Chelsea is the Technical Content Creator at Intrinio. Get to know her and say hi on LinkedIn!
You likely have a lot of options for financial data. We’re often asked how Intrinio differs from other financial data providers, so here’s an overview of how we stack up against large and small data providers and the types of companies that are the best fit for our platform.
In honor of Women’s History Month, you’ve probably seen a lot of companies highlighting the accomplishments of their female employees. While we fully support the achievements of these women, we’ll just come out and say it: it's tiring to always have our gender be the focus.
We often hear prospects (particularly those at startups) insist that they don’t need to pay for fundamental data because they can get financial statements for free from the SEC. In this blog, we’ll outline three reasons why free SEC data doesn’t cut it for any real business need.
Read our Q&A with Spulse (aka Stock Pulse), an app that allows you to easily track thousands of stocks across industries with visual heat maps. We spoke to Arash Ghodoosi, creator of Spulse, about what inspired him to start the company and his partnership with Intrinio.
Intrinio’s goal has always been to provide a one-stop-shop for our clients, and we do this with the help of an extensive network of trusted data partners. Here’s a look into how our data sourcing services work, and what financial data we can provide through our partners.
Many of us simplified this year – eliminating distractions to focus on what was most important. The team at Intrinio applied that mentality to our business, with some great results. From launching options to improving onboarding, here’s an overview of what we accomplished in 2020.
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.
Intrinio offers multiple access methods to help you easily retrieve real-time, delayed, end of day, or historical financial data. Here's a breakdown of the four main access methods that Intrinio offers so you can pick the perfect access tool for your use case.
Real-time market data is a critical component for virtually every investment-focused fintech and financial institution. Here’s a look at what kind of real-time market data Intrinio provides, our primary delivery methods, and why it pays to get real-time stock data from Intrinio.
Real-time options pricing data can be prohibitively expensive. A filtered options data feed eliminates unactionable data to reduce bandwidth up to 80 percent. In this blog, we’ll explain why options data is so expensive and how filtered options delivers more value and less noise.
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.
No one ever said running a startup was easy (definitely not us). We asked some of our customers what financial data challenges they faced while trying to build successful fintech startups. Here are four of the roadblocks they encountered (and how your business can overcome them).
Things are changing at Intrinio…for the better (we promise). Here’s a rundown of what’s changing (our core products, third-party data, and signup process), what’s staying the same (our team, support, and tools), and what it means for you as an existing or prospective Intrinio user.
Intrinio’s fundamental data is powered by our proprietary machine learning technology, which helps us maintain a high level of quality while keeping costs low. Read on to learn how we process fundamentals, what’s included, and how you can start your free trial to test the data.
Read our Q&A with TYKR, an investment platform designed to make investing easier, smarter, and faster. We spoke to Sean Tepper, founder and CEO of TYKR, about what inspired him to start the company, how TYKR stands out among other investing tools, and partnering with Intrinio.
Read our Q&A with Business Valuation Resources, LLC, the leading information provider to the business appraisal market. We spoke to Adam Manson, the Director of Valuation Data at BVR, about the company’s growth, what sets them apart, and why they chose to partner with Intrinio.
Meet Transparent Traders, whose Blackbox leverages sophisticated algorithms and predictive AI to locate accurate day or swing trades. We spoke to founder James Mason about the story behind Transparent Traders and the challenges and successes of supporting individual traders.
Meet FinScience – an investment platform that analyzes signals from the digital ecosystem to help investors assess risk and opportunities. We talked to Angelo Ovidi, Principal at FinScience, about the inspiration behind the company, its biggest challenges, and partnering with Intrinio.
Meet Ziggma Portfolio Manager – a web-based investment portfolio management solution that strives to make investing easy for both experts and beginners. We talked to Ulrich Ebensperger, CEO and co-founder of Ziggma, about the company’s innovative approach to personal investing.
Meet Alquant – a Swiss fintech improving traditional asset management through quantitative methods and AI. Alquant's purpose is to enable “more people to enjoy greater financial prosperity.” We talked to Alquant’s executive team about their goals, challenges, and biggest successes.
Meet SCI – financial advisory services powered by AI and machine learning, run by "elite US military veterans that believe in financial inclusion.” We talked to founder Todd Flores about what inspired him to start SCI, his biggest challenges, and his partnership with Intrinio.
For those of you who are new to working from home, or just looking for a way to stay sane while practicing social distancing, allow us to offer a few tips. Our transition to a fully remote workforce was simple – we’ve had work from home procedures in place since Intrinio’s inception.
The world runs on market data, and getting laggy, incomplete, or unreliable stock prices can cost you in more ways than one. In this blog, we’re covering what kinds of stock price data Intrinio provides, how to access stock price data, how much stock price data costs, and much more.
Can you sort through billions of data points to find exactly the data you’re looking for? Can you connect multiple datasets and run complex queries…all within a few seconds? You can now. Intrinio is excited to announce direct database access to our financial data through Snowflake’s platform.
In keeping with our mission to make data simpler and more useful, Intrinio is now offering direct database access to our business customers through Snowflake's platform. In this webinar, Intrinio CTO Alex Solo highlights Snowflake’s features and performs a technical demo with sample queries.
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.