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

Download Historical Forex - EURUSD Euro/United States Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

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.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

What is forex trading?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Download Historical Forex - USDHUF Hungary (Forint) Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

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Foreign Exchange Market Size 2025-2029

The foreign exchange market size is forecast to increase by USD 582 billion, at a CAGR of 10.6% between 2024 and 2029.

Major Market Trends & Insights

Europe dominated the market and accounted for a 47% growth during the forecast period.
By the Type - Reporting dealers segment was valued at USD 278.60 billion in 2023
By the 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 : 10.6%
Europe: Largest market in 2023

Market Summary

The Foreign Exchange (Forex) market, a global financial platform for exchanging one currency for another, is a dynamic and continuously evolving ecosystem. According to the Bank for International Settlements, daily trading volumes reached approximately USD6 trillion in April 2020, representing a significant portion of the world's financial transactions. This market's importance is underscored by its role in facilitating international trade, investment, and tourism. The Forex market's decentralized nature allows for 24/7 trading opportunities, making it an attractive proposition for businesses and investors seeking to manage currency risk or capitalize on price fluctuations. Despite the market's complexity, advanced technologies, such as machine learning and artificial intelligence, are increasingly being adopted to enhance trading strategies and improve risk management.
One significant trend is the increasing use of money transfer agencies, venture capital investments, and mutual funds in foreign exchange transactions. These tools enable real-time analysis of market trends and help forecast exchange rates, providing valuable insights for businesses operating in multiple currencies. The Forex market's influence extends beyond traditional financial sectors, with applications in various industries, including tourism, import/export, and international business. As businesses expand their global footprint and economies continue to interconnect, the role and significance of the Forex market are set to grow further.

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

Explore market size, adoption trends, and growth potential for foreign exchange market Request Free Sample

The market, a vital component of the global financial system, operates without fail, facilitating the conversion of one currency into another. According to recent data, approximately 6% of daily global trading volume is attributed to this market. Looking ahead, growth is projected to reach over 5% annually. Consider the following comparison: the average daily trading volume in the forex market exceeds that of the New York Stock Exchange by a significant margin. In 2020, the former recorded around USD 6 trillion, while the latter saw approximately USD 136 billion. This disparity underscores the market's immense scale and influence.
Moreover, the forex market's liquidity depth enables efficient price discovery, minimizing transaction security concerns and market impact costs. Automated trading bots and order book depth analysis are essential tools for market participants, allowing for effective backtesting strategies and fraud detection systems. Leverage ratios, transaction fees, and margin requirements are essential factors influencing market accessibility and profitability. High-frequency trading and the presence of liquidity providers contribute to market efficiency and statistical arbitrage opportunities. Regulatory compliance and brokerage services further ensure a secure trading environment. Despite payment processing fees and order flow imbalance, risk tolerance levels remain a crucial consideration for participants.

How is this Foreign Exchange Industry 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 is a dynamic and intricate financial ecosystem where businesses and investors transact in various currencies to manage internationa

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

Price tick data for the most liquid Forex assets (AUDUSD, EURCAD, EURCHF, EURUSD, GBPUSD, USDJPY). The period covered 09 March 2020 to 07, September 2022.

HistData FX 1m

This is an export in the parquet format of the histdata.com dataset, which contains mostly Forex market tickers data. For each symbol, 2 files are provided:

ticks.parquet contains the ticker (ohlc) data gaps.parquet contains the reported time gaps

The timestamps are converted from the original EST timezone to UTC.

  Ticks

The ticks.parquet files have the following schema: { 'ts': pl.Datetime, 'open': pl.Float64, 'high': pl.Float64, 'low':… See the full description on the dataset page: https://huggingface.co/datasets/elthariel/histdata_fx_1m.

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.

Indonesia Forex: Aggregate Transaction: Options: Call data was reported at 13.744 USD mn in 21 Aug 2019. This records an increase from the previous number of 5.494 USD mn for 20 Aug 2019. Indonesia Forex: Aggregate Transaction: Options: Call data is updated daily, averaging 3.385 USD mn from Jan 2017 (Median) to 21 Aug 2019, with 632 observations. The data reached an all-time high of 33.828 USD mn in 13 Sep 2017 and a record low of 0.000 USD mn in 06 Dec 2017. Indonesia Forex: Aggregate Transaction: Options: Call 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.

Tick (Bids | Asks | Trades | Settle) sample data for Forex - EURCHF Euro/Switzerland IEURCHF timestamped in Chicago time

Intraday 1 minute sample data for Forex - EURCHF Euro/Switzerland IEURCHF timestamped in Chicago time

Key information about United States Foreign Exchange Reserves

• United States Foreign Exchange Reserves was measured at 35.2 USD bn in Jan 2025, compared with 34.9 USD bn in the previous month
• US Foreign Exchange Reserves: USD mn data is updated monthly, available from Mar 1961 to Jan 2025
• The data reached an all-time high of 54.9 USD bn in Aug 2011 and a record low of 2.0 USD mn in Jul 1975

• In the latest reports, US Foreign Exchange Reserves equaled 0.1 Months of Import in Jan 2025.
• Its Money Supply M2 increased 21,561.4 USD bn YoY in Jan 2025.
• US Domestic Credit reached 30,648.3 USD bn in Mar 2024, representing an drop of 0.3 % YoY.
• The country's Non Performing Loans Ratio stood at 1.7 % in Dec 2024, compared with the ratio of 1.5 % in the previous quarter.
• Household Debt of US reached 61.7 % in Dec 2024, accounting for 61.7 % of the country's Nominal GDP.

Download Historical Forex - CHFJPY Switzerland/Japan Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

The EUR/USD exchange rate rose to 1.1726 on September 11, 2025, up 0.19% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 0.41%, and is up by 5.84% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on September of 2025.

Download Historical Forex - USDTWD Taiwan (Dollar) Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

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.

Foreign Exchange Reserves in the United States decreased to 38203 USD Million in July from 39471 USD Million in June of 2025. This dataset provides - United States Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Foreign Exchange Reserves in China increased to 3322000 USD Million in August from 3292000 USD Million in July of 2025. This dataset provides - China Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.