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

The US dollar index of November 10, 2025 was lower than it was in October 2025, although still above the level in June 2025, the lowest value in the current year. 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 October 1, 2025, the DXY index was around 97.66 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's less about 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 99.4202 on December 2, 2025, up 0.01% from the previous session. Over the past month, the United States Dollar has weakened 0.45%, and is down by 6.53% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on December of 2025.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-11-28 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

This dataset contains the predicted prices of the asset US Dollar Index over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

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The raw data that is used in this dataset is the basic OHLC time series dataset for a gold market of the last 20 years collected and verified from different exchanges. This dataset contains over 8677 daily candle prices (rows) and in order to make it wealthy, extra datasets were merged with it to provide more details to each data frame. The sub-datasets contain historical economic information such as interest rates, inflation rates, and others that are highly related and affecting the gold market movement.

Raw dataset:

Time Range: 1988-08-01 to 2023-11-10 Number of data entries: 4050 Number of features: 4 (open, high, low, close OHLC daily candle price)

What are done to prepare this dataset : 1. Starting Exploratory Data Analysis (EDA) for all the raw datasets. 2. Find and fill in missing days. 3. Merge all the datasets into one master dataset based on the time index. 4. Verify the merge process. 5. Check and remove Duplicates. 6. Check and fill in missing values. 7. Including the basic technical indicators and price moving averages. 8. Outliers Inspection and treatment by different methods. 9. Adding targets. 10. Feature Analysis to identify the importance of each feature. 11. Final check.

After data preparation and feature engineering:

Time Range: 1999-12-30 to 2023-10-01

Number of data entries: 8677

Number of featuers: 28

Features list: open, high, low, close (OHLC daily candle price) dxy_open, dxy_close, dxy_high, dxy_low, fred_fedfunds, usintr, usiryy (Ecnomic inducators) RSI, MACD, MACD_signal, MACD_hist, ADX, CCI (Technical indicators) ROC SMA_10, SMA_20, EMA_10, EMA_20, SMA_50, EMA_50, SMA_100, SMA_200, EMA_100, EMA_200 (Moving avrages)

Targets List: next_1_day_price next_3_day_price next_7_day_price next_30_day_price next_1_day_Price_Change next_3_day_Price_Change next_7_day_Price_Change next_30_day_Price_Change next_30_day_Price_Change next_1_day_price_direction( Up, Same ,Down) next_3_day_price_direction( Up, Same ,Down) next_7_day_price_direction( Up, Same ,Down) next_30_day_price_direction( Up, Same ,Down)

Abbreviations of Features: dxy = US Dollar Index fred_fedfunds= Effective Federal Funds Rate usintr= US Interest Rate usiryy= US Inflation Rate YOY RSI= Relative Strength Index MACD= Moving Average Convergence Divergence ADX= Avrerage Directional Index CCI=Commodity Channel Index ROC= Rate of Change SMA= Simple Moving Average EMA= Exponential Moving Average

View market daily updates and historical trends for Trade Weighted US Dollar Index: Broad, Goods and Services. from United States. Source: Federal Reserve…

Graph and download economic data for Nominal Emerging Market Economies U.S. Dollar Index (DTWEXEMEGS) from 2006-01-02 to 2025-10-31 about trade-weighted, emerging markets, exchange rate, currency, goods, services, rate, indexes, and USA.

Index Time Series for Invesco DB US Dollar Index Bullish Fund. The frequency of the observation is daily. Moving average series are also typically included. The fund invests in futures contracts in an attempt to track its index. The index is calculated to reflect the changes in market value over time, whether positive or negative, of long positions in DX Contracts.

Prices for DXY - 환율 including live quotes, historical charts and news. DXY - 환율 was last updated by Trading Economics this December 2 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: Ascending or Descending?

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

Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: U.S. Dollar Index: Futures: Open Interest data was reported at 6.598 % in 01 Dec 2025. This records an increase from the previous number of 6.479 % for 24 Nov 2025. Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: U.S. Dollar Index: Futures: Open Interest data is updated weekly, averaging 0.100 % from Mar 2020 (Median) to 01 Dec 2025, with 300 observations. The data reached an all-time high of 22.114 % in 15 May 2023 and a record low of 0.000 % in 18 Dec 2023. Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: U.S. Dollar Index: Futures: Open Interest data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Japan – Table JP.CEIC.NC: CEIC Nowcast: Exports.

Graph and download economic data for Trade Weighted U.S. Dollar Index: Major Currencies, Goods (DISCONTINUED) (TWEXM) from 1973-01-03 to 2020-01-01 about major, trade-weighted, exchange rate, currency, goods, rate, indexes, and USA.

Graph and download economic data for Nominal Advanced Foreign Economies U.S. Dollar Index (DTWEXAFEGS) from 2006-01-02 to 2025-11-28 about trade-weighted, foreign, exchange rate, currency, goods, services, rate, indexes, and USA.

Blockchain data query: Arbitrum DeFi Dollar Index - Asset-Market Rates

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.

United States Retail Sales Nowcast: sa: YoY: Contribution: Foreign Exchange Rates: Trade Weighted Dollar Index: Nominal: Broad Dollar Index data was reported at 0.278 % in 12 May 2025. This stayed constant from the previous number of 0.278 % for 05 May 2025. United States Retail Sales Nowcast: sa: YoY: Contribution: Foreign Exchange Rates: Trade Weighted Dollar Index: Nominal: Broad Dollar Index data is updated weekly, averaging 0.001 % from Feb 2020 (Median) to 12 May 2025, with 274 observations. The data reached an all-time high of 10.533 % in 03 Feb 2025 and a record low of 0.000 % in 13 Jan 2025. United States Retail Sales Nowcast: sa: YoY: Contribution: Foreign Exchange Rates: Trade Weighted Dollar Index: Nominal: Broad Dollar Index data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Retail Sales.

Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: Trade Weighted Dollar Index: Nominal: Emerging Market Economies data was reported at 2.007 % in 12 May 2025. This records an increase from the previous number of 1.793 % for 05 May 2025. Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: Trade Weighted Dollar Index: Nominal: Emerging Market Economies data is updated weekly, averaging 0.162 % from Mar 2020 (Median) to 12 May 2025, with 271 observations. The data reached an all-time high of 11.616 % in 17 Jul 2023 and a record low of 0.000 % in 17 Jun 2024. Japan Exports Nowcast: YoY: Contribution: Foreign Exchange Rates: Trade Weighted Dollar Index: Nominal: Emerging Market Economies data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Japan – Table JP.CEIC.NC: CEIC Nowcast: Exports.

Graph and download economic data for Nominal Major Currencies U.S. Dollar Index (Goods Only) (DISCONTINUED) (DTWEXM) from 1973-01-02 to 2019-12-31 about major, trade-weighted, exchange rate, currency, goods, rate, indexes, and USA.

Este conjunto de datos contiene los precios pronosticados del activo US Dollar Index para los próximos 16 años. Estos datos se calculan inicialmente con una tasa de crecimiento anual predeterminada del 5 %, y después de cargar la página, incluyen un componente de escala móvil donde el usuario puede ajustar la tasa de crecimiento según sus propias proyecciones, ya sean positivas o negativas. La tasa máxima de crecimiento ajustable positivo es del 100 %, y la tasa mínima de crecimiento ajustable es del -100 %.