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.
On May 15th, 2018, Eagle Alpha organized an online meeting attended by twenty-one asset management firms to discuss the topic of testing alternative datasets for quality.
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).
Using web crawled and online search data, Eagle Alpha correctly predicted the GoPro results.
Using web crawled and online search data, Eagle Alpha correctly predicted the HPQ results.
We arranged this interview with a provider of mobile & technology data. The vendor tracks more than 3,000 models and 500 brands in 40 countries.
Eagle Alpha hosted events in NYC (April 26th) and London (July 26th) to discuss the legal considerations of alternative data which were attended by more than 170 people in total.
In a recent court ruling, LinkedIn was ordered to allow hiQ Labs access public profiles posted on the social media site. The legal battle started in May with LinkedIn issuing a cease and desist letter asking hiQ Labs to stop data scraping.
hiQ Labs is a tech startup that collects public LinkedIn profiles and sells analytics to companies wishing to improve management of their workforces (e.g. reduce turnover, increase organizational agility).
Crawled data is one of the most widely used categories of alternative data. It is relatively inexpensive to collect and can often provide a strong signal for consumer related companies.
Eagle Alpha Web Queries is a query based tool that enables clients to obtain analytics on over 90 million web sources including: blogs, image and video sites, forums, review sites, social media and news sites. It is especially useful when analyzing consumer reactions to new releases.
On April 5th 2017, Eagle Alpha published a research note analyzing the launch of the Samsung Galaxy S8. We used Web Queries/Twitter, search data and online pricing to give a read on initial reaction to the product, and some early indication on likely success.
