Universe Portfolios: Model Books Built From the Full Universe

Why Model Portfolios Are a Research Surface

Before you allocate real capital to a strategy, you want to see how the strategy behaves as a full portfolio — not just as individual names. Does a high-quality-growth book survive a correction better than a high-momentum book? How does a low-vol book behave in a trending tape? A set of evidence-based model portfolios, backtested consistently on the full public universe, answers those questions at glance and lets you study live behavior in parallel with your own book.

What the Universe Portfolios Card Shows

The Universe Portfolios card hosts a library of model portfolios: quality-growth (top-quartile ROE + revenue growth), deep-value (bottom-quartile EV/Revenue + reasonable quality), low-vol (lowest 90d realized vol + positive revisions), high-momentum (top-decile 12m-minus-1 returns), contrarian rebound (largest 6m drawdowns with improving credibility), and several factor blends. Each model shows current composition, YTD / 1y / 3y / 5y returns, realized vol, max drawdown, Sharpe, and regime-conditional performance (how it did in low-vol uptrend vs high-vol correction vs range-bound). Side-by-side compare lets you stack up to 4 models.

Reading the Models

Three uses are the most productive. First, use the models as explicit benchmarks for your book — if your book is supposed to be quality-growth but underperforms the quality-growth model by 400 bps/yr, something in your execution isn't matching the stated style. Second, study regime-conditional behavior — a model with a 1.2 Sharpe on average but 0.3 Sharpe in high-vol corrections tells you the tail risk the headline number hides; useful before you adopt a strategy you've only seen in one regime. Third, diff the compositions monthly — watching how the quality-growth model rotates each month is an efficient way to see where the underlying factor is moving, and often generates shortlist ideas for your own research.

Where It Fits

Pair with Universe Browser for ad-hoc screens, Universe Trends for the factor-rotation context, and Portfolio Optimizer to build your own optimized book from a selected model's universe.

Open the Universe Portfolios card → /app/universe