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.

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.

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.

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 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 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.

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.

Prices for USDUST US Dollar Tether including live quotes, historical charts and news. USDUST US Dollar Tether was last updated by Trading Economics this March 1 of 2025.

Prices for SCRUSD Seychellois Rupee US Dollar including live quotes, historical charts and news. SCRUSD Seychellois Rupee US Dollar was last updated by Trading Economics this March 7 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.

Long term historical dataset of the daily U.S. Dollar - Chinese Yuan (USDCNY) exchange rate back to 1981.

Prices for LUNUSD Terra Luna / US Dollar including live quotes, historical charts and news. LUNUSD Terra Luna / US Dollar was last updated by Trading Economics this March 27 of 2025.

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

The price of Alphabet C shares traded on the Nasdaq stock exchange increased continuously during the period between January 2010 and October 2021, when the share price peaked at 148.27 U.S. dollars. Since then, the price of Alphabet C fluctuated and peaked again at 205.6 dollars as of the end of January 2025.

The price of Meta (former Facebook) shares traded on the Nasdaq stock exchange fluctuated significantly but increased overall during the period from May 2012 to January 2025. After peaking at 379.38 U.S. dollars per share in August 2021, the price of Meta shares started to fluctuate and exceeded its previous peak in 2025. The share price stood at 689.18 U.S. dollars as of the end of January 2025. Substantial fluctuations in the last few years Meta's stock prices have fluctuated particularly after the rebranding announcement in late 2021. Following the announcement and through 2022, Meta's revenue remained rather stagnant, and its net income decreased considerably. Moreover, the tech giant announced one of the industry's largest layoffs in late 2022. As a result, the share price hit a low of 93.16 U.S. dollars in October 2022, the lowest value observed since 2016. However, Meta's share price has been steadily recovering since then. Shift in strategy for the world’s first social network Meta has shifted its focus to the metaverse, virtual reality (VR), and augmented reality (AR), with the rebranding in late 2021. As a result, Reality Labs was established as a dedicated business and research unit to focus on developing metaverse and AR/VR technologies. However, as of early 2023, Meta still relies mainly on advertising and its Family of Apps to generate most of its revenue, despite having made significant investments in virtual reality. Reality Labs generated 2.1 billion U.S. dollars in revenue in 2024 and has been consistently incurring operating losses since 2019.

Long term historical dataset of the daily U.S. Dollar - Mexican Peso (USDMXN) exchange rate back to 1994.

The price of United Health shares traded on the New York Stock Exchange (NYSE) increased overall during the period between January 2010 and January 2025, despite fluctuations. As of the end of January 2025, the price of United Health stood at 509.26 U.S. dollars. However, this was lower than the peak value of 610.2 U.S. dollars that was reached in November 2024.

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.

Long term historical dataset of the daily U.S. Dollar - Japanese Yen (USDJPY) exchange rate back to 1971.