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·5 min read·BestFolio Research Team

SCHG, QQQM, SPMO: 2 of These Are the Same Trade

Open any "rate my portfolio" thread from a young investor and the same 3 tickers keep appearing, often side by side in the same account: SCHG, QQQM and SPMO. They get treated as interchangeable growth engines. On matched windows, 2 of them basically are. The third is running a different strategy entirely, and the gap is wide open right now.

What you actually own

SCHG is Schwab's U.S. Large-Cap Growth ETF (0.04% fee): the growth half of the large-cap universe, weighted by size. QQQM is Invesco's NASDAQ 100 fund (0.15%), the same index as QQQ in a cheaper wrapper aimed at buy-and-hold investors: the 100 largest non-financial Nasdaq names, which makes it tech-heavy by design. SPMO, Invesco's S&P 500 Momentum ETF (0.13%), is the odd one out: it holds roughly the 100 S&P names with the strongest recent 12-month price momentum and refreshes that list twice a year. The first 2 own growth as a category. The third owns whatever has recently been working, which is sometimes growth and sometimes not.

2 of these are the same trade

Since QQQM's launch in October 2020, the longest window where all 3 exist, SCHG and QQQM have a daily-return correlation of 0.978. Their annualized volatility is identical at 22%, their worst drawdown is identical at -35%, and their returns land within about 1 point of each other (15.9% vs 17.2% CAGR). Holding both is not diversification, it is 1 position bought twice with different logos. If overlap bothers you, pick 1 and keep the other slot for something that behaves differently.

SCHG and QQQM each have reported volatility of 22%; the calculated constant-weight 50/50 illustration is 21.88%, a reduction of 0.12 percentage points.
With both volatilities at 22% and correlation at 0.978, the constant-weight covariance formula gives a 50/50 mix about 21.88% volatility, only 0.12 percentage points below either input. This is an illustration from rounded reported statistics, not a new portfolio backtest.

The one that is actually different

SPMO's correlation to the other 2 sits near 0.82-0.85, and the matched-window numbers separate: 21.1% CAGR with a -23% worst drawdown, against 16-17% at -35% for the growth pair, over the same October 2020 to August 2026 window. The reason is visible in the calendar years. In 2022, momentum's semi-annual refresh rotated toward energy and defensives and SPMO lost 10% while SCHG and QQQ lost about a third. In 2024 through 2026 the refresh has been riding the winners, and SPMO is up 27% this year against SCHG's 8%.

Before that reads as a free lunch, look at 2023: SPMO made 18% while SCHG made 50% and QQQ 55%. A twice-yearly momentum refresh is structurally late to fast regime turns, and after the 2022 defensive rotation it re-entered the AI trade well behind the index. That is the recurring cost of the strategy: it tends to protect in long slides, and it tends to lag hard bounces. Over the full decade since SPMO's 2015 launch the totals are closer than the recent years suggest: 19.3% CAGR for SPMO vs 17.6% for SCHG and 20.1% for QQQ (using QQQ as the longer-lived stand-in for QQQM, same index).

The practical read

Treat SCHG vs QQQM as a coin flip on fee and index preference, never as a pair to hold together. Treat SPMO as the only genuine second position among the 3, priced with real tracking risk against the index in melt-up years. And matched windows matter more than any of these numbers: the trio has only coexisted for about 6 years, a period that contains exactly 1 bear market and 1 historic momentum run. Different 6 years, different table.

We track momentum-based rotation as a strategy class across much longer histories, including what the same matched-window discipline says about momentum ETFs vs tactical momentum strategies. Prices are adjusted daily closes through August 18, 2026; fees from the issuers' current factsheets.

Educational information only, not investment advice. Past performance does not guarantee future results.

SeriesAnnualized volatility
SCHG (reported)22%
QQQM (reported)22%
50/50 constant-weight illustration21.88%

Revision history

  1. Graphs and research review — September 15, 2026

    Add a figure with accessible labels and the study’s original data boundaries; preserve existing prose.

  2. Readable data tables on mobile

    Added horizontal scrolling for wide data tables on small screens. All figures, source notes and article prose are unchanged.

Past performance does not guarantee future results. Backtested results are hypothetical and do not represent actual trading.

Written with the help of AI tools and reviewed before publication.

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Data and method

Study dates and assumptions are documented in the article and its revisions. Our current methodology explains the platform's data sources, proxy histories, trade timing and inflation treatment.

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