February 27, 2026
Elev8 Model Input Scores: March 2026
The table below shows the Elev8 model’s scores for March. February’s big developments included a renewed concern over tariffs after the US Supreme Court struck down the Trump Administration’s previous policy. Military action against Iran has become a topic of market focus as well. All of this came against a backdrop of softer economic data and another relatively cool CPI print. What was different is the confluence of events offered a hint of a potential slowdown and interest rates moving lower. With rotation from Growth towards Value continuing, our trend following model has adjusted its stance to align with the resources trade and emergent investor interest in lower vol. sectors, particularly Staples, Real Estate and Utilities.
Key: Pattern = L/T (1yr+) Price Pattern of the Sector ETF, Mean Rating = simple average of 1-6 ratings (buy-sell) of all stocks within the sector, WTD Mean Rating = Cap Weighted Sector Constituent rating, OB = Overbought, OS = Oversold, N=Neutral
Model Input Commentary
A tactical overlay remains in place as geopolitics, falling rates and rotation out of the broader AI complex has us concerned about an elevated chance of correction for equities. We think if that were to happen lower vol. securities, precious metals and other haven plays would be clear beneficiaries. The S&P 500 remains within a few percentage points of all-time highs, but our technical and macro inputs are showing pre-cursors to weakness. From the technical side, momentum has been diverging negatively against the S&P 500 uptrend since May of 2025. Narrowing GDP prints, rising consumer delinquencies, pressure on credit in the private equity space and concern over AI disruption are a few of the potential negative catalysts. Mixed with the above geopolitical concerns, we see reason to tilt the portfolio away from the Growth exposures that have been anchoring this bull market since early 2023.
Elev8 Sector Rotation Model Portfolio: March Positioning vs. Benchmark Simulated S&P 500 (data as of 2/26/2026)
Previous Positioning as of last Rebalance: January 31, 2026
February’s allocation kept the Elev8 portfolio competitive with the S&P 500 in February, but we weren’t prepared for the economic data to show up softer than expected. We had been positioned for firmer interest rates, and had assume that would keep most investor interest away from low vol. sectors. Despite that, our long exposure to Industrials and commodities sectors kept was a correct alignment and our positions in Growth sectors were modest.
Conclusion
We’ve seen some concern building underneath the surface of the S&P 500 in 2026. However, the S&P 500 enters March very close to its all-time highs. We think there’s potential for a deeper shake-out in absolute terms. While continued focus on natural resources and tariff outcomes have invigorated interest in commodities prices, rates are moving lower not higher. We’d expect defensive exposures and resource exposures to act well if we get a bout of seasonal weakness at the index level. On the other hand, we don’t see clear bullish catalysts for the AI trade in the near-term. We expect we will eventually get some downstream fundamental results that validate the hype, but at present the market is discounting skepticism. We align with the trend.
About Elev8
We introduced the Elev8 Sector Rotation Model in May of 2024. Here’s a look under the hood at the inputs we use to score the 11 GICS Sectors and our resulting positions. The model includes up to 14 indicators that range from:
- Stock Level Technical Characteristics
- Macro-overlays:
- equity trend (S&P 500)
- interest rate trend (10yr US Treasury Yield)
- commodities trend (Bloomberg Commodities Index)
- USD trend (vs. EUR & Broad Currency Indices)
- Relative performance vs. the benchmark S&P 500
- Overbought/Oversold oscillator studies
We use the largest passive sector-based ETF by AUM ($) for each sector as our proxy for Elev8 sector positions. We select 8 out of 11 Sectors each month and have no exposure to the 3 with the lowest scores in our model.
Data from Factset Research Systems Inc.
