Three ETFs are named with tickers (VFLO, USMV, MVOL.L) and are the only fund rows here — the seven American and six non-American portfolio ETFs appear in chart images by name only, with no tickers stated in the post, so they are transcribed with their weights in transcript.txt rather than guessed at here. VFLO's ten largest holdings (Adobe, Expedia, Devon, Salesforce, Accenture, Intuit, Newmont, Merck, Coeur, ExxonMobil) are index constituents rather than views and get no rows. Nvidia, Apple and Caterpillar are teaching examples of the return decomposition. Research legend: QT Qualtrim · SA Seeking Alpha · STK Stock Analysis. Written post with no timestamps — the At link opens the article.
| Ticker | Name | Research | View | What he said | At |
|---|---|---|---|---|---|
| VFLO | VictoryShares Free Cash Flow ETF | SA · STK · FA | Positive | ETF of the Month. "The ETF invests in large companies in the United States with a specific set of characteristics: High Free Cash Flow Yield; Strong forward growth." The construction is a two-step filter on the VettaFi US Large Cap Free Cash Flow Index — "Value: it finds companies generating the most free cash flow relative to their enterprise value; Growth: it screens out companies with the lowest expected growth." The rationale is the twin-engine argument packaged as a rule: "buying the cheapest companies with the highest expected growth gives us the best chance to let our two favorite return engines work together." Expense ratio 0.39%, physical replication; sector weights Information Technology 38.6%, Health Care 17.9%, Consumer Discretionary 15.9%; top-10 holdings 30.89% of the fund. The sponsor's own backtest is cited: "companies with the highest expected FCF/EV had a return of 17.3% (!) per year." | read ↗ |
| USMV | iShares MSCI USA Min Vol Factor ETF | SA · STK | Positive | Bought — $500 at a stated price of $98.35, "tomorrow at the market opening." The trigger is a spread, not a forecast: "High-Volatility stocks are now outperforming low-volatility stocks by a wide margin. We need to go back to 2006 to see this level of discrepancy. This shows that low volatility stocks are cheap, and probably have room for their multiples to expand." It is also the American portfolio's smallest position (9.5%) and its weakest performer (roughly +7%) — the addition is made into the laggard by design. | read ↗ |
| MVOL.L | iShares Edge MSCI World Minimum Volatility UCITS ETF | STK | Positive | Bought — €500 at a stated price of €76.91, the non-American twin of the USMV purchase. Same trigger, same reasoning; it is also the weakest performer in the non-American book at roughly +12%. The pairing exists because of the regulatory split the post explains: "if you live in the US, you can't buy non-US ETFs. And if you live outside the US, you can't buy US ETFs." | read ↗ |
| NVDA | NVIDIA | QT · SA · STK · FA | Neutral | Engine 1 illustrated, not recommended. "Nvidia's stock surged nearly 900% between 2023 and 2025. That's despite its P/FCF multiple falling from over 100x to 58x. The reason? Free cash flow grew by almost 25x (+2,500%)." The point being taught is that a share can rise enormously while getting cheaper — no view on the stock is offered. | read ↗ |
| AAPL | Apple | QT · SA · STK · FA | Neutral | Engine 2 illustrated — the uncomfortable half. "Just take Apple from 2022 to 2025. The stock went up more than 60% during that period… But Free Cash Flow went down during the same period. What happened? The answer is multiple expansion. The market decided that instead of being worth 20x cash flow, Apple was worth 40x." Also used earlier as the ownership thought experiment: buying one share means being willing to buy the whole company for $4.6 trillion. | read ↗ |
| CAT | Caterpillar | QT · SA · STK · FA | Neutral | Both engines together — the arithmetic worked out. "That's what happened to Caterpillar ($CAT) from 2019 to today. Free Cash Flow: +86%; Multiple: +186%; Stock Price: +536%. High earnings growth + multiple expansion is the golden goose for you as an investor." Cited to show the two effects compound rather than add; no stance on Caterpillar itself. | read ↗ |
Guest-authored (TJ Terwilliger), and the only post in this batch about the ETF product rather than the stock portfolio. Two cautions for the archive: the 17.3% annual return for the highest FCF/EV cohort comes from the fund sponsor's own material, and the ETF-portfolio weights and returns are read off pie and bar charts, so the figures in transcript.txt are approximate and two chart labels are truncated in the source image. Only VFLO, USMV and MVOL.L have tickers stated in the post; none of the other portfolio ETFs are named with a symbol and none is inferred here.
A jargon-free summary of the thesis behind each argued name. (Renders on each name's consolidated page.)
VFLO is a fund that owns large American companies chosen by a rule rather than by a manager. The rule has two steps. First it finds the companies producing the most spare cash relative to what the whole business costs to buy — cash left over after everything the company needs to spend, measured against the price of the shares plus the debt. Then, from those cheap cash generators, it discards the ones expected to grow least.
The point of doing it in that order is the article's central idea. Share prices rise for two reasons: the business generates more cash, or the market decides to pay a higher multiple for the same cash. A cheap company that is also growing can get both at once, and because the two multiply rather than add, the combination is far more powerful than either alone — Caterpillar's cash flow rose 86% while its multiple rose 186%, and the shares rose 536%.
It costs 0.39% a year and holds the shares directly rather than through derivatives. Two things are worth knowing before treating it as a quality fund. Its ten largest positions are less than a third of the fund, so it is genuinely diversified — but that list includes two gold miners and two oil companies alongside Adobe and Intuit, because businesses that look cheap on cash flow are often cyclical ones near the top of their cycle. And the 17.3% annual return quoted for this strategy comes from the fund sponsor's own research, not an independent source.
USMV holds American shares selected and weighted to make the fund as a whole move around as little as possible — the steadier utilities, consumer staples and healthcare businesses rather than the fast movers. It is bought here with $500, the American half of this month's transaction.
The reason is not a prediction about markets. It is a measured gap: shares that jump around a lot have been beating steady shares by the widest margin since 2006. A gap that wide implies the steady shares are being priced cheaply, which leaves room for their valuations to recover — the multiple-expansion engine applied to a whole category rather than one company.
Note where the money goes. USMV is the smallest holding in the American ETF portfolio at 9.5%, and its worst performer at roughly 7%. Adding to the laggard is deliberate: the position is being topped up precisely because it has lagged, which is the same behaviour the stock portfolio applies when it sources buys from the monthly worst-performer table.
MVOL.L is the same idea as USMV built for investors outside the United States — a global rather than purely American basket of low-volatility shares, in a European fund wrapper, bought with €500 at €76.91.
It exists as a separate line only because of regulation. Americans generally cannot buy European-domiciled funds and Europeans generally cannot buy American-domiciled ones, so the newsletter runs two parallel portfolios that pursue the same strategy through whichever funds each audience can actually access.
The reasoning is identical to the American purchase: low-volatility shares are at their cheapest relative to high-volatility shares since 2006, so the case is a valuation gap rather than a market forecast. As with USMV, this is the weakest performer in its portfolio at roughly 12%, and it is being added to for that reason.
Summary derived from the archived Compounding Quality post (text in transcript.txt) for personal study. Not investment advice. © Compounding Quality / TJ Terwilliger for source material.