The Global Currency Historical Prices Dataset provides a comprehensive collection of historical data for multiple currencies from around the world. This dataset includes daily open, high, low, and closing prices for each currency. The dataset is updated regularly to include the latest available data.

The dataset includes historical data for a variety of currencies, such as the US dollar, the Euro, the Japanese yen, the British pound, the Canadian dollar, the Swiss franc, the Australian dollar, and many others. This dataset covers a broad range of currencies and includes data from various countries, making it a valuable resource for anyone interested in analyzing global currency trends and patterns.

The data is provided in a user-friendly format, making it easy to download and use. The dataset includes data on currency prices for each day, as well as additional data such as currency exchange rates and volume data. The data is presented in a CSV format, making it compatible with most data analysis and machine learning tools.

This dataset is ideal for researchers, financial analysts, traders, and anyone interested in studying the historical trends and patterns of global currency prices. It can be used for a variety of purposes, such as developing trading strategies, backtesting models, and creating machine learning models for predicting future currency prices.

Overall, the Global Currencies Historical Prices Dataset is a valuable resource for anyone looking to analyze the historical trends and patterns of global currency prices. It provides comprehensive data on multiple currencies from various countries, making it an excellent tool for financial analysis and research.

This dataset was generated by parsing PDFs released by the US Treasury for foreign exchange. An edited version (quarterly-edited.csv) includes fixes for typos in the Treasury data.

Usage caveats from the documentation:

"Exceptions to using the reporting rates as shown in the report are: * collections and refunds to be valued at specified rates set by international agreements, * conversions of one foreign currency into another, * foreign currencies sold for dollars, and * other types of transactions affecting dollar appropriations. (See Volume I Treasury Financial Manual 2-3200 for further details.)

Since the exchange rates in this report are not current rates of exchange, they should not be used to value transactions affecting dollar appropriations."

Additional caveats:

This unified dataset should be used only for reference or ballpark estimation, and not for anything like automated valuation. The reason is because there's still a lot of messiness involving countries and changing units- when in doubt or if required, please do additional research to confirm the historical rates are indeed as stated.

Future plans:

• Clean this up so that it can indeed be used in an automated system for converting currencies
• Fill in the missing entries
• Standardize country names and currency names

Documentation

Source

The USD/BRL exchange rate fell to 5.3270 on December 2, 2025, down 0.55% from the previous session. Over the past month, the Brazilian Real has strengthened 0.57%, and is up by 11.87% over the last 12 months. Brazilian Real - values, historical data, forecasts and news - updated on December of 2025.

This dataset offers a comprehensive view of daily currency exchange rates, from 2008 to 2023. Currency rates can be affected by various factors, including interest rates, inflation, political instability, economic performance, and global market developments. Understanding these rates over time can provide valuable insights into economic trends, market behaviors, and the impacts of global events on currency values.

The currency pairs included in this dataset are: USD to INR (INR=X) USD to JPY (JPY=X) USD to EUR (EUR=X) USD to GBP (GBP=X) USD to AUD (AUD=X) USD to CAD (CAD=X) USD to CHF (CHF=X) USD to CNY (CNY=X) USD to HKD (HKD=X) USD to SGD (SGD=X)

Each row in the dataset represents a single day and includes the following columns:

Ticker: The currency pair being represented. Date: The date in YYYY-MM-DD format. Open: The opening exchange rate of the day. High: The highest exchange rate of the day. Low: The lowest exchange rate of the day. Close: The closing exchange rate of the day. Adj Close: The adjusted closing exchange rate of the day. Volume: The volume of the currency traded on that day.

Usage: This dataset could be useful for a variety of purposes, including but not limited to:

Economic research: Analyze currency trends over time to understand economic behaviors. Financial modeling: Use historical data to forecast future currency rates. Machine learning: Develop predictive models for currency exchange rates. Teaching: An excellent resource for educators in finance and economics.

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.

This dataset contains monthly exchange rate data for four major global currencies: United States Dollar (USD), British Pound (GBP), Canadian Dollar (CAD), and Australian Dollar (AUD). The data spans multiple years, starting from January 1999, and is recorded on a monthly basis. It is structured in CSV format with five columns: Date, USD_Price, GBP_Price, CAD_Price, and AUD_Price. The Date column represents the timestamp of the recorded exchange rate in the YYYY-MM-DD format, while the remaining columns represent the exchange rates for their respective currencies.

This dataset can be used for various financial and economic analyses, including identifying long-term trends, studying fluctuations in exchange rates, and understanding periods of stability and volatility. It is particularly useful for researchers and analysts looking to examine historical currency trends and assess the factors influencing foreign exchange markets.

Financial professionals can leverage this data to build predictive models and apply machine learning techniques to estimate future exchange rates. By analyzing past trends, it is possible to gain insights into potential market movements and develop strategies for risk management and investment decision-making.

Economists can use the dataset to examine the impact of global economic events on currency values and study correlations between exchange rates and macroeconomic indicators such as inflation, interest rates, and trade balances. This can provide a deeper understanding of how economic policies and external shocks affect currency markets over time.

Additionally, the dataset is valuable for comparing currency movements with stock markets, commodity prices, and international trade patterns. It enables researchers to analyze how different currencies react to financial crises, policy changes, and economic shifts. By offering a comprehensive view of historical exchange rate fluctuations, this dataset serves as a foundation for financial forecasting, economic research, and market correlation studies.

A graphic that displays the dollar performance against other currencies reveals that economic developments had mixed results on currency exchanges. The third quarter of 2023 marked a period of disinflation in the euro area, while China's projected growth was projected to go up. The United States economy was said to have a relatively strong performance in Q3 2023, although growing capital market interest rate and the resumption of student loan repayments might dampen this growth at the end of 2023. A relatively weak Japanese yen Q3 2023 saw pressure from investors towards Japanese authorities on how they would respond to the situation surrounding the Japanese yen. The USD/JPY rate was close to ***, whereas analysts suspected it should be around ** given the country's purchase power parity. The main reason for this disparity is said to be the differences in central bank interest rates between the United States, the euro area, and Japan. Any future aggressive changes from, especially the U.S. Fed might lower those differences. Financial markets responded somewhat disappoint when Japan did not announce major plans to tackle the situation. Potential rent decreases in 2024 Central bank rates peak in 2023, although it is expected that some of these will decline in early 2024. That said, analysts expect overall policies will remain restrictive. For example, the Bank of England's interest rate remained unchanged at **** percent in Q3 2023. It is believed the United Kingdom's central bank will ease its interest rate in 2024 but less than either the U.S. Fed or the European Central Bank. This should be a positive development for the pound compared to either the euro or the dollar.

One United States dollar was worth over ********* Indonesian rupiah in September 2025, the highest value in a comparison of over 50 different currencies worldwide. All countries and territories shown here are based on the Big Mac Index - a measurement of how much a single Big Mac is worth across different areas in the world. This exchange rate comparison reveals a strong position of the dollar in Asia and Latin America. Note, though, that several of the top currencies shown here do not rank among the most traded. The quarterly U.S. dollar exchange rate against the ten biggest forex currencies only contains the Korean won and the Japanese yen.

This table contains 27 series, with data starting from 1981 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (1 item: Canada) Type of currency (27 items: Australian dollar, monthly average; Brazilian real, monthly average; Chinese renminbi, monthly average; European euro, monthly average; ...).

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

Graph and download economic data for Canadian Dollars to U.S. Dollar Spot Exchange Rate (DEXCAUS) from 1971-01-04 to 2025-11-28 about Canada, exchange rate, currency, rate, and USA.

EUR/USD Historical Data (2000–2025)

This dataset provides historical exchange rate data for the EUR/USD (Euro to US Dollar) currency pair. It includes daily price movements, opening and closing prices, highs and lows, and percentage changes over time. The dataset can be useful for financial analysis, time series forecasting, and algorithmic trading.

Dataset Overview :

Time Period: Covers multiple years, up to February 2025. Frequency: Daily data. Source: Collected from historical market records. Format: CSV file with 11,284 rows and 7 columns.

Columns Description:

Date (string) – The date of the recorded exchange rate (Format: DD-MM-YYYY). Price (float64) – The closing price of the EUR/USD currency pair for that day. Open (float64) – The opening price of EUR/USD for that day. High (float64) – The highest price reached during that day. Low (float64) – The lowest price recorded during that day. Vol. (float64, but all values are NaN) – Trading volume (not available in this dataset). Change % (string) – Percentage change in price from the previous day.

Possible Uses of This Dataset

Time Series Forecasting: Train machine learning models to predict future EUR/USD exchange rates. Algorithmic Trading Strategies: Backtest trading algorithms based on historical price trends. Volatility Analysis: Identify periods of high volatility and economic impact on currency movements. Financial Research: Study how external factors affect exchange rate fluctuations.

Data Notes

The Volume (Vol.) column is empty, meaning trading volume data is unavailable. The Change % column is stored as a string with a percentage sign (e.g., "-0.22%"). This may require conversion to a numeric format for analysis.

The USD/TRY exchange rate rose to 42.4368 on December 2, 2025, up 0.12% from the previous session. Over the past month, the Turkish Lira has weakened 0.91%, and is down by 22.27% over the last 12 months. Turkish Lira - values, historical data, forecasts and news - updated on December of 2025.

The currency chart for the USA shows historical data for the U.S. Dollars per USD exchange rate. These are monthly averages and not end-of-month currency values. An increase means depreciation against the USD as one can exchange more U.S. Dollars per USD. Depreciation implies that goods from the...

This table contains 45 series, with data for years 1950 - 2015 (not all combinations necessarily have data for all years), and was last released on 2016-01-05. This table contains data described by the following dimensions (Not all combinations are available): Geography (1 items: Canada ...), Type of currency (45 items: United States dollar; noon spot rate; average; Danish krone; noon spot rate; average; French franc; noon spot rate; average; Belgian franc; noon spot rate; average ...).

The USD/CNY exchange rate fell to 7.0696 on December 2, 2025, down 0.05% from the previous session. Over the past month, the Chinese Yuan has strengthened 0.81%, and is up by 3.15% over the last 12 months. Chinese Yuan - values, historical data, forecasts and news - updated on December of 2025.

Graph and download economic data for Malaysian Ringgit to U.S. Dollar Spot Exchange Rate (DEXMAUS) from 1971-01-04 to 2025-11-28 about Malaysia, exchange rate, currency, rate, and USA.

Graph and download economic data for Thai Baht to U.S. Dollar Spot Exchange Rate (EXTHUS) from Jan 1981 to Oct 2025 about Thailand, exchange rate, currency, rate, and USA.

Graph and download economic data for Swiss Francs to U.S. Dollar Spot Exchange Rate (EXSZUS) from Jan 1971 to Oct 2025 about Switzerland, exchange rate, currency, rate, and USA.

Value of Currency in Circulation: Total - Historical chart and current data through 2024.