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:
Besides being a fun word to say (go ahead, try it), what purpose do widgets serve? Read on to learn more about the world of widgets – what they are, which one is right for your needs, and where you can try widgets out for free.
This weekend, IEX cut off access to its free financial data API. This affected the individual investors, developers, and others who had taken advantage of this free service to obtain financial data like stock prices for their websites, intranets, and analytics applications.
Intrinio is pleased to announce the addition of US and International ETF data feeds to our financial data platform. Users can now access a variety of analytics, statistics, holdings, and metadata for the United States as well as International markets.
If you are looking for real time stock prices, its important to get some clarity about what a stock price even is. This article explains why there can be multiple prices for the same stock at the same time, how those prices converge, and provides a guide for deciding which stock price is the right price for different use cases.
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 analytics applications.
Yahoo Probably Removed the Finance API for Financial Reasons
Yahoo hasn’t disclosed why they canceled the API but we can be confident that money had everything to do with it. Yahoo is not a stock exchange nor is it a data provider. This means that Yahoo has to buy its stock data from at least one, if not several, data providers. When Yahoo contracted with these parties to obtain this data, their agreements included “redistribution rights.”
A new data feed in the Intrinio Financial Data Marketplace pairs Wall Street Horizon’s exceptionally accurate corporate events calendar with Intrinio’s extraordinarily intuitive access methods. Users can pull data points such as earnings dates, dividend dates, and conference call dates in formats such as Excel and API. This article explains what data is included in the Wall Street Horizon Corporate Events Data Feed, how to subscribe to that data, and how to access that data in Excel, CSV, or API formats.
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.
When you’re managing a portfolio of stocks, it’s important to stay up to date with company news. Has Apple, Inc. announced a new version of the iPhone? Is the management shifting at Exxon Mobil? Are new regulations affecting Tesla’s future performance? Easy access to these updates via a News API helps you keep a pulse not only on the company and its performance, but on the general media and public sentiment.
This article explains how to pull the latest news on the stocks you follow via the Intrinio News API.
Intrinio recently partnered with Exchange Data International to provide EOD data from exchanges around the world. This brings the total number of end of day stock price feeds available in Intrinio’s marketplace to more than 160. This article provides information about what is included in each feed and how Intrinio identifies stocks across so many exchanges. If you are looking for specific examples in Excel or API format, this article is a great resource.
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.
Stock Valuation – The Art and the Science
Warren Buffett is one of the most famous investors of our time and is a stock valuation pro. He learned most of what he knows from Benjamin Graham – the KING of Value Investing.
“Long ago, Ben Graham taught me that price is what you pay, and value is what you get. Whether we’re talking about socks or stocks, I like buying quality merchandise when it is marked down.” – Warren Buffett
Stock valuation involves analyzing a company from many different angles to determine an intrinsic value. This intrinsic value will either be above or below the current stock price. If the value you arrive at is above the stock price – buy it! It’s cheap. If the value is below the stock price- sell it! It’s expensive.
Not everyone is a fan of value investing; it’s more of a long term approach. Hundreds of thousands of traders around the world pay little attention to the value of a stock, instead raking in big bucks betting on fluctuations in the price of the stock. Day trading, however, is incredibly risky and very few make money at it in the long run. To make an informed investment decision it’s wise to analyze the value of the stock before buying.
Stock valuation is as much an art as it is a science. Running a discounted cash flow is somewhat of a science. Deciding which assumptions to put into that model – that is an art. Looking back over historical earnings and performance is a science. Modeling future sales based on industry knowledge and macroeconomic forecasts – that is an art.
There are lots of tools publicly available to assist you in performing stock valuation. We’ve developed two free tools that take care of the science for you, allowing you to focus fully on the art.
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
One of our most frequently requested data types is international stock prices. Exchange Data International (EDI) is a trusted source for EOD stock prices from around the globe as well as over the counter (OTC) and corporate actions data. We are pleased to announce that EDI data will now be available in the Intrinio Financial Data Marketplace.
Pairing EDI’s much sought after data types with Intrinio’s platform will provide Intrinio’s users with a crucial data source and make it easier than ever to access EDI data. We launched the marketplace to make financial data affordable and easy to access – partnering with EDI allows us to expand that vision.
This article explains which EDI data feeds will be available, how much they cost, and how to access them in Excel or API formats. If you are interested in how Intrinio uses the Security Master to identify stocks across international exchanges, this article is a good resource.
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 provides many different data feeds and applications in its Fintech marketplace and this blog explains how to use three of those apps to analyze stocks using the US Fundamentals and Stock Prices. Intrinio makes it possible to screen for stocks based on set parameters, quickly run a DCF on those companies, and then dig into the details for those that look under valued- all for a portion of the price the other guys charge. This article will show you how.
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
Intrinio launched a fintech marketplace this week and this blog explains why Intrinio is making this change, how the user experience will be the same, and how it will be different.
Why a Financial Data Marketplace?
Intrinio’s mission is to help investors save money and make time so they can live more meaningful lives. Investors need innovative applications that make data entry and analysis easier so they can spend more time conducting research, generating insights, and questioning assumptions.
The challenge developers face in creating these applications is getting data- traditional data providers make financial data for app development expensive and hard to use.