Sample Codes Guide/
What is Financial Data?
How can I access the financial data?
Is our financial data free to use?
What kind of financial data is available?
Who needs Real-Time and Delayed data?
Differences between WebSockets and APIs?
Usage areas of Financial data
Financial data and called market feeds are information about anything that has been traded in the world. Any kind of material, company, coins, currencies, metals, foods, etc could behave as financial data if its trading any place. The value of anything comes from the price anyone offers that would be the price and prices come up to buy and sell.
In the last decade, we meet with something extraordinary they are crypto and using blockchain technology. In modern human history for the first time, we meet with something virtual tradable like our currencies. In the last 5 years NFT, Defi, and much more new terms entered our lives and we are still trying to understand them.
To sum up,Financial data is information about a company, currency, coins, etc. that tells you about its financial health and performance. Important forms of financial data include assets, liabilities, equity, income, expenses, cash flow, and more.
There are couples of ways to access financial data first of all you need to clarify your needs and then use the methodology to understand which data provider will cover your needs. You can easily access any information about everything but when it comes to you would like to build something for commercial usage then you would need a professional market feeds vendor to get professional service.
You can access our Financial Data sets via our APIs and WebSockets. You just need to register on Finage and instantly you would be able to receive your API key and WebSocket address via our documentation you can implement your software, code, or platform easily.
Financial data sets come from thousands of different sources and depending on the source you can receive some of the data sets free some of them with money. But generally, with delayed and limited API, you can get free financial data from market data providers like Finage.
You can easily get your forever free API key and start to use it on your project instantly.
Currently over 300.000 symbols are available in the world regarding our estimations but accessing everything at once is not needed for everybody then you should choose what kind of market data will you need for your project.
Mainly financial data are:
Stocks: Most popular ones in the US, Euronext, Asia, and the Rest of the world. With Stocks, you can get information about companies they are trading in relevant stock exchanges.
Forex: Foreign Exchanges are the most popular and global data set it has countries' currencies like USD, GBP, JPY, and also commodities, metals, precious minerals, oil, and more available with Forex data.
Crypto:In 2008 Bitcoin was founded and become viral in the world. There are thousands of them and lots of new crypto exchanges founded, with crypto data sets you can get all crypto prices, information, volumes, and historical data.
Indices: These represent the large cumulative funds like S&P500, UK100, GER30, and more with Indexes you can get most top 30 to 500 companies' funds together at the same time.
ETFs: A trade exchanged asset is a sort of venture asset and trade exchanged item, for example, they are exchanged on stock trades. ETFs are compared from various perspectives to shared assets, then again ETFs are purchased and sold for the day on stock trades while common assets are purchased and sold dependent on their cost at the day's end.
Financial Statements: These are formal records of the monetary exercises and position of a business, individual, or other substance. Important monetary data is introduced in an organized way and with a straightforward structure.
First of all, you need to understand what is Real-Time and Delayed data? What are the main differences between them? Real-time data means you can get tick level basis data, it means whenever a trade happens you can receive with this data stream mainly to get Real-Time data you need to use WebSocket connections. That method is generally used in trade applications.
On the other hand Delayed data or End of Day Data EOD means you will get 1 minute to hours base delayed data to use generally for information purposes on TV, newspaper and finance websites. It would be cheaper and have low exchange display fees.
These are two different types of connection methods to market feeds. We might say WebSockets are generally used for delivering real-time data without and request when you connect you can receive data continuously but APIs are working request and bring base which means whenever you sent a request to an API it will give you a response that is generally used for historical data.
There are hundreds of ways to use financial data but generally, these are the main user are of market feeds: Algorithmic Trade, Trade Applications, Education, Games, Portfolio Management, Statistical Platforms, Data Science, Bet, Future price estimations, Company evaluations (M&A), Smart Contracts, Node Protocol Operation, Payment Gateway, Digital Banks and every sector use financial data. You can also use financial data to build your dream fintech and SAAS startup.
Please note that all data provided under Finage and on this website, including the prices displayed on the ticker and charts pages, are not necessarily real-time or accurate. They are strictly intended for informational purposes and should not be relied upon for investing or trading decisions. Redistribution of the information displayed on or provided by Finage is strictly prohibited. Please be aware that the data types offered are not sourced directly or indirectly from any exchanges, but rather from over-the-counter, peer-to-peer, and market makers. Therefore, the prices may not be accurate and could differ from the actual market prices. We want to emphasize that we are not liable for any trading or investing losses that you may incur. By using the data, charts, or any related information, you accept all responsibility for any risks involved. Finage will not accept any liability for losses or damages arising from the use of our data or related services. By accessing our website or using our services, all users/visitors are deemed to have accepted these conditions.