Intrinio is pleased to announce the addition of US and International ETF data feeds to our financial data platform. Users can now access a variety of analytics, statistics, holdings, and metadata for the United States as well as International markets.
Intrinio is excited to announce the release of API Explorer, a free tool that makes it easier to check out the data types available in Intrinio’s Financial Data Marketplace. The API Explorer lets users select the data they would like to see and the companies they would like to see it for, and then outputs that data as well as the Excel, CSV, and API syntax that would be needed to access that data using other tools. This article explains what the API explorer is, how to use it, and why we created it.
Our mission at Intrinio is to power a generation of applications that will fundamentally change the way our broken financial system works. Intrinio data feeds form the basis of large enterprise business reporting applications, Fintech web-apps, mobile apps and even blogs. It’s rewarding to see our product come to life at the hands of today’s most innovative developers. They are building powerful things.
We’re lucky to be in a business where we grow together with our customers, and we’re proud to show off their hard work. Each blog in this series will feature a developer or a startup that has leveraged our financial data feeds to build something incredible.
These are their stories.
Data analysts everywhere know that most of their time is spent gathering, cleaning, and formatting data. The actual analysis and interpreting the results is fun, fast, and easy once the data is structured how you need it. This blog shows how easy Intrinio makes it to complete the nasty part of analysis by using the Intrinio API to pull financial data into R.
Intrinio provides many data feeds via API and if you learn to use the API in conjunction with R, you can spend a lot more of your time running the analysis and analyzing the results and a lot less time on data entry.
If you don’t use R this might not be the blog for you, but if you do, this blog will show you in step by step fashion how to save yourself a lot of money, and make yourself a lot of time, by using the Intrinio API in the R terminal or RStudio.
Update: Feel free to skip ahead to this recently released package that does the hard work for you.