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ARCOverlapConcentration Governance

Concentration monitoring — measured, bounded, and transparent.

The overlap statistics shown here reflect the current reference implementation of ARC and are provided for research transparency rather than as portfolio recommendations.

Overlap can occur when multiple sleeves hold the same company, while monitoring it explicitly so consensus exposure remains visible.

Intentional ConcentrationCrowding VisibilityBucketed Analysis
Back to ARCReview the Framework
Data as of Market CloseApr 06, 2026
How ARC Top 25 is Computed
ARC Top 25 reflects the highest aggregate positions across the portfolio, combining exposure from Single, 2-Fund, 3-Fund, and 4-Fund allocations.
Benchmark Top 25
Top 25 totals reflect the aggregate weight of the largest 25 holdings, based on published holdings data from StockAnalysis.
Why it Matters
Shows how ARC’s largest exposures are distributed across overlap buckets, helping monitor crowding versus benchmark concentration.
Where overlap comes from
Measurable overlap is primarily sourced from QQQM, MTUM, and the semiconductor sleeve (SOXQ/XSD). The Global Diversifiers sleeve contributes no material overlap, and US small-cap value introduces minimal structural duplication.

Overlap Buckets

ARC groups Top-25 holdings by how many ETFs select the same company, separating unique exposure from cross-fund consensus.

Single Stock = 1 ETF2–4 Fund Overlap = multiple ETFsWeight = portfolio weight in bucket
Single Stock
46 Unique Holdings
9.02%
Total Weight
2-Fund Overlap
12 Unique Holdings
3.48%
Total Weight
3-Fund Overlap
6 Unique Holdings
3.52%
Total Weight
4-Fund Overlap
3 Unique Holdings
3.10%
Total Weight
Single Stock
Share of ARC Top 25: 47.13%
Top holding: AAPL
2-Fund Overlap
Share of ARC Top 25: 18.21%
Top holding: WMT
3-Fund Overlap
Share of ARC Top 25: 18.41%
Top holding: AVGO
4-Fund Overlap
Share of ARC Top 25: 16.22%
Top holding: NVDA
ARC Top 25 Concentration
Total concentration across all overlap buckets.
19.13%
Benchmark Concentration vs ARC
Common benchmarks are materially more concentrated in their top 25 holdings than ARC, increasing concentration exposure through index drift.
VTI43.40%
+126.9% more concentrated
Δ vs ARC+24.27%Relative multiple2.27×
VOO49.21%
+157.3% more concentrated
Δ vs ARC+30.08%Relative multiple2.57×
VT28.02%
+46.5% more concentrated
Δ vs ARC+8.89%Relative multiple1.46×
QQQ70.76%
+269.9% more concentrated
Δ vs ARC+51.63%Relative multiple3.70×

Single Stock

Holdings: 46Total weight: 9.02%Top: AAPL (1.09%)
TickerWeightShare of Bucket
AAPL1.09%12.09%
MSFT0.806%8.94%
AMZN0.655%7.27%
TSLA0.524%5.81%
META0.492%5.46%
JNJ0.453%5.02%
XOM0.428%4.75%
COST0.361%4.00%
NFLX0.334%3.70%
JPM0.305%3.38%
CAT0.290%3.22%
CSCO0.251%2.78%
GEV0.231%2.56%
GE0.211%2.34%
LIN0.187%2.07%
RTX0.181%2.01%
TMUS0.179%1.99%
GS0.176%1.95%
PEP0.173%1.92%
AMGN0.151%1.67%
APH0.151%1.67%
IBM0.142%1.58%
WFC0.138%1.53%
NEM0.130%1.44%
MS0.129%1.43%
ASML0.0942%1.04%
TSM0.0940%1.04%
TER0.0738%0.82%
COHR0.0736%0.82%
GFS0.0370%0.41%
POWI0.0327%0.36%
ARM0.0318%0.35%
CRUS0.0318%0.35%
LSCC0.0306%0.34%
SLAB0.0303%0.34%
ALAB0.0302%0.33%
PI0.0296%0.33%
RMBS0.0294%0.33%
QRVO0.0293%0.33%
SWKS0.0291%0.32%
SITM0.0289%0.32%
ALGM0.0288%0.32%
FSLR0.0285%0.32%
SYNA0.0283%0.31%
SMTC0.0282%0.31%
ENTG0.0270%0.30%

2-Fund Overlap

Holdings: 12Total weight: 3.48%Top: WMT (0.788%)
TickerWeightShare of Bucket
WMT0.788%22.63%
GOOGL0.751%21.56%
GOOG0.669%19.21%
PLTR0.455%13.06%
MRVL0.139%3.99%
ADI0.108%3.10%
MPWR0.107%3.07%
QCOM0.104%2.99%
NXPI0.0984%2.83%
MCHP0.0912%2.62%
ON0.0876%2.52%
MTSI0.0845%2.43%

3-Fund Overlap

Holdings: 6Total weight: 3.52%Top: AVGO (0.997%)
TickerWeightShare of Bucket
AVGO0.997%28.31%
MU0.822%23.34%
LRCX0.600%17.04%
AMAT0.495%14.05%
KLAC0.358%10.16%
TXN0.250%7.10%

4-Fund Overlap

Holdings: 3Total weight: 3.10%Top: NVDA (1.91%)
TickerWeightShare of Bucket
NVDA1.91%61.55%
AMD0.668%21.53%
INTC0.525%16.92%
Interpretation notes

Overlap is treated as risk-controlled consensus: when multiple sleeves select the same companies, ARC allows the exposure but monitors and governs it.

ARC is designed so relative value can rotate across sleeves. Because allocations are intentionally diversified with lower cross-correlation, it’s common for at least one sleeve to look comparatively attractive at any point in time, supporting a simple set-and-rebalance predominant equity portfolio.

Data sourced from StockAnalysis. Values are refreshed daily before market open and reflected in the published snapshot used by this page.
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© 2026 Portfolio Engineers. Content is provided for research and educational purposes only and should not be interpreted as investment advice or a recommendation to buy or sell any security. Hypothetical or model results may not reflect actual trading outcomes.