Entity
  • Euclidean Technologies

    Created in 2008


  • To investigate (B)
    Some signals may appear as inconsistent with a regular activity
  • Social networks

    1,002 402
  • Activities

  • Technologies

  • Entity types

  • Location

    701 5th Ave Suite 4200, Seattle, WA 98104, USA

    Seattle

    United States of America

  • Employees

    Scale: 2-10

    Estimated: 2

  • Engaged catalyst

    0
    0 0
  • Added in Motherbase

    5 years, 2 months ago
Description
  • Value proposition

    Based in Seattle Washington, we use machine learning to seek history’s best lessons for evaluating individual companies as potential long-term investments. The lessons we found to be fruitful involve buying good companies when they are offered at very low prices. By embedding these lessons into a systematic investment process, we aspire to protect our investors against unproductive behavioral biases.

    Our founders John Alberg and Michael Seckler pursued this mission because they had their own money to invest after building a company over a decade and selling it to a Fortune 500 company. The two entrepreneurs wanted an alternative to the short-term focus, risks of leverage, misaligned incentives, and reliance on qualitative analysis that in various combinations accompany many of today’s asset management options.

    Learn more about Euclidean’s founders and unique investment strategy by visiting our website, and reading our letters to investors.

    Value Investing, Machine Learning, and Contrarian Investing

Catalyst interactions
Catalyst TypeTweets Articles
No interactions
Social network dynamics
Similar entities
BETA
Loading...
Loading...