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).
This data can provide insight into sales and sales by square foot estimates (including traffic by individual location), separate store and parking lot traffic, dwell times, and allows for forecasting.
The company develops geospatial data analytics to help its clients unlock societal and economic trends at a global scale.
Using web crawled and online search data, Eagle Alpha correctly predicted the GoPro results.
Sixteen asset management firms joined this meeting held on April 24th 2018 in New York City. Most vendors of alternative datasets do not currently map their datasets to financial instruments.
Using online search data, Eagle Alpha correctly predicted the UAA results.
Citi Global Perspectives & Solutions published a follow-up report on ePrivacy and Data Protection (the first report was published in March 2017) highlighting how both companies and consumers are prepared for the General Data Protection Regulation, or GDPR.
Thirteen asset management firms joined this online meeting held on April 10th 2018.
On April 5th 2018, Eagle Alpha organized a webinar regarding ESG and alternative data. Eagle Alpha’s Director of Business Development, Niall Hurley, delivered the opening presentation which was followed by presentations from three different ESG data vendors and one dedicated ESG fund manager.
Using online search data, Eagle Alpha's Data Analytics team correctly predicted Williams Sonoma results.
Using web crawled and online search data, Eagle Alpha correctly predicted the HPQ results.
