Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this August 2 of 2025.

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.

The DXY exchange rate rose to 99.9812 on August 1, 2025, up 0.01% from the previous session. Over the past month, the United States Dollar has strengthened 3.31%, but it's down by 3.13% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on August 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

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.

Prices for United States Stock Market Index (US30) including live quotes, historical charts and news. United States Stock Market Index (US30) was last updated by Trading Economics this August 2 of 2025.

At **** U.S. dollars, Switzerland has the most expensive Big Macs in the world, according to the January 2025 Big Mac index. Concurrently, the cost of a Big Mac was **** dollars in the U.S., and **** U.S. dollars in the Euro area. What is the Big Mac index? The Big Mac index, published by The Economist, is a novel way of measuring whether the market exchange rates for different countries’ currencies are overvalued or undervalued. It does this by measuring each currency against a common standard – the Big Mac hamburger sold by McDonald’s restaurants all over the world. Twice a year the Economist converts the average national price of a Big Mac into U.S. dollars using the exchange rate at that point in time. As a Big Mac is a completely standardized product across the world, the argument goes that it should have the same relative cost in every country. Differences in the cost of a Big Mac expressed as U.S. dollars therefore reflect differences in the purchasing power of each currency. Is the Big Mac index a good measure of purchasing power parity? Purchasing power parity (PPP) is the idea that items should cost the same in different countries, based on the exchange rate at that time. This relationship does not hold in practice. Factors like tax rates, wage regulations, whether components need to be imported, and the level of market competition all contribute to price variations between countries. The Big Mac index does measure this basic point – that one U.S. dollar can buy more in some countries than others. There are more accurate ways to measure differences in PPP though, which convert a larger range of products into their dollar price. Adjusting for PPP can have a massive effect on how we understand a country’s economy. The country with the largest GDP adjusted for PPP is China, but when looking at the unadjusted GDP of different countries, the U.S. has the largest economy.

The EUR/USD exchange rate rose to 1.1590 on August 1, 2025, up 1.48% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has weakened 1.76%, but it's up by 6.24% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on August of 2025.

Prices for BTCUSD Bitcoin US Dollar including live quotes, historical charts and news. BTCUSD Bitcoin US Dollar was last updated by Trading Economics this July 28 of 2025.

IMPI: Food and Live Animals data was reported at 112.000 1991=100 in Dec 1994. This records an increase from the previous number of 108.000 1991=100 for Sep 1994. IMPI: Food and Live Animals data is updated quarterly, averaging 110.500 1991=100 from Mar 1992 (Median) to Dec 1994, with 12 observations. The data reached an all-time high of 113.000 1991=100 in Mar 1994 and a record low of 97.000 1991=100 in Mar 1992. IMPI: Food and Live Animals data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.I068: Import Price Index: US Dollar Base: 1991=100: Quarterly.

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Taiwan ImPI: USD: SITC: Food & Edible Live Animals data was reported at 168.150 2006=100 in Dec 2012. This records a decrease from the previous number of 172.220 2006=100 for Nov 2012. Taiwan ImPI: USD: SITC: Food & Edible Live Animals data is updated monthly, averaging 78.180 2006=100 from Jan 1981 (Median) to Dec 2012, with 384 observations. The data reached an all-time high of 178.810 2006=100 in Aug 2011 and a record low of 57.140 2006=100 in Feb 1987. Taiwan ImPI: USD: SITC: Food & Edible Live Animals data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.I057: Import Price Index: 2006=100: USD.

Taiwan ExPI: USD: SITC: Food and Live Animals Chiefly for Food data was reported at 133.520 2001=100 in Dec 2007. This records an increase from the previous number of 132.990 2001=100 for Nov 2007. Taiwan ExPI: USD: SITC: Food and Live Animals Chiefly for Food data is updated monthly, averaging 113.140 2001=100 from Jan 1981 (Median) to Dec 2007, with 324 observations. The data reached an all-time high of 182.620 2001=100 in Jun 1999 and a record low of 82.700 2001=100 in Nov 1982. Taiwan ExPI: USD: SITC: Food and Live Animals Chiefly for Food data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.I065: Export Price Index: 2001=100: USD.

Korea ImPI: USD: By SITC: Food & Live Animals data was reported at 174.710 2005=100 in Dec 2012. This records a decrease from the previous number of 176.260 2005=100 for Nov 2012. Korea ImPI: USD: By SITC: Food & Live Animals data is updated monthly, averaging 90.315 2005=100 from Jan 1971 (Median) to Dec 2012, with 504 observations. The data reached an all-time high of 188.260 2005=100 in Apr 2011 and a record low of 59.770 2005=100 in Jan 1971. Korea ImPI: USD: By SITC: Food & Live Animals data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s Korea – Table KR.I071: Import Price Index (USD Basis): 2005=100.

Korea ExPI: USD: By SITC: Food & Live Animals data was reported at 139.100 2005=100 in Dec 2012. This records a decrease from the previous number of 141.170 2005=100 for Nov 2012. Korea ExPI: USD: By SITC: Food & Live Animals data is updated monthly, averaging 81.770 2005=100 from Jan 1971 (Median) to Dec 2012, with 504 observations. The data reached an all-time high of 155.000 2005=100 in Sep 2011 and a record low of 20.640 2005=100 in Jul 1971. Korea ExPI: USD: By SITC: Food & Live Animals data remains active status in CEIC and is reported by The Bank of Korea. The data is categorized under Global Database’s South Korea – Table KR.I069: Export Price Index (USD Basis): 2005=100.

Thailand ImPI: USD: CA: Live Animal and Plant for Purebred Breeding data was reported at 113.600 2007=100 in Jan 2013. This records a decrease from the previous number of 113.900 2007=100 for Dec 2012. Thailand ImPI: USD: CA: Live Animal and Plant for Purebred Breeding data is updated monthly, averaging 99.400 2007=100 from Jan 2000 (Median) to Jan 2013, with 157 observations. The data reached an all-time high of 115.100 2007=100 in Apr 2012 and a record low of 84.200 2007=100 in Apr 2000. Thailand ImPI: USD: CA: Live Animal and Plant for Purebred Breeding data remains active status in CEIC and is reported by Bureau of Trade and Economic Indices. The data is categorized under Global Database’s Thailand – Table TH.I060: Export and Import Price Index: 2007=100.

Prices for United States Stock Market Index (US500) including live quotes, historical charts and news. United States Stock Market Index (US500) was last updated by Trading Economics this July 23 of 2025.

Taiwan ImPI: USD: Live Animals; Animal Products (AP) data was reported at 111.950 2016=100 in Oct 2018. This records a decrease from the previous number of 112.130 2016=100 for Sep 2018. Taiwan ImPI: USD: Live Animals; Animal Products (AP) data is updated monthly, averaging 53.825 2016=100 from Jan 1981 (Median) to Oct 2018, with 454 observations. The data reached an all-time high of 115.600 2016=100 in May 2018 and a record low of 42.550 2016=100 in Jan 1986. Taiwan ImPI: USD: Live Animals; Animal Products (AP) data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.I069: Import Price Index: 2016=100: USD.

Taiwan ExPI: USD: Live Animals; Animal Products (AP) data was reported at 116.220 2016=100 in Jun 2018. This stayed constant from the previous number of 116.220 2016=100 for May 2018. Taiwan ExPI: USD: Live Animals; Animal Products (AP) data is updated monthly, averaging 77.485 2016=100 from Jan 1998 (Median) to Jun 2018, with 246 observations. The data reached an all-time high of 138.830 2016=100 in Feb 2012 and a record low of 49.620 2016=100 in Jan 2002. Taiwan ExPI: USD: Live Animals; Animal Products (AP) data remains active status in CEIC and is reported by Directorate-General of Budget, Accounting and Statistics, Executive Yuan. The data is categorized under Global Database’s Taiwan – Table TW.I063: Export Price Index: 2016=100: USD.

Prices for US 100 Tech Index including live quotes, historical charts and news. US 100 Tech Index was last updated by Trading Economics this August 1 of 2025.