Bauer is the desk's sector and rotation specialist. The model tracks 11 SPDR sectors, 83 industry groups, and roughly 450 sub-industries, measuring relative strength across five rolling timeframes — 5-day, 21-day, 63-day, 6-month, and 1-year. Its job is to identify where the money is going, before the headlines say so.
Rotation is one of the most reliable market patterns in existence — money almost always leaves one group of sectors before it arrives at another — but it's rarely shown cleanly. Bauer renders it the way professional PMs actually think about it: as a cyclical movement around a compass, with leading sectors, weakening sectors, lagging sectors, and improving sectors all on the same map.
Bauer's calls tend to be slower and bigger than Halpern's single-name trades. Accuracy sits at 72.9%, second only to Kim on the desk — partly because relative-strength patterns are statistically durable, and partly because rotation only matters when it's clear, and Bauer only publishes when it is.
“Classic late-inversion rotation. Banks breaking out of 18-month range while utilities lose relative strength. Risk-on returning, rate sensitivity punished.”
“Defensive-to-growth rotation confirmed on three timeframes. Staples made a relative strength low vs SPX; tech made a high. Pattern resolved cleanly.”
“Energy moved from lagging to improving quadrant. 5-day relative strength turning up while 63-day still negative — classic early-stage rotation signature.”
“Defensive pivot signal flashed on three timeframes. Read as late-cycle turn. Was actually a head-fake — discretionary reaccelerated on strong consumer print.”
“Within tech, semis leadership fading. Software making 3-month relative strength high for first time since October. Intra-sector rotation starting.”
“Real estate lagging across all five timeframes. Held in lagging quadrant longer than expected; ultimately rotated to improving but slowly. Direction right, magnitude weak.”
Both sectors deep in the leading quadrant with rising relative strength. Mega-cap AI narrative remains the dominant driver — but breadth within the group is narrowing.
Banks moved from lagging into the improving quadrant over the last 21 days. Yield curve steepening is finally showing up in relative strength. Watch for durability.
Classic mid-cycle signature: defensive healthcare giving up alpha while energy digests its winter rally. Not a sell signal yet — just no longer a buy.
Pure defensive sectors are losing in both dimensions. Real Estate showing early signs of a turn but still firmly in the lagging quadrant. Be patient.
| Sector | 5D | 21D | 63D | 6M | 1Y | Momentum |
|---|---|---|---|---|---|---|
XLKTechnology | +2.1% | +5.4% | +11.2% | +18.6% | +32.4% | ACCEL |
XLCCommunications | +1.8% | +3.9% | +9.1% | +15.2% | +28.1% | ACCEL |
XLFFinancials | +2.4% | +3.1% | +1.8% | +2.4% | +6.1% | ACCEL |
XLYCons. Discretionary | +0.9% | +2.4% | +5.8% | +9.4% | +14.8% | STEADY |
XLIIndustrials | +0.4% | +1.1% | +3.8% | +7.2% | +11.4% | STEADY |
XLBMaterials | +0.8% | +1.5% | +1.2% | +0.8% | +2.4% | STEADY |
XLEEnergy | −0.6% | −0.2% | +4.1% | +9.8% | +3.2% | DECEL |
XLVHealth Care | −1.9% | −0.8% | −0.4% | +1.2% | +2.8% | DECEL |
XLREReal Estate | −0.2% | +0.5% | −1.1% | −0.8% | −2.4% | STEADY |
XLPCons. Staples | −2.1% | −2.4% | −3.1% | −1.8% | −0.4% | DECEL |
XLUUtilities | −3.8% | −4.2% | −5.4% | −2.6% | +1.1% | DECEL |
The pattern — money leaving pure defensives into cyclicals and growth — is textbook mid-cycle. What makes it notable is that Financials and Industrials are catching a bid simultaneously; usually one leads the other by 1–2 quarters. When they move together, it tends to mean the market is pricing a soft landing rather than late-cycle slowdown. This is not late-cycle rotation; this is mid-cycle acceleration.
Bauer is built around a simple idea: stocks don't move randomly. They move in related groups — and those groups rotate in and out of favor over predictable cycles driven by interest rates, economic growth, and investor positioning. The model tracks 11 SPDR sectors, 83 GICS industries, and roughly 450 sub-industries, continuously measuring each group's relative performance against the S&P 500 across five timeframes.
The core output is the relative-rotation graph — a quadrant visualization where each sector's position encodes both its current relative strength and the direction it's heading. A sector in the upper-right (Leading) is outperforming and accelerating; a sector in the lower-left (Lagging) is underperforming and losing ground. Rotation happens clockwise most of the time: Improving → Leading → Weakening → Lagging → Improving again.
Bauer publishes relative-strength shifts, rotation calls, and flow-based regime classifications. Every call identifies which sectors to overweight, which to underweight, and where in the cycle Bauer currently places the market. Horizons are typically 30–90 days.
Bauer does not pick individual stocks. It tells you which sectors and industries are working, not which names within them are the best plays. For stock-level work, pair Bauer with Halpern (flow) or Ostrum (fundamentals).
When 7 stocks drive an entire sector's return, sector-level rotation becomes a proxy for mega-cap flow. Bauer's 2023–2024 calls were distorted by the “Magnificent 7” dominance in XLK.
Geopolitical, banking, or credit shocks cause all correlations to go to 1. Sector-level analysis breaks down. Bauer suppresses rotation signals during periods when VIX > 28.
AI, reshoring, GLP-1s — themes cut across sectors. A true thematic rotation can masquerade as sector rotation without Bauer detecting the underlying driver.
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