Eagle Alpha correctly predicted GoPro results using web crawled and online search data.
JetTrack used its corporate aviation dataset to uncover meetings between Amazon and Whole Foods that occurred before their $13.7 billion deal was announced.
This company creates datasets from a broad array of public online sources, capturing ephemeral information on the products, operating markets and labor markets of over 400,000 global companies across sectors.
We set out to create a data product for the mobile telecoms industry: helping operators understand how their own and their competitor’s networks perform for their end-customers.
It is highlighted that GSAM receives credit card data on a monthly basis with a six-day lag giving it a potential informational advantage compared to only using quarterly corporate earnings announcements.
In March 2018 Eagle Alpha highlighted lack of consumer interest in the launch of Samsung’s flagship Galaxy S9 handset using data from its Web Queries tool and Google Trends.
This data can provide an insight into long-term trends, as well as the most recent trading performance, and is based on metrics such as average selling price (ASP) and share of “bestselling” products in a category, as ranked by the website provider.
Eagle Alpha correctly predicted TJX results using consumer transaction and online search data.
With these insights, analysts can benchmark performance against competitors, reveal competitors' online strategies, discover new opportunities, identify emerging trends and understand consumer intent and journey.
The vendor tracks every company operating in the U.S. and their locations, accounting for over 95% of U.S. employment.
This company delivers data and analytics based on purchase behaviour from a panel of 2.5 million+ US shoppers.
This dataset is generated by the XYME framework using a machine learning model ensemble containing more than 200,000 models (approximately 500 models for each ticker).
