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

Forex Symbols

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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

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

This data was collected from Meta Trader 5 trading platform, The broker was Pepperstone

The features in the dataset was engineered for time series forecasting as it can be seen in this notebook

The timeframe was DAILY

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.

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.

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.

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

Dataset

This dataset was created by Mohammad Abbas Shareef

Contents

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.

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).

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.

Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Volume Daily Average: 1 Month data was reported at 340,350.000 USD th in Feb 2025. This records an increase from the previous number of 67,105.263 USD th for Jan 2025. Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Volume Daily Average: 1 Month data is updated monthly, averaging 61,009.500 USD th from Jan 2013 (Median) to Feb 2025, with 146 observations. The data reached an all-time high of 405,833.333 USD th in Feb 2024 and a record low of 14,262.625 USD th in Jun 2017. Money Market: Forex: Overseas Interbank (In USD Currency): Transaction Volume Daily Average: 1 Month 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.

Foreign Exchange Reserves in the United States decreased to 38470 USD Million in May from 38565 USD Million in April of 2025. This dataset provides - United States Foreign Exchange Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Download Historical Forex - USDCNH China (Yuan) Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

The EUR/USD exchange rate rose to 1.1590 on August 1, 2025, up 1.48% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has weakened 1.76%, but it's up by 6.24% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on August of 2025.

Download Historical Forex - USDPLZ Poland (Zloty) Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Download Historical Forex - USDCLP Chile (Peso) Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Download Historical Forex - EURAUD Euro/Australia Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.

Download Historical Forex - NZDCHF New Zealand/Switzerland Forex Data. CQG daily, 1 minute, tick, and level 1 data from 1899.