On 22 Nov 2016, Eagle Alpha published a note on Lululemon highlighting the following potential implications: “Lululemon has seen same-store sales (SSS) growth decelerate since the beginning of 2016, and Q2 numbers particularly disappointed.
On 5 Dec 2016, we published a note on Finish Line using Google Trends data. The figure below shows that our trends signal pointed to a strong uptrend prior to the August 2016 quarter when the company reported better than expected results.
Satellite data company provides investors with actionable insights on year-over-year traffic trends based on proprietary quantitative analysis of satellite data, retail parking lot imagery, store locations, and climate data.
In this note we highlight a use-case for estimating iPhone sales using data from our trade data partner. Please see below for further use cases of the data.
Dan Loeb, founder of $17 billion AUM Third Point LLC, plans to employ quantamental strategies. His idea is to use “data to support our existing fundamental strategies.”
Numerai is a San Francisco-based hedge fund run by the 29-year old former quant trader Richard Craib. Its strategy, however, is quite different from what other asset managers employ:
Manoj Narang, ex-Tradeworx founder and CEO, has set up a new hedge fund called MANA Partners that is planning to employ quant and alternative data strategies.
Asset managers have been integrating alternative datasets in their processes but they should be highly attentive and avoid sources that contain personally identifiable information.
Since 2011, the Federal Reserve Board has published its survey on the usage of mobile phones and interactions of consumers with financial institutions.
Eagle Alpha has partnered with one of the world's largest transportation and logistics companies that launched a product that enables asset managers to obtain alpha from trade data.
Foursquare predicts the overall 2016 Black Friday foot traffic to be 3.5% down compared to 2015.
Quants have been using various statistical tools for years, but the next-generation algorithms will allow asset managers to combine and analyze different datasets at the same time (e.g. traditional financial, web-crawled and satellite data).
