Products

Charts

Resources

Products

Charts

Resources

Back to Blog

by Finage at December 9, 2020 1 MIN READ

Finage News

Finage Tailored Data Solutions - Quality Matters

Access to information to ensure data quality is difficult. That's why companies choose us to reach quality data. In this article, we will explain the importance of data quality/quality data so that your investments are not wasted. Remember that finding quality, reliable data is not an easy thing to do.


What is the importance of Finage data quality?

Poor quality data is equivalent to false information. Therefore, companies that care about the quality of work should work with high-quality data and this is Finage data.

Finage data offers unmissable opportunities for those looking for high-quality data. Finage data provides unmissable opportunities for those looking for high-quality data. The most important of these is to prevent monetary loss with less risk. If cheap data is preferred over quality data, the risk rate will increase in important data such as financial data, market data, tick data.


What is the difficulty of finding quality data?

Data must be processed and made available for use, and data processing methods greatly affect data quality. Manual mapping is still a method used by thousands of people in many parts of the world. However, the margin of error is high in the works to be done by man.

Finage data processing methods have a highly developed structure. This method minimizes the data quality concern of customers. Thus, portfolio management has been successful in minimizing risk and with a price/performance ratio. There are such challenges to achieving success and quality data.


Finage Data Quality:

Finage offers many high-quality APIs to its customers. Such as free stock API, APIs for the stock, finance API, forex API, crypto API in stock API. Our customers who receive data from our API are aware that the Finage data is of high quality and will not cause any problems in the future.

Leaving many challenges behind, Finage does not think its data quality is sufficient and works to improve data quality day by day. It aims to exceed its own success by regularly checking the APIs it offers. 


Back to Blog

Request a consultation

Blog

Impact of AI on Forex Trading: Analyzing Advancements & Integration

Forex along with the entire financial market has seen many changes over the years and a lot of emphasis has been placed on the desire for automation. As you probably figure it out, this is something that Artificial Intelligence (AI) can help out with. When you consider just how prominent technolo

Why Crypto & Blockchain Are So Important in 2024?

In the last three years, there has been a small reduction in the buzz around crypto. This was mostly due to several factors including the pandemic, major scandals, and regulation issues in the crypto business, such as exchange hacks, fraudulent initial coin offerings (ICOs) and governmental restri

Read more

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.

Finage LTD 2024

Copyright