Developer Spotlight #12: LeapXpert

Our mission at Intrinio is to power a generation of applications that will fundamentally change the way our broken financial system works. Intrinio’s financial 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 stock API 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.

Perhaps you’re an Investment Manager and you’ve been looking for a better way to manage your clients and their portfolios, or you’re an Investor and you’ve been looking for a more accessible and secure way to receive recommendations and other real-time news from your Investment Manager, or maybe, you’re a Financial Institution and you’ve been looking for a more streamlined and customized platform to manage your team.

That’s where LeapXpert comes in.

Read More

Two Sigma Kaggle Financial Modeling Competition Powered by Intrinio

Our mission at Intrinio is to make financial data affordable and accessible so that developers can build something amazing. Thankfully for developers and data scientists, we’re not the only ones that share this mission.

Two Sigma and Kaggle also believe in the power of accessible data. So, when the opportunity came along to provide financial data for a Two Sigma and Kaggle global data science competition, it was clear that we should participate.

Over the coming months, quality data and powerful tools will collide with a brilliant community, creating the perfect storm for innovation. This unique competition unleashes the power of the crowds to build intelligent predictions via innovative algorithms, encouraging collaboration among some of the brightest minds in data science.

Read More