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.

Luxembourg STATEC: Forecast: Foreign Exchange Rate: EUR/USD data was reported at 1.110 EUR/USD in 2021. This records an increase from the previous number of 1.090 EUR/USD for 2020. Luxembourg STATEC: Forecast: Foreign Exchange Rate: EUR/USD data is updated yearly, averaging 1.115 EUR/USD from Dec 2018 (Median) to 2021, with 4 observations. The data reached an all-time high of 1.230 EUR/USD in 2018 and a record low of 1.090 EUR/USD in 2020. Luxembourg STATEC: Forecast: Foreign Exchange Rate: EUR/USD data remains active status in CEIC and is reported by The Portal of Statistics of Luxembourg. The data is categorized under Global Database’s Luxembourg – Table LU.M009: Foreign Exchange Rate: Forecast: The Portal of Statistics of Luxembourg.

The euro-to-dollar exchange rate fluctuated significantly in 2022, reaching its lowest recorded value since 2008 during that time. Figures were different later in the year, however, with a rate of 1.15 USD recorded at the end of November 4, 2025. The average (standardized) measure is based on the calculation of many observations throughout the period in question. It is therefore different from an annual measure at a point, which reflects concrete values as of end of the year.EstablishmentThe euro, which was established in 1992, introduced in non-physical form in 1999 and finally rolled out in 2002, is used by 19 of the 27 member states of the European Union. This group of countries is otherwise known as the eurozone or euro area. By 2018, the total value of euro currency in circulation was almost 1.2 trillion euros, or over 3.4 thousand euros per capita.Euro to USDBetween 2001 and 2008, the average annual exchange rate of the euro to the U.S. dollar noted a steep increase. In 2008, the euro to U.S. dollar annual average exchange rate was equal to 1.47, which meant that one euro could buy 1.47 U.S. dollars. By 2019, this value had decreased overall, to a value of 1.12 which meant that one euro could buy 1.12 U.S. dollars. Similar dynamics in the euro to U.S. dollar exchange rate were also reflected in the monthly exchange rate recently.

Context

Real and up to date stock market exchange of cryptocurrencies can be quite expensive and are hard to get. However, historical financial data are the starting point to develop algorithm(s) to analyze market trend and why not beat the market by predicting market movement.

Content

Data provided in this dataset are historical data from the beginning of EUR-USD pair market on Kraken exchange up to the present (2021 December). This data comes frome real trades on one of the most popular cryptocurrencies exchange.

Trading history

Historical market data, also known as trading history, time and sales or tick data, provides a detailed record of every trade that happens on Kraken exchange, and includes the following information: - Timestamp - The exact date and time of each trade. - Price - The price at which each trade occurred. - Volume - The amount of volume that was traded.

OHLCVT

In addition, OHLCVT data are provided for the most common period interval: 1 min, 5 min, 15 min, 1 hour, 12 hours and 1 day. OHLCVT stands for Open, High, Low, Close, Volume and Trades and represents the following trading information for each time period: - Open - The first traded price - High - The highest traded price - Low - The lowest traded price - Close - The final traded price - Volume - The total volume traded by all trades - Trades - The number of individual trades

Don't hesitate to tell me if you need other period interval 😉 ...

Update

This dataset will be updated every quarter to add new and up to date market trend. Let me know if you need an update more frequently.

Inspiration

Can you beat the market? Let see what you can do with these data!

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

This dataset contains historical Forex (foreign exchange) rates for three major currency pairs: EUR/USD, GBP/USD, and USD/JPY. It includes daily open, high, low, and close prices for each currency pair along with the corresponding date. The dataset has 6 columns, and 4473 rows.

The dataset is ideal for:

Financial analysis and market trend exploration

Forex price prediction using machine learning or deep learning

Time series analysis and forecasting

Algorithmic trading research

Missing or duplicate columns have been cleaned to make the dataset ready for analysis.

Data source: Collected from Yahoo Finance

Columns:

date → Trading date in YYYY-MM-DD format

exchange_type → Currency pair (EUR/USD, GBP/USD, USD/JPY)

open → Opening price of the day

high → Highest price of the day

low → Lowest price of the day

close → Closing price of the day

Luxembourg STATEC Forecast: Foreign Exchange Rate: US Dollar data was reported at 1.180 USD/EUR in 2018. This records an increase from the previous number of 1.130 USD/EUR for 2017. Luxembourg STATEC Forecast: Foreign Exchange Rate: US Dollar data is updated yearly, averaging 1.155 USD/EUR from Dec 2017 (Median) to 2018, with 2 observations. The data reached an all-time high of 1.180 USD/EUR in 2018 and a record low of 1.130 USD/EUR in 2017. Luxembourg STATEC Forecast: Foreign Exchange Rate: US Dollar data remains active status in CEIC and is reported by The Portal of Statistics of Luxembourg. The data is categorized under Global Database’s Luxembourg – Table LU.M009: Foreign Exchange Rate: Forecast: The Portal of Statistics of Luxembourg.

The official currency of Monaco is the Euro. EURO EXCHANGE RATE - EUR/USD - MONACO - values, historical data, forecasts and news - updated on December of 2025.

Content

This dataset contains historical data saved from Oanda Brokerage. The columns represent the Bid and Ask price for every minute / hour. There are also news downloaded form Investing.com. These can be used to forecast the trend of the Forex market with machine learning techniques.

Acknowledgements

The data is downloaded from Quantconnect.com. If they have any concerns, I will remove it instantly.

Inspiration

The reason I am sharing this dataset is because I struggled so much to find good quality data which is large enough to train trading algorithms. Feel free to use this dataset in your kernels.

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.

Snapshot img

Foreign Exchange Market Size 2025-2029

The foreign exchange market size is valued to increase by USD 582 billion, at a CAGR of 10.6% from 2024 to 2029. Growing urbanization and digitalization will drive the foreign exchange market.

Major Market Trends & Insights

Europe dominated the market and accounted for a 47% growth during the forecast period.
By Type - Reporting dealers segment was valued at USD 278.60 billion in 2023
By Trade Finance Instruments - Currency swaps segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 118.14 billion
Market Future Opportunities: USD 582.00 billion
CAGR from 2024 to 2029 : 10.6%

Market Summary

The market, a dynamic and intricate web of financial transactions, plays a pivotal role in facilitating global trade and economic interactions. Its primary function is to enable the conversion of one currency into another, thereby mitigating the risk of currency fluctuations for businesses and investors. Key drivers of this market include growing urbanization and digitalization, which have expanded trading opportunities to a 24x7 global economy. However, the uncertainty of future exchange rates poses a significant challenge, necessitating effective risk management strategies. The market's evolution reflects the increasing interconnectedness of the global economy. Transactions occur in a decentralized, over-the-counter system, with major trading centers in London, New York, and Tokyo.
Participants include commercial banks, investment banks, hedge funds, and individual investors, all seeking to capitalize on price differences between currencies. Trends shaping the market include the increasing use of automation and artificial intelligence to analyze market data and execute trades. Regulatory changes, such as the introduction of stricter capital requirements, also impact the market's functioning. Looking ahead, the market is expected to remain a vital component of the global financial landscape, with continued growth driven by increased trade and economic interdependence. However, challenges, such as regulatory changes and geopolitical risks, will necessitate adaptability and innovation from market participants.

What will be the Size of the Foreign Exchange Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Foreign Exchange Market Segmented ?

The foreign exchange industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Reporting dealers
  Financial institutions
  Non-financial customers


Trade Finance Instruments

  Currency swaps
  Outright forward and FX swaps
  FX options


Trading Platforms

  Electronic Trading
  Over-the-Counter (OTC)
  Mobile Trading


Geography

  North America

    US
    Canada


  Europe

    Germany
    Switzerland
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The reporting dealers segment is estimated to witness significant growth during the forecast period.

The market, a dynamic and ever-evolving financial landscape, is characterized by constant activity and intricate patterns. Participants engage in various trading strategies, employing advanced tools such as stop-loss and take-profit orders on forex trading platforms. Real-time data feeds and order book dynamics facilitate trade execution speed, while market microstructure and slippage minimization techniques ensure efficient transactions. Currency correlation analysis and transaction cost analysis are integral to informed decision-making, with backtesting methodologies providing valuable insights. Currency forwards contracts, position sizing techniques, and forex derivatives pricing are essential components of risk management systems. Carry trade strategies, hedging strategies, and interest rate parity are popular tactics employed by market participants.

Algorithmic trading strategies, driven by options pricing models and trading algorithms' efficiency, significantly influence price discovery mechanisms. High-frequency trading and volatility modeling contribute to the market's liquidity risk management, while foreign exchange swaps and currency option valuation help manage risk. The market's complexities necessitate sophisticated risk management systems and intricate order routing optimization. Global payments systems facilitate the smooth transfer of funds, and liquidity risk management remains a critical concern for market participants. According to recent studies, The market is estimated to account for approximately USD6 trillion in daily trading volume, und

Data set column

1. Date - mm/dd/yyyy
2. SPX - is a free-float weighted measurement stock market index of the 500 largest companies listed on stock exchanges in the United States.
3. GLD - Gold Price
4. USO - United States Oil Fund
5. SLV - Silver Price
6. EUR/USD - currency pair quotation of the Euro against the US

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.

This data is taken from

Symbol: EURUSD Time frame: 1 HOUR Broker: Pepperstone broker, it has 9 features

Independent Variables

• Open Prices(open): The opening prices of the stock for each period.
• High Prices (high): The highest prices of the stock for each period.
• Low Prices (low): The lowest prices of the stock for each period.
• Close Prices (close): The closing prices of the stock for each period.
• Close-Open (close-open): The difference between the closing and opening prices, indicating the price movement during the period.
• High-Low (high-low): The difference between the highest and lowest prices, representing the price range within the period.
• Close-Low (close-low): The difference between the closing and lowest prices.
• Close-High (close-high): The difference between the closing and highest prices.

Target Variable

Signal (signal): A binary signal indicating the market direction:

• Bullish signal (closing price is higher than the opening price).
• Bearish signal (closing price is not higher than the opening price

CopyRates code:

void OnStart()
 {
//---
  
  matrix dataset(bars, 9);
  
  vector open, high, low, close;
  
  open.CopyRates(Symbol(), PERIOD_CURRENT, COPY_RATES_OPEN, 2, bars);
  dataset.Col(open, 0);
  high.CopyRates(Symbol(), PERIOD_CURRENT, COPY_RATES_HIGH, 2, bars);
  dataset.Col(high, 1);
  low.CopyRates(Symbol(), PERIOD_CURRENT, COPY_RATES_LOW, 2, bars);
  dataset.Col(low, 2);
  close.CopyRates(Symbol(), PERIOD_CURRENT, COPY_RATES_CLOSE, 2, bars); 
  dataset.Col(close, 3);
  
  dataset.Col(close-open, 4);
  dataset.Col(high-low, 5);
  dataset.Col(close-low, 6);
  dataset.Col(close-high, 7);
  
//--- Target variables
  
  close.CopyRates(Symbol(), PERIOD_CURRENT, COPY_RATES_CLOSE, 1, bars); //one bar forward
  
  vector signal(bars);
  for (ulong i=0; i

This dataset contains daily financial data from 2015 to 2025, including gold prices and related market indicators. It includes the following fields: date – trading date SPX – S&P 500 index value GLD – gold price ISO – international stock index SLV – silver price EUR/USD – USD exchange rate The dataset can be useful for time-series analysis, forecasting, and studying correlations between gold and global markets.

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

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.

The Euro to Australian exchange rate history reveals a peak in March 2020 before declining well until mid-2022. Exchange rates fluctuate against each other constantly. As of November 4, 2025, the exchange rate was valued at 1.76 Australian dollars per euro. The rate at which one currency performs against another depends on the demand that it generates at any given time. Exchange rates are affected by several factors, including international trade, tourism, and geopolitical tensions.Euro gains strength against the Brexit PoundOne good example of geopolitical risks negatively impacting the strength of a currency is to look at the British Pound post Brexit referendum. The average annual exchange rate of the Euro to GBP increased significantly between 2015 and 2018.The Euro vs. the worldSince 2016, the euro has performed well against various other currencies. The Euro to U.S. dollar had seen its annual average exchange rate increase by 0.07 between 2016 and 2018, after slightly decreasing in 2019. Against the Indian Rupee, the Euro had performed even better, with the average annual exchange rate equaling 78.84 in 2019.

A comprehensive dataset for WTI crude oil price prediction, combining key economic indicators and oil industry metrics from 2005-2024. Features include: - EUR/USD exchange rates - Oil inventory levels - Production volumes - Rig counts - Inflation rates - Technical indicators (rolling averages)

Data sourced from EIA and FRED APIs, processed and engineered for time series forecasting. Ideal for price prediction models and market analysis.

Dataset prepared with proper cleaning and feature engineering.

The euro to Swiss franc exchange rate history suggests the currencies remained nearly unchanged since the summer of 2020. As of November 4, 2025, one euro was 0.93 Swiss francs. Between 2002 and 2007, the average annual exchange rate of the euro to the Swiss franc noted an increase. In 2007, for instance, one euro could buy over 1.6 Swiss francs. By 2021, this value had decreased to a value of roughly 1.1. Nevertheless, this was not the lowest point, as the exchange rate was its lowest in May 2015.