CrowdThnk aggregates disparate, unstructured data sets such as institutional investor reports, surveys, 13Fs and custodian reports to gather a complete picture of the market consensus positioning of a stock. CrowdThnk quantifies positioning scores on a simple scale of 0 to 10, representing levels of consensus positioning crowdedness.

CrowdThnk utilizes cutting-edge Big Data technology combined with Machine Learning Algorithms to process and analyze our crowdsourced datasets, truly harnessing the power behind the Wisdom of the Crowds. This revolutionary approach accurately measures consensus positioning data, providing a valuable market insight on a previously abstract data point.

CrowdThnk publishes weekly stock market positioning scores for over 4000 global companies, providing a method for investors to quantify what has historically been an abstract and difficult-to-measure metric. CrowdThnk then assigns probabilities on future price movements over discrete time periods, based on historical price patterns with respect to positioning scores.