Weekly Commentary — May 13, 2026
⚠️ Not financial advice. This is auto-generated each week by Anthropic's Claude (an AI model). Brian Beals is not a registered investment advisor, and Anthropic's Claude is not licensed to provide personalized financial advice. The screener is a research and methodology demo, not a recommendation system. Past performance does not predict future results. Do your own research before making any investment decisions.
By Brian Beals. Methodology and code: github.com/brianbeals/sector-rotation-screener. Commentary generated by Anthropic's Claude (claude-sonnet-4-5).
Sector Rotation Screen — 2026-05-13
What the screen said this week
The screener classified the current environment as mid-cycle, based on industrial production growing +0.7% year-over-year (between 0% and 4%) with a rising trend (+0.47 points). That characterization maps Technology, Communications, and Energy to the "cycle fit = 100" bucket, while defensive sectors like Healthcare and Utilities score lower (35) under this rule set.
Technology (XLK) sits at the top with a composite score of 91.3, earning a "Buy" signal from the model. All three components align: strong seasonality (79.9), maximum cycle fit (100.0), and robust relative strength (93.3, with 3-month RS at +16.11%). No other sector crosses the ≥65 threshold this week. Communications (XLC) ranks second at 62.0 but carries a "Hold" signal and a thin-sample warning on its seasonality score, plus negative 3-month relative strength (-8.09%).
Four sectors fall into "Avoid" territory (composite ≤40): Consumer Discretionary, Utilities, Financials, and Healthcare. Financials and Healthcare both show double-digit negative 3-month relative strength (-10.13% and -12.66%, respectively) and score poorly on the cycle-fit dimension under mid-cycle rules, dragging their composites below 36.
Things worth noticing
Energy (XLE) illustrates a split personality: it shares the same 100.0 cycle-fit score as Technology, yet lands in the middle of the pack (composite 54.4) because its seasonality score is near neutral (48.7) and its relative strength, while positive over three months (+1.20%), ranks in the middle tier (61.9). The model's 40% weighting on relative strength means recent price action matters more than cycle or calendar alignment in the final composite.
Several traditionally defensive sectors—Consumer Staples, Utilities, and Healthcare—cluster near the bottom, each hampered by below-average cycle fit (35) and weak relative strength over the past quarter. Healthcare in particular combines a high standalone seasonality score (63.9) with the worst 3-month relative strength in the table (-12.66%), a reminder that the three components can pull in different directions.
The backtest disclosure is worth re-reading: over the 15-year window, this strategy returned +221% versus +595% for SPY, underperforming the benchmark by a wide margin after 10-basis-point trading costs. That historical result is a property of these specific rules and weights, not a statement about the future or about rotation strategies in general.
Methodology reminder
The composite score is a weighted average: 30% seasonality + 30% cycle fit + 40% relative strength. Backtest integrity relies on FRED ALFRED vintage macroeconomic data to prevent lookahead bias—each historical decision uses only information that existed at the time. The backtest result documents how this particular rule set would have performed in the past; it is neither a forecast nor a recommendation.