Web Crawled

Fundamental Analysis with Social Media and Web Data - a Review of 2018
Online and social media content can be used to analyse consumer trends and sentiment. This data can be used to examine fundamental issues that may impact consumer attitudes to a company or brand.
Insights into China Datasets
In this case study, Eagle Alpha investigates China datasets and explores the insights that have been found.
Alternative Data Would Have Helped Call a Bottom in Urban Outfitters
Using web crawl data investors can monitor regular price, markdown and promotional discounting trends across US apparel retail companies. The data provided an early read on improving fundamentals at Urban Outfitters in late 2017 and through 2018.
Luxury Goods Crawl Data Provided an Early Signal of Strong Momentum for Burberry in H1 2018
Using RE Analytics data on Eagle Edge investors can monitor pricing trends by channel and by geography for luxury goods companies. This data would have helped inform investors of the positive fundamentals for Burberry in the first half of 2018.
Interview with NLP Analytics Provider
This vendor uses a combination of Artificial Intelligence and rule-based Natural Language Processing to extract unique insights from large volumes of written and spoken words. The dataset contains a grouping of 400 events into 18 high level categories.
Interview with a Sentiment Data Provider
This vendor provides data and quantitative trading strategies based on emotions in web text data. The company aggregates articles and messages (social media, social trading, blogs, forums, news) in 8 languages.
Interview with a Web Scraped Data Provider
We specialize in ad hoc / one-off web scraping projects as well as data subscriptions and large-scale broad crawls.
Eagle Alpha Data Used To Correctly Predict GoPro’s Improving Market Share and Pricing
Eagle Alpha correctly predicted GoPro results using web crawled and online search data.
Interview with a Web Sourced Data Provider
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.
Web Crawled Data Used to Predict HPQ Results
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.
Testing Datasets for Quality
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.