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