76 datasets found
  1. Currency Data | Business Analysis

    • kaggle.com
    zip
    Updated Oct 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Aqib Gul (2022). Currency Data | Business Analysis [Dataset]. https://www.kaggle.com/datasets/akibmir/currency-data-business-analysis
    Explore at:
    zip(4093 bytes)Available download formats
    Dataset updated
    Oct 1, 2022
    Authors
    Aqib Gul
    Description

    The data was collected from Currency Data API which provides a simple REST API with real-time and historical exchange rates for 168 world currencies, delivering currency pairs in universally usable JSON format - compatible with any of your applications. Spot exchange rate data is retrieved from several major forex data providers in real-time, validated, processed and delivered hourly, every 10 minutes, or even within the 60-second market window. Providing the most representative forex market value available ("midpoint" value) for every API request, the Currency Data API API powers currency converters, mobile applications, financial software components and back-office systems all around the world.

    The data has been collected from APILayer. They are providing the API's to extract the data with the help of any programming language. I extracted the data with the help of Python using the packages json, requests and pandas. In case you want to cite this source, below is the Citation Aqib Gul. (2022). Currency Data | Business Analysis [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/4271166

  2. Market Data and Statistics - Monthly Statistical Bulletin - Exchange rates...

    • data.gov.hk
    Updated Apr 10, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.gov.hk (2019). Market Data and Statistics - Monthly Statistical Bulletin - Exchange rates and interest rates - Hong Kong dollar forward exchange rates - Period average figures | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-hkma-t06-t060202hkd-fer-periodaverage
    Explore at:
    Dataset updated
    Apr 10, 2019
    Dataset provided by
    data.gov.hk
    Area covered
    Hong Kong
    Description

    This API is providing the period average figures of Hong Kong dollar forward exchange rates.

  3. Historical exchange rate values (2000 - 2022)

    • kaggle.com
    zip
    Updated Jul 7, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Stanley (2022). Historical exchange rate values (2000 - 2022) [Dataset]. https://www.kaggle.com/datasets/shisui14/historical-exchange-rate-values-2000-2022/suggestions
    Explore at:
    zip(105772 bytes)Available download formats
    Dataset updated
    Jul 7, 2022
    Authors
    Stanley
    Description

    The data was collected using python api from https://api.exchangeratesapi.io/ . This data contains the exchange rate values for USD, EUR, GBP, JPY with INR as Base currency. This could be used to analyze how the value of INR has changed over the last 22 years.

  4. d

    Korea Eximbank Exchange Rate Information

    • data.go.kr
    xml
    Updated Jun 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Korea Eximbank Exchange Rate Information [Dataset]. https://www.data.go.kr/en/data/3068846/openapi.do
    Explore at:
    xmlAvailable download formats
    Dataset updated
    Jun 30, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    This is the exchange rate information provided by the Korea Export-Import Bank. The Request URL domain of the exchange rate API has been changed. (2025.6.25) The existing domain will be gradually terminated. ※ Change history: Request URL domain changed (www.koreaexim.go.kr -> oapi.koreaexim.go.kr) You can check the details on our homepage. https://www.koreaexim.go.kr/ir/HPHKIR020M01?apino=2&viewtype=C&searchselect=&searchword=

  5. Exchange rates – daily bulletins - Dataset - Banco Central do Brasil Open...

    • opendata.bcb.gov.br
    Updated Aug 23, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    bcb.gov.br (2017). Exchange rates – daily bulletins [Dataset]. https://opendata.bcb.gov.br/dataset/exchange-rates-daily-bulletins
    Explore at:
    Dataset updated
    Aug 23, 2017
    Dataset provided by
    Central Bank of Brazilhttp://www.bc.gov.br/
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    Daily bulletin time series available since 2/1/2002, for the Euro, and since 28/11/1984, for the other currencies. For the American Dollar, this data set shows administered rates until March, 1990 and free rates from then on (Resolution 1690/1990). Administered rates are those set by the Central Bank of Brazil; from March, 1992, this rate started being called Ptax rate (close). Until 30/6/2011, this rate was calculated as the average rate, weighed by volume, of all interbank operations traded on that day. Starting on 1/7/2011 (Circular 3506/2010), the Ptax rate calculation corresponds to the arithmetic average of four daily quotes provided by Central Bank of Brazil’s foreign exchange dealers; the quotes must reflect market conditions at that time. Parities of the other currencies against the American Dollar (USD) are obtained from information agencies. Currencies rates against the Brazilian currency are calculated dividing the Brazilian currency rate against the American Dollar by the parities against the American Dollar for type A currencies, and multiplying the Brazilian currency rate against the American Dollar by the parities against the American Dollar for type B currencies. Available currencies: Danish Krone (DKK) Type A Norwegian Krone (NOK) Type A Swedish Krona (SEK) Type A American Dollar (USD) Type A Australian Dollar (AUD) Type B Canadian Dollar (CAD) Type A Euro (EUR) Type B Swiss Franc (CHF) Type A Japanese Yen (JPY) Type A British Pound (GBP) Type B Unit of measure: Type A currencies: Parity (American Dollar): quantity in the currency per one unit of American Dollar (USD); Rates (Brazilian currency): quantity in the Brazilian currency per one unit of the currency Type B currencies: Parity (American Dollar): quantity in American Dollars (USD) per one unit of the currency; Rates (Brazilian currency): quantity in the Brazilian currency per one unit of the currency Example of how to calculate type A currencies rates in the Brazilian currency, considering the Real (BRL) as the domestic currency and the Canadian Dollar (CAD) as the foreign currency: CADBRL bid rate = USDBRL bid rate ÷ USDCAD offer parity CADBRL offer rate = USDBRL offer rate ÷ USDCAD bid parity Example of how to calculate type B currencies rates in the Brazilian currency, considering the Real (BRL) as the domestic currency and the Euro (EUR) as the foreign currency: EURBRL bid rate = EURUSD bid parity × USDBRL bid rate EURBRL offer rate = EURUSD offer parity × USDBRL offer rate Source: Refinitiv, except for USDBRL The Central Bank assumes no responsibility whatsoever for non-simultaneity or any lack of information, as well as for possible errors in currency parities or any other errors, except the parity of the United States dollar in relation to the Real. The institution also assumes no responsibilty for delays or the unavailability of telecommunications services, interruptions, failures or imprecisions in the providing of the services or information. The Central Bank likewise assumes no responsibility for any losses or damages consequent upon such interruptions, delays, failings or imperfections, as well as for the inadequate use of the information contained in the transaction. af829095-9d8c-4c1d-a77f-48e4d51f7a71 exchange-rates-daily-bulletins

  6. FX Pricing Data

    • lseg.com
    Updated Apr 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    LSEG (2025). FX Pricing Data [Dataset]. https://www.lseg.com/en/data-analytics/financial-data/pricing-and-market-data/fx-pricing-data
    Explore at:
    csv,delimited,gzip,json,pdf,python,sql,text,user interface,xml,zip archiveAvailable download formats
    Dataset updated
    Apr 16, 2025
    Dataset provided by
    London Stock Exchange Grouphttp://www.londonstockexchangegroup.com/
    Authors
    LSEG
    License

    https://www.lseg.com/en/policies/website-disclaimerhttps://www.lseg.com/en/policies/website-disclaimer

    Description

    Gain exclusive access to specialist Foreign Exchange (FX) data, and the tools to manage trading analysis, risk and operations with LSEG's FX Pricing Data.

  7. Exchange Rates: Currencies & Gold (2002-2024)

    • kaggle.com
    zip
    Updated Aug 14, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Milan Gabriel (2024). Exchange Rates: Currencies & Gold (2002-2024) [Dataset]. https://www.kaggle.com/datasets/milangabriel/exchange-rates-currencies-and-gold-2002-2024
    Explore at:
    zip(255459 bytes)Available download formats
    Dataset updated
    Aug 14, 2024
    Authors
    Milan Gabriel
    License

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

    Description

    Exchange Rates: Currencies & Gold (2002-2024)

    Description:

    This dataset contains the exchange rates of various currencies and gold against the Polish Zloty (PLN) from January 2, 2002, to July 31, 2024. The data includes daily exchange rates for the following currencies and commodities:

    • USD: United States Dollar
    • EUR: Euro
    • JPY: Japanese Yen
    • GBP: British Pound Sterling
    • AUD: Australian Dollar
    • CAD: Canadian Dollar
    • CHF: Swiss Franc
    • INR: Indian Rupee
    • ZAR: South African Rand
    • SGD: Singapore Dollar
    • MXN: Mexican Peso
    • BRL: Brazilian Real
    • KRW: South Korean Won
    • TRY: Turkish Lira
    • SEK: Swedish Krona
    • NOK: Norwegian Krone
    • Gold: Gold (in terms of PLN per unit)

    Columns:

    • Date: The date of the exchange rate.
    • USD: Exchange rate of USD to PLN.
    • EUR: Exchange rate of EUR to PLN.
    • JPY: Exchange rate of JPY to PLN.
    • GBP: Exchange rate of GBP to PLN.
    • AUD: Exchange rate of AUD to PLN.
    • CAD: Exchange rate of CAD to PLN.
    • CHF: Exchange rate of CHF to PLN.
    • INR: Exchange rate of INR to PLN.
    • ZAR: Exchange rate of ZAR to PLN.
    • SGD: Exchange rate of SGD to PLN.
    • MXN: Exchange rate of MXN to PLN.
    • BRL: Exchange rate of BRL to PLN.
    • KRW: Exchange rate of KRW to PLN.
    • TRY: Exchange rate of TRY to PLN.
    • SEK: Exchange rate of SEK to PLN.
    • NOK: Exchange rate of NOK to PLN.
    • Gold: Exchange rate of Gold to PLN.

    Source:

    The data was obtained using the National Bank of Poland (NBP) API. This project was undertaken as part of a learning exercise to explore and utilize API data. Special thanks to NBP for providing the API and data.

    Usage:

    This dataset is useful for analyzing trends in exchange rates over time, understanding currency volatility, and performing financial analyses involving PLN and its exchange rates. It can be applied in economic research, financial forecasting, and investment strategy development.

  8. Market Data and Statistics - Monthly Statistical Bulletin - Exchange rates...

    • data.gov.hk
    Updated Nov 18, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.gov.hk (2018). Market Data and Statistics - Monthly Statistical Bulletin - Exchange rates and interest rates - Exchange rates and the effective exchange rate indices - End of period figures | DATA.GOV.HK [Dataset]. https://data.gov.hk/en-data/dataset/hk-hkma-t06-t060101er-eeri-endperiod
    Explore at:
    Dataset updated
    Nov 18, 2018
    Dataset provided by
    data.gov.hk
    Description

    This API is providing the exchange rates and the effective exchange rate indices as at end of period.

  9. g

    API for open data

    • gimi9.com
    Updated Apr 6, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). API for open data [Dataset]. https://gimi9.com/dataset/eu_https-data-norge-no-node-2070/
    Explore at:
    Dataset updated
    Apr 6, 2022
    Description

    Norges Bank’s open data API provides machine access to selected statistics such as interest rates and exchange rates published by the bank. The service is implemented as a REST programming interface where one can formulate queries against the bank’s datasets and extract statistics in a variety of formats. The service can be used freely and requires no authentication.

  10. G

    Real-Time FX Rate APIs for Treasury Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Growth Market Reports (2025). Real-Time FX Rate APIs for Treasury Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/real-time-fx-rate-apis-for-treasury-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Oct 4, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real-Time FX Rate APIs for Treasury Market Outlook




    According to our latest research, the global real-time FX rate APIs for treasury market size reached USD 1.47 billion in 2024, driven by the escalating demand for instant currency conversion and improved treasury management. The market is experiencing robust expansion, with a calculated CAGR of 12.4% from 2025 to 2033, propelling it to an anticipated value of USD 4.17 billion by 2033. This remarkable growth is primarily fueled by the increasing need for real-time data integration, automation in treasury operations, and the proliferation of cross-border transactions in a rapidly globalizing economy.




    Several key factors are contributing to the accelerating growth of the real-time FX rate APIs for treasury market. First and foremost, the globalization of financial operations and the expansion of multinational corporations have heightened the necessity for accurate, real-time foreign exchange rate information. Treasury departments are under constant pressure to manage currency risk, optimize cash flow, and ensure regulatory compliance. Real-time FX rate APIs empower treasurers by seamlessly integrating live currency data into enterprise resource planning (ERP) and treasury management systems, thereby enabling instantaneous decision-making and risk mitigation. The proliferation of digital transformation initiatives in the financial sector is further amplifying the adoption of these solutions, as organizations seek to automate manual processes, reduce operational risk, and enhance overall efficiency.




    Another significant growth driver is the evolving regulatory landscape, which demands greater transparency, auditability, and timeliness in financial reporting and transaction processing. Real-time FX rate APIs provide treasury teams with consistent, up-to-date pricing information, which is critical for accurate valuations, compliance with accounting standards such as IFRS and GAAP, and meeting the stringent requirements of international regulators. Moreover, the rise in cross-border e-commerce, the adoption of instant payment systems, and the increasing complexity of global supply chains are intensifying the need for real-time FX data integration. As organizations strive to maintain competitive advantage and minimize exposure to currency fluctuations, the adoption of robust API-driven solutions is becoming an operational imperative.




    The rapid advancements in cloud computing, artificial intelligence, and API management platforms are also catalyzing the growth of the real-time FX rate APIs for treasury market. Cloud-based deployment models offer unparalleled scalability, flexibility, and cost-effectiveness, enabling organizations of all sizes to deploy sophisticated FX management tools without the burden of significant upfront investments. Furthermore, the integration of AI-driven analytics with real-time FX data APIs is empowering treasurers to gain deeper insights, forecast currency movements, and develop more effective hedging strategies. These technological innovations are not only lowering the barriers to entry for smaller enterprises but also enabling large organizations to achieve greater agility and resilience in their treasury operations.




    From a regional perspective, North America currently dominates the real-time FX rate APIs for treasury market, accounting for the largest revenue share in 2024. This leadership is attributed to the presence of major financial institutions, advanced fintech infrastructure, and a high level of digital adoption across corporate treasuries. Europe follows closely, with significant growth observed in countries such as the United Kingdom, Germany, and France, where regulatory reforms and the expansion of cross-border trade are fueling demand for real-time FX solutions. The Asia Pacific region is emerging as a high-growth market, propelled by rapid economic development, increased foreign investment, and the digitalization of financial services in countries like China, Japan, Singapore, and Australia.





    Component Analysis

    <br

  11. Sri Lanka / U.S. Foreign Exchange Rate

    • kaggle.com
    zip
    Updated Dec 24, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Federal Reserve (2019). Sri Lanka / U.S. Foreign Exchange Rate [Dataset]. https://www.kaggle.com/datasets/federalreserve/sri-lanka--u.s.-foreign-exchange-rate
    Explore at:
    zip(4729 bytes)Available download formats
    Dataset updated
    Dec 24, 2019
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    Area covered
    Sri Lanka
    Description

    Content

    Averages of daily figures. Noon buying rates in New York City for cable transfers payable in foreign currencies.

    This data series is updated from the source files in the Data Download Program (http://www.federalreserve.gov/datadownload/Choose.aspx?rel=h10). The files are updated on a weekly basis every Monday. If Monday is a holiday, the data files are updated the next business day.

    Monthly values are averages of the daily data available. Preliminary value for the current month is provided by the source even if not all daily values are available for the entire month.

    Please note that the values reported on the press release may not correspond to the values in the Data Download Program when the press release is published on a day other than Monday. This inconsistency is resolved on the next available weekly release date.

    Context

    This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

    • Update Frequency: This dataset is updated daily.

    • Observation Start: 1973-01-01

    • Observation End : 2019-11-01

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by Louise Burton on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  12. Treasury Reporting Rates of Exchange🌐

    • kaggle.com
    zip
    Updated Nov 5, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    mahdieh hajian (2024). Treasury Reporting Rates of Exchange🌐 [Dataset]. https://www.kaggle.com/mahdiehhajian/treasury-reporting-rates-of-exchange
    Explore at:
    zip(385341 bytes)Available download formats
    Dataset updated
    Nov 5, 2024
    Authors
    mahdieh hajian
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    🟩**The Treasury Reporting Rates of Exchange dataset provides the U.S. government's authoritative exchange rates to ensure consistency for foreign currency units and U.S. dollar equivalents across all reporting done by agencies of the government. This report covers any foreign currencies in which the U.S. government has an interest, including: receipts and disbursements, accrued revenues and expenditures, authorizations, obligations, receivables and payables, refunds, and similar reverse transaction items. The Secretary of the Treasury has the sole authority to establish the exchange rates for all foreign currencies or credits reported by government agencies under federal law. For pulling specific exchange rates based on country or currency please see the Notes and Known Limitations below.**

    🟦💰**Parameter: fields= Definition: The fields parameter allows you to select which field(s) should be included in the response. Accepts: The fields= parameter accepts a comma-separated list of field names (no parentheses). Required: No, specifying fields is not required to make an API request. Default: If desired fields are not specified, all fields will be returned. Notes: When a field named passed to the fields= parameter is not available for the endpoint accessed, an error will occur. Note that omitting fields can result in automatically aggregated and summed data results. For more information, view the full documentation on Aggregation and Sums.**

  13. Taiwan / U.S. Foreign Exchange Rate

    • kaggle.com
    zip
    Updated Dec 24, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Federal Reserve (2019). Taiwan / U.S. Foreign Exchange Rate [Dataset]. https://www.kaggle.com/datasets/federalreserve/taiwan--u.s.-foreign-exchange-rate
    Explore at:
    zip(43526 bytes)Available download formats
    Dataset updated
    Dec 24, 2019
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    Area covered
    Taiwan
    Description

    Content

    More details about each file are in the individual file descriptions.

    Context

    This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by JodyHongFilms on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  14. Dollar Exchange Rates: Asian Countries

    • kaggle.com
    zip
    Updated Apr 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Adil Bhatti (2023). Dollar Exchange Rates: Asian Countries [Dataset]. https://www.kaggle.com/datasets/adilbhatti/dollar-exchange-rates-asian-countries/data
    Explore at:
    zip(293771 bytes)Available download formats
    Dataset updated
    Apr 1, 2023
    Authors
    Adil Bhatti
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context This Dataset is being collected by Yahoo Finance API.

    Content This dataset provides the exchange rate of 38 Asian countries from January 2004 till December 2022. It includes daily exchange rates, allowing researchers and analysts to explore the trends and patterns in the currency markets of these countries. By analyzing this data, users can gain valuable insights into the behavior and performance of these currencies, which can inform investment decisions and strategies. The dataset offers an opportunity to study the relationships between different Asian currencies, as well as their interactions with global economic factors, such as political events and market fluctuations.

  15. U.S. / U.K. Foreign Exchange Rate

    • kaggle.com
    zip
    Updated Dec 24, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Federal Reserve (2019). U.S. / U.K. Foreign Exchange Rate [Dataset]. https://www.kaggle.com/datasets/federalreserve/u.s.--u.k.-foreign-exchange-rate
    Explore at:
    zip(67623 bytes)Available download formats
    Dataset updated
    Dec 24, 2019
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    Area covered
    United Kingdom, United States
    Description

    Content

    More details about each file are in the individual file descriptions.

    Context

    This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

    • Update Frequency: This dataset is updated daily.

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by Nick Fewings on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  16. Norway / U.S. Foreign Exchange Rate

    • kaggle.com
    zip
    Updated Dec 24, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Federal Reserve (2019). Norway / U.S. Foreign Exchange Rate [Dataset]. https://www.kaggle.com/federalreserve/norway--u.s.-foreign-exchange-rate
    Explore at:
    zip(65954 bytes)Available download formats
    Dataset updated
    Dec 24, 2019
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Federal Reserve
    Area covered
    Norway, United States
    Description

    Content

    Noon buying rates in New York City for cable transfers payable in foreign currencies.

    Context

    This is a dataset from the Federal Reserve hosted by the Federal Reserve Economic Database (FRED). FRED has a data platform found here and they update their information according to the frequency that the data updates. Explore the Federal Reserve using Kaggle and all of the data sources available through the Federal Reserve organization page!

    • Update Frequency: This dataset is updated daily.

    • Observation Start: 1971-01-04

    • Observation End : 2019-12-13

    Acknowledgements

    This dataset is maintained using FRED's API and Kaggle's API.

    Cover photo by Alexey Topolyanskiy on Unsplash
    Unsplash Images are distributed under a unique Unsplash License.

  17. G

    Real-Time FX Quoting APIs for Merchants Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Oct 7, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Growth Market Reports (2025). Real-Time FX Quoting APIs for Merchants Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/real-time-fx-quoting-apis-for-merchants-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Real-Time FX Quoting APIs for Merchants Market Outlook




    According to our latest research, the global Real-Time FX Quoting APIs for Merchants market size reached USD 1.36 billion in 2024, reflecting robust adoption across diverse industries. The market is projected to expand at a CAGR of 15.8% from 2025 to 2033, reaching a forecasted value of USD 5.24 billion by 2033. This significant growth is driven by the increasing demand for seamless cross-border payments, the acceleration of global e-commerce, and the need for real-time currency conversion solutions that enhance operational efficiency and customer satisfaction.




    One of the primary growth factors fueling the Real-Time FX Quoting APIs for Merchants market is the exponential rise in cross-border e-commerce transactions. As businesses increasingly operate on a global scale, the necessity for transparent, accurate, and instant foreign exchange rate quoting has become paramount. Merchants are under pressure to offer competitive pricing and real-time currency conversion to attract and retain international customers. The integration of real-time FX quoting APIs streamlines the checkout process, minimizes currency risk, and delivers a frictionless shopping experience. Furthermore, the proliferation of digital payment platforms and the shift towards cashless economies have amplified the need for reliable FX solutions, making these APIs indispensable for merchants aiming to stay competitive in the global marketplace.




    Another key growth factor is the rapid digital transformation within financial services and retail sectors. Enterprises are increasingly leveraging advanced API-driven architectures to modernize their transaction processing systems. Real-time FX quoting APIs empower these organizations to automate currency conversion, optimize treasury operations, and reduce manual intervention, thereby lowering operational costs and mitigating errors. Additionally, the ongoing evolution of open banking initiatives and the adoption of API-first strategies by banks and payment service providers are fostering an environment where seamless interoperability and data exchange are critical. This has led to a surge in demand for robust, scalable, and secure FX quoting APIs that can be easily integrated with existing payment and e-commerce platforms.




    The growing emphasis on customer experience and the need for regulatory compliance also play pivotal roles in market expansion. Merchants and financial institutions are increasingly focused on delivering transparent pricing and adhering to global financial regulations. Real-time FX quoting APIs provide accurate, auditable, and up-to-date exchange rates, ensuring both compliance and customer trust. The ability to offer instant currency conversion not only enhances user satisfaction but also opens new revenue streams for merchants by facilitating international sales. As regulatory frameworks evolve and customer expectations rise, the adoption of advanced FX quoting solutions is expected to accelerate further.




    Regionally, North America and Europe lead the adoption of Real-Time FX Quoting APIs for Merchants, driven by their mature e-commerce landscapes, high digital payment penetration, and advanced financial infrastructure. However, Asia Pacific is emerging as the fastest-growing market, propelled by the rapid expansion of cross-border trade, increasing internet penetration, and the proliferation of fintech startups. The Middle East & Africa and Latin America are also witnessing steady growth, supported by the digitalization of commerce and rising demand for international payment solutions. Each region presents unique opportunities and challenges, shaping the competitive dynamics and innovation trajectories within the global market.





    Component Analysis




    The Real-Time FX Quoting APIs for Merchants market is segmented by component into Software and Services, both of which play integral roles in the ecosystem. The software segment encompasses the

  18. Market Data and Statistics - Monthly Statistical Bulletin - Exchange rates...

    • data.gov.hk
    Updated Apr 10, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.gov.hk (2019). Market Data and Statistics - Monthly Statistical Bulletin - Exchange rates and interest rates - Hong Kong Interbank Interest Rates - Daily figures [Dataset]. https://data.gov.hk/en-data/dataset/hk-hkma-t06-t060303hk-interbank-ir-daily
    Explore at:
    Dataset updated
    Apr 10, 2019
    Dataset provided by
    data.gov.hk
    Area covered
    Hong Kong
    Description

    This API is providing the daily figures of Hong Kong Interbank Interest Rates.

  19. D

    FX APIs Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2025). FX APIs Market Research Report 2033 [Dataset]. https://dataintelo.com/report/fx-apis-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    FX APIs Market Outlook



    According to our latest research, the global FX APIs market size reached USD 2.1 billion in 2024, reflecting robust expansion driven by the accelerating digital transformation of financial services. The market is forecasted to grow at a remarkable CAGR of 19.7% from 2025 to 2033, reaching an estimated USD 10.3 billion by 2033. This growth is primarily fueled by increasing demand for real-time currency exchange solutions, enhanced cross-border payment capabilities, and the proliferation of fintech innovations across multiple sectors.




    The FX APIs market is experiencing significant momentum as financial institutions, corporates, and fintech companies increasingly prioritize automation and digitalization of their foreign exchange operations. The surge in global trade, coupled with the rise of e-commerce and online payment gateways, has created a fertile environment for the adoption of FX APIs. These APIs enable seamless integration of real-time currency data, automated trading, and instant settlement functionalities, helping organizations reduce operational costs and improve efficiency. Furthermore, the growing need for transparency, compliance, and risk management in currency transactions is pushing businesses to adopt advanced FX API solutions that can provide robust audit trails and reporting features.




    Another key growth driver in the FX APIs market is the rapid evolution of open banking and API-first strategies among banks and financial institutions. Regulatory frameworks such as PSD2 in Europe and similar initiatives in other regions are encouraging the development and adoption of standardized APIs for financial services, including foreign exchange. This regulatory push is fostering a competitive landscape where both traditional banks and agile fintechs are leveraging FX APIs to deliver innovative products, such as multi-currency wallets, dynamic pricing engines, and borderless payment platforms. The ability of FX APIs to facilitate seamless connectivity between banking systems, trading platforms, and corporate treasury functions is further amplifying their relevance in the modern financial ecosystem.




    Technological advancements, particularly in cloud computing and artificial intelligence, are also playing a pivotal role in shaping the FX APIs market. Cloud-based deployment models are enabling organizations to scale their FX operations quickly and cost-effectively, while AI-powered analytics are enhancing the accuracy of currency forecasting and risk assessment. The integration of machine learning algorithms with FX APIs is allowing users to automate complex trading strategies and optimize currency conversions in real time. As the demand for personalized and agile financial solutions continues to rise, vendors are investing heavily in research and development to deliver next-generation FX APIs that can support advanced use cases such as algorithmic trading, instant settlement, and blockchain-based remittances.




    From a regional perspective, North America currently dominates the FX APIs market, owing to its mature financial infrastructure, high adoption of digital banking, and strong presence of leading fintech innovators. However, the Asia Pacific region is emerging as the fastest-growing market, driven by the rapid expansion of cross-border e-commerce, increasing smartphone penetration, and supportive regulatory initiatives. Europe remains a key market, benefiting from its progressive regulatory environment and the widespread adoption of open banking standards. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth, as local banks and fintechs increasingly invest in digital transformation to tap into new revenue streams and enhance customer experience.



    Component Analysis



    The FX APIs market by component is broadly segmented into Solutions and Services. The solutions segment comprises core FX API platforms that provide functionalities such as real-time currency conversion, rate feeds, trading execution, and transaction management. These solutions are in high demand as financial institutions and corporates seek to automate their FX processes and integrate currency services seamlessly into their digital platforms. The increasing complexity of global transactions and the need for instant, accurate currency data are compelling organizations to invest in robust FX API solutions that offer high reliability, scalability, and security. Vendors

  20. US Options Data Packages for Trading, Research, Education & Sentiment

    • datarade.ai
    Updated Dec 6, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Intrinio (2021). US Options Data Packages for Trading, Research, Education & Sentiment [Dataset]. https://datarade.ai/data-products/us-options-data-packages-for-trading-research-education-s-intrinio
    Explore at:
    Dataset updated
    Dec 6, 2021
    Dataset authored and provided by
    Intrinio
    Area covered
    United States of America
    Description

    We offer three easy-to-understand packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

    Bronze

    The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD options prices sourced from OPRA.

    When you’re ready for launch, it’s a seamless transition to our Silver package for delayed options prices, Greeks and implied volatility, and unusual options activity, plus delayed equity prices.

    • Latest EOD OPRA options prices

    Exchange Fees & Requirements:

    This package requires no paperwork or exchange fees.

    Bronze Benefits:

    • Web API access
    • 300 API calls/minute limit
    • File downloads
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support

    Silver

    The Silver package is ideal for clients that want delayed options data for their platform, or for startups in the development and testing phase. You’ll get 15-minute delayed options data, Greeks, implied volatility, and unusual options activity, plus the latest EOD options prices and delayed equity prices.

    You can easily move up to the Gold package for real-time options and equity prices, additional access methods, and premium support options.

    • 15-minute delayed OPRA options prices, Greeks & IV
    • 15-minute delayed OPRA unusual options activity
    • Latest EOD OPRA options prices
    • 15-minute delayed equity prices
    • Underlying security reference data

    Exchange Fees & Requirements:

    If you subscribe to the Silver package and will not display the data outside of your firm, you’ll need to fill out a simplified exchange agreement and send it back to us. There are no exchange fees and we can provide immediate access to the data.

    If you subscribe to the Silver package and will display the data outside of your firm, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is not required, so there are no variable per user fees.

    Silver Benefits:

    • Assistance with OPRA paperwork
    • Web API access
    • 2,000 API calls/minute limit
    • File downloads
    • Access to third-party datasets via Intrinio API (additional fees required)
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support
    • Concierge customer success team
    • Comarketing & promotional initiatives

    Gold

    The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers real-time options prices, Greeks and implied volatility, and unusual options activity, as well as the latest EOD options prices and real-time equity prices.

    You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

    • Real-time OPRA options prices, Greeks & IV
    • Real-time OPRA unusual options activity
    • Latest EOD OPRA options prices
    • Real-time equity prices
    • Underlying security reference data

    Exchange Fees & Requirements:

    If you subscribe to the Gold package, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is required, with an associated variable per user fee.

    Gold Benefits:

    • Assistance with OPRA paperwork
    • Web API access
    • 2,000 API calls/minute limit
    • WebSocket access (additional fee)
    • Customizable access methods (Snowflake, FTP, etc.)
    • Access to third-party datasets via Intrinio API (additional fees required)
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support
    • Concierge customer success team
    • Comarketing & promotional initiatives
    • Access to engineering team

    Platinum

    Don’t see a package that fits your needs? Our team can design a premium custom package for your business.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Aqib Gul (2022). Currency Data | Business Analysis [Dataset]. https://www.kaggle.com/datasets/akibmir/currency-data-business-analysis
Organization logo

Currency Data | Business Analysis

Reliable Exchange Rates & Currency Conversion for your Business.

Explore at:
zip(4093 bytes)Available download formats
Dataset updated
Oct 1, 2022
Authors
Aqib Gul
Description

The data was collected from Currency Data API which provides a simple REST API with real-time and historical exchange rates for 168 world currencies, delivering currency pairs in universally usable JSON format - compatible with any of your applications. Spot exchange rate data is retrieved from several major forex data providers in real-time, validated, processed and delivered hourly, every 10 minutes, or even within the 60-second market window. Providing the most representative forex market value available ("midpoint" value) for every API request, the Currency Data API API powers currency converters, mobile applications, financial software components and back-office systems all around the world.

The data has been collected from APILayer. They are providing the API's to extract the data with the help of any programming language. I extracted the data with the help of Python using the packages json, requests and pandas. In case you want to cite this source, below is the Citation Aqib Gul. (2022). Currency Data | Business Analysis [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/4271166

Search
Clear search
Close search
Google apps
Main menu