Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this June 27 of 2025.

Interactive chart of historical data showing 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.

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 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.

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.

The DXY exchange rate rose to 97.2687 on June 27, 2025, up 0.13% from the previous session. Over the past month, the United States Dollar has weakened 2.61%, and is down by 8.10% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on June of 2025.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-06-20 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

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 June of 2025.

The EUR/USD exchange rate rose to 1.1713 on June 27, 2025, up 0.17% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 3.72%, and is up by 9.34% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on June of 2025.

The CAPIVIX Index gives crypto traders something traditional markets have long relied on - a clear measure of expected market volatility. Think of it as the VIX for Bitcoin and Ethereum, showing what the market anticipates for price swings over the next 30 days.

This crypto volatility index tracks market sentiment for BTC/USD and ETH/USD pairs by analyzing options data from major derivatives exchanges. When CAPIVIX rises, it signals increased uncertainty and potential turbulence ahead. When it falls, markets are expecting calmer conditions.

What makes CAPIVIX valuable is its methodology - we've adapted the widely-trusted VIX calculation approach to work specifically with cryptocurrency options. This gives you a standardized way to gauge market anxiety or confidence across different market conditions.

The index updates continuously throughout trading hours, incorporating real-time options pricing to reflect the market's evolving risk perception. For traders and investors looking to understand market sentiment beyond price movements alone, CAPIVIX provides that crucial additional dimension of market intelligence.

➡️ Why choose us?

📊 Market Coverage & Data Types: ◦ Real-time and historical data since 2010 (for chosen assets) ◦ Full order book depth (L2/L3) ◦ Trade-by-trade data ◦ OHLCV across multiple timeframes ◦ Market indexes (VWAP, PRIMKT) ◦ Exchange rates with fiat pairs ◦ Spot, futures, options, and perpetual contracts ◦ Coverage of 90%+ global trading volume ◦ Bitcoin Price Data

🔧 Technical Excellence: ◦ 99% uptime guarantee ◦ Multiple delivery methods: REST, WebSocket, FIX, S3 ◦ Standardized data format across exchanges ◦ Ultra-low latency data streaming ◦ Detailed documentation ◦ Custom integration assistance

Whether you're hedging positions, timing entries and exits, or just wanting to better understand market psychology, our Bitcoin and Ethereum volatility data offers valuable insights into what the market collectively expects in the weeks ahead.

Prices for USDVND US Dollar Vietnamese Dong including live quotes, historical charts and news. USDVND US Dollar Vietnamese Dong was last updated by Trading Economics this June 28 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.

Interactive chart illustrating the performance of the Dow Jones Industrial Average (DJIA) market index over the last ten years. Each point of the stock market graph is represented by the daily closing price for the DJIA. Historical data can be downloaded via the red button on the upper left corner of the chart.

Taiwan ImPI: USD: SITC: Food and Live Animals Chiefly for Food data was reported at 190.740 2001=100 in Dec 2007. This records an increase from the previous number of 187.560 2001=100 for Nov 2007. Taiwan ImPI: USD: SITC: Food and Live Animals Chiefly for Food data is updated monthly, averaging 105.075 2001=100 from Jan 1981 (Median) to Dec 2007, with 324 observations. The data reached an all-time high of 190.740 2001=100 in Dec 2007 and a record low of 78.620 2001=100 in Feb 1987. Taiwan ImPI: 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.I059: Import Price Index: 2001=100: USD.

Graph and download economic data for Real Broad Effective Exchange Rate for United States (RBUSBIS) from Jan 1994 to May 2025 about broad, exchange rate, currency, real, rate, indexes, and USA.

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.

Prices for BTCUSD Bitcoin US Dollar including live quotes, historical charts and news. BTCUSD Bitcoin US Dollar was last updated by Trading Economics this May 29 of 2025.

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. 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. 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.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average (CUUR0000SA0R) from Jan 1913 to May 2025 about urban, consumer, CPI, inflation, price index, indexes, price, and USA.

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.