extremely detailed picture of demand for key products and services. From these time series data, Random Walk's algorithms scan dozens of signals to detect inflection points in demand for discretionary brands. Random Walk uses multiple sources and signals to create an ensemble of trends. Their algorithms incorporate factors such as which websites consumers are visiting, what keywords they might search for, what products they are tweeting about, which product pictures they are posting on Instagram and which posts,pages they are liking on Facebook.

Unlike traditional equity research, Random Walk does not have buy sell hold recommendations, banking relationships, or require management's time enabling an unbiased picture to be presented without conflict.

Random Walk was started in 2011 by several former sell side analysts with more than 15 years of Wall Street experience. Its team is comprised of computer scientists, developers, and forensic accountants as opposed to traders and salesmen.