Get a fresh perspective from guest bloggers who are covering the latest in finance, fintech, and data science. Plus, follow along with step-by-step tutorials and code examples.
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.
Successful trading requires a great sense of analysis, high-quality financial data, and a programming language that makes the data work for you. If you're a Python beginner, join guest blogger Victor Montanez of Stock Market Moves as he shows you how to get started with trading in Python.
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.
Join guest blogger the Dividend Pig as he uses Intrinio data to decipher which dividend growth stocks might perform the best in 2019. Here is his list of high-quality, dividend growth stocks with stable earnings, manageable debt, and cash flow to cover those (hopefully) rising dividends.