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

The EUR/USD exchange rate rose to 1.1619 on December 2, 2025, up 0.08% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 0.86%, and is up by 10.57% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on December of 2025.

Daily open, high, low, close and mid EUR/USD rates with monthly and yearly summaries.

This dataset contains 927 cleaned records of Forex market data for three currency pairs: EUR/USD, GBP/USD, and USD/JPY. It includes both raw market prices and computed technical indicators, making it ideal for algorithmic trading research, quantitative analysis, and machine learning applications in finance.

The data was originally collected via a live Forex data pipeline pulling from Twelve Data API and enriched with:

Exponential Moving Averages (EMA 10 & EMA 50)

Relative Strength Index (RSI) and RSI Category

Average True Range (ATR)

Support & Resistance Levels

Price Change calculations

This cleaned version removes incomplete rows and ensures proper formatting for analysis.

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

Daily EUR to USD open, high, low, close and mid rates for the calendar year 2024.

Prices for EURUSD - 汇率 including live quotes, historical charts and news. EURUSD - 汇率 was last updated by Trading Economics this November 21 of 2025.

A ranked comparison of EUR to USD all-in rates, fees and delivered amounts for common transfer amounts.

Prices for EURUSD - Обменный Курс including live quotes, historical charts and news. EURUSD - Обменный Курс was last updated by Trading Economics this October 31 of 2025.

Forex daily volume was nearly ***** billion U.S. dollars for the USD currency, an amount ***** times higher than for the euro (EUR). The forex - or foreign exchange market - turnover per day is a figure that is not often measured, only once every three years. No figures are available for 2020, for instance. What figures are available, however, indicate that the USD currency far outweighs that of many other currencies all over the world. What is the forex market? The forex market is based on the fluctuations in the value of currency interest rates. For example, the U.S. dollar performs differently against other major currencies. If one can properly predict these fluctuations, they can buy a weaker currency with a stronger one. After the currencies rebalance, the original currency will be worth more in terms of the exchange rate, giving the investor a profit. There are many foreign exchange trading services, including many multinational banks that already work in multiple currencies. Other currency trading functions Countries and central banks typically hold foreign currencies. These international reserves help facilitate the transactions in international trade, which is one reason China’s foreign reserves are so high. Countries can buy and sell foreign currencies to maintain a particular exchange rate. This is necessary for currencies that are pegged to another currency, such as the U.S. dollar. However, some countries are accused of exchange rate manipulation to make their exports seem more attractive. Finally, certain currencies are considered safer. Citizens and firms in a country with an unstable currency will buy these currencies to avoid volatility, or even hyperinflation, in their home currency.

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 >>

This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.

To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.

We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.

Examples of Annotated Headlines


    Forex Pair
    Headline
    Sentiment
    Explanation




    GBPUSD 
    Diminishing bets for a move to 12400 
    Neutral
    Lack of strong sentiment in either direction


    GBPUSD 
    No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft 
    Positive
    Positive sentiment towards GBPUSD (Cable) in the near term


    GBPUSD 
    When are the UK jobs and how could they affect GBPUSD 
    Neutral
    Poses a question and does not express a clear sentiment


    JPYUSD
    Appropriate to continue monetary easing to achieve 2% inflation target with wage growth 
    Positive
    Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply


    USDJPY
    Dollar rebounds despite US data. Yen gains amid lower yields 
    Neutral
    Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other


    USDJPY
    USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains 
    Negative
    USDJPY is expected to reach a lower value, with the USD losing value against the JPY


    AUDUSD

RBA Governor Lowe’s Testimony High inflation is damaging and corrosive

    Positive
    Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD.

Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.

Dataset Description: Spotware Demo Account OHLC and Volume Data

Origin

• Source: This dataset is generated from a demo account on the Spotware cTrader trading platform, a widely used trading platform for forex and CFD (Contracts for Difference) trading.
• Environment: Data comes from a Spotware Demo Account, which allows traders to practice their trading strategies under simulated market conditions without using real capital. The demo environment mimics live market data, including bid/ask spreads, order book depth, and real-time price movements, but there may be slight delays or differences compared to actual live trading accounts.

Content

• Data type: The dataset contains OHLC (Open, High, Low, Close) price data along with volume data for a particular financial instrument (ticker).
• Timeframe: The data is collected at a specific timeframe (e.g., 1-minute, 5-minute, or hourly intervals) depending on the cTrader chart settings at the time of data extraction.
• Ticker: The financial instrument represented by the ticker symbol (e.g., EURUSD for the Euro to US Dollar currency pair, or other forex pairs, indices, or commodities). The exact symbol depends on the selected asset in the demo environment.

Data Columns

1. Time: The exact timestamp when the price bar was formed, representing the close time for the respective OHLC data.
2. Open: The price at which the market opened for the given timeframe.
3. High: The highest price the instrument reached during the selected timeframe.
4. Low: The lowest price the instrument traded at during the selected timeframe.
5. Close: The closing price at the end of the given timeframe.
6. Volume: The total volume of trades executed during that timeframe, typically measured in the number of ticks (price changes) since Spotware's demo environment typically provides tick-based volume.

Dataset Features

• Historical data: Contains historical OHLC price points for each timeframe as well as the associated tick volume.
• Simulated market conditions: Since this is a demo account dataset, it reflects simulated market conditions. The pricing data is sourced from real-time market feeds but without actual financial risk involved.
• No slippage or execution delays: In demo environments, there are generally no slippages or delays in order execution that may occur in live accounts, thus providing idealized trading data.

Use Cases

This dataset is highly valuable for: - Backtesting trading strategies: It can be used to test algorithmic trading strategies or discretionary trading methods by replaying historical price action. - Technical analysis: The OHLC data can be used to calculate various technical indicators (moving averages, RSI, MACD, etc.) and patterns (head and shoulders, double tops, etc.) to analyze potential market trends or reversals. - Machine learning models: The dataset provides essential inputs for training machine learning models or reinforcement learning agents aimed at predicting future price movements or optimizing trading strategies.

Considerations

• Demo vs. Live data: While the dataset simulates live market conditions, users should be aware that real market conditions may differ due to factors like liquidity, slippage, or order execution time.
• Tick-based volume: The volume column reflects the number of price ticks (changes) rather than the actual trade size, which is typical in forex and CFD demo environments.

The official currency of Netherlands is the Euro. Euro Exchange Rate - EUR/USD - Netherlands - values, historical data, forecasts and news - updated on December of 2025.

Prices for EURUSD - Kurs Wymiany including live quotes, historical charts and news. EURUSD - Kurs Wymiany was last updated by Trading Economics this November 30 of 2025.

All-time high price data for Fetch.ai, including the peak value, date achieved, and current comparison metrics.

Fetch.ai price data for 2025-11-18 including currency, value, high, low, open, close, and percentage difference.

Prices for EURUSD - Tasso Di Cambio including live quotes, historical charts and news. EURUSD - Tasso Di Cambio was last updated by Trading Economics this November 23 of 2025.

Prices for EURUSD - Taxa De Câmbio including live quotes, historical charts and news. EURUSD - Taxa De Câmbio was last updated by Trading Economics this November 15 of 2025.

The official currency of Germany is the Euro. Euro Exchange Rate - EUR/USD - Germany - values, historical data, forecasts and news - updated on December of 2025.