Prices for EURUSD Euro US Dollar including live quotes, historical charts and news. EURUSD Euro US Dollar was last updated by Trading Economics this September 28 of 2025.

The EUR/USD exchange rate rose to 1.1701 on September 26, 2025, up 0.36% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 0.46%, and is up by 4.82% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on September of 2025.

Prices for USDEUR US Dollar Euro including live quotes, historical charts and news. USDEUR US Dollar Euro was last updated by Trading Economics this September 28 of 2025.

Prices for EURUSD - 汇率 including live quotes, historical charts and news. EURUSD - 汇率 was last updated by Trading Economics this September 22 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 which 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 which 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.

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.

Prices for EURUSC Euro USD Coin including live quotes, historical charts and news. EURUSC Euro USD Coin was last updated by Trading Economics this September 27 of 2025.

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 product delivers synthetic FX tick data that mirrors real-market microstructure while avoiding live-market licensing and data-handling constraints. It’s generated by ALITA Therapeutics’ Zalingo Data Refinery with bias controls (spread, volatility, drift), regime switches, and volume shaping to match your use case (retail brokerage, backtesting, latency-sensitive analytics).

Pairs & cadence Default coverage includes major/selected EM pairs (e.g., EURUSD, GBPUSD, USDJPY, USDZAR, XAUUSD). Cadence ranges from true tick to 1s bars (OHLCV). We can add or remove instruments on request.

Schema (tick mode)

ts (UTC ISO 8601)

symbol (e.g., EURUSD)

bid, ask, mid

spread_pips

last_price (if tradeable), last_size (optional)

volume_est (synthetic depth proxy)

venue_tag (synthetic routing label) Bar mode adds: open, high, low, close, volume.

Quality & controls

Bias-controlled generation: target spread/volatility, jump frequency, seasonality, market sessions.

Regime engine: calm/trending/shock regimes with configurable dwell times.

Drift/sanity checks: auto-bounds and no-arb rules between bid/ask/mid.

Zero PII: no end-user data; fully synthetic series.

Delivery

Real-time: WebSocket + REST (pull/push).

Batch/Bulk: S3 bucket, SFTP, or email for small files.

Formats: CSV, Parquet, JSONL.

Exports: Daily OHLCV or full ticks by symbol/day.

Cloud shares (optional): Snowflake Share, Databricks Delta Share, BigQuery.

Latency & uptime Typical real-time latency < 250 ms inside AWS; 99.9% feed uptime target with queueing + backfill.

Historical backfill Listing includes 12 months of synthetic backfill. We can generate up to 5 years on request to your exact controls.

Use cases Backtesting & model calibration, brokerage UX tests, risk simulations, latency testing, data pipeline QA, training ML/LLMs without licensing risk.

Compliance Fully synthetic; no market data redistribution rights required. Data is non-identifying and created in-house.

Customization Add pairs, change cadence, region routing, venue tags, spread/vol controls, and news-shock scenarios. We can mirror your Match-Trader instruments.

Support Managed SLAs available (monitoring, tuning, pair additions, security updates).

Suitability

Ideal for brokerages, quant funds, fin-techs, and data-science teams needing controllable FX microstructure without live-market licensing. Works for sandbox/UAT, model training, and production feeds where synthetic control is preferred.

Prices for EURUSD - Обменный Курс including live quotes, historical charts and news. EURUSD - Обменный Курс was last updated by Trading Economics this September 14 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 August 15, 2025, the DXY index was around 97.97 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.

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