K Score - US - Non Financial

Overview

K Score is a predictive equity rating powered by machine learning (ML) technologies. Kavout takes in vast and diverse datasets including fundamentals, pricing, technical indicators, and alternative data, and then uses a combination of statistical analysis and ML techniques with ranking algorithms to deliver an actionable equity rating score with values ranging from 1-to-9.

A higher K Score (7-9) assigned to a stock indicates a higher probability of outperformance, whereas a lower K Score (1-3) indicates a lower probability of outperformance in the next month.

Performance Showcase

To test the performance of the K Score, we constructed two portfolios – Top Picks and Bottom Picks. The Top Picks portfolio is comprised all the tradable stock equities on the US stock exchanges with a K Score of 9, while the Bottom Picks portfolio have stocks in K Score of 1.

Cumulative Return of Portfolios (2012-01-03 to 2024-11-08)

Data Highlights

  1. For quantitative users, overlay K Score as a signal in investment models.
  2. Generate new equity long/short ideas that weren't on your radar before, or validate research as a screening parameter.
  3. Mitigate risk in portfolio construction by avoiding stocks with low K scores (1-3).
Disclaimer: The information provided here and on kavout.com site is for general informational purposes only. It does not constitute investment advice, financial advice, trading advice, or any other sort of advice. Kavout does not recommend that any investment decision be made based on this information. You are solely responsible for your own investment decisions. Please conduct your own research and consult with qualified financial advisors before making any investment. Kavout and its partners are participants in a number of affiliate advertising programs. As an Amazon Associate, Kavout or its partners earn from qualifying purchases from affiliate links. We also participate in other affiliate and advertising programs that provide a means for us to earn advertising fees by advertising and linking to third-party websites.