100+ datasets found
  1. Forex News Annotated Dataset for Sentiment Analysis

    • zenodo.org
    • paperswithcode.com
    • +1more
    csv
    Updated Nov 11, 2023
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    Georgios Fatouros; Georgios Fatouros; Kalliopi Kouroumali; Kalliopi Kouroumali (2023). Forex News Annotated Dataset for Sentiment Analysis [Dataset]. http://doi.org/10.5281/zenodo.7976208
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    csvAvailable download formats
    Dataset updated
    Nov 11, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Georgios Fatouros; Georgios Fatouros; Kalliopi Kouroumali; 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
    
        <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.

  2. F

    S&P 500

    • fred.stlouisfed.org
    • you.radio.fm
    json
    Updated Mar 26, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
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    jsonAvailable download formats
    Dataset updated
    Mar 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  3. C

    China CN: Local Government Bond: Issuance: Free Trade Zone Market: Shandong:...

    • ceicdata.com
    Updated Apr 28, 2022
    + more versions
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    CEICdata.com (2022). China CN: Local Government Bond: Issuance: Free Trade Zone Market: Shandong: Qingdao [Dataset]. https://www.ceicdata.com/en/china/local-government-bond-issuance-market-by-region-annually/cn-local-government-bond-issuance-free-trade-zone-market-shandong-qingdao
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    Dataset updated
    Apr 28, 2022
    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, 2015 - Dec 1, 2023
    Area covered
    China
    Description

    Local Government Bond: Issuance: Free Trade Zone Market: Shandong: Qingdao data was reported at 0.000 RMB mn in 2023. This stayed constant from the previous number of 0.000 RMB mn for 2022. Local Government Bond: Issuance: Free Trade Zone Market: Shandong: Qingdao data is updated yearly, averaging 0.000 RMB mn from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 0.000 RMB mn in 2023 and a record low of 0.000 RMB mn in 2023. Local Government Bond: Issuance: Free Trade Zone Market: Shandong: Qingdao data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FAR: Local Government Bond: Issuance Market: by Region: Annually.

  4. B

    Bosnia and Herzegovina Turnover Volume: SASE: ow Regular Trades: Free Market...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    Bosnia and Herzegovina Turnover Volume: SASE: ow Regular Trades: Free Market [Dataset]. https://www.ceicdata.com/en/bosnia-and-herzegovina/sarajevo-stock-exchange-turnover-volume/turnover-volume-sase-ow-regular-trades-free-market
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    Dataset updated
    Feb 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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Bosnia and Herzegovina
    Variables measured
    Turnover
    Description

    Bosnia and Herzegovina Turnover Volume: SASE: ow Regular Trades: Free Market data was reported at 121,879.000 Unit in Feb 2025. This records an increase from the previous number of 51,469.000 Unit for Jan 2025. Bosnia and Herzegovina Turnover Volume: SASE: ow Regular Trades: Free Market data is updated monthly, averaging 396,437.500 Unit from Jan 2006 (Median) to Feb 2025, with 230 observations. The data reached an all-time high of 13,783,481.000 Unit in Apr 2007 and a record low of 24,531.000 Unit in Apr 2023. Bosnia and Herzegovina Turnover Volume: SASE: ow Regular Trades: Free Market data remains active status in CEIC and is reported by Sarajevo Stock Exchange. The data is categorized under Global Database’s Bosnia and Herzegovina – Table BA.Z004: Sarajevo Stock Exchange: Turnover Volume.

  5. T

    Turkey Aggregated Balance Sheet: Claims on Central Bank: Time Free Acc

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey Aggregated Balance Sheet: Claims on Central Bank: Time Free Acc [Dataset]. https://www.ceicdata.com/en/turkey/balance-sheet-aggregated-deposit-participation-and-investment--development-banks/aggregated-balance-sheet-claims-on-central-bank-time-free-acc
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    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
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Türkiye
    Variables measured
    Balance Sheets
    Description

    Turkey Aggregated Balance Sheet: Claims on Central Bank: Time Free Acc data was reported at 40,432,854.000 TRY th in Oct 2018. This records an increase from the previous number of 38,873,262.000 TRY th for Sep 2018. Turkey Aggregated Balance Sheet: Claims on Central Bank: Time Free Acc data is updated monthly, averaging 360,147.500 TRY th from Jan 1986 (Median) to Oct 2018, with 394 observations. The data reached an all-time high of 47,765,895.000 TRY th in Aug 2018 and a record low of 256.700 TRY th in Apr 1986. Turkey Aggregated Balance Sheet: Claims on Central Bank: Time Free Acc data remains active status in CEIC and is reported by Central Bank of the Republic of Turkey. The data is categorized under Global Database’s Turkey – Table TR.KB052: Balance Sheet: Aggregated: Deposit, Participation and Investment & Development Banks.

  6. C

    Colombia Free Zones: Exports: Volume: International Valle De Aburrá Zofiva...

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). Colombia Free Zones: Exports: Volume: International Valle De Aburrá Zofiva SAS [Dataset]. https://www.ceicdata.com/en/colombia/exports-free-trade-zone/free-zones-exports-volume-international-valle-de-aburr-zofiva-sas
    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
    Mar 1, 2018 - Mar 1, 2019
    Area covered
    Colombia
    Description

    Colombia Free Zones: Exports: Volume: International Valle De Aburrá Zofiva SAS data was reported at 0.000 Metric Ton in Mar 2019. This stayed constant from the previous number of 0.000 Metric Ton for Feb 2019. Colombia Free Zones: Exports: Volume: International Valle De Aburrá Zofiva SAS data is updated monthly, averaging 0.000 Metric Ton from Jan 2014 (Median) to Mar 2019, with 62 observations. The data reached an all-time high of 0.002 Metric Ton in Nov 2018 and a record low of 0.000 Metric Ton in Mar 2019. Colombia Free Zones: Exports: Volume: International Valle De Aburrá Zofiva SAS data remains active status in CEIC and is reported by National Statistics Administrative Department. The data is categorized under Global Database’s Colombia – Table CO.JA021: Exports: Free Trade Zone.

  7. C

    Colombia Free Zones: Imports: cif: Uruguay

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Colombia Free Zones: Imports: cif: Uruguay [Dataset]. https://www.ceicdata.com/en/colombia/imports-free-trade-zone-by-country/free-zones-imports-cif-uruguay
    Explore at:
    Dataset updated
    Feb 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
    Mar 1, 2018 - Mar 1, 2019
    Area covered
    Colombia
    Description

    Colombia Free Zones: Imports: cif: Uruguay data was reported at 0.000 USD th in Mar 2019. This stayed constant from the previous number of 0.000 USD th for Feb 2019. Colombia Free Zones: Imports: cif: Uruguay data is updated monthly, averaging 0.000 USD th from Jan 2014 (Median) to Mar 2019, with 62 observations. The data reached an all-time high of 765.000 USD th in Jun 2015 and a record low of 0.000 USD th in Mar 2019. Colombia Free Zones: Imports: cif: Uruguay data remains active status in CEIC and is reported by National Statistics Administrative Department. The data is categorized under Global Database’s Colombia – Table CO.JA044: Imports: Free Trade Zone: by Country.

  8. B

    Bosnia and Herzegovina No of Listed Issuer: SASE: Free Market

    • ceicdata.com
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    CEICdata.com, Bosnia and Herzegovina No of Listed Issuer: SASE: Free Market [Dataset]. https://www.ceicdata.com/en/bosnia-and-herzegovina/sarajevo-stock-exchange-number-of-listed-issuer/no-of-listed-issuer-sase-free-market
    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Bosnia and Herzegovina
    Variables measured
    Number of Listed Companies
    Description

    Bosnia and Herzegovina Number of Listed Issuer: SASE: Free Market data was reported at 195.000 Unit in Feb 2025. This stayed constant from the previous number of 195.000 Unit for Jan 2025. Bosnia and Herzegovina Number of Listed Issuer: SASE: Free Market data is updated monthly, averaging 260.000 Unit from May 2006 (Median) to Feb 2025, with 225 observations. The data reached an all-time high of 524.000 Unit in Oct 2008 and a record low of 126.000 Unit in Sep 2011. Bosnia and Herzegovina Number of Listed Issuer: SASE: Free Market data remains active status in CEIC and is reported by Sarajevo Stock Exchange. The data is categorized under Global Database’s Bosnia and Herzegovina – Table BA.Z005: Sarajevo Stock Exchange: Number of Listed Issuer.

  9. U

    United States Foreign Direct Investment: Special Group: OPEC

    • ceicdata.com
    Updated Mar 15, 2025
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    CEICdata.com (2025). United States Foreign Direct Investment: Special Group: OPEC [Dataset]. https://www.ceicdata.com/en/united-states/foreign-direct-investment-by-country/foreign-direct-investment-special-group-opec
    Explore at:
    Dataset updated
    Mar 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
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Foreign Investment
    Description

    United States Foreign Direct Investment: Special Group: OPEC data was reported at 96.000 USD mn in Jun 2018. This records a decrease from the previous number of 112.000 USD mn for Mar 2018. United States Foreign Direct Investment: Special Group: OPEC data is updated quarterly, averaging 51.500 USD mn from Mar 1994 (Median) to Jun 2018, with 98 observations. The data reached an all-time high of 2.396 USD bn in Mar 2005 and a record low of -2.285 USD bn in Dec 2008. United States Foreign Direct Investment: Special Group: OPEC data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.O004: Foreign Direct Investment: by Country: Flow.

  10. T

    Turkey Inv & Dev Bank: Claims on Central Banks: Sight Free

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Turkey Inv & Dev Bank: Claims on Central Banks: Sight Free [Dataset]. https://www.ceicdata.com/en/turkey/balance-sheet-investment-and-development-banks/inv--dev-bank-claims-on-central-banks-sight-free
    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
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Türkiye
    Variables measured
    Balance Sheets
    Description

    Turkey Inv & Dev Bank: Claims on Central Banks: Sight Free data was reported at 521,552.000 TRY th in Jun 2018. This records an increase from the previous number of 251,075.000 TRY th for May 2018. Turkey Inv & Dev Bank: Claims on Central Banks: Sight Free data is updated monthly, averaging 5,464.000 TRY th from Jan 1986 (Median) to Jun 2018, with 390 observations. The data reached an all-time high of 943,036.000 TRY th in Jun 2007 and a record low of 13.900 TRY th in Dec 1987. Turkey Inv & Dev Bank: Claims on Central Banks: Sight Free data remains active status in CEIC and is reported by Central Bank of the Republic of Turkey. The data is categorized under Global Database’s Turkey – Table TR.KB050: Balance Sheet: Investment and Development Banks.

  11. B

    Bosnia and Herzegovina Turnover Value: SASE: ow Regular Trades: Free Market:...

    • ceicdata.com
    Updated Feb 21, 2018
    + more versions
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    CEICdata.com (2018). Bosnia and Herzegovina Turnover Value: SASE: ow Regular Trades: Free Market: Secondary [Dataset]. https://www.ceicdata.com/en/bosnia-and-herzegovina/sarajevo-stock-exchange-turnover-value/turnover-value-sase-ow-regular-trades-free-market-secondary
    Explore at:
    Dataset updated
    Feb 21, 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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    Bosnia and Herzegovina
    Variables measured
    Turnover
    Description

    Bosnia and Herzegovina Turnover Value: SASE: ow Regular Trades: Free Market: Secondary data was reported at 29,050.790 BAM in Jan 2025. This records a decrease from the previous number of 1,299,783.020 BAM for Dec 2024. Bosnia and Herzegovina Turnover Value: SASE: ow Regular Trades: Free Market: Secondary data is updated monthly, averaging 1,289,315.690 BAM from Mar 2009 (Median) to Jan 2025, with 191 observations. The data reached an all-time high of 177,755,745.020 BAM in Jul 2015 and a record low of 29,050.790 BAM in Jan 2025. Bosnia and Herzegovina Turnover Value: SASE: ow Regular Trades: Free Market: Secondary data remains active status in CEIC and is reported by Sarajevo Stock Exchange. The data is categorized under Global Database’s Bosnia and Herzegovina – Table BA.Z003: Sarajevo Stock Exchange: Turnover Value.

  12. C

    China CN: Commerce, Catering & Service Special Equipment: Financial Expense:...

    • ceicdata.com
    Updated Dec 15, 2020
    + more versions
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    CEICdata.com (2020). China CN: Commerce, Catering & Service Special Equipment: Financial Expense: ytd [Dataset]. https://www.ceicdata.com/en/china/environmental-social-public-service-and-other-special-equipment-commerce-catering-and-service-special-equipment/cn-commerce-catering--service-special-equipment-financial-expense-ytd
    Explore at:
    Dataset updated
    Dec 15, 2020
    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
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Commerce, Catering & Service Special Equipment: Financial Expense: Year to Date data was reported at 0.017 RMB bn in Oct 2015. This records an increase from the previous number of 0.016 RMB bn for Sep 2015. China Commerce, Catering & Service Special Equipment: Financial Expense: Year to Date data is updated monthly, averaging 0.006 RMB bn from Dec 2001 (Median) to Oct 2015, with 99 observations. The data reached an all-time high of 0.024 RMB bn in Dec 2008 and a record low of 0.001 RMB bn in Mar 2011. China Commerce, Catering & Service Special Equipment: Financial Expense: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHX: Environmental, Social Public Service and Other Special Equipment: Commerce, Catering and Service Special Equipment.

  13. C

    China CN: Local Government Debt Outstanding: Local Level: Special: Shandong:...

    • ceicdata.com
    Updated Dec 15, 2020
    + more versions
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    CEICdata.com (2020). China CN: Local Government Debt Outstanding: Local Level: Special: Shandong: Qingdao [Dataset]. https://www.ceicdata.com/en/china/local-government-debt-local-level-outstanding-by-region-annually/cn-local-government-debt-outstanding-local-level-special-shandong-qingdao
    Explore at:
    Dataset updated
    Dec 15, 2020
    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
    China
    Description

    Local Government Debt Outstanding: Local Level: Special: Shandong: Qingdao data was reported at 40,715.000 RMB mn in 2023. This records an increase from the previous number of 33,505.000 RMB mn for 2022. Local Government Debt Outstanding: Local Level: Special: Shandong: Qingdao data is updated yearly, averaging 19,729.000 RMB mn from Dec 2014 (Median) to 2023, with 10 observations. The data reached an all-time high of 40,715.000 RMB mn in 2023 and a record low of 8,550.000 RMB mn in 2015. Local Government Debt Outstanding: Local Level: Special: Shandong: Qingdao data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FAR: Local Government Debt: Local Level: Outstanding: by Region: Annually.

  14. C

    Colombia Free Zones: Exports: fob: Bahamas

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Colombia Free Zones: Exports: fob: Bahamas [Dataset]. https://www.ceicdata.com/en/colombia/exports-free-trade-zone-by-country/free-zones-exports-fob-bahamas
    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
    Mar 1, 2018 - Mar 1, 2019
    Area covered
    Colombia
    Description

    Colombia Free Zones: Exports: fob: Bahamas data was reported at 5.248 USD th in Mar 2019. This records an increase from the previous number of 0.000 USD th for Feb 2019. Colombia Free Zones: Exports: fob: Bahamas data is updated monthly, averaging 0.000 USD th from Jan 2014 (Median) to Mar 2019, with 62 observations. The data reached an all-time high of 21,744.120 USD th in Feb 2014 and a record low of 0.000 USD th in Feb 2019. Colombia Free Zones: Exports: fob: Bahamas data remains active status in CEIC and is reported by National Statistics Administrative Department. The data is categorized under Global Database’s Colombia – Table CO.JA022: Exports: Free Trade Zone: by Country.

  15. C

    China CN: Local Government Bond: Local Level: Issuance: New: Special:...

    • ceicdata.com
    Updated Dec 15, 2020
    + more versions
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    CEICdata.com (2020). China CN: Local Government Bond: Local Level: Issuance: New: Special: Shandong [Dataset]. https://www.ceicdata.com/en/china/local-government-bond-local-level-issuance-by-region-annually/cn-local-government-bond-local-level-issuance-new-special-shandong
    Explore at:
    Dataset updated
    Dec 15, 2020
    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, 2016 - Dec 1, 2023
    Area covered
    China
    Description

    Local Government Bond: Local Level: Issuance: New: Special: Shandong data was reported at 14,735.000 RMB mn in 2023. This records an increase from the previous number of 14,512.000 RMB mn for 2022. Local Government Bond: Local Level: Issuance: New: Special: Shandong data is updated yearly, averaging 6,307.500 RMB mn from Dec 2016 (Median) to 2023, with 8 observations. The data reached an all-time high of 14,735.000 RMB mn in 2023 and a record low of 1,500.000 RMB mn in 2017. Local Government Bond: Local Level: Issuance: New: Special: Shandong data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FAR: Local Government Bond: Local Level: Issuance: by Region: Annually.

  16. C

    China CN: Food, Wine, Beverage & Tea Production Special Equipment: YoY:...

    • ceicdata.com
    Updated Dec 15, 2020
    + more versions
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    China CN: Food, Wine, Beverage & Tea Production Special Equipment: YoY: Financial Expense: Interest Expense: ytd [Dataset]. https://www.ceicdata.com/en/china/food-beverage-tobacco-and-feed-production-special-equipment-food-wine-beverage-and-tea-production-special-equipment/cn-food-wine-beverage--tea-production-special-equipment-yoy-financial-expense-interest-expense-ytd
    Explore at:
    Dataset updated
    Dec 15, 2020
    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
    Nov 1, 2014 - Oct 1, 2015
    Area covered
    China
    Variables measured
    Economic Activity
    Description

    China Food, Wine, Beverage & Tea Production Special Equipment: YoY: Financial Expense: Interest Expense: Year to Date data was reported at 15.903 % in Oct 2015. This records a decrease from the previous number of 25.443 % for Sep 2015. China Food, Wine, Beverage & Tea Production Special Equipment: YoY: Financial Expense: Interest Expense: Year to Date data is updated monthly, averaging 15.354 % from Jan 2012 (Median) to Oct 2015, with 46 observations. The data reached an all-time high of 47.465 % in Feb 2012 and a record low of -26.103 % in Feb 2013. China Food, Wine, Beverage & Tea Production Special Equipment: YoY: Financial Expense: Interest Expense: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BHX: Food, Beverage, Tobacco and Feed Production Special Equipment: Food, Wine, Beverage and Tea Production Special Equipment.

  17. C

    China CN: Local Government Debt Outstanding: Special: Fujian: Xiamen

    • ceicdata.com
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    CEICdata.com, China CN: Local Government Debt Outstanding: Special: Fujian: Xiamen [Dataset]. https://www.ceicdata.com/en/china/local-government-debt-outstanding-by-region-monthly/cn-local-government-debt-outstanding-special-fujian-xiamen
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    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    China
    Description

    Local Government Debt Outstanding: Special: Fujian: Xiamen data was reported at 227,798.050 RMB mn in Jan 2025. This records an increase from the previous number of 222,198.050 RMB mn for Dec 2024. Local Government Debt Outstanding: Special: Fujian: Xiamen data is updated monthly, averaging 102,972.264 RMB mn from Jan 2018 (Median) to Jan 2025, with 85 observations. The data reached an all-time high of 227,798.050 RMB mn in Jan 2025 and a record low of 30,009.000 RMB mn in Jul 2018. Local Government Debt Outstanding: Special: Fujian: Xiamen data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FAR: Local Government Debt: Outstanding: by Region: Monthly.

  18. B

    Brazil State Government: Central West: Goiás: Expenditure: Current: Other...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Brazil State Government: Central West: Goiás: Expenditure: Current: Other Charges: Direct Application: Material Distribution Free [Dataset]. https://www.ceicdata.com/en/brazil/state-government-consolidated-budget-central-west-gois/state-government-central-west-gois-expenditure-current-other-charges-direct-application-material-distribution-free
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    Dataset updated
    Feb 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, 2013 - Dec 1, 2017
    Area covered
    Brazil
    Description

    Brazil State Government: Central West: Goiás: Expenditure: Current: Other Charges: Direct Application: Material Distribution Free data was reported at 155,510,457.370 BRL in 2017. This records an increase from the previous number of 77,833,339.000 BRL for 2016. Brazil State Government: Central West: Goiás: Expenditure: Current: Other Charges: Direct Application: Material Distribution Free data is updated yearly, averaging 155,510,457.370 BRL from Dec 2013 (Median) to 2017, with 5 observations. The data reached an all-time high of 240,237,303.290 BRL in 2014 and a record low of 13,047,667.330 BRL in 2013. Brazil State Government: Central West: Goiás: Expenditure: Current: Other Charges: Direct Application: Material Distribution Free data remains active status in CEIC and is reported by National Treasury Secretariat. The data is categorized under Brazil Premium Database’s Government and Public Finance – Table BR.FE026: State Government Consolidated Budget: Central West: Goiás.

  19. C

    China CN: Local Government Debt Outstanding: Local Level: Special: Guangxi:...

    • ceicdata.com
    Updated Apr 23, 2022
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    CEICdata.com (2022). China CN: Local Government Debt Outstanding: Local Level: Special: Guangxi: Guilin [Dataset]. https://www.ceicdata.com/en/china/local-government-debt-prefecture-level-city-local-level-outstanding/cn-local-government-debt-outstanding-local-level-special-guangxi-guilin
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    Dataset updated
    Apr 23, 2022
    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, 2020 - Dec 1, 2023
    Area covered
    China
    Description

    Local Government Debt Outstanding: Local Level: Special: Guangxi: Guilin data was reported at 30,772.330 RMB mn in 2023. This records an increase from the previous number of 23,444.910 RMB mn for 2022. Local Government Debt Outstanding: Local Level: Special: Guangxi: Guilin data is updated yearly, averaging 22,398.050 RMB mn from Dec 2020 (Median) to 2023, with 4 observations. The data reached an all-time high of 30,772.330 RMB mn in 2023 and a record low of 14,850.000 RMB mn in 2020. Local Government Debt Outstanding: Local Level: Special: Guangxi: Guilin data remains active status in CEIC and is reported by Guilin Municipal Bureau of Statistics. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FAR: Local Government Debt: Prefecture Level City: Local Level: Outstanding.

  20. C

    Colombia Free Zones: Exports: fob: Barranquilla

    • ceicdata.com
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    CEICdata.com, Colombia Free Zones: Exports: fob: Barranquilla [Dataset]. https://www.ceicdata.com/en/colombia/exports-free-trade-zone/free-zones-exports-fob-barranquilla
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    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
    Mar 1, 2018 - Mar 1, 2019
    Area covered
    Colombia
    Description

    Colombia Free Zones: Exports: fob: Barranquilla data was reported at 8,963.525 USD th in Mar 2019. This records a decrease from the previous number of 10,529.198 USD th for Feb 2019. Colombia Free Zones: Exports: fob: Barranquilla data is updated monthly, averaging 7,422.732 USD th from Jan 2014 (Median) to Mar 2019, with 62 observations. The data reached an all-time high of 13,954.812 USD th in Feb 2014 and a record low of 5,001.895 USD th in Feb 2017. Colombia Free Zones: Exports: fob: Barranquilla data remains active status in CEIC and is reported by National Statistics Administrative Department. The data is categorized under Global Database’s Colombia – Table CO.JA021: Exports: Free Trade Zone.

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Georgios Fatouros; Georgios Fatouros; Kalliopi Kouroumali; Kalliopi Kouroumali (2023). Forex News Annotated Dataset for Sentiment Analysis [Dataset]. http://doi.org/10.5281/zenodo.7976208
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Forex News Annotated Dataset for Sentiment Analysis

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csvAvailable download formats
Dataset updated
Nov 11, 2023
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Georgios Fatouros; Georgios Fatouros; Kalliopi Kouroumali; 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

    <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.

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