United States U.S. Dollar Index: Futures: High data was reported at 107.617 Mar1973=100 in Feb 2025. This records a decrease from the previous number of 108.817 Mar1973=100 for Jan 2025. United States U.S. Dollar Index: Futures: High data is updated monthly, averaging 93.756 Mar1973=100 from Nov 1985 (Median) to Feb 2025, with 472 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.M027: US Dollar Index.

United States U.S. Dollar Index: Futures: Low data was reported at 106.922 Mar1973=100 in Feb 2025. This records a decrease from the previous number of 108.043 Mar1973=100 for Jan 2025. United States U.S. Dollar Index: Futures: Low data is updated monthly, averaging 93.125 Mar1973=100 from Nov 1985 (Median) to Feb 2025, with 472 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.M026: US Dollar Index.

Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this March 27 of 2025.

United States U.S. Dollar Index: Futures: Close data was reported at 107.222 Mar1973=100 in Feb 2025. This records a decrease from the previous number of 108.472 Mar1973=100 for Jan 2025. United States U.S. Dollar Index: Futures: Close data is updated monthly, averaging 93.493 Mar1973=100 from Nov 1985 (Median) to Feb 2025, with 472 observations. The data reached an all-time high of 125.994 Mar1973=100 in Dec 1985 and a record low of 72.375 Mar1973=100 in Apr 2008. United States U.S. Dollar Index: Futures: Close 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.M027: US Dollar Index.

Daily sample data for U.S. Dollar Index (Settlement) DX timestamped in Chicago time

United States U.S. Dollar Index: Futures: Open Interest data was reported at 39,152.800 Unit in Feb 2025. This records a decrease from the previous number of 44,131.773 Unit for Jan 2025. United States U.S. Dollar Index: Futures: Open Interest data is updated monthly, averaging 22,385.668 Unit from Nov 1985 (Median) to Feb 2025, with 472 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.M027: US Dollar Index.

Tick (Bids | Asks | Trades | Settle) sample data for U.S. Dollar Index (Settlement) DX timestamped in Chicago time

Long term historical dataset of the broad price-adjusted U.S. dollar index published by the Federal Reserve. The index is adjusted for the aggregated home inflation rates of all included currencies. The price adjustment is especially important with our Asian and South American trading partners due to their significant inflation episodes of the 80s and 90s.

The US dollar index of February 2025 was higher than it was in 2024, although below the peak in late 2022. 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. 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 less on 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 decreased 0.1629 or 0.16% to 104.3841 on Thursday March 27 from 104.5470 in the previous trading session. United States Dollar - values, historical data, forecasts and news - updated on March of 2025.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-03-21 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.

Dollar index faces uncertain future amid economic headwinds

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.

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

Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: U.S. Dollar Index: Futures: Open Interest data was reported at 5.147 % in 10 Mar 2025. This stayed constant from the previous number of 5.147 % for 03 Mar 2025. Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: U.S. Dollar Index: Futures: Open Interest data is updated weekly, averaging 0.095 % from Mar 2020 (Median) to 10 Mar 2025, with 262 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.

US Dollar Denominated Indices: RTS Index data was reported at 1,184.100 01Sep1995=100 in 25 Mar 2025. This records a decrease from the previous number of 1,193.880 01Sep1995=100 for 24 Mar 2025. US Dollar Denominated Indices: RTS Index data is updated daily, averaging 1,182.150 01Sep1995=100 from Sep 1995 (Median) to 25 Mar 2025, with 7395 observations. The data reached an all-time high of 2,123.560 01Sep1995=100 in 08 Apr 2011 and a record low of 628.410 01Sep1995=100 in 20 Jan 2016. US Dollar Denominated Indices: RTS Index data remains active status in CEIC and is reported by Moscow Exchange. The data is categorized under High Frequency Database’s Financial and Futures Market – Table RU.ZA002: Moscow Exchange: Indices Denominated in USD: Daily. [COVID-19-IMPACT]

美元指数：期货：高在02-01-2025达107.617Mar1973=100，相较于01-01-2025的108.817Mar1973=100有所下降。美元指数：期货：高数据按月更新，11-01-1985至02-01-2025期间平均值为93.756Mar1973=100，共472份观测结果。该数据的历史最高值出现于12-01-1985，达126.365Mar1973=100，而历史最低值则出现于04-01-2008，为72.793Mar1973=100。CEIC提供的美元指数：期货：高数据处于定期更新的状态，数据来源于Barchart.com, Inc.，数据归类于全球数据库的美国 – Table US.M027: US Dollar Index。

A graphic that displays the dollar performance against other currencies reveals that economic developments had mixed results on currency exchanges. The third quarter of 2023 marked a period of disinflation in the euro area, while China's projected growth was projected to go up. The United States economy was said to have a relatively strong performance in Q3 2023, although growing capital market interest rate and the resumption of student loan repayments might dampen this growth at the end of 2023. A relatively weak Japanese yen Q3 2023 saw pressure from investors towards Japanese authorities on how they would respond to the situation surrounding the Japanese yen. The USD/JPY rate was close to 150, whereas analysts suspected it should be around 90 given the country's purchase power parity. The main reason for this disparity is said to be the differences in central bank interest rates between the United States, the euro area, and Japan. Any future aggressive changes from, especially the U.S. Fed might lower those differences. Financial markets responded somewhat disappoint when Japan did not announce major plans to tackle the situation. Potential rent decreases in 2024 Central bank rates peak in 2023, although it is expected that some of these will decline in early 2024. That said, analysts expect overall policies will remain restrictive. For example, the Bank of England's interest rate remained unchanged at 5.25 percent in Q3 2023. It is believed the United Kingdom's central bank will ease its interest rate in 2024 but less than either the U.S. Fed or the European Central Bank. This should be a positive development for the pound compared to either the euro or the dollar.

美元指数：期货：公开在02-01-2025达107.326Mar1973=100，相较于01-01-2025的108.463Mar1973=100有所下降。美元指数：期货：公开数据按月更新，11-01-1985至02-01-2025期间平均值为93.465Mar1973=100，共472份观测结果。该数据的历史最高值出现于12-01-1985，达126.074Mar1973=100，而历史最低值则出现于04-01-2008，为72.360Mar1973=100。CEIC提供的美元指数：期货：公开数据处于定期更新的状态，数据来源于Barchart.com, Inc.，数据归类于全球数据库的美国 – Table US.M027: US Dollar Index。

CRB Index increased 16.18 points or 4.53% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. CRB Commodity Index - values, historical data, forecasts and news - updated on March of 2025.

The EURUSD decreased 0.0005 or 0.04% to 1.0787 on Wednesday March 26 from 1.0791 in the previous trading session. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on March of 2025.