alpha-DNA mines near-real-time online behavior to create a unique digital footprint for each public company. Drawing on numerous commercially and publicly available data sources, our proprietary algorithms can detect changes in consumer demand which serve as a proxy for company revenues.
We model these digital trajectories against historical and current earnings projections to discern patterns in actual post-announcement price performance.
This complex, autonomous process allows us to answer a simple question: will a company’s next quarterly earnings surprise the market? Along with a confidence factor on magnitude of the surprise.