Weekly Commentary: July 07, 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-opus-4-8).
What the screen said this week
The screen classified the current environment as Mid-cycle, based on industrial production (INDPRO) growing at +1.7% year over year, which sits inside the rule's 0.0% to 4.0% band, combined with a positive yield curve reading of +0.35. In this framework, that combination reads as steady economic expansion rather than early recovery or late-cycle stress.
Two sectors topped the composite: Communications (XLC, 77.1) and Technology (XLK, 77.0), both carrying a Buy signal under this rule set. Both scored a maximum 100 on cycle fit, meaning the rules treat them as well aligned with a mid-cycle reading, and both had strong seasonality scores. Real Estate (XLRE, 66.1) and Industrials (XLI, 65.6) also cleared the Buy threshold of 65, helped more by seasonality and relative strength than by cycle fit, since both scored only 50 on cycle. Note that a Buy label here is an output of the screen's thresholds, not a recommendation.
No sector triggered an Avoid signal (threshold 40 or below). Energy (XLE) was the weakest at 49.6, dragged down by the lowest relative strength (39.3) and a steep three-month return of -22.66%.
Things worth noticing
There is a visible split between cycle fit and price action at the top. Communications carries the top composite despite a negative three-month relative return (-13.76%) and a mid-range relative strength of 47.3. Its ranking leans heavily on the maximum cycle score and a seasonality reading flagged as thin sample, meaning that seasonal figure rests on limited historical data and deserves extra caution.
By contrast, Industrials and Real Estate show the opposite pattern: stronger relative strength (72.1 and 67.5) but only middling cycle fit. This shows how the composite can surface sectors for different underlying reasons.
Also worth flagging: the backtest shows the Strategy at +471.04% versus SPY at +626.21% since May 2011, net of a 1 bps trading cost. Over this window, the rule set did not beat a simple buy-and-hold of SPY.
Methodology reminder
The composite is a weighted sum of Seasonality (25%), Cycle Fit (40%), and Relative Strength (35%). Lookahead bias is controlled in the backtest by using FRED ALFRED point-in-time vintages, so the rules only see macro data as it would have been available then. The backtest figures are a property of this specific rule set over this specific window, not a forecast of anything.