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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.
Developer or analyst? Real-time or historical data? There are several questions to ask when choosing the right access method for your financial data. Here's a breakdown of the five access methods that Intrinio offers so you can pick the perfect access tool for your use case.
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.
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.
Welcome to part V of the Quant Quickstart series from Analyzing Alpha's Leo Smigel. In this installment, you'll build on your existing strategy by learning how to rank stocks by their price-to-book ratio and selecting the top N stocks that are the cheapest based on this ratio.
Join Stefan Winter of findstox.com as he dissects the last decade of share buybacks by major players within the airline industry and examines why those buybacks were needed to offset dilution during the great financial crisis of 2008, using Intrinio's financial data in R.
Welcome to part IV of the Quant Quickstart series from Analyzing Alpha's Leo Smigel. In this installment, you'll learn how to complement price data with fundamentals from financial statements that publicly traded companies file with the SEC, all through the Intrinio Sandbox.
Welcome to part III of the Quant Quickstart series from Analyzing Alpha's Leo Smigel. In this installment, you'll learn how to create a simple mean reversion strategy that you’ll be able to build on to develop your own profitable trading strategies, using data from the Intrinio Sandbox.
Welcome to part II of the Quant Quickstart series from Analyzing Alpha's Leo Smigel. In our previous post, we discussed how to backtest a simple crossover strategy for a single stock. In this post, we’re going to build on this framework and graph the RSI of multiple securities.
Welcome to part I of the Quant Quickstart series from Analyzing Alpha's Leo Smigel. The goal of this article is to enable traders to start backtesting their strategies as quickly as possible. We’ll demonstrate an easy-to-follow backtest trading Apple using Intrinio data and Backtrader.