There is a temptation in sector investing to confuse activity with insight. If a ranking changes every day, the instinct is to trade every day. If leadership shifts, the instinct is to chase it. And if a model produces a new signal, the assumption is that the portfolio should immediately respond. After 2 years of bringing you the Elev8 and Top3 sector models on a monthly basis, we are shifting gears based on the research we’ve cultivated over our time operating.
The new TopN Sector Models at ETFSector.com are built around a different idea.
These are a family of proprietary sector-selection strategies run by Patrick Torbert, ETFSector.com’s Editor and Chief Strategist, designed to identify the strongest areas of the S&P 500 while deliberately separating how often we measure the market from how often we trade it. The models rank all eleven S&P 500 sectors every trading day, but the portfolios themselves rebalance only four times a year. That distinction is the heart of the process. The approach comes from the realized limitations of our previous approach and harnessing the power of AI to do quantitative research on sector level returns that we simply weren’t able to do when we started this project.
Sector leadership is too important to ignore
Anyone who spends enough time operating sector portfolios learns the same lesson: beneath the index, there is almost always a much more interesting market taking place.
The S&P 500 may be up 8%, but one sector can be up 25% while another is down 10%. Leadership rotates between growth, cyclicals, defensives, financials, commodities and rate-sensitive groups as the economic and market backdrop changes. The dispersion between sectors is large enough that getting the broad market right is only part of the job.
The TopN models are our systematic attempt to capture that opportunity. Each day, a single proprietary ranking orders the eleven sectors from strongest to weakest. Each member of the TopN family then reads a different depth of that same ranking—holding the Top 3, Top 5, Top 7, Top 8 or Top 10 sectors. Portfolio weights begin with index weights, while capital released from excluded sectors is redistributed among those the model retains.
That gives us five strategies built from one decision engine but with very different personalities.
The Top 3 is concentrated. The Top 5 gives the ranking a little more room. Top 7 and Top 8 progressively trade concentration for diversification. Top 10 is essentially asking a very different question: rather than identifying only a handful of winners, can we improve on the index simply by identifying the one sector we least want to own?
That breadth decision matters because this is not simply a menu of expected returns. It is a menu of active risk. Historical simulations show materially different tracking-error profiles across the five strategies, which is why I think investors should choose among them based first on how much deviation from the S&P 500 they are willing to tolerate—not on which backtest happens to show the highest return.
Daily intelligence. Quarterly decisions.
This is where the TopN framework differs from many conventional momentum strategies.
We update the ranking every day because I want to know what the market is telling us every day. That makes the ranking useful as a research tool even between rebalances. We can see sectors rising through the standings, leadership deteriorating and market character changing before those changes ultimately find their way into the portfolio.
But watching a signal and trading a signal are two different things.
Our testing produced one of the most important findings behind this model family: trading more frequently did not improve results. For the Top 3 strategy, the same underlying ranking generated materially better simulated active returns when implemented quarterly than when implemented monthly, weekly or daily. Daily implementation also pushed annualized turnover above 31 times, versus roughly 2.7 times on the quarterly schedule.
And transaction costs were not the main explanation. Even before costs, the faster versions failed to improve the strategy.
That tells us something important about sector rotation. Sector leadership can flicker every day without genuinely changing. A model that reacts to every fluctuation can end up monetizing noise rather than information.
So the TopN philosophy is deliberately patient:
Measure frequently. Decide selectively. Trade infrequently.
The quarterly rebalance is not an administrative convenience. It is part of the signal design. The research suggests that the natural rhythm of meaningful sector leadership change is considerably slower than the rhythm of daily market prices.
Why we’re publishing the rankings
There is one final element of TopN that matters to me as an operator and as an editor: you will be able to watch it work.
The rankings will be published as they evolve.
That means readers will see the awkward periods as well as the good ones. They will see when yesterday’s leader falls to fifth, when a deeply unpopular sector climbs into the portfolio and when a market darling suddenly finds itself near the bottom of the table.
That transparency is intentional.
A model becomes more useful when investors understand how it behaves rather than simply seeing a performance number after the fact. With quarterly rebalances, there is enough time between portfolio changes to observe the competition taking place underneath the index—to see which sectors are gaining strength, which are losing it and where the next rebalance may be headed.
And that, ultimately, is what I want the TopN models to provide.
Not a prediction machine.
Not another black-box backtest.
A systematic framework for answering one of the questions every sector investor has to answer sooner or later:
When leadership changes, what do I want to own?
The TopN Sector Models give us five different ways to answer that question—and beginning now, ETFSector.com readers will be able to follow the answer as it changes.
