Demo — Global Compounder

BTCUSD is down 38.87% from cost — the worst position in the book — and sits at 2.26% versus a 4% target. Buying up to target after that drawdown is a conviction decision about an asset with no fundamentals, no sector, and no income evidence in the pack. The data cannot make that call; only the investor's thesis can.

VTI (38.81% vs 40%), SCHD (15.27% vs 15%), VXUS (13.98% vs 15%), and QQQM (11.35% vs 11%) are all within 1.2 points of target, at expense ratios of 0.03% to 0.15%, sitting on gains of +24% to +30%. The rebalance engine generated zero trades. The core is doing exactly what a long-term compounding structure should do, and the correct amount of activity here is none.

On look-through, Technology is 27.89% of the book — three times the next sector (Financial Services at 9.34%). Most of it is model-sanctioned via QQQM's 11% target, but the 1.72% NVDA position is unmatched to any target and stacks onto the same exposure. A drawdown in this one sector hits more than a quarter of the portfolio, and part of that bet was never written into the plan.

• Technology look-through weight: 27.89% (26.17% via ETFs, 1.72% direct NVDA)
• Next largest sector: Financial Services at 9.34%
• QQQM 11.35% vs 11% target (drift +0.35%)
• NVDA listed under unmatchedHoldings in the targets block

The country breakdown shows 92.7% US-domiciled with the remaining 7.3% unclassified, and 100% of the portfolio is priced in USD. VXUS at 13.98% is the only international sleeve and it sits 1.02 points under its 15% target. This is a deliberate model choice, but it means the portfolio's fortunes are tied to one economy and one currency to a greater degree than the fund names suggest.

• byCountry: US 92.7%, Unknown 7.3%
• byCurrency: USD 100%
• VXUS 13.98% vs 15% target (drift -1.02%)

$14,200 of cash (5.04%) is unmatched to any target while AGG is 2.42 points under its 9% target, BTCUSD 1.74 under its 4%, and O 1.01 under its 6% — underweights totaling roughly 5.2% of the book, almost exactly the size of the cash. The rebalance engine generated no trades, so nothing in the plan will close these gaps on its own. Left alone, this is a slow drift away from the stated allocation.

• CASH_USD: $14,200, 5.04% weight, listed under unmatchedHoldings
• AGG drift -2.42%, BTCUSD drift -1.74%, O drift -1.01%
• rebalance: driftBefore 4.71, driftAfter 4.71, tradeSummary empty

All $1,676.89 of trailing income comes from SCHD (63%) and Realty Income (37%). O pays out 264.79% of earnings — far more than it earns on an accounting basis — while its 6.91% free-cash-flow yield does exceed the 5.15% dividend yield, which is the more relevant coverage test. The pack cannot resolve that tension. A dividend cut at O would remove over a third of portfolio income at a stroke.

• TTM income $1,676.89: SCHD $1,316.88 (63%), O $765.20 (37%)
• O payoutRatioPct 264.79, fcfYieldPct 6.91, dividendYieldPct 5.15
• O earnings-basis metrics: PE 51.56, ROE 2.86%
• forwardAnnual $4,868.97 flagged LOW confidence by the pack

AGG at 6.58% is the entire fixed-income sleeve against a 9% target — the biggest single drift in the portfolio at -2.42%. The pack provides no duration or yield data and lists only 13 holdings rows, so the bond exposure is judged on role and behavior (its -1.57% cost basis against +24% to +30% equity gains is consistent with the diversification job) rather than composition. If equities fall, this is the sleeve meant to cushion it, and it is under-filled.

• AGG 6.58% vs 9% target (drift -2.42%)
• AGG costBasisPct -1.57 vs equity funds at +24.01% to +30.07%
• etf.holdingsCount for AGG: 13 rows; no duration or yield in the pack

A 105-name US large-cap fund at a 0.15% expense ratio held alongside VTI's 3,598-name total-market fund at 0.03%. The 67.95% overlap figure is sector coincidence only, so shared companies cannot be confirmed, but the effect is visible in the 27.89% Technology look-through. It is on-model at 11.35% versus an 11% target, so this is a chosen tilt rather than an accident — the risk is that the tilt is paid for twice: in cost and in concentration.

• QQQM expense ratio 0.15% vs VTI 0.03%
• QQQM/VTI overlap 67.95% (SECTOR_APPROXIMATION)
• QQQM 105 holdings vs VTI 3,598
• Technology look-through 27.89%, 26.17% via ETFs

The sector look-through puts Technology at 27.89% of the book — 26.17% via ETFs (principally QQQM at 11.35% and VTI at 38.81%) plus 1.72% direct NVDA. The next sector, Financial Services, is 9.34%. This tilt is model-sanctioned via QQQM's 11% target, but NVDA sits outside the model and adds to the same exposure.

The country breakdown shows 92.7% US with the remaining 7.3% unclassified (VXUS's international holdings register under the fund's US listing, and BTCUSD has no sector or country). VXUS at 13.98% is the sole international sleeve, and every position is priced in USD. This is a single-country, single-currency book to a greater degree than the 'Global' model name suggests.

CASH_USD is unmatched to any target. AGG is -2.42% under its 9% target, BTCUSD -1.74% under 4%, and O -1.01% under 6% — underweights totaling roughly 5.2% of the book, almost exactly the size of the cash. The rebalance block shows drift unchanged at 4.71% with no trades generated.

AGG is the entire Fixed Income sleeve and carries the portfolio's largest single drift at -2.42%. The pack provides no duration or yield data for it, and lists only 13 holdings rows, so the character of the bond exposure cannot be verified — only its role and its -1.57% cost basis, which is consistent with the diversifying behavior it is held for.

SCHD ($1,316.88, 63%) and O ($765.20, 37%) produce all trailing income. O pays 264.79% of earnings while its 6.91% FCF yield covers the 5.15% dividend — an unresolved tension. The forward figure of $4,868.97 is a 100-day forecast extrapolated x3.65 and is flagged LOW confidence, and the income ledger is account-wide, not portfolio-scoped.

BTCUSD is the worst position by cost basis (-38.87%) and is flagged sectorUnknown in coverage — it accounts for part of the 7.3% 'Unknown' sector bucket. At 2.26% of the book, total loss would cost roughly what a bad month costs; the live question is whether to buy back up to the 4% target after the drawdown.

The 38.81% top holding is VTI, itself holding 3,598 names at a 0.03% expense ratio and sitting within 1.19 points of its 40% target. Line-item concentration statistics (top-5 85.99%, HHI 2165.3, effective-N 4.62) overstate risk here because the largest positions are broadly diversified index funds.

QQQM (105 holdings, 0.15% expense ratio, 11.35% weight) overlaps VTI at 67.95% — sector coincidence only, since company-level look-through is unavailable. It is on-model as a deliberate tech tilt, but structurally it re-buys exposure VTI's 3,598 names already deliver, at five times the expense ratio.

All pair overlaps — VTI/VXUS 76.16%, QQQM/VTI 67.95%, SCHD/VTI 61.55%, and the rest — are computed from sector weights because /etf/holdings is plan-gated. The VTI/VXUS figure in particular describes near-identical sector footprints between funds that by design hold essentially disjoint geographies; none of these numbers demonstrate duplicated companies.

Direct stocks total 6.71% (O 4.99%, NVDA 1.72%) and crypto 2.26%. No individual non-fund position exceeds 5%, so no single-name mistake is fatal — the containment principle this portfolio's structure gets right.

Deploy the cash against the model's own underweights

The $14,200 of unallocated cash is almost exactly the size of the combined underweights in AGG (-2.42%), BTCUSD (-1.74%), and O (-1.01%). Deploying it would bring the portfolio close to its stated targets without selling anything, triggering no gains and no turnover.

Total drift is 4.71% and the rebalance engine generated no trades — the gaps will not close themselves. Funding underweights from idle cash is the lowest-cost rebalance available: it costs nothing in taxes or realized gains because it involves only buying.

Formalize the two unmatched holdings into the plan

CASH_USD (5.04%) and NVDA (1.72%) together put 6.76% of the book outside the Global Compounder model. Either give them explicit targets — a cash reserve target, an NVDA satellite target — or wind them into positions the model already names. Either answer is fine; the current ambiguity is not.

A plan that governs 93% of the book is being quietly amended by exceptions. NVDA in particular adds to a Technology exposure already at 27.89% look-through without the model ever having sanctioned it, so the decision should be made deliberately rather than by inertia.

Re-examine whether QQQM's tilt is worth its double cost

QQQM is the one structural redundancy: it re-buys US large-cap exposure VTI already delivers, at 0.15% versus 0.03%, and it drives the 27.89% Technology look-through. If the tech tilt is still a conviction, keep it — it is on-model. If it is legacy, the position carries a +30.07% unrealized gain, so any unwind has a tax cost that should be weighed before acting.

This is the only place in the fund lineup where cost and concentration compound each other. The absolute dollar cost is small at these expense ratios, so this is a conviction check, not an urgent fix — but conviction checks are what keep tilts from becoming accidents.

At 38.81% of the book against a 40% target (drift -1.19%), this is the anchor position doing the bulk of the diversification work: 3,598 holdings at a 0.03% expense ratio. The book's top-1 concentration of 38.81% is entirely this fund, which is acceptable precisely because the position is itself broadly diversified.

This is the portfolio's income engine: it paid $1,316.88 of the $1,676.89 trailing-twelve-month income, 63% of the total. At 15.27% versus a 15% target (drift +0.27%) it is exactly where the model wants it. The 61.55% overlap with VTI is sector-level coincidence only — the pack cannot show shared companies — so it is held on its income role, not challenged as a duplicate.

The only non-US equity exposure in a book that is otherwise 92.7% US-domiciled by the pack's country breakdown. At 13.98% versus a 15% target (drift -1.02%) it is doing the international diversification job the model assigns it. Its 76.16% overlap with VTI is sector approximation only — a US total-market fund and a total-international fund can share sectors while sharing essentially no companies, so that figure describes overlapping sector exposure, not duplication.

A 105-name US large-cap fund held alongside VTI's 3,598-name US total market fund. The 67.95% overlap with VTI is sector-level only, so shared companies cannot be confirmed from this pack, but the sector look-through shows the effect: Technology is the book's largest exposure at 27.89%, almost all of it via ETFs, and this fund is the deliberate tilt driving it. At 11.35% versus an 11% target it is on-model, so this is a chosen tilt rather than an accident — but it duplicates US large-cap exposure VTI already delivers, at 5x VTI's cost (0.15% vs 0.03%).

The only fixed-income position (6.58% of the book, the entire Fixed Income sleeve), held to behave differently from the 79.41% Broad Market equity block rather than to compound. It carries the largest drift in the portfolio: -2.42% against a 9% target, and the rebalance block shows no trades were generated to close it. Its -1.57% cost basis while the equity funds sit at +24% to +30% is exactly the uncorrelated behavior it is there for.

$14,200 of static USD cash, 5.04% of the book, unmatched against the target model. With AGG under target by 2.42%, BTCUSD under by 1.74%, and O under by 1.01%, this cash is roughly the size of the underweights it could fund — it looks like dry powder that has not yet been deployed against the model.

Held for the cash it pays: 5.15% dividend yield, and the second of only two income payers at $765.20 TTM (37% of portfolio income). At 4.99% versus a 6% target (drift -1.01%) it is a modest, model-sanctioned income position. Judged on durability rather than headline yield, the pack is mixed: the payout ratio of 264.79% of earnings looks alarming, but the 6.91% free-cash-flow yield exceeds the dividend yield, which is the more relevant coverage test — though the pack does not resolve the tension itself.

A narrative-driven asset with no fundamentals in the pack and no sector (flagged in coverage as sectorUnknown). It is down 38.87% from cost — the worst position in the book by a wide margin — and sits at 2.26% versus a 4% target (drift -1.74%). Position size is the whole question here, and at 2.26% a total loss costs the portfolio about what a bad month costs; the open question is whether to rebalance up to the 4% target after a -39% drawdown, which is a conviction decision the pack cannot make.

An operating business held for earnings growth, not yield (0.13% dividend yield) and not a trade at 1.72% of the book. The pack's fundamentals support the compounder read: ROE 111.66%, operating margin 64.02%, revenue growth 65.47% (1y), EPS growth 65.99%, debt-to-equity 0.07. Two portfolio-specific caveats: it is one of two holdings unmatched to the target model, so it sits outside the stated plan, and it stacks onto a Technology exposure already at 27.89% look-through — the book's largest sector, mostly via QQQM and VTI.