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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.
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This dataset provides values for EXCHANGE RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
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TwitterThis 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; ...).
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TwitterA 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.
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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
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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.
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TwitterThis 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 ...).
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The USD/EGP exchange rate fell to 47.5100 on December 2, 2025, down 0.02% from the previous session. Over the past month, the Egyptian Pound has weakened 0.66%, but it's up by 4.41% over the last 12 months. Egyptian Pound - values, historical data, forecasts and news - updated on December of 2025.
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Graph and download economic data for U.S. Dollars to U.K. Pound Sterling Spot Exchange Rate (DEXUSUK) from 1971-01-04 to 2025-11-28 about United Kingdom, exchange rate, currency, rate, and USA.
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The Daily Forex Exchange Rate Dataset provides historic and up-to-date exchange rates for over 160 currencies. This dataset is updated daily
If you find this dataset valuable, don't forget to hit the upvote button! 😊💝
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Introduction: A Comprehensive Historical Tracking of PKR, INR, and USD Exchange Rates from 1947 to 2024. Delve into Pakistan and India's economic narratives in reference to the US Dollar, witnessing the fluctuations, trends, and pivotal moments that shaped their currencies over eight decades. Gain insights into geopolitical shifts, economic policies, and global events, understanding the intricate dynamics of these currencies in the ever-changing financial landscape.
Background: I'm teaching my students about the difference between the Pakistani Rupee and the Indian Rupee since 1947. We're using the US Dollar as a standard for comparison. I gathered this dataset from various internet sources.
About the data: The dataset is tabular and contains three columns: 1. Year: Ranging from 1947 to 2024. 2. INR (Rs): Indian Rupee value equivalent to 1 US Dollar. 3. PKR (Rs): Pakistani Rupee value equivalent to 1 US Dollar.
Use Cases: here are some use cases for this dataset.
1. Historical Analysis: Researchers or economists could use the dataset to analyze the historical trends and fluctuations in exchange rates between PKR, INR, and USD over the years. This analysis could provide insights into the economic performance and stability of Pakistan and India in relation to the US.
2. Educational Purposes: As you're using it for teaching, the dataset can serve as a valuable educational resource for students to understand the economic differences between Pakistan and India since their independence, using the USD as a benchmark.
3. Investment Analysis: Investors and financial analysts could use the dataset to analyze the historical performance of the currencies and make informed decisions about investments or currency trading in the Pakistan and India markets.
4. Policy Making: Government policymakers could utilize the dataset to understand the impact of various economic policies on currency exchange rates and formulate effective strategies for maintaining stability and growth.
5. Cross-Border Transactions: Businesses engaged in cross-border trade between Pakistan, India, and the US could use the dataset to forecast currency exchange rates and mitigate risks associated with fluctuations in currency values.
6. Comparative Studies: Scholars or analysts interested in comparative studies between Pakistan and India could use the dataset to explore the differences and similarities in their economic development trajectories over time.
7. Forecasting: Economists or analysts could develop models to forecast future exchange rates based on historical trends and factors affecting the economies of Pakistan, India, and the US.
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Graph and download economic data for Exchange Rate to U.S. Dollar for Taiwan (FXRATETWA618NUPN) from 1951 to 2010 about Taiwan, exchange rate, currency, rate, and USA.
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The USD/IDR exchange rate rose to 16,619.9000 on December 2, 2025, up 0.02% from the previous session. Over the past month, the Indonesian Rupiah has strengthened 0.32%, but it's down by 4.18% over the last 12 months. Indonesian Rupiah - values, historical data, forecasts and news - updated on December of 2025.
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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
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Key information about Kenya Exchange Rate against USD
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Graph and download economic data for Canadian Dollars to U.S. Dollar Spot Exchange Rate (AEXCAUS) from 1971 to 2024 about Canada, exchange rate, currency, rate, and USA.
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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.
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Key information about Greece Exchange Rate against USD
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This dataset provides a comprehensive record of the exchange rate between the United States Dollar (USD) and the Iranian Rial (IRR) spanning from November 26, 2011 (Jalali date: 1390/09/05) to March 19, 2024 (Jalali date: 1402/12/29). The data is recorded on a daily timeframe, offering insights into the fluctuations and trends in the exchange rate over this period.
Key Features:
Potential Applications:
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Graph and download economic data for Hong Kong Dollars to U.S. Dollar Spot Exchange Rate (DEXHKUS) from 1981-01-02 to 2025-11-28 about Hong Kong, exchange rate, currency, rate, and USA.
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License information was derived automatically
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.