ETFs signal
QCLN

QCLN

First Trust NASDAQ Clean Edge Green Energy Index Fund

ETFsNGMUSD-38.8% from ATH
Current Price

$52.82

Drawdown from ATH

-38.8%

Last Updated

Aug 10, 2026

Dipsern Grade90d

C

Marginal

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

What it means: QCLN'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-7.98%
Jun 26Aug 7
About QCLN

First Trust NASDAQ Clean Edge Green Energy Index Fund

The fund will normally invest at least 90% of its net assets (including investment borrowings) in the securities that comprise the index. The index is designed to track the performance of small, mid and large capitalization clean energy companies that are publicly traded in the United States. It is non-diversified.

The reading

How Dipsern reads QCLN 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 QCLN doing right now?

In plain terms: QCLN is 38.8% 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, First Trust NASDAQ Clean Edge Green Energy Index Fund (QCLN) is trading in a severe drawdown, 38.8% below its all-time high at $52.82. Severe drawdowns separate structurally sound assets from the ones that don't recover. The historical data below shows what QCLN did after similar episodes.

Historical base rate

What history says at this drawdown

History at this drawdown level is well-populated for QCLN — 578 confirmed observations in the 40%-to-35% band. The Dipsern engine uses these to compute a rolling median rather than a mean, because medians are robust to the kind of fat tails you find in etfs return distributions. The win rate (% of episodes that closed positive after 90 days) is shown in the segments table below.

Interpretation

What this means for QCLN

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. At this depth, focus on prediction error and sample size before median return. A high historical median return at -40% means nothing if the prediction error was also 30%.

Comparable signals

Other ETFs at similar drawdown levels

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

Vanguard Long-Term Treasury ETF

-38.7% from ATH

SPDR Portfolio Long Term Treasury ETF

-38.7% from ATH

Roundhill Sports Betting & iGaming ETF

-38.5% from ATH

SPDR S&P Oil & Gas Exploration & Production ETF

-38.2% from ATH

abrdn Physical Platinum Shares ETF

-37.2% 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 QCLN. Median forward returns, win rates, and prediction errors are available in the full analysis.

Drawdown BandObservationsMedian ReturnWin Rate
-80% to -75%2
-75% to -70%227
-70% to -65%318
-65% to -60%302
-60% to -55%561
-55% to -50%620
-50% to -45%494
-45% to -40%451
-40% to -35%Current578
-35% to -30%328
-30% to -25%265
-25% to -20%147
Methodology

Every grade is reproducible.

We segment 40+ years of QCLN'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 QCLN'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 QCLN.

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

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Signal computed Aug 10, 2026 using default parameters (90-day return period, 20 segments, 0.95 decay). Data sourced from Yahoo Finance, Binance, CoinGecko, and Steam Market.