At Intrinio, you only pay for the financial data you use.
Last week we decided to do away with an age-old pricing model in the financial data industry. For years, investors have been constrained within a pricing model that leaves them overpaying for data. On average, you only use 10% of the data from your expensive data subscription. The model doesn't work, and it isn't fair to users of financial data.
Boston, MA and Saint Petersburg, FL (PRWEB)October 23, 2015
FinTech Sandbox, a nonprofit whose mission is to promote entrepreneurship and innovation globally in the financial technology sector, today announced a new data partnership with Intrinio. Intrinio will provide residents of the FinTech Sandbox program with free access to their flexible, dynamic, cross-platform financial data feed.
The team at Intrinio is pleased to announce that we now offer Stock Index data!
In an effort to continue providing our customers with the fastest, most flexible, high-quality financial data, we have officially expanded our data set to include Stock Index data.
The dawn of the API is officially upon us. This new trend in software engineering and system-to-system interaction is being emphasized by many tech though leaders including Intel CEO Brian Krzanich, but a recent Tech Crunch article put it best:
"It’s called API-first design, and it presents a tremendous opportunity for developers who adapt — not to mention a major risk for developers (and companies) who don’t."
The API-centric focus of many of our tech giants (Apple, Google, Intel, IBM, Oracle, Salesforce, Expedia) and the resulting and familiar household names and products (Apple Watch, virtual reality, literally any app that you use...) are a testament to the power and prevalence of APIs.
One of the co-founders of Intrinio, Rachel Carpenter, was recently featured on the Female Entrepreneurs Institute website - a highlight on women in fintech. We've re-posted the article below:
Women in Fintech: Rachel's Story
Bloomberg's Codebase Unsurfaced
The fintech community has circled around a recent post (which is actually a re-blog from a 2006 article by John Sullivan) which unearths the fact that Bloomberg, a multi-billion dollar financial software, data and media company - has built their infrastructure with an archaic programming language called Fortran. Fortran would give most fintech firms nightmares.
For those of you unfamiliar with the rise of computing and programming, Fortran is a programming language that was developed in the 1950's by IBM. It's a powerful language for scientific and numeric computation - but this language is 65 years old. As the author notes:
"Apparently, Bloomberg has been trying to make the jump from Fortran to C++ for some time, but the Fortran codebase and the guys that maintain it are too entrenched. Cripes – in the oil industry we made that transition 15 years ago !"
Starting this fall (2015) Harvard Business School (HBS) professors and students will have free, unlimited access to the Intrinio Data Feed. The Intrinio Data Feed provides students with faster, cheaper, and more flexible access to investment-grade financial data.
Intrinio has recently expanded its financial data coverage to offer data on over 8,000 securities. New functionality offers a breakdown of common and preferred stock (and other securities) within companies when available.
As the only cross-platform provider of financial data, our users can access investment-grade financial data anywhere, anytime on any device. This means you can work on your models on your tablet on the plane, on your laptop in the office, or on your phone on the subway. Our Data Feed is compatible on Apple, Microsoft and Android devices. Each user has unlimited access to our entire financial database. It's our goal to provide you with the flexibility, affordability and transparency that has been missing in the financial data industry.
The Intrinio financial data feed includes: standardized fundamentals, as-reported fundamentals, historical stock prices, 15-minute delayed stock prices, basic company information, economic data, and over 120 ratios and metrics.