01 ‐ Project Overview - IMGitH/dvmax GitHub Wiki

Purpose

Build a machine learning engine that selects a basket of non-U.S. dividend-paying stocks with:

  • High net dividend yield
  • Low risk of dividend cuts
  • Stable financial and price profiles
  • Minimal U.S. estate tax exposure

Goals

  • Publish a working E2E ML solution (learning + showcase)
  • Generate meaningful portfolio profits (dividend income + total return)
  • Lay the groundwork for a monetizable product

Core Principles

  • Predict probability of dividend cut within 12 months (classification)
  • Invest only in stocks with low cut risk + attractive adjusted yield
  • Focus on non-U.S. stocks, via direct holdings or UCITS ETFs
  • Emphasize stability, explainability, and practical trading constraints

Approach Summary

  • Use global stock fundamentals + market performance + macro + sector
  • Prioritize dividend yield + safety + valuation sanity
  • Periodic rebalancing, minimal turnover