Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this August 9 of 2025.

The DXY exchange rate rose to 98.2498 on August 10, 2025, up 0.07% from the previous session. Over the past month, the United States Dollar has strengthened 0.41%, but it's down by 4.69% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on August of 2025.

Graph and download economic data for Nominal Emerging Market Economies U.S. Dollar Index (DTWEXEMEGS) from 2006-01-02 to 2025-07-25 about trade-weighted, emerging markets, exchange rate, currency, goods, services, rate, indexes, and USA.

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 ***, whereas analysts suspected it should be around ** 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 **** 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.

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

The EUR/USD exchange rate fell to 1.1640 on August 8, 2025, down 0.32% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has weakened 0.83%, but it's up by 6.64% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on August of 2025.

Laos FX Rate: BOL: LAK to US Dollar: Parallel Market Rate: Buy: End data was reported at 21,413.333 LAK/USD in Apr 2025. This records an increase from the previous number of 21,406.667 LAK/USD for Mar 2025. Laos FX Rate: BOL: LAK to US Dollar: Parallel Market Rate: Buy: End data is updated monthly, averaging 10,170.000 LAK/USD from Jan 2017 (Median) to Apr 2025, with 100 observations. The data reached an all-time high of 26,233.333 LAK/USD in Jun 2024 and a record low of 8,291.667 LAK/USD in Jan 2018. Laos FX Rate: BOL: LAK to US Dollar: Parallel Market Rate: Buy: End data remains active status in CEIC and is reported by Bank of the Lao PDR. The data is categorized under Global Database’s Laos – Table LA.M: Foreign Exchange Rate.

Abstract

Currency exchange rate is an important metric to inform economic policy but traditional sources are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual rate trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes currency exchange rate estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following sub-national areas: Abia, Borno, Yobe, Katsina, Kano, Kaduna, Gombe, Jigawa, Kebbi, Oyo, Sokoto, Zamfara, Lagos, Adamawa, Market Average

One United States dollar was worth over ****** Indonesian rupiah in May 2024, the highest value in a comparison of over 50 different currencies worldwide. All countries and territories shown here are based on the Big Mac Index - a measurement of how much a single Big Mac is worth across different areas in the world. This exchange rate comparison reveals a strong position of the dollar in Asia and Latin America. Note, though, that several of the top currencies shown here do not rank among the most traded. The quarterly U.S. dollar exchange rate against the ten biggest forex currencies only contains the Korean won and the Japanese yen.

Concept: For the sake of time series organization, exchange rates have been grouped in two segments: I – Administered or free rates, covering the whole period since 1899, and II – Floating rates, which have been in place in the period of January 1989 to January 1999 and coexisted with the first segment. I – Administered or free exchange rates Available since 1899. In this period covered by the time series a great diversity of foreign exchange policies have been adopted. During some times, exchange rates were fixed (i.e. administered) by the monetary authorities, whereas in other times rates were freely agreed by market participants (i.e. they were free) and there were even times when both administered and free rates have existed at the same time. It should also be emphasized that between 1953 and 1961 a system of multiple exchange rates have been in place. For these time series the following kinds of exchange rates have been considered: - From January 1899 to January 1953 – administered rates; - From February 1953 to October 1961 – free rates, coming from the Exchange Portfolio of the Banco do Brasil. In this period administered rates have also been in place, with sell rates fixed on: CR$ 18,72, from Feb/1953 to Jul/1953; CR$ 18,82, from Aug/1953 to Dec/1958; and CR$ 18,92, from Jan/1959 to Feb/1961. In the beginning of the period most transactions were channeled through the administered rates system. As time went by, the number of transactions going through the free rates system grew. - From November 1961 to February 1990 – administered rates; and - From March 1990 onwards, free rates (Resolution 1.690 from 18.3.1990). The corresponding time series are the following ones: - Commercial dollar (sell and buy) – daily rates Available from 28.11.1984 onwards, refers to administered rates up to March 13th 1990 and to free rates from this date on (Resolution 1.690 from 18.3.1990). Administered rates are the ones fixed by the Central Bank. Free rates are the average of the rates of transactions effectively closed in the interbank market, weighted by the volume of sell transactions in the day. Outliers and rates presenting evidence of manipulation or other violations of the generally accepted market practices are excluded from the calculation. From March 1992 on, this rate was named PTAX. The series “American dollar – buy and sell – end of period” and “American dollar – buy and sell – period average” are derived respectively from these buy and sell daily rates. - American dollar – end of period Refers to the dollar administered rates expressed in Mil-réis for the period 1899-1941. The Mil-réis/dollar rates for the period 1899-1921 were computed from the pound/dollar parity. Discontinued in 1941. - American dollar (buy and sell) – end of period Annual rates are available from 1942 on and monthly rates from January 1953 on. End of period values correspond to the daily rate of the reference period´s last day. - American dollar (buy and sell) – period average Annual rates are available from 1942 on and monthly rates from January 1953 on. Buy and sell average rates are computed from the reference period daily rates. Monthly and annual rates were computed based on the running days of the reference up until December 1973. From January 1974 on, rates were weighted by the working days. II – Floating exchange rates Created by the Resolution 1.552 from 22.12.1988, this segment of the exchange market allowed markets participants to freely agree on the price of the foreign currency being negotiated. It initially covered only transactions related to international travel motivated by tourism, business, education and health. Later, other kinds of transactions were incorporated in the segment, such as gold, Brazilian investments abroad, unilateral transfers and some services. On 31.1.1999 this segment was terminated and the free and floating rates were merged. Series related to this segment are the following: - Tourism dollar (sell) Daily rates in the floating rate segment, available for the period between 27.5.1993 to 29.1.1999. The computation of this rate takes into account transactions in the interbank market weighted by the volume of sell transactions. Outliers and rates presenting evidence of manipulation or other violations of the generally accepted market practices are excluded from the computation. The series “American dollar – buy and sell – end of period” and “American dollar – buy and sell – period average” are derived respectively from these buy and sell daily rates. - American dollar (buy and sell) – end of period Rates for the last day of the reference period, computed for both buy and sell transactions. - American dollar (buy and sell) – period average Average of the daily rates of the reference period (month or year), computed for buy and sell transactions, weighted by the number of working days. Source: Central Bank Information System – PTAX800 transaction 10813-exchange-rate---free---united-states-dollar-buy 10813-exchange-rate---free---united-states-dollar-buy

The euro-to-dollar exchange rate fluctuated significantly in 2022, reaching its lowest recorded value since 2008 during that time. Figures were different later in the year, however, with a rate of 1.16 USD recorded at the end of August 6, 2025. The average (standardized) measure is based on the calculation of many observations throughout the period in question. It is therefore different from an annual measure at a point, which reflects concrete values as of end of the year.EstablishmentThe euro, which was established in 1992, introduced in non-physical form in 1999 and finally rolled out in 2002, is used by 19 of the 27 member states of the European Union. This group of countries is otherwise known as the eurozone or euro area. By 2018, the total value of euro currency in circulation was almost 1.2 trillion euros, or over 3.4 thousand euros per capita.Euro to USDBetween 2001 and 2008, the average annual exchange rate of the euro to the U.S. dollar noted a steep increase. In 2008, the euro to U.S. dollar annual average exchange rate was equal to 1.47, which meant that one euro could buy 1.47 U.S. dollars. By 2019, this value had decreased overall, to a value of 1.12 which meant that one euro could buy 1.12 U.S. dollars. Similar dynamics in the euro to U.S. dollar exchange rate were also reflected in the monthly exchange rate recently.

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. By July 15, 2025, the DXY index was around 98.01 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 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.

USD index is expected to strengthen in the near term due to persistent safe-haven demand amid global economic uncertainties. The risk associated with this prediction is the potential for a correction if risk appetite improves or the Federal Reserve signals a dovish pivot.

Snapshot img

Foreign Exchange Market Size 2025-2029

The foreign exchange market size is forecast to increase by USD 582 billion, at a CAGR of 10.6% between 2024 and 2029.

The Foreign Exchange Market is segmented by type (reporting dealers, financial institutions, non-financial customers), trade finance instruments (currency swaps, outright forward and FX swaps, FX options), trading platforms (electronic trading, over-the-counter (OTC), mobile trading), and geography (North America: US, Canada; Europe: Germany, Switzerland, UK; Middle East and Africa: UAE; APAC: China, India, Japan; South America: Brazil; Rest of World). This segmentation reflects the market's global dynamics, driven by institutional trading, increasing digital adoption through electronic trading and mobile trading, and regional economic activities, with APAC markets like India and China showing significant growth alongside traditional hubs like the US and UK.
The market is experiencing significant shifts driven by the escalating trends of urbanization and digitalization. These forces are creating 24x7 trading opportunities, enabling greater accessibility and convenience for market participants. However, the market's dynamics are not without challenges. The uncertainty of future exchange rates poses a formidable obstacle for businesses and investors alike, necessitating robust risk management strategies. As urbanization continues to expand and digital technologies reshape the trading landscape, market players must adapt to remain competitive. One significant trend is the increasing use of money transfer agencies, venture capital investments, and mutual funds in foreign exchange transactions. Companies seeking to capitalize on these opportunities must navigate the challenges effectively, ensuring they stay abreast of exchange rate fluctuations and implement agile strategies to mitigate risk.
The ability to adapt and respond to these market shifts will be crucial for success in the evolving market.

What will be the Size of the Foreign Exchange Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic and intricate realm of the market, entities such as algorithmic trading, order book, order management systems, and liquidity risk intertwine, shaping the ever-evolving market landscape. The market's continuous unfolding is characterized by the integration of various components, including sentiment analysis, Fibonacci retracement, mobile trading, and good-for-the-day orders. Market activities are influenced by factors like political stability, monetary policy, and market liquidity, which in turn impact economic growth and trade settlement. Technical analysis, with its focus on chart patterns and moving averages, plays a crucial role in informing trading decisions. The market's complexity is further amplified by the presence of entities like credit risk, counterparty risk, and operational risk.

Central bank intervention, order execution, clearing and settlement, and trade confirmation are essential components of the market's infrastructure, ensuring a seamless exchange of currencies. Geopolitical risk, currency correlation, and inflation rates contribute to currency volatility, necessitating hedging strategies and risk management. Market risk, interest rate differentials, and commodity currencies influence trading strategies, while cross-border payments and brokerage services facilitate international trade. The ongoing evolution of the market is marked by the emergence of advanced trading platforms, automated trading, and real-time data feeds, enabling traders to make informed decisions in an increasingly interconnected and complex global economy.

How is this Foreign Exchange Industry segmented?

The foreign exchange industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Reporting dealers
  Financial institutions
  Non-financial customers


Trade Finance Instruments

  Currency swaps
  Outright forward and FX swaps
  FX options


Trading Platforms

  Electronic Trading
  Over-the-Counter (OTC)
  Mobile Trading


Geography

  North America

    US
    Canada


  Europe

    Germany
    Switzerland
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The reporting dealers segment is estimated to witness significant growth during the forecast period.

The market is a dynamic and complex ecosystem where various entities interplay to manage currency risks and facilitate international trade. Reporting dealers, as key participants,

Kazakhstan Foreign Exchange Rate: Market Rate: Weighted Average: US Dollar data was reported at 366.900 KZT/USD in Oct 2018. This records a decrease from the previous number of 367.910 KZT/USD for Sep 2018. Kazakhstan Foreign Exchange Rate: Market Rate: Weighted Average: US Dollar data is updated monthly, averaging 149.505 KZT/USD from Jan 2002 (Median) to Oct 2018, with 202 observations. The data reached an all-time high of 367.910 KZT/USD in Sep 2018 and a record low of 118.060 KZT/USD in Jul 2006. Kazakhstan Foreign Exchange Rate: Market Rate: Weighted Average: US Dollar data remains active status in CEIC and is reported by The National Bank of the Republic of Kazakhstan. The data is categorized under Global Database’s Kazakhstan – Table KZ.M006: Foreign Exchange Rate.

The USD to EUR exchange rate in 2022 will be roughly 30 percent higher than it was in 2012, revealing a very strong dollar against the euro. The value of 0.86 euros per dollar was noticeably higher than the 2016 peak of 0.95 euros per dollar, but still above the price before the Eurozone Crisis. This started in 2009 and was caused by the difficulties of several European countries with repaying government debt.What does the exchange rate mean?At any single point, an exchange rate is simply a measure of the value of one currency in terms of another. However, when the exchange rate shifts, one currency gets 'stronger' and the other 'weaker'. This is particularly important in international trade. A strong currency makes imports cheaper, so one could expect the trade balance of a country with a strong currency to decrease. In such a way, a strong currency would hurt a country with a high trade surplus.Exchange rate investmentsThere is a financial market built around currency fluctuations. The foreign exchange market, or forex market, has a daily turnover of trillions of dollars. This market is critical for international trade, but many investors simply use it to speculate.

Average daily turnover of the U.S. dollar on global foreign exchange (forex) markets increased more than **** fold from 2001 to 2022. In total - covering both spot transactions and forex derivatives like swaps, forwards and options - the average daily turnover of the U.S. dollar as of ********** amounted to *** trillion U.S. dollars. The forex - or foreign exchange market - turnover per day is a figure that is not often measured, only once every three years. No figures are available for 2020, for instance.

The U.S. dollar was the most common currency in foreign exchange reserves in 2025, comprising more than three times the amount of the euro in global reserves that year. This total peaked in 2015, partly due to the strength of the dollar during the Eurozone crisis. The share of the U.S. dollar has lost since to the Japanese yen and euro, as well as other currencies. Why do foreign exchange reserves matter? When countries with different currencies export goods, they must agree on a currency for payment. As a result, countries hold currency reserves worth trillions of U.S. dollars. After World War II, the U.S. dollar itself became the international currency in the Bretton Woods Agreement and is thus the most common currency for international payments. The United States Treasury is also seen by most as risk-free, giving the country a low-risk premium. For this reason, countries hold U.S. dollars in reserve because the currency holds value relatively well eventually. China and currency reserves Since 2016, the International Monetary Fund has included the Chinese renminbi (yuan) as part of the Special Drawing Rights (SDR) basket. This decision recognized the influence of the renminbi as a reserve currency, particularly in several Asian countries. China also holds significant foreign exchange reserves itself, funded by its large positive trade balance.

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

In April 2025, the exchange rate of yuan to U.S. dollar was ****. In the past decades, the yuan has undergone a slow liberalization, being increasingly exposed to the international money market. FOREX history of the Renminbi After the Communist Party took control over China, it introduced a unified currency which has since then undergone many changes. During the planned economy, the yuan had a fixed exchange rate. At the time, the currency’s exchange rate was deliberately set high to support the industrial development, which relied on imports. After the country committed to opening its economy, the Renminbi was gradually exposed to the supply and demand of the global FOREX markets. Until 2005, the yuan remained pegged to the U.S. dollar. Currency manipulator, or not? As China manifested its role in the global economy, the country was repeatedly accused of manipulating the value of its currency. Especially, voices from the United States claimed that Beijing would intentionally keep the value of the yuan low. A cheap Renminbi would make products from China more attractive for foreign buyers which in turn would support the country’s export-driven economy. However, currency manipulation is difficult to make out and even harder to prove, which is why no significant actions have been taken.