Accelerating growth in active job listings and Google search data were used to correctly call improving momentum for Palo Alto Networks.
Eagle Alpha's GrubHub predictive model, based on email receipt data from our data partner, accurately forecast GrubHub’s Q3 2017 revenue beat.
We arranged this interview with a provider of satellite imagery data to learn more about potential applications.
We arranged this interview with a provider of geolocation data to learn more about potential applications. The company is connecting real-world signals, from sensors to location data at scale, in one platform.
Accelerating growth in active job listings and Google search data were used to correctly call improving momentum for HubSpot.
A special thanks to Eagle Alpha advisor Gene Eskster whose input was invaluable.
Negative growth in active job listings and Google search data were used to correctly call worsening momentum for Chipotle.
We arranged this interview with a provider of in-store and street-level location data to learn more about potential applications.
We arranged this interview with a provider of email receipt data to learn more about potential applications. The data is gathered from aggregated purchase receipts extracted from the US-based panel of email and assistant mobile app users’ mailboxes.
Trade nowcasting indicators provide valuable insights into international trade and industrial production.
Over the last 2 weeks Eagle Alpha has presented at 7 alternative data events worldwide. The events were in London (Citi and Accenture/Investit events), Charleston (Citi equity derivatives conference), Hong Kong (BoA and Factset events) and Singapore (Factset and Quantcon).
Cross-sectional analysis of our partner dataset, performed by J.P. Morgan, generated annualized returns of 16.2% and a Sharpe ratio of 1.13.
