Forex Symbols

Finage offers you more than 1300+ forex data as real-time.

With Finage, you can react to the forex data in Real-Time via WebSocket or unlimited API calls. Also, we offer you a 15-year historical data API.

Commodities Bonds Metals Forex You can view the full FX market coverage with the link given below. https://finage.s3.eu-west-2.amazonaws.com/Finage_FX_Symbol_List.pdf

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.

Cbonds collects and normalizes indices data, offering daily updated and historical data on over 40,000 indices, including macroeconomic indicators, yield curves and spreads, currency markets, stock and funds markets, and commodities. Using the Indices API, you can access an index's holdings, such as its assets, sectors, and weight, as well as basic data on the asset. You can obtain end-of-day, and historical API indicator prices in CSV, XLS, and JSON formats. Cbonds provides a free Indices API for a limited test period of two weeks or for a longer period with a limited number of instruments.

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

Current and historical exchanges rates for 120+ currencies relative to USD provided in bulk and via API. Earliest historical data is 2011-09-31.

Data

Every hour, Currency Bot queries a currency conversion provider (currency.me.uk, formerly the Google Calculator API, and potentially a few others in the near future) collecting all the conversion rates for all currencies one-by-one, then saving them into a formatted API JSON file and pushing it to GitHub for everyone to use as an open-source API.

You can use this data to perform JavaScript currency conversion on the client-side (eg. for a web-app or online store - try money.js) or for back-end processing (eg. databases, analytics, whatever).

It's mirrored on http://openexchangerates.org with friendly Access-Control HTTP headers, so that you can load it in via AJAX with a cross-domain request without worrying about browser security restrictions.

As with all exchange rate data, accuracy can never be guaranteed when you're not paying through the teeth for the service - and when money changes currencies, everyone takes a cut (not to be trusted!) - so it's a good idea to inform people that these are for informational purposes only, something like "Converted prices/exchange rates are for informational purposes only." Feel free to say that rates come form the Open Source Exchange Rates API.

Openness: Not Open

Update: 2012-07-16. Data is not open (non-commercial restrictions). To quote from the the license page:

The Data available through the Service and the Project is released under a non-commercial license. This means that you may not resell or directly profit from, or cause any entity to profit from, direct sale or provision of the Data.

You may use the Data to build services that are informed by it inside commercial applications (for example, a currency conversion widget for shopping cart software, or to provide points of reference for statistical diagrams and graphs).

In a nutshell: You are not permitted to sell or profit directly from the Data, or by providing access to the Data; but you are permitted to use it inside commercial applications, provided that the Data itself is not the product being sold or direct cause of any profit.

Note also that the data does not originate from this project but is sourced from elsewhere. As such it's not clear what exactly its openness is. Again to quote from the license page:

Exchange rates (the "Data") are collected regularly from various free providers and sources (see list, below) in accordance with their respective robots.txt directives (if any) and Terms and Conditions. No laws or legal policies are broken in order to collect the Data. Having obeyed Terms and Conditions and related directives, the Project can and will not be held liable for legal claim or damages caused by collection, or usage by any party, of this Data.

The Fx Group Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Get access FX derivatives pricing analytics from LSEG to analyze FX forwards, FX swaps, non-delivrable forwards, FX options and more. Find out more.

The market observed FX forward spreads cannot be used to value FX products directly. Instead, one needs to construct FX yield curves by bootstrapping FX forward spreads along with interest rate curves. The derived FX yield curves are essential for pricing FX instruments - forecasting FX rates and discounting currency payoffs. FinPricing provides FX yield curves in 36 currencies.

Introducing our comprehensive economic calendar, your ultimate resource for tracking major global economic events and their impact on currency and stock market prices. With a vast array of fields including event name, country, previous and current values, and more, our calendar provides you with essential data to make informed financial decisions. Stay ahead of the curve with our real-time updates, ensuring you have access to the latest information every 15 minutes. With this powerful tool at your fingertips, you can confidently navigate the dynamic world of economic events and seize opportunities for success. Don't miss out on this essential resource for staying informed and making calculated moves in the market.

Extensive and dependable pricing information spanning the entire range of financial markets. Encompassing worldwide coverage from stock exchanges, trading platforms, indicative contributed prices, assessed valuations, expert third-party sources, and our enhanced data offerings. User-friendly request-response, bulk access, and tailored desktop interfaces to meet nearly any organizational or application data need. Worldwide, real-time, delayed streaming, intraday updates, and meticulously curated end-of-day pricing information.

Fx Scraps S A S Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

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.

Browse LSEG's market-leading global Pricing and Market Data for the financial markets, providing the broadest range of cross-asset market and pricing data.

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

Dynamic Currency Conversion API Market Outlook

According to our latest research, the global Dynamic Currency Conversion (DCC) API market size reached USD 1.94 billion in 2024, and is poised to grow at a robust CAGR of 13.2% from 2025 to 2033. By the end of the forecast period, the market is anticipated to reach USD 5.43 billion. This impressive growth is primarily driven by the accelerating globalization of commerce, the surge in international travel, and the rapid adoption of digital payment solutions, which together are fueling the demand for seamless and transparent currency conversion at the point of transaction.

One of the primary growth factors propelling the Dynamic Currency Conversion API market is the exponential rise in cross-border e-commerce transactions. As businesses expand globally and consumers increasingly shop from international online retailers, the need for real-time, transparent currency conversion becomes crucial. DCC APIs enable merchants to offer customers the ability to pay in their preferred currency, thereby enhancing the user experience and reducing cart abandonment rates. This feature not only provides convenience to end-users but also allows businesses to differentiate themselves in a highly competitive digital marketplace. Furthermore, as regulatory frameworks around payment transparency tighten, the adoption of DCC APIs ensures compliance and builds trust with international customers.

Another significant driver is the proliferation of digital payment infrastructures, especially in emerging economies. With the rapid digitization of financial services, both traditional banks and new-age fintech companies are integrating DCC APIs into their platforms to offer value-added services. This integration facilitates smooth and instant currency conversions across various payment channels, including POS terminals, ATMs, and online payment gateways. The increased penetration of smartphones and mobile banking applications further amplifies the reach and utility of DCC APIs, enabling users to transact globally with minimal friction. Additionally, advancements in API technology, such as improved security protocols and real-time data analytics, are making DCC solutions more reliable and attractive for financial institutions and merchants alike.

The dynamic travel and hospitality sector also stands as a major catalyst for the growth of the Dynamic Currency Conversion API market. International travelers expect seamless payment experiences, whether booking hotels, renting cars, or shopping abroad. DCC APIs empower travel operators, hotels, and retailers to offer instant currency conversion at the time of payment, eliminating surprises related to exchange rates and foreign transaction fees. This not only enhances customer satisfaction but also creates new revenue streams for service providers through conversion fees and commissions. The increasing frequency of international business and leisure travel, coupled with the resurgence of tourism post-pandemic, is expected to further boost the adoption of DCC APIs across the globe.

Regionally, North America and Europe remain at the forefront of the Dynamic Currency Conversion API market, owing to their mature payment infrastructures and high volumes of cross-border transactions. However, the Asia Pacific region is emerging as the fastest-growing market, driven by the rapid expansion of digital commerce and increasing international travel. Latin America and the Middle East & Africa are also witnessing steady adoption, supported by the modernization of banking systems and the rise of fintech innovation. The global landscape is thus characterized by both established markets with high transaction volumes and emerging regions with significant growth potential, creating a diverse and dynamic environment for DCC API providers.

Component Analysis

The Dynamic Currency Conversion API market by component is segmented into software and services, each playing a pivotal role in the overall ecosystem. The software segm

The dataset is an extract of the Binance trading platform using the public REST API. It contains data covering the btcusdt historical market data for the year 2022, using the monthly chart frame. It's ideal for analysts who want a quick peek at historical crypto trading data for data exploration.

Context

Bitcoin is the longest running and most well known cryptocurrency, first released as open source in 2009 by the anonymous Satoshi Nakamoto. Bitcoin serves as a decentralized medium of digital exchange, with transactions verified and recorded in a public distributed ledger (the blockchain) without the need for a trusted record keeping authority or central intermediary. Transaction blocks contain a SHA-256 cryptographic hash of previous transaction blocks, and are thus "chained" together, serving as an immutable record of all transactions that have ever occurred. As with any currency/commodity on the market, bitcoin trading and financial instruments soon followed public adoption of bitcoin and continue to grow. Included here is historical bitcoin market data for select bitcoin exchanges where trading takes place. Happy (data) mining!

CSV files for select bitcoin exchanges for the time period of September 2011 to June 2024, with updates of OHLC (Open, High, Low, Close), Volume in BTC and indicated currency, and weighted bitcoin price. Timestamps are in Unix time. Timestamps without any trades or activity have their data fields filled with NaNs. If a timestamp is missing, or if there are jumps, this may be because the exchange (or its API) was down, the exchange (or its API) did not exist, or some other unforeseen technical error in data reporting or gathering. All effort has been made to deduplicate entries and verify the contents are correct and complete to the best of my ability, but obviously trust at your own risk.

Acknowledgements and Inspiration

Bitcoin charts for the data. The various exchange APIs, for making it difficult or unintuitive enough to get OHLC and volume data that I set out on this data scraping project. Satoshi Nakamoto and the novel core concept of the blockchain, as well as its first execution via the bitcoin protocol. I'd also like to thank viewers like you! Can't wait to see what code or insights you all have to share.

ECB reference exchange rate, Canadian dollar, US dollar, Mexican peso, UK pound sterling / Euro

Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

Coal fell to 114.90 USD/T on August 1, 2025, down 0.22% from the previous day. Over the past month, Coal's price has risen 2.77%, but it is still 19.40% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Coal - values, historical data, forecasts and news - updated on August of 2025.