ETFs signal
QQQM

QQQM

Invesco NASDAQ 100 ETF

ETFsNGMUSD-2.2% from ATH
Current Price

$300.56

Drawdown from ATH

-2.2%

Last Updated

Jun 17, 2026

Dipsern Grade90d

C

Marginal

Graded against QQQM's own history at this drawdown — not the market's.

What it means: QQQM's own history does not strongly favor buying at this level yet.

What to do: Consider watching and waiting for a deeper dip or a higher grade.

Median 90-Day Return
Historical Win Rate
Last 30 days+7.11%
May 5Jun 16
About QQQM

Invesco NASDAQ 100 ETF

The fund generally will invest at least 90% of its total assets in the securities that comprise the underlying index. Strictly in accordance with its guidelines and mandated procedures, Nasdaq, Inc. (“Nasdaq” or the “index provider”) compiles, maintains and calculates the underlying index, which includes securities of 100 of the largest domestic and international nonfinancial companies listed on The Nasdaq Stock Market LLC based on market capitalization. It is non-diversified.

The reading

How Dipsern reads QQQM right now.

Three plain-English paragraphs — current state, historical base rate, and interpretation — so you walk away with context, not a dashboard.

Snapshot

How is QQQM doing right now?

In plain terms: QQQM is 2.2% below its highest-ever price. Dipsern checks every past time it was this far down and grades how the next 90 days usually went.

As of the latest market close, Invesco NASDAQ 100 ETF (QQQM) is trading in a shallow pullback, 2.2% below its all-time high at $300.56. A move of this size is statistically unremarkable. It's the kind of pullback that bounces fast or extends into a deeper correction; the next leg is what matters.

Historical base rate

What history says at this drawdown

QQQM reaches this drawdown band repeatedly in its history (750 observations), which is a large sample for the segmentation engine to compute a stable median forward return. The engine uses a rolling 90-day window and gives more weight to recent years — this lets the signal adapt to regime changes (e.g., post-COVID volatility) without losing the long-run base rate.

Interpretation

What this means for QQQM

ETFs aggregate constituent behavior, so their drawdowns tend to be shallower but more persistent than single stocks. The median forward return at a given drawdown level for an ETF is usually a more stable signal than for an individual equity. This drawdown band tends to mean-revert quickly. The Dipsern win rate here is informative — if it's well above 50%, momentum traders treat these dips as buy-the-pullback setups.

Comparable signals

Other ETFs at similar drawdown levels

Five tickers closest to QQQM's distance from all-time high. Same category, one tap away.

Invesco QQQ Trust

-2.2% from ATH

Vanguard Materials ETF

-2.2% from ATH

SPDR Portfolio Aggregate Bond ETF

-2.1% from ATH

Vanguard Total Bond Market ETF

-2.2% from ATH

iShares U.S. Financials ETF

-2.1% from ATH

Historical depth

Sample sizes by drawdown band

Dipsern segments the full drawdown range into 20 equal-width bands. The table shows the number of confirmed historical observations in each band for QQQM. Median forward returns, win rates, and prediction errors are available in the full analysis.

Drawdown BandObservationsMedian ReturnWin Rate
-40% to -35%3
-35% to -30%58
-30% to -25%103
-25% to -20%80
-20% to -15%64
-15% to -10%99
-10% to -5%206
-5% to 0%Current750
Methodology

Every grade is reproducible.

We segment 40+ years of QQQM's price history into 20 equal-width drawdown bands and compute forward median returns, win rates, and prediction error per band. No look-ahead bias. Pure NumPy. Open math, gated numbers.

Years of history

40+

Drawdown bands

20

Look-ahead bias

None

Data sources

4

Unlock QQQM's full analysis

See the Dipsern grade, median returns, win rates, prediction accuracy, 8 interactive charts, historical price paths, and a plain-English verdict for QQQM.

Dipsern is research and a second opinion — not a broker. You'd buy QQQM at your own broker.

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Signal computed Jun 17, 2026 using default parameters (90-day return period, 20 segments, 0.95 decay). Data sourced from Yahoo Finance, Binance, CoinGecko, and Steam Market.