as the methodology behind the DXY Index has only been updated once – when the euro arrived in 1999 – some argue this composition is not accurate to the current state of the world. The price development of the U.S. dollar affects many things, including commodity prices in general.

The DXY exchange rate rose to 98.9060 on October 8, 2025, up 0.33% from the previous session. Over the past month, the United States Dollar has strengthened 1.14%, but it's down by 3.86% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on October of 2025.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-10-03 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

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.

US Dollar Index: Bullish Break or Bearish Trap?

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

View market daily updates and historical trends for Trade Weighted US Dollar Index: Broad, Goods and Services. from United States. Source: Federal Reserve…

This dataset contains the predicted prices of the asset US Dollar Index over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

Graph and download economic data for Trade Weighted U.S. Dollar Index: Major Currencies, Goods (DISCONTINUED) (TWEXM) from 1973-01-03 to 2020-01-01 about major, trade-weighted, exchange rate, currency, goods, rate, indexes, and USA.

Graph and download economic data for Nominal Emerging Market Economies U.S. Dollar Index (DTWEXEMEGS) from 2006-01-02 to 2025-09-12 about trade-weighted, emerging markets, exchange rate, currency, goods, services, rate, indexes, and USA.

Graph and download economic data for Real Broad Dollar Index (RTWEXBGS) from Jan 2006 to Sep 2025 about trade-weighted, broad, services, goods, real, indexes, and USA.

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

Graph and download economic data for Trade Weighted U.S. Dollar Index: Broad, Goods (DISCONTINUED) (TWEXB) from 1995-01-04 to 2020-01-01 about trade-weighted, broad, exchange rate, currency, goods, rate, indexes, and USA.

Index Time Series for Invesco DB US Dollar Index Bullish Fund. The frequency of the observation is daily. Moving average series are also typically included. The fund invests in futures contracts in an attempt to track its index. The index is calculated to reflect the changes in market value over time, whether positive or negative, of long positions in DX Contracts.

United States Inflation Nowcast: Contribution: Foreign Exchange Rates: Trade Weighted Dollar Index: Nominal: Broad Dollar Index data was reported at 0.108 % in 12 May 2025. This stayed constant from the previous number of 0.108 % for 05 May 2025. United States Inflation Nowcast: Contribution: Foreign Exchange Rates: Trade Weighted Dollar Index: Nominal: Broad Dollar Index data is updated weekly, averaging 0.016 % from Jun 2020 (Median) to 12 May 2025, with 259 observations. The data reached an all-time high of 6.547 % in 18 Apr 2022 and a record low of 0.000 % in 17 Feb 2025. United States Inflation Nowcast: Contribution: Foreign Exchange Rates: Trade Weighted Dollar Index: Nominal: Broad Dollar Index data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Inflation: Headline.

When converted to the value of one US dollar in 2020, goods and services that cost one dollar in 1700 would cost just over 63 dollars in 2020, this means that one dollar in 1700 was worth approximately 63 times more than it is today. This data can be used to calculate how much goods and services from the years shown would cost today, by multiplying the price from then by the number shown in the graph. For example, an item that cost 50 dollars in 1970 would theoretically cost 335.5 US dollars in 2020 (50 x 6.71 = 335.5), although it is important to remember that the prices of individual goods and services inflate at different rates than currency, therefore this graph must only be used as a guide.

Graph and download economic data for Nominal Major Currencies U.S. Dollar Index (Goods Only) (DISCONTINUED) (DTWEXM) from 1973-01-02 to 2019-12-31 about major, trade-weighted, exchange rate, currency, goods, rate, indexes, and USA.

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

The EUR/USD exchange rate fell to 1.1620 on October 8, 2025, down 0.32% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has weakened 0.70%, but it's up by 6.20% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on October of 2025.

Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: U.S. Dollar Index: Futures: Open Interest data was reported at 4.086 % in 12 May 2025. This records a decrease from the previous number of 4.628 % for 05 May 2025. Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: U.S. Dollar Index: Futures: Open Interest data is updated weekly, averaging 0.101 % from Mar 2020 (Median) to 12 May 2025, with 271 observations. The data reached an all-time high of 22.114 % in 15 May 2023 and a record low of 0.000 % in 18 Dec 2023. Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: U.S. Dollar Index: Futures: Open Interest data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Japan – Table JP.CEIC.NC: CEIC Nowcast: Exports.

Graph and download economic data for Nominal Advanced Foreign Economies U.S. Dollar Index (DTWEXAFEGS) from 2006-01-02 to 2025-09-26 about trade-weighted, foreign, exchange rate, currency, services, goods, rate, indexes, and USA.