We receive a large flux of several 1000 real-time ticks per second from multiple sources across over 2000 currency pairs. From this raw data, Olsen computes and publishes a fixing every second, which is a reasonably tradable median level Bid and Ask.
We are a neutral data provider and not a broker or trading platform. Our fixing is therefore used by many traders to check their broker prices and minimize execution risk.
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Data collected and formatted by Justin Timperio: "In my exploration of world of big data and I became curious about tick data. Tick data is extremely granular and provides a great challenge for those looking to work on their optimization skills due to its size. Unfortunately, market data is almost always behind a pay wall or de-sampled to the point of uselessness. After discovering the Dukascopy api, I knew I wanted to make this data available for all in a more accessible format." Total Line Count: 8,495,770,706 Total Data Points: 33,983,082,824 Total Decompressed Size: 501 GB
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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?
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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
Download Historical Forex - EURUSD Euro/United States Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
The data is available at tick level with millisecond resolution as well as at regular intervals of 1 Min, 5 Min and so on. Tick data fields can optionally include a 4 letter contributor code to distinguish between different quoters.
Regular interval data is usually supplied as one of these sets: CloseMid CloseBid, CloseAsk OpenMid, HighAsk, LowBid, CloseMid OpenMid, HighMid, LowMid, CloseMid HighAsk, LowBid, CloseBid, CloseAsk HighMid, LowMid, CloseBid, CloseAsk
Field: NumOfTicks in the last interval can also be added if required.
Timestamps are by default in GMT but data can be in any Time Zone requested.
Pricing depends on frequency and number of fields.
100s of papers in finance and economics have been written since 1986 onwards using our data and several reputed banks and hedge funds use our data for back testing and risk management.
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Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Volume Daily Average: 1 Week data was reported at 11,850.000 USD th in Feb 2025. This records a decrease from the previous number of 65,605.263 USD th for Jan 2025. Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Volume Daily Average: 1 Week data is updated monthly, averaging 99,973.532 USD th from Jan 2013 (Median) to Feb 2025, with 146 observations. The data reached an all-time high of 501,037.780 USD th in May 2014 and a record low of 2,125.000 USD th in Nov 2024. Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Volume Daily Average: 1 Week data remains active status in CEIC and is reported by Bank Indonesia. The data is categorized under Indonesia Premium Database’s Monetary – Table ID.KAI019: Financial System Statistics: Money Market Sector.
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Key information about United States Foreign Exchange Reserves
Forex Symbols
Finage offers you more than 1300+ forex data as real-time.
With Finage, you can react to the forex data in Real-Time via WebSocket or unlimited API calls. Also, we offer you a 15-year historical data API.
Commodities Bonds Metals Forex You can view the full FX market coverage with the link given below. https://finage.s3.eu-west-2.amazonaws.com/Finage_FX_Symbol_List.pdf
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Indonesia Forex: Aggregate Transaction: Options: Put data was reported at 13.329 USD mn in 21 Aug 2019. This records an increase from the previous number of 5.641 USD mn for 20 Aug 2019. Indonesia Forex: Aggregate Transaction: Options: Put data is updated daily, averaging 3.059 USD mn from Jan 2017 (Median) to 21 Aug 2019, with 632 observations. The data reached an all-time high of 23.723 USD mn in 03 Apr 2018 and a record low of 0.000 USD mn in 04 Feb 2019. Indonesia Forex: Aggregate Transaction: Options: Put data remains active status in CEIC and is reported by Bank of Indonesia. The data is categorized under Indonesia Premium Database’s Financial Market – Table ID.ZE001: Foreign Exchange Transaction.
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TraditionData’s FX Options Market Data service provides comprehensive information on FX options markets, leveraging the Volbroker platform for transparency and efficiency.
Visit FX Options Market Data for more information.
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Argentina Forex: Spot: Exchange Agencies: United States Dollar data was reported at 1,121.570 USD/ARS in Apr 2025. This records an increase from the previous number of 1,069.030 USD/ARS for Mar 2025. Argentina Forex: Spot: Exchange Agencies: United States Dollar data is updated monthly, averaging 5.795 USD/ARS from Mar 2002 (Median) to Apr 2025, with 278 observations. The data reached an all-time high of 1,121.570 USD/ARS in Apr 2025 and a record low of 2.400 USD/ARS in Mar 2002. Argentina Forex: Spot: Exchange Agencies: United States Dollar data remains active status in CEIC and is reported by Central Bank of Argentina. The data is categorized under Global Database’s Argentina – Table AR.M012: Foreign Exchange Rates.
The Currency Composition ofOfficial Foreign Exchange Reserves(COFER) database is managed by the Statistics Department of the International Monetary Fund (IMF). The COFER website disseminates end-of-period quarterly data on COFER in the format of statistical aggregates. The currencies identified in COFER are: U.S. dollar, Pound sterling, Japanese yen, Swiss francs, Canadian dollar, Australian dollar, and Euro. All other currencies are indistinguishably included in the category of “other currencies.” Prior to the introduction of Euro in 1999,several European currencieswere separately identified in COFER. COFER data are reported to the IMF on a voluntary and confidential basis. COFER data for individual countries are strictly confidential. The data published on this website are aggregates for each currency for three groupings of countries (total,advanced economies, andemerging and developing economies).
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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
<p>RBA Governor Lowe’s Testimony High inflation is damaging and corrosive </p>
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.
Download Historical Forex - EURJPY Euro/Japan Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
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Argentina Forex: Futures: ROFEX: United States Dollar: 1 Month: Traded Volume: All Maturities data was reported at 37,547.000 ARS mn in May 2021. This records a decrease from the previous number of 39,300.000 ARS mn for Apr 2021. Argentina Forex: Futures: ROFEX: United States Dollar: 1 Month: Traded Volume: All Maturities data is updated monthly, averaging 1,009.000 ARS mn from Dec 2002 (Median) to May 2021, with 220 observations. The data reached an all-time high of 75,816.000 ARS mn in Jun 2019 and a record low of 12.000 ARS mn in Dec 2002. Argentina Forex: Futures: ROFEX: United States Dollar: 1 Month: Traded Volume: All Maturities data remains active status in CEIC and is reported by Central Bank of Argentina. The data is categorized under Global Database’s Argentina – Table AR.M012: Foreign Exchange Rates.
Download Historical Forex - EURAUD Euro/Australia Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.
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Foreign Exchange Reserves in the United States increased to 39161 USD Million in August from 38203 USD Million in July of 2025. This dataset provides - United States Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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.FOREX Whois Database, discover comprehensive ownership details, registration dates, and more for .FOREX TLD with Whois Data Center.
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The EUR/USD exchange rate fell to 1.1620 on October 8, 2025, down 0.32% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has weakened 0.70%, but it's up by 6.20% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on October of 2025.
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Czech Republic Forex: CNB: Former EMU Currency: Greek Drachma data was reported at 7.316 100 GRD/CZK in Apr 2025. This records a decrease from the previous number of 7.326 100 GRD/CZK for Mar 2025. Czech Republic Forex: CNB: Former EMU Currency: Greek Drachma data is updated monthly, averaging 8.049 100 GRD/CZK from Jan 1993 (Median) to Apr 2025, with 388 observations. The data reached an all-time high of 13.547 100 GRD/CZK in Jan 1993 and a record low of 6.894 100 GRD/CZK in Mar 2023. Czech Republic Forex: CNB: Former EMU Currency: Greek Drachma data remains active status in CEIC and is reported by Czech National Bank. The data is categorized under Global Database’s Czech Republic – Table CZ.M011: Foreign Exchange Rate.
We receive a large flux of several 1000 real-time ticks per second from multiple sources across over 2000 currency pairs. From this raw data, Olsen computes and publishes a fixing every second, which is a reasonably tradable median level Bid and Ask.
We are a neutral data provider and not a broker or trading platform. Our fixing is therefore used by many traders to check their broker prices and minimize execution risk.