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.

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.

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.

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.

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

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.

The statistic shows the development of the MSCI World USD Index from 1986 to 2024. The 2024 year-end value of the MSCI World USD index amounted to 3,707.84 points. MSCI World USD index – additional information The MSCI World Index, developed by Morgan Stanley Capital International (MSCI), is one of the most important stock indices. It includes stocks from developed countries all over the world and is regarded as benchmark of global stock market. According to MSCI, this index covers about 88 percent of the free float-adjusted market capitalization in each country. As seen on the statistics above, in 2024, MSCI World USD index reported its highest value since 1986 amounting, a threefold increase from the figure recorded in 2013, when the year-end value of the MSCI World index was equal to 1,161.07. Along with the S&P Global Broad Market, the MSCI World is one of the most important global stock market performance indexes. Aside of including markets around the globe, these two indexes are global in a sense that they disregard where the companies are domiciled or traded, whereas other important indexes such as the Dow Jones Industrial Average, the Japanese index Nikkei 225, Wilshire 5000, the NASDAQ 100 index, have different approaches.

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

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.

Argentina Trading Value: BCBA: USD: Index Futures data was reported at 0.000 ARS mn in Feb 2021. This stayed constant from the previous number of 0.000 ARS mn for Jan 2021. Argentina Trading Value: BCBA: USD: Index Futures data is updated monthly, averaging 0.000 ARS mn from Jan 2000 (Median) to Feb 2021, with 254 observations. The data reached an all-time high of 35.488 ARS mn in May 2003 and a record low of 0.000 ARS mn in Feb 2021. Argentina Trading Value: BCBA: USD: Index Futures data remains active status in CEIC and is reported by Buenos Aires Stock Exchange. The data is categorized under Global Database’s Argentina – Table AR.Z003: Buenos Aires Stock Exchange: Trading Value (Discontinued).

The euro and U.S. dollar made up more than seven of 10 SWIFT payments worldwide in 2024, outperforming many other currencies. This is according to a monthly report meant to track the market share of China's yuan renminbi within the international bank transfer system SWIFT. Although China holds the largest forex reserves in the world, the yuan ranked as the eighth-used currency in international payments. The figures concern customer-initiated and institutional payments and exclude trade. Discussions on the potential weakening role of the U.S. dollar especially touch world trade and forex. For example, the share of the USD in forex reserves declined visibly against the euro and Japanese yen in 2023. What sparked this de-dollarization trend, and will it continue? Trade sanctions and de-dollarization De-dollarization in 2023 is mentioned mostly alongside trade and the BRICS countries - an informal name given to Brazil, Russia, India, China, and South Africa. The combined GDP of BRICS is about 25 percent of the world's economy. After the start of the Ukraine war and Russia received economic sanctions, the BRICS slowly evolved into a trading bloc. The group increasingly wanted its own currency to settle payments within the trade bloc, to avoid using the U.S. dollar. In August 2023, BRICS will gather in South Africa to discuss the creation of such a new joint currency. Additionally, 19 countries - including Argentina, Algeria, Egypt, Saudi Arabia, Turkey, and Yemen - expressed interest in joining the BRICS group. CBDC, or projects into a digital payment settlement A factor of future uncertainty for the U.S. dollar is how central bank digital currencies (CBDC) develop in emerging countries. Several projects exist between individual countries that specifically target cross-border interbank payments. A cooperation between Thailand and Hong Kong, Inthanon-Lionrock, ranks as the most advanced of these projects. CBDC does not require the U.S. dollar to function. Tangible such as commodities or gold can back them. The value of transactions processed with CBDC is to grow by 260,000 percent between 2023 and 2030.

Argentina Index: BCBA: Merval: US Dollars data was reported at 2,071.660 30Jun1986=0.01 in Feb 2025. This records a decrease from the previous number of 2,434.418 30Jun1986=0.01 for Jan 2025. Argentina Index: BCBA: Merval: US Dollars data is updated monthly, averaging 604.152 30Jun1986=0.01 from Dec 1990 (Median) to Feb 2025, with 411 observations. The data reached an all-time high of 2,453.251 30Jun1986=0.01 in Dec 2024 and a record low of 88.208 30Jun1986=0.01 in May 2002. Argentina Index: BCBA: Merval: US Dollars data remains active status in CEIC and is reported by Buenos Aires Stock Exchange. The data is categorized under Global Database’s Argentina – Table AR.Z001: Buenos Aires Stock Exchange: Index.

Prices for CNYUSD Chinese Yuan US Dollar including live quotes, historical charts and news. CNYUSD Chinese Yuan US Dollar was last updated by Trading Economics this March 27 of 2025.

Panama Stock Exchange: Turnover Value: Stock Market data was reported at 27,853,162.000 USD in Jan 2025. This records an increase from the previous number of 25,294,436.000 USD for Dec 2024. Panama Stock Exchange: Turnover Value: Stock Market data is updated monthly, averaging 7,920,335.200 USD from Jan 1999 (Median) to Jan 2025, with 313 observations. The data reached an all-time high of 226,067,029.240 USD in Oct 2017 and a record low of 265,044.500 USD in Feb 1999. Panama Stock Exchange: Turnover Value: Stock Market data remains active status in CEIC and is reported by Latin American Stock Exchange. The data is categorized under Global Database’s Panama – Table PA. Z001: Panama Stock Exchange: Turnover and Index.

The New York Stock Exchange (NYSE) is the largest stock exchange in the world, with an equity market capitalization of just below 32 trillion U.S. dollars as of January 2025. The following three exchanges were the NASDAQ, Shanghai Stock Exchange, and the Japan Exchange Group. What is a stock exchange? A stock exchange is a marketplace where stockbrokers, traders, buyers, and sellers can trade in equities products. The largest exchanges have thousands of listed companies. These companies sell shares of their business, giving the general public the opportunity to invest in them. The oldest stock exchange worldwide is the Frankfurt Stock Exchange, founded in the late sixteenth century. Other functions of a stock exchange Since these are publicly traded companies, every firm listed on a stock exchange has had an initial public offering (IPO). The largest IPOs can raise billions of dollars in equity for the firm involved. Related to stock exchanges are derivatives exchanges, where stock options, futures contracts, and other derivatives can be traded.

Romania Index: Annual: BVB: BET-FI: USD data was reported at 25,233.450 31Oct2000=1000 in 2017. This records an increase from the previous number of 17,165.800 31Oct2000=1000 for 2016. Romania Index: Annual: BVB: BET-FI: USD data is updated yearly, averaging 17,657.385 31Oct2000=1000 from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 80,502.450 31Oct2000=1000 in 2007 and a record low of 1,191.670 31Oct2000=1000 in 2000. Romania Index: Annual: BVB: BET-FI: USD data remains active status in CEIC and is reported by Bucharest Stock Exchange. The data is categorized under Global Database’s Romania – Table RO.Z001: Bucharest Stock Exchange: Index.

Prices for USDIDR US Dollar Indonesian Rupiah including live quotes, historical charts and news. USDIDR US Dollar Indonesian Rupiah was last updated by Trading Economics this March 27 of 2025.

Romania Index: BVB: BET-FI: USD data was reported at 21,664.150 31Oct2000=1000 in Oct 2018. This records a decrease from the previous number of 22,605.380 31Oct2000=1000 for Sep 2018. Romania Index: BVB: BET-FI: USD data is updated monthly, averaging 18,762.400 31Oct2000=1000 from Oct 2000 (Median) to Oct 2018, with 217 observations. The data reached an all-time high of 93,657.370 31Oct2000=1000 in Jun 2007 and a record low of 920.580 31Oct2000=1000 in Apr 2001. Romania Index: BVB: BET-FI: USD data remains active status in CEIC and is reported by Bucharest Stock Exchange. The data is categorized under Global Database’s Romania – Table RO.Z001: Bucharest Stock Exchange: Index.

Romania Index: BVB: BET-PLUS: USD data was reported at 977.470 20Jun2014=1000 in Jun 2018. This records a decrease from the previous number of 982.840 20Jun2014=1000 for May 2018. Romania Index: BVB: BET-PLUS: USD data is updated monthly, averaging 899.910 20Jun2014=1000 from Jun 2014 (Median) to Jun 2018, with 49 observations. The data reached an all-time high of 1,112.520 20Jun2014=1000 in Mar 2018 and a record low of 724.840 20Jun2014=1000 in Jan 2016. Romania Index: BVB: BET-PLUS: USD data remains active status in CEIC and is reported by Bucharest Stock Exchange. The data is categorized under Global Database’s Romania – Table RO.Z001: Bucharest Stock Exchange: Index.

United States CSI: Savings: Stock Mkt Invts Current Val Increase: Median data was reported at 103,947.000 USD in May 2018. This records a decrease from the previous number of 108,184.000 USD for Apr 2018. United States CSI: Savings: Stock Mkt Invts Current Val Increase: Median data is updated monthly, averaging 70,766.500 USD from Jan 1990 (Median) to May 2018, with 246 observations. The data reached an all-time high of 149,333.000 USD in Oct 2015 and a record low of 10,435.000 USD in Mar 1990. United States CSI: Savings: Stock Mkt Invts Current Val Increase: Median data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H026: Consumer Sentiment Index: Savings & Retirement. Suppose that tomorrow someone were to invest one thousand dollars in a type What do you think is the percent chance that this one thousand dollar investment will increase in value in the year ahead, so that it is worth more than one thousand dollars one year from now?