Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this August 7 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 fell to 98.2921 on August 8, 2025, down 0.11% from the previous session. Over the past month, the United States Dollar has strengthened 0.76%, but it's down by 4.71% 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.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-08-01 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 August of 2025.

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.

When converted to the value of one US dollar in 2020, goods and services that cost one dollar in 1700 would cost just over 63 dollars in 2020, this means that one dollar in 1700 was worth approximately 63 times more than it is today. This data can be used to calculate how much goods and services from the years shown would cost today, by multiplying the price from then by the number shown in the graph. For example, an item that cost 50 dollars in 1970 would theoretically cost 335.5 US dollars in 2020 (50 x 6.71 = 335.5), although it is important to remember that the prices of individual goods and services inflate at different rates than currency, therefore this graph must only be used as a guide.

Prices for USDJPY US Dollar Japanese Yen including live quotes, historical charts and news. USDJPY US Dollar Japanese Yen was last updated by Trading Economics this August 3 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.

Prices for USDIDR US Dollar Indonesian Rupiah including live quotes, historical charts and news. USDIDR US Dollar Indonesian Rupiah was last updated by Trading Economics this August 6 of 2025.

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 Jun 2025 about urban, consumer, CPI, inflation, price index, indexes, price, and USA.

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.

Graph and download economic data for South Korean Won to U.S. Dollar Spot Exchange Rate (DEXKOUS) from 1981-04-13 to 2025-08-01 about Korea, exchange rate, currency, rate, and USA.

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 August 7 of 2025.

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

Stay informed with real-time charts of international precious metal prices. Monitor spot prices for Silver in USD, GBP, and EUR. Access live updates here >>

Real-Time Material Price Index API Market Outlook

According to our latest research, the global Real-Time Material Price Index API market size reached USD 1.48 billion in 2024, reflecting strong momentum driven by surging demand for dynamic pricing intelligence across industries. The market is projected to grow at a robust CAGR of 16.2% from 2025 to 2033, reaching a forecasted size of USD 5.15 billion by 2033. This accelerated expansion is primarily attributed to the increasing adoption of digital procurement, supply chain automation, and the need for real-time materials cost transparency in volatile global markets.

The growth of the Real-Time Material Price Index API market is propelled by several critical factors. The rise in globalization and the complexity of supply chains have made it imperative for organizations to access accurate, up-to-the-minute pricing data for a wide array of raw materials. As commodity prices continue to fluctuate due to geopolitical tensions, trade policies, and environmental disruptions, the reliance on real-time APIs for price tracking and forecasting has become a strategic necessity. Enterprises are leveraging these APIs to optimize procurement decisions, manage risk, and maintain competitiveness in fast-evolving markets. The integration of artificial intelligence and machine learning into these solutions further enhances their predictive capabilities, enabling organizations to anticipate price shifts and plan accordingly.

Another significant driver is the digital transformation sweeping through traditional sectors such as construction, manufacturing, and energy. These industries are increasingly deploying Real-Time Material Price Index APIs to automate their procurement processes, minimize human error, and ensure compliance with contractual obligations tied to material costs. The ability to seamlessly integrate these APIs with enterprise resource planning (ERP) and supply chain management (SCM) systems has unlocked new efficiencies and cost savings. Furthermore, the proliferation of cloud-based deployment models has democratized access to real-time pricing intelligence, making it feasible for small and medium-sized enterprises (SMEs) to harness the same tools as large corporations.

The market is also benefiting from heightened regulatory scrutiny and sustainability initiatives. Governments and regulatory bodies are mandating greater transparency in sourcing and pricing, particularly for critical and rare materials. Real-Time Material Price Index APIs are playing a pivotal role in helping organizations meet these requirements by providing auditable, real-time data feeds. Additionally, as companies strive to achieve sustainability targets, these APIs aid in evaluating the cost implications of alternative sourcing strategies and greener materials. This confluence of regulatory, operational, and strategic factors is expected to sustain the market’s growth trajectory through the forecast period.

Regionally, North America leads the Real-Time Material Price Index API market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, has witnessed widespread adoption across its construction and manufacturing sectors, driven by the rapid digitization of supply chains and robust investment in procurement technologies. Europe is experiencing a surge in demand, fueled by stringent regulatory frameworks and the push for sustainable sourcing. Meanwhile, Asia Pacific is emerging as the fastest-growing region, with countries like China and India investing heavily in digital infrastructure and industrial automation. Latin America and the Middle East & Africa are gradually catching up, propelled by modernization initiatives and the growing need for supply chain resilience.

Component Analysis

The Real-Time Material Price Index API market is segmented by component into software and services. The software segment dominates the market, driven by the proliferation of advanced API platforms that offer real-time da