100+ datasets found
  1. Z

    Forex News Annotated Dataset for Sentiment Analysis

    • data.niaid.nih.gov
    Updated Nov 11, 2023
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    Georgios Fatouros; Kalliopi Kouroumali (2023). Forex News Annotated Dataset for Sentiment Analysis [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7976207
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    Dataset updated
    Nov 11, 2023
    Dataset provided by
    University of Piraeus
    Hellenic Telecommunications Organisation S.A.
    Authors
    Georgios Fatouros; Kalliopi Kouroumali
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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
    

    RBA Governor Lowe’s Testimony High inflation is damaging and corrosive

        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.

  2. T

    Euro US Dollar Exchange Rate - EUR/USD Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Euro US Dollar Exchange Rate - EUR/USD Data [Dataset]. https://tradingeconomics.com/euro-area/currency
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1957 - Dec 2, 2025
    Area covered
    Euro Area
    Description

    The EUR/USD exchange rate rose to 1.1619 on December 2, 2025, up 0.08% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 0.86%, and is up by 10.57% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on December of 2025.

  3. Forex Fundumental News For USD (From 2010 to 2023)

    • kaggle.com
    zip
    Updated Aug 9, 2023
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    Saeid Aghasoleymani Najafabadi (2023). Forex Fundumental News For USD (From 2010 to 2023) [Dataset]. https://www.kaggle.com/saeedaghasoleimani/forex-fundumental-news-for-usd
    Explore at:
    zip(3043 bytes)Available download formats
    Dataset updated
    Aug 9, 2023
    Authors
    Saeid Aghasoleymani Najafabadi
    Description

    This dataset contains the most important fundamental news from forexfactory.com from 2010 with the following features, It can be used to analyze future prices of American Indices, Stocks, Cryptos, FOREX, and Future Markets based on its features.

    If you want to predict prices in financial markets or conduct research in the fundamental news field, this dataset is perfect for you to explore!

    ### Research Ideas

    • Track economic indicators to predict market volatility
    • Develop winning investment strategies based on fundamental news
    • Gain a competitive edge for your business by staying ahead of the latest economic trends
  4. T

    United States Dollar Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). United States Dollar Data [Dataset]. https://tradingeconomics.com/united-states/currency
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 4, 1971 - Dec 2, 2025
    Area covered
    United States
    Description

    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.

  5. d

    Replication Data for: 'Beyond Tradition: A Hybrid Model Unveiling News...

    • search.dataone.org
    Updated Sep 25, 2024
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    The Author (2024). Replication Data for: 'Beyond Tradition: A Hybrid Model Unveiling News Impact on Exchange Rates'. [Dataset]. http://doi.org/10.7910/DVN/0IIZJO
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    Dataset updated
    Sep 25, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    The Author
    Description

    I am hereby sharing the dataset used in the paper titled 'Beyond Tradition: A Hybrid Model Unveiling News Impact on Exchange Rates'. The dataset comprises the following components: Taylor Rule Fundamentals: - Inflation - Industrial production index (as a high-frequency proxy of GDP) - Money market rate spanning from 2000 to 2018. Textual Information: - Economic Policy Uncertainty Index from https://www.policyuncertainty.com/index.html (as of November 9, 2023). - Time series of entropies calculated for U.S. Dollar-related news topics extracted from the Nexis-Uni database. Note: To acquire the textual data from the Nexis-Uni database, we conducted the following steps: We entered "U.S. Dollar" as a keyword in the search for news, resulting in over 15 million non-duplicate news items. Subsequently, we cleaned the news data and selected relevant news items using the following criteria: (i) The U.S. Dollar appears in the title of news items, (ii) The term "U.S. Dollar" is repeated several times in the news, (iii) The first paragraph of the news contains the word "U.S. Dollar", (iv) The news items are automatically selected by the Nexis-Uni database with the U.S. Dollar as the subject. Subsequently, we identified the topics related to the US Dollar from the news using LDA and calculated the Shannon entropies over time for each topic.

  6. EUR/USD Daily Historical Data (2001-2019)

    • kaggle.com
    zip
    Updated Oct 22, 2019
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    Gabriel Vasconcelos (2019). EUR/USD Daily Historical Data (2001-2019) [Dataset]. https://www.kaggle.com/gabrielmv/eurusd-daily-historical-data-20012019
    Explore at:
    zip(53639 bytes)Available download formats
    Dataset updated
    Oct 22, 2019
    Authors
    Gabriel Vasconcelos
    Description

    Dataset

    This dataset was created by Gabriel Vasconcelos

    Contents

  7. M

    Imports USD y/y - economic news from China

    • mql5.com
    csv
    Updated Nov 23, 2025
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    MQL5 Community (2025). Imports USD y/y - economic news from China [Dataset]. https://www.mql5.com/en/economic-calendar/china/imports-usd-yy
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 23, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Nov 7, 2022 - Dec 10, 2024
    Area covered
    China
    Description

    Overview with Chart & Report: China Imports USD y/y reflect a percentage change in the dollar value of goods purchased by residents from non-residents in the reported period compared to the previous period. A buyer in import

  8. Sentiment Analysis of Bitcoin News (2021 - 2024)

    • kaggle.com
    zip
    Updated Sep 18, 2024
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    imadallal (2024). Sentiment Analysis of Bitcoin News (2021 - 2024) [Dataset]. https://www.kaggle.com/datasets/imadallal/sentiment-analysis-of-bitcoin-news-2021-2024
    Explore at:
    zip(794764 bytes)Available download formats
    Dataset updated
    Sep 18, 2024
    Authors
    imadallal
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Sentiment Analysis of Bitcoin-Related News Articles (2021 - 2024)

    This dataset is a forked and extended version of Oliviervha's original dataset on Bitcoin-related news articles. The original dataset covered articles from multiple sources between 2021-10-12 and 2023-12-19. We have extended the dataset by adding additional articles from Binance and Yahoo Finance, expanding the timeline up to 2024-09-12.

    In the original dataset, sentiment analysis for each article was conducted using TextBlob, categorizing the articles as positive, neutral, or negative. To improve sentiment classification accuracy, we replaced TextBlob with a transformer model fine-tuned for financial news.

    Designed for market analysis and trend tracking, the dataset offers valuable insights into how news coverage influences Bitcoin's public perception and market sentiment.

    Sources

    Original Dataset (Oliviervha): Articles from multiple sources covering a range of Bitcoin-related topics from 2021-10-12 to 2023-12-19.
    Binance: News articles directly related to cryptocurrency market trends and updates from the Binance platform.
    Yahoo Finance: Financial news articles covering Bitcoin market fluctuations and broader financial impacts.

    Key Features

    Article Metadata: Descriptions, summarized descriptions, and publication dates of each article.
    Sentiment Score: - Original Dataset: Sentiment analysis was initially performed using TextBlob. - Improved Sentiment Analysis: We improved sentiment classification by replacing TextBlob with the text-classification pipeline using the model "mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis", a transformer model fine-tuned for financial news. - positive: sentiment score > 0
    - neutral: sentiment score = 0
    - negative: sentiment score < 0

    Timeline

    • Original Timeline: From 2021-10-12 to 2023-12-19 (Oliviervha's dataset).
    • Extended Timeline: From 2023-12-20 to 2024-09-12, including additional articles from Binance and Yahoo Finance.

    Github code

    The full preparer code is available here.

    Thank you, Oliviervha, for your amazing dataset! We've extended and improved it, and we appreciate the solid foundation you provided.

  9. N

    News Portal Software Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 6, 2025
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    Archive Market Research (2025). News Portal Software Report [Dataset]. https://www.archivemarketresearch.com/reports/news-portal-software-12821
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the News Portal Software market was valued at USD 107 million in 2024 and is projected to reach USD 156.69 million by 2033, with an expected CAGR of 5.6 % during the forecast period.

  10. T

    DXY Dollar Index - Currency Exchange Rate Live Price Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 28, 2017
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    TRADING ECONOMICS (2017). DXY Dollar Index - Currency Exchange Rate Live Price Chart [Dataset]. https://tradingeconomics.com/dxy:cur
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    May 28, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 2, 2025
    Description

    Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this December 2 of 2025.

  11. T

    United States Money Supply M2

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 16, 2025
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    TRADING ECONOMICS (2025). United States Money Supply M2 [Dataset]. https://tradingeconomics.com/united-states/money-supply-m2
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1959 - Oct 31, 2025
    Area covered
    United States
    Description

    Money Supply M2 in the United States increased to 22298.10 USD Billion in October from 22212.50 USD Billion in September of 2025. This dataset provides - United States Money Supply M2 - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  12. N

    News Apps Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Dec 22, 2024
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    Data Insights Market (2024). News Apps Report [Dataset]. https://www.datainsightsmarket.com/reports/news-apps-1449905
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Dec 22, 2024
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the News Apps market was valued at USD XXX million in 2023 and is projected to reach USD XXX million by 2032, with an expected CAGR of XX% during the forecast period.

  13. S

    Spain Imports: USD: All Services: Telecommunications, Computer, And...

    • ceicdata.com
    Updated May 15, 2018
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    CEICdata.com (2018). Spain Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services [Dataset]. https://www.ceicdata.com/en/spain/trade-in-services-imports-usd-by-services-oecd-member-annual/imports-usd-all-services-telecommunications-computer-and-information-services-information-services-news-agency-services
    Explore at:
    Dataset updated
    May 15, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2023
    Area covered
    Spain
    Description

    Spain Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data was reported at 90.800 USD mn in 2023. This records an increase from the previous number of 70.600 USD mn for 2022. Spain Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data is updated yearly, averaging 70.800 USD mn from Dec 2013 (Median) to 2023, with 11 observations. The data reached an all-time high of 91.800 USD mn in 2019 and a record low of 51.800 USD mn in 2014. Spain Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Spain – Table ES.OECD.TISP: Trade in Services: Imports: USD: by Services: OECD Member: Annual.

  14. L

    Luxembourg LU: Trade Balance: USD: All Services: Telecommunications,...

    • ceicdata.com
    Updated Sep 15, 2025
    + more versions
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    CEICdata.com (2025). Luxembourg LU: Trade Balance: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services [Dataset]. https://www.ceicdata.com/en/luxembourg/trade-in-services-trade-balance-usd-by-services-oecd-member-annual/lu-trade-balance-usd-all-services-telecommunications-computer-and-information-services-information-services-news-agency-services
    Explore at:
    Dataset updated
    Sep 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Luxembourg
    Description

    Luxembourg LU: Trade Balance: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data was reported at -6.500 USD mn in 2023. This records an increase from the previous number of -9.500 USD mn for 2022. Luxembourg LU: Trade Balance: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data is updated yearly, averaging -6.650 USD mn from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of -1.300 USD mn in 2010 and a record low of -10.600 USD mn in 2014. Luxembourg LU: Trade Balance: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.TISP: Trade in Services: Trade Balance: USD: by Services: OECD Member: Annual.

  15. L

    Luxembourg LU: Exports: USD: All Services: Telecommunications, Computer, And...

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Luxembourg LU: Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services [Dataset]. https://www.ceicdata.com/en/luxembourg/trade-in-services-exports-usd-by-services-oecd-member-annual/lu-exports-usd-all-services-telecommunications-computer-and-information-services-information-services-news-agency-services
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Luxembourg
    Description

    Luxembourg LU: Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data was reported at 9.700 USD mn in 2023. This records an increase from the previous number of 4.200 USD mn for 2022. Luxembourg LU: Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data is updated yearly, averaging 1.300 USD mn from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 9.700 USD mn in 2023 and a record low of 1.100 USD mn in 2019. Luxembourg LU: Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.TISP: Trade in Services: Exports: USD: by Services: OECD Member: Annual.

  16. S

    Spain Exports: USD: All Services: Telecommunications, Computer, And...

    • ceicdata.com
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    CEICdata.com, Spain Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services [Dataset]. https://www.ceicdata.com/en/spain/trade-in-services-exports-usd-by-services-oecd-member-annual/exports-usd-all-services-telecommunications-computer-and-information-services-information-services-news-agency-services
    Explore at:
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2014 - Dec 1, 2023
    Area covered
    Spain
    Description

    Spain Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data was reported at 8.700 USD mn in 2023. This records a decrease from the previous number of 15.800 USD mn for 2022. Spain Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data is updated yearly, averaging 13.700 USD mn from Dec 2014 (Median) to 2023, with 10 observations. The data reached an all-time high of 19.900 USD mn in 2014 and a record low of 6.900 USD mn in 2020. Spain Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Spain – Table ES.OECD.TISP: Trade in Services: Exports: USD: by Services: OECD Member: Annual.

  17. N

    Netherlands NL: Exports: USD: All Services: Telecommunications, Computer,...

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Netherlands NL: Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services [Dataset]. https://www.ceicdata.com/en/netherlands/trade-in-services-exports-usd-by-services-oecd-member-annual/nl-exports-usd-all-services-telecommunications-computer-and-information-services-information-services-news-agency-services
    Explore at:
    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2014 - Dec 1, 2023
    Area covered
    Netherlands
    Description

    Netherlands NL: Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data was reported at 2.800 USD mn in 2023. This records a decrease from the previous number of 5.100 USD mn for 2022. Netherlands NL: Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data is updated yearly, averaging 0.400 USD mn from Dec 2014 (Median) to 2023, with 9 observations. The data reached an all-time high of 7.200 USD mn in 2021 and a record low of 0.100 USD mn in 2017. Netherlands NL: Exports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Netherlands – Table NL.OECD.TISP: Trade in Services: Exports: USD: by Services: OECD Member: Annual.

  18. L

    Luxembourg LU: Imports: USD: All Services: Telecommunications, Computer, And...

    • ceicdata.com
    Updated Dec 15, 2024
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    CEICdata.com (2024). Luxembourg LU: Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services [Dataset]. https://www.ceicdata.com/en/luxembourg/trade-in-services-imports-usd-by-services-oecd-member-annual/lu-imports-usd-all-services-telecommunications-computer-and-information-services-information-services-news-agency-services
    Explore at:
    Dataset updated
    Dec 15, 2024
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    Luxembourg
    Description

    Luxembourg LU: Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data was reported at 16.200 USD mn in 2023. This records an increase from the previous number of 13.700 USD mn for 2022. Luxembourg LU: Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data is updated yearly, averaging 8.850 USD mn from Dec 2010 (Median) to 2023, with 14 observations. The data reached an all-time high of 16.200 USD mn in 2023 and a record low of 4.000 USD mn in 2010. Luxembourg LU: Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Luxembourg – Table LU.OECD.TISP: Trade in Services: Imports: USD: by Services: OECD Member: Annual.

  19. N

    Netherlands NL: Imports: USD: All Services: Telecommunications, Computer,...

    • ceicdata.com
    Updated Feb 7, 2021
    + more versions
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    CEICdata.com (2021). Netherlands NL: Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services [Dataset]. https://www.ceicdata.com/en/netherlands/trade-in-services-imports-usd-by-services-oecd-member-annual/nl-imports-usd-all-services-telecommunications-computer-and-information-services-information-services-news-agency-services
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    Dataset updated
    Feb 7, 2021
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2014 - Dec 1, 2023
    Area covered
    Netherlands
    Description

    Netherlands NL: Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data was reported at 21.800 USD mn in 2023. This records a decrease from the previous number of 26.900 USD mn for 2022. Netherlands NL: Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data is updated yearly, averaging 22.150 USD mn from Dec 2014 (Median) to 2023, with 10 observations. The data reached an all-time high of 31.800 USD mn in 2020 and a record low of 14.500 USD mn in 2016. Netherlands NL: Imports: USD: All Services: Telecommunications, Computer, And Information Services: Information Services: News Agency Services data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Netherlands – Table NL.OECD.TISP: Trade in Services: Imports: USD: by Services: OECD Member: Annual.

  20. N

    News Aggregator Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 16, 2025
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    Archive Market Research (2025). News Aggregator Report [Dataset]. https://www.archivemarketresearch.com/reports/news-aggregator-30665
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Feb 16, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The size of the News Aggregator market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX % during the forecast period.

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Georgios Fatouros; Kalliopi Kouroumali (2023). Forex News Annotated Dataset for Sentiment Analysis [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7976207

Forex News Annotated Dataset for Sentiment Analysis

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Dataset updated
Nov 11, 2023
Dataset provided by
University of Piraeus
Hellenic Telecommunications Organisation S.A.
Authors
Georgios Fatouros; Kalliopi Kouroumali
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

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

RBA Governor Lowe’s Testimony High inflation is damaging and corrosive

    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.

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