If you’ve ever shopped at Costco, you know that some things are just better in bulk.
We serve tons of developers, analysts, and investors who were looking for massive amounts of historical data to backtest their theories and train machine learning algorithms, among other uses. That’s why we launched the Bulk Downloads Marketplace – historical data available for a one-time purchase, without an ongoing subscription.
Time is limited. How much of yours is spent acquiring, processing, and cleaning data?
The answer is probably “too much.” When the success of your projects (and by extension, 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. Read on to find out how we save data scientists time, money, and headaches with our data science tools.
Core US stock market data is necessary for a huge range of different projects. Quants use it to analyze companies, developers train their algorithms, companies keep their investors informed, and news organizations and bloggers find insights for their financial content.
But, with so many options available for stock market data, where do you start? Here are a few things you should look out for to find the best fit for your needs:
I think almost all of us use Netflix (even if we use someone else’s account) pretty often. The company has become so big that the name Netflix has even become a verb in pop culture. It has movies, TV, and its own original programming. Despite all these positives, many are concerned about the future of the company. The company has burned through $13 billion since 2011, while also carrying around a large amount of debt. This leaves us with the question, what does the future of Netflix look like?
A dividend stock is a great option if you’re looking to diversify your overall investment portfolio and reduce risk while making your money work for you. Most stocks will pay out their dividends quarterly, with some raising the payout amount over time.
While there are a variety of ways to keep track of your dividend stock, in this post, we’ll focus on Excel. Specifically, we’re going to focus on utilizing Intrinio’s free Excel Add-In, which allows you to pull in a variety of dividend records such as the amount of latest dividend, the dividend yield, dividend payout ratio, and more.
Intrinio’s mission is to make financial data affordable and accessible. If you need financial data, our hope is that you are looking for data that is inexpensive and easy to work with because we are spending all of our time building a platform that meets those requirements. This article explains why we believe affordability and accessibility are critical and the unique features of the Intrinio platform that make it cheap and easy to get the data you need.
Intrinio has been growing like crazy and this article is designed to give existing users an update on the changes. We’ve grown significantly as a company, added new data sets, released some helpful new tools, and have some big plans for the coming months. Read on to get the scoop.
API stands for application programming interface and if that sounds like gibberish, you are already being left in the dust by the competition. APIs allow developers to build connections between their own applications and other applications, enabling data sources to interact. In the past, businesses that wanted their software systems to interact had to purchase expensive ERP software and implement cumbersome, time consuming solutions.
APIs make it easy and cheap for business tools to “talk” to each other, powering data driven decision making in real time. Businesses that use APIs will thrive, and those that don’t will be too slow to keep up.
Accessing Intrinio data for individual US equities is affordable, easy, and extremely valuable when analyzing investments. What can be even more powerful is accessing that data on an industry-wide or sector-wide level. We developed a Sector & Industry API so investors and developers can instantly access data to generate lucrative insights for different segments of the market. You can check out the data feed here.
If you want to find out what Tesla’s market capitalization was over the past ten years, and you want to access that data in Excel, it seems like it should be cheap and straightforward to do so. If you’re a developer and you’re looking to get the Oil Industry’s performance charted on your website, it seems like accessing that data should be a no brainer. Thanks to a technology called XBRL, this has become easier over the past several years.
The truth is, there is a whole world operating behind the scenes of financial data feeds. There are professionals, companies, industries, governmental bodies, and hundreds of thousands of employees working to deliver your historical market cap.
Outside of the Intrinio Financial Data Marketplace there aren’t many options for accessing this data. The options that do exist are prohibitively expensive for two reasons.
- Financial data in its raw form requires normalization
- Current normalization methods are manual and outdated
The Intrinio Financial Data Marketplace was designed to make financial data affordable and easy to access. We are pleased to announce the expansion of that vision with the addition of a new data partner, Zacks, whose analyst estimates data will now be available in the marketplace.
Zacks forward and historical estimates of both EPS and revenue are a trusted source of information in the investment community. Intrinio’s platform features disruptively affordable data feeds accessible for financial analysts in Excel and fintech developers via an API. Pairing Zacks analyst estimates with Intrinio’s platform will provide Intrinio’s users with a crucial data source and make it easier than ever to access Zacks data.
This article explains which Zacks data feeds will be available, how much they cost, and how to access them in Excel or API formats.
Intrinio is on a mission to provide financial data in a way that is flexible and affordable so that fintech developers can build the next generation of game changing applications for investors. Our ecosystem includes the APIs developers need to build those applications as well as the applications themselves, allowing developers and investors to come together in the same marketplace.
What follows is a quick introduction to the resources and steps both types of users will need to take to get started with Intrinio.
What is the Intrinio Financial Data Marketplace?
Cutting through the marketing jargon here is what Intrinio provides. We provide a bunch of different data feeds that allow users to access many different kinds of financial data. The marketplace lets users sign up for the data they need and the pricing plan that fits their needs. You can browse the data feeds Intrinio provides and see the prices, terms, and limits for those products in the Marketplace.
Signing up for Intrinio is free and easy – all we require is an email and a password, no credit card, no spam. You can sign up at www.intrinio.com/signup. This will give you access to your account page where you will see your subscriptions as well as tutorials for accessing Intrinio data through an Excel add-in or directly through an API.
The Account Page
We’ve been hard at work with Microsoft…
Team Intrinio wanted to build a tool leveraging our data that would enable our users and Excel users around the world to instantly screen US equities – without ever having to leave the Excel platform.
We’re pleased to have worked alongside Microsoft to deliver our customers with an innovative tool that will help save you time and provide better insights. We constantly strive to leverage Intrinio data into new tools to enhance your experience.
This stock screener is the first of its kind – no longer do you need to tinker with outdated and inflexible screeners on the web, only to have to export to Excel and re-organize the outputs.
Intrinio Excel add-in Now Supports Excel 2016 for Mac
We know we’re late on this one – but we’ve been busy bees!
The Intrinio Data Feed can now be accessed via Microsoft Excel 2016 on Mac operating systems.
Intrinio offers the most affordable financial data feed on the market, and it’s the only data feed compatible on both Mac and Windows operating systems. We strive for unprecidented flexibility, cross-platform compatibility, instant customer support, and prices that make you do a double take.
We want to keep our customers looking their best.
So, we made an upgrade to help you be more efficient.
Introducing: Dimensional Calls
Your life just got a whole lot easier.
We’ve unleashed the power of aggregating industry statistics so that you can efficiently perform top down analysis. This data is based on company reported Standard Industrial Classification numbers. These indices are updated monthly, reflecting all newly reported filings.
An Intrinio SIC Index is created with the following format: $SIC.XXXX.
-> returns aggregated industry statistics for the Oil & Gas Field Services
Historical Data: Query any data point as a historical time series.
The same data points, but now with functionality that lets you slice and dice the information historically.
Now, in addition to analyzing our wealth of financial data, you can analyze historical time series data to uncover trends, analyze patterns, chart, graph and display historical data, and project the future.
Combined with the rest of our data offering (stock prices, fundamentals, metrics, ratios, earnings estimates, news, economic data etc.), Intrinio users have comprehensive access to the information they need to make informed, intelligent investment decisions – without breaking the bank.
Introducing: Stock News
Intrinio now enables its users to pull in stock news on the companies they follow.
By entering in one simple formula, our users can return the most recent news stories for every company in our coverage (any US publicly traded company).
This exciting expansion of our dataset enables you to stay up to date with trending topics and key events that are crucial to your investments, your portfolio, your app, your website, your blog or your customers.
Introducing: Daily/Weekly/Monthly/Quarterly/Yearly Historical Price Data
We’ve officially added a new frequency parameter to our stock price data. The Intrinio Financial Data Feed now offers Daily, Weekly, Monthly, Quarterly, and Yearly Historical Stock Price Data. You can easily and flexibly pull this data into Microsoft Excel or any platform using our API. Our pricing is one-of-a-kind, enabling you to get started with a free trial, if you like what you see, easily upgrade to a paid plan, and still ONLY pay for the data you use.
A financial data feed without restrictions.
At Intrinio, our Data Feed is Data Freed. We provide a wealth of financial data to users, but we do it differently than you’ve ever experienced. Whether you’re an individual investor, a professional investor, a student, a startup, or a developer, our Data Feed gives you a degree of flexibility that was never possible before. We’re constantly breaking down barriers for you and making your experience more and more seamless.
Our goal? To free you from data feed restrictions that have held you back so you can be as efficient and productive as possible.
The World’s First Financial Data Feed With No Redistribution Fees
With the unveiling of a new pricing model, Intrinio has not just opened a new door for app developers – we’ve knocked down the walls of an old system that left them paying steep fees for the ability to feed data into their creations.
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 reposted 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 1950s 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 fall 2015, Harvard Business School (HBS) professors and students will have free, unlimited access to the Intrinio financial data platform. Intrinio financial data 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.
This short tutorial is designed to walk you through each step of valuing a company on the Intrinio Valuation Webapp.
The Valuation platform enables you to scenario test the value of companies under different circumstances. For example, you could run and save three different valuations that show the value of a company as a base case, bearish/downside or bullish/upside.
In this tutorial, we’re going to calculate the intrinsic value of Tiffany & Co. (NYSE: TIF) under the scenario of a recession in 2016.
If you haven’t heard of Fintech in the past few years, you’re probably living in a Faraday cage. Fintech companies use technology to disrupt existing financial services. This entrepreneurial industry has sprung from disgruntled financial employees and even large banks themselves, bleeding into an industry that has historically resisted change, technology, and innovation. It encompasses everything from payments to trading, and there is no question that Fintech innovations are stirring up controversy.
It used to cost (at a minimum) between $200 and $500 to execute a trade in the stock market. Today, due to the rise of companies like RobinHood, you can execute a trade for free. Transferring money overseas used to be an arduous and expensive process, taking weeks to execute. Now companies like TransferWise are performing these transactions for up to 10x less than the typical bank. Robo-advisors like Wealthfront are eliminating the need altogether (especially among millennials) for a financial advisor.
As value investors, we tend to live in the domain of spreadsheets. Value investing is the strategy of finding stocks that are undervalued relative to their intrinsic value, or inherent worth. The intrinsic value of a stock is the the sum of all cash flows that a company will generate in its perpetual existence, discounted at the weighted expected return of the debt and equity investors in the company. Traditionally, investors have used Microsoft Excel to build complex discounted cash flow (DCF) models to estimate the cash flows generated by the company and a weighted average cost of capital (WACC) model for estimating the weighted expected return for the firm. This practice is one of the primary activities of any financial/investment analyst and there is even a Financial Modeling World Championship to showcase the best of the best at this art.
While there are many reasons to build complex financial models in Excel, the intrinsic value of a company’s stock can be calculated much more simplistically using a standardized system. This is what we’ve created at Intrinio. Our web application brings the flexibility of Excel onto the web without the complexity of a having to manage a spreadsheet filled with calculations or bad data. This makes it very easy for performing scenario testing, value driver analysis, or sensitivity testing. Merging this with an easy-to-use user interface, Valuation is exactly what value investors need to bring their investment analysis to the next level.
We have been hard at work over the past several months building the first investing community of its kind – a complete ecosystem for financial data and investment analysis. Intrinio features a robust and transparent Valuation WebApp, a comprehensive API with Excel Add-in, and a collaborative platform for discussing investment prospects.
While we still have much work to do, we are making our beta app available for testing and feedback. You have the opportunity to tell us exactly what you want us to build. This includes everything from views of certain data in the Webapp, to data sets delivered by the API/Excel Add-in, to companies you would like for us to cover.
We are in the process of writing documentation for everything, specifically the API and Excel Add-in, so in the mean time, please feel free to ask any questions in the Forum. We will do our best to respond within a few hours.
Thanks for the interest in Intrinio. We are very excited for what the next several months will bring.