Discover what’s happening in the world of finance, learn about the complex technology we use to deliver financial data, and more.
We identified trending beliefs and values from S&P 500 companies using our propriety alternative data engine, Thea, which processes data sourced from recent SEC filings.
Unless you’re a massive institution, you’ll likely face this dilemma: work with a big provider that doesn’t treat you like a priority, or a small provider without the resources to provide responsive support. In part four of our series, we’ll cover how Intrinio changes the game as a data partner.
Developers are shaping the future of finance from within fintechs and established financial institutions, but there are still so few resources for them when it comes to financial data. In this blog, we’ll discuss how Intrinio provides developer-first resources and tools.
Knowing where your provider gets their financial data is critical to developing confidence in your data. In part two of this blog series, we’ll cover the problems that can arise from a lack of transparency in data sourcing and explain where and how Intrinio gathers its data.
Data quality is, to use the technical term, pretty dang difficult. It's the main reason why free or incredibly cheap data sources don't cut it. In this blog, we’re going to share why data quality matters, why it’s so difficult, and how Intrinio is tackling it for our customers.
XBRL represents a massive shift in financial reporting, and it impacts what data you can access, how accurate that data is, and how difficult and expensive retrieving it will be for your company. We’ve put together a simple primer to explain what XBRL is and what it means for you.
Publicly traded companies have been required to submit digital financial filings to the SEC since 2009. Banks file digitally with the FDIC, and in Singapore public, private, and all government agencies file digitally. But here in the US, we are painfully behind the times.
Data scraping has become an integral part of doing business online, but it can live in a legal and ethical gray area. If you’re thinking about scraping financial data for personal or business use, here’s what you need to know about what’s accepted, what’s discouraged, and what’s illegal.
When the success of your projects (and your job) is dependent on a foundation of reliable, high-quality data, it’s important to get it right. Fortunately, quality data is our raison d’être. Find out how we save data scientists time, money, and headaches with our data science tools.
Last week, thousands of fintech developers scrambled to find a Yahoo Finance API replacement. Individual investors, startups, and even fortune 500 companies had taken advantage of this free service to obtain financial data like stock prices for their websites, intranets, and applications.