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.

Russia MED Forecast: Foreign Exchange Rate: Year Average: US Dollar: Baseline Scenario data was reported at 75.156 RUB/USD in 2036. This records an increase from the previous number of 74.739 RUB/USD for 2035. Russia MED Forecast: Foreign Exchange Rate: Year Average: US Dollar: Baseline Scenario data is updated yearly, averaging 69.636 RUB/USD from Dec 2016 (Median) to 2036, with 21 observations. The data reached an all-time high of 75.156 RUB/USD in 2036 and a record low of 58.335 RUB/USD in 2017. Russia MED Forecast: Foreign Exchange Rate: Year Average: US Dollar: Baseline Scenario data remains active status in CEIC and is reported by Ministry of Economic Development of the Russian Federation. The data is categorized under Global Database’s Russian Federation – Table RU.ME002: Foreign Exchange Rate: Year Average: US Dollar: Forecast: Ministry of Economic Development.

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.

Sweden NIER Forecast: Exchange Rate: US Dollar data was reported at 7.500 SEK/USD in 2028. This records a decrease from the previous number of 7.600 SEK/USD for 2027. Sweden NIER Forecast: Exchange Rate: US Dollar data is updated yearly, averaging 7.400 SEK/USD from Dec 1971 (Median) to 2028, with 58 observations. The data reached an all-time high of 10.300 SEK/USD in 2001 and a record low of 4.200 SEK/USD in 1980. Sweden NIER Forecast: Exchange Rate: US Dollar data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.M020: Foreign Exchange Rate: Forecast: National Institute of Economic Research.

The official currency of Puerto Rico is the US Dollar. This dataset displays a chart with historical values for the US Dollar Index. 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

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 1.09 USD recorded at the end of March 21, 2025. The average (standardized) measure is based on the calculation of many observations throughout the period in question. It is therefore different than an annual measure at point in time, 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 19 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 in recent years.

Between 2025 and 2028, the U.S. dollar to Polish zloty exchange rate in Poland will maintain a stable value of 3.8453 zloty for one U.S. dollar.

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 USDMXN increased 0.2404 or 1.20% to 20.3451 on Thursday March 27 from 20.1047 in the previous trading session. Mexican Peso - values, historical data, forecasts and news - updated on March of 2025.

This dataset provides values for OFFICIAL EXCHANGE RATE LCU PER US DOLLAR PERIOD AVERAGE WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Long term dataset showing the daily Australian Dollar - U.S. Dollar (AUDUSD) exchange rate back to 1991.

The USDCAD decreased 0.0004 or 0.03% to 1.4262 on Thursday March 27 from 1.4266 in the previous trading session. Canadian Dollar - values, historical data, forecasts and news - updated on March of 2025.

Russia MED Forecast: FX Rate: Annual Average: US Dollar: Conservative Scenario data was reported at 74.736 USD/RUB in 2024. This records an increase from the previous number of 73.795 USD/RUB for 2023. Russia MED Forecast: FX Rate: Annual Average: US Dollar: Conservative Scenario data is updated yearly, averaging 73.795 USD/RUB from Dec 2020 (Median) to 2024, with 5 observations. The data reached an all-time high of 74.736 USD/RUB in 2024 and a record low of 71.942 USD/RUB in 2020. Russia MED Forecast: FX Rate: Annual Average: US Dollar: Conservative Scenario data remains active status in CEIC and is reported by Ministry of Economic Development of the Russian Federation. The data is categorized under Global Database’s Russian Federation – Table RU.MF002: Foreign Exchange Rate: Year Average: US Dollar: Forecast: Ministry of Economic Development.

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

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.

Graph and download economic data for Canadian Dollars to U.S. Dollar Spot Exchange Rate (DEXCAUS) from 1971-01-04 to 2025-03-21 about Canada, exchange rate, currency, rate, 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

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 market continues to evolve, driven by several key trends and challenges. One significant trend is the increasing use of money transfer agencies, venture capital investments, and mutual funds in foreign exchange transactions. The Internet of Things (IoT) and artificial intelligence (AI) revolutionize banking and financial services, enabling real-time personal finance software and content delivery for travelers and businesses. The uncertainty of future exchange rates fuels the demand for 24x7 trading opportunities. As urbanization progresses and digitalization becomes more prevalent, the market is expected to grow, offering numerous opportunities for businesses and investors.

What will be the Size of the Foreign Exchange Market During the Forecast Period?

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The market, also known as the forex or FX market, is a decentralized global market for the trading of currencies. It facilitates the conversion of one currency into another for various reasons, including international trade, tourism, hedging, speculation, and investment. Participants in this market include financial institutions, non-financial customers, individuals, retailers, corporate institutes, and central banks. Currencies are traded 24 hours a day, five days a week, due to the presence of multiple time zones and the interbank network.
Currency swaps, interest rate differentials, monetary interventions, economic indicators, political developments, and investment flows are some of the key drivers influencing the market. International trade, balance of payments, and economic instability in various countries also significantly impact currency values. Speculation and hedging activities, particularly by corporations and financial institutions, contribute to the volatility of currency rates. The market is increasingly leveraging artificial intelligence and Internet of Things technologies to optimize trading strategies, with mutual funds utilizing these advancements to enhance portfolio performance and manage currency risk more efficiently. The forex market plays a crucial role in facilitating international business transactions and managing risks associated with currency fluctuations.

How is this Foreign Exchange Industry segmented and which is the largest segment?

The 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.TypeReporting dealersFinancial institutionsNon-financial customersTrade Finance InstrumentsCurrency swapsOutright forward and FX swapsFX optionsCounterpartyReporting DealersOther Financial InstitutionsNon-Financial CustomersGeographyNorth AmericaCanadaUSEuropeGermanyUKAPACChinaIndiaJapanSouth AmericaBrazilMiddle East and Africa

By Type Insights

The reporting dealers segment is estimated to witness significant growth during the forecast period. The market, also known as Forex or FX, is a global financial market where participants buy, sell, and exchange currencies. This market involves various market participants, including financial institutions, non-financial customers, and corporations. Currency swaps, individuals, retailers, corporates, hedge funds, wealth managers, and foreign exchange services are among the key players. The markets facilitate international trade and investment flows, with economic indicators, political developments, inflationary pressures, and interest rate differentials influencing currency values. Monetary interventions, speculation, and risk appetite are also significant factors.
Modern technology and electronic platforms have increased efficiency and accessibility, enabling 24-hour operation. Currency exchange services, monetary policies, and regulations, including those by central banks, impact the market. Economic events, financial crises, and strategic corporate activities can cause volatility. Hedging strategies, accessible platforms, and personal finance considerations are essential for individual investors, small businesses, and multinational corporations dealing with major currency pairs. Online trading platforms and trade balances are crucial for managing currency risks in an increasingly globalized business environment.

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The Reporting dealers segment was valued at USD 278.60 billion in 2019 and showed a gradual increase during the forecast period.

Currency pairs are the foundation of forex trading, with spot trading being one of the most common methods of buying and selling currencies. Forward contracts and swap deals offer traders the ability to lock in exchange rates for future transactions, managing ris

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