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How many times leveraged were 3x ETFs, really? Sixteen years measured

Updated 2026-09-20 · 4 min read

You have probably heard that a 3x ETF is only 3x for one day. So what was it actually? We measured it with the data on this site.

Daily, it was exactly 3x

Regressing each leveraged product's daily return on its underlying index:

Product Underlying Period Daily multiple
SOXL SOXX 2010-03 – 2026-09 2.96
TQQQ QQQ 2010-02 – 2026-09 2.96
UPRO SPY 2009-06 – 2026-09 2.98
UDOW DIA 2010-02 – 2026-09 2.95

All close to 3.00. The issuers delivered what they promised. The small shortfall to 2.95–2.98 is the expense ratio and financing cost.

Long term, it was not 3x at all

Annualised returns over the same periods:

Product Underlying CAGR If 3x Actual CAGR Shortfall
SOXL 23.2% 69.5% 35.8% −33.7pp
TQQQ 18.3% 54.9% 41.5% −13.4pp
UPRO 13.0% 39.0% 32.0% −7.0pp
UDOW 10.3% 30.9% 24.9% −6.0pp

Underlying CAGR, the 3x assumption and actual 3x CAGR

SOXL delivered about half of what a naive 3x would suggest. UPRO and UDOW came fairly close.

Why the difference?

Volatility is the culprit

Product Underlying volatility Theoretical drag Actual shortfall
SOXL 30.9% 28.6pp 33.7pp
TQQQ 20.7% 12.8pp 13.4pp
UPRO 17.1% 8.8pp 7.0pp
UDOW 16.4% 8.1pp 6.0pp

Theoretical volatility drag vs actual shortfall

Theory and measurement line up. This is structural, not coincidence.

Long-run drag on a leveraged product is approximated by:

drag ≈ (L² − L) / 2 × σ²

L is the leverage factor and σ the underlying's annualised volatility. At L = 3 the coefficient is (9−3)/2 = 3, so:

drag ≈ 3 × σ²

Plugging in SOXX's 30.9%: 3 × 0.309² = 28.6pp, which is the table value.

Volatility enters squared. Double the volatility and the drag quadruples. SOXX (30.9%) and DIA (16.4%) differ by about 1.9x in volatility but 3.5x in drag.

Why it happens — two lines of arithmetic

Start at 100, gain 10%, then lose 10%.

Underlying - 100 → 110 → 99 - Result: −1.0%

3x product (three times each day's return) - 100 → 130 → 91 - Result: −9.0%

The index is down 1% and the 3x is down 9%, not 3%. The index came back to where it started and the leveraged product did not.

Going up then down means falling from a larger base; going down then up means rising from a smaller one. That accumulates every single day.

So should you avoid them?

Not necessarily. Look again: SOXL's actual 35.8% CAGR is far above its underlying's 23.2%. It beat the index despite paying the full drag.

Drag runs in reverse during a strong one-directional trend: rising from a larger base after each gain compounds faster than 3x. Choppy markets punish you; trending markets amplify you.

Since 2010 both semiconductors and the Nasdaq have trended strongly upward, which is why they came out ahead. Keep in mind how unusual that period was.

Drawdown is the real problem

More important than return. Average yearly maximum drawdown from this site's data:

Product Avg MDD Worst year
SOXL −56.4% −89.9%
TQQQ −39.7% −80.2%
UPRO −33.3% −76.6%
SOXX (underlying) −26.8% −65.9%

Drawdown from peak — SOXL, SOXX, SPY

−89.9% means $10,000 became $1,010. Recovering the original requires a 890% gain.

And that figure is on a yearly reset basis. Buying at the end of 2021 and holding through 2022 was worse.

Practical conclusions

  1. The 3x tracking works. There is nothing to suspect in the issuers
  2. Long-run multiple is set by the underlying's volatility. Leveraged products on calmer indices (Dow, S&P) hold up better over time
  3. Sideways markets do the most damage. Directionless chop is the worst case
  4. Read the drawdown first. A great return you cannot sit through belongs to someone else

What this has to do with split buying

This is why the site exists. Hold a 3x product outright and you eat the −90%. Split buying keeps cash on the sidelines most of the time and brings the same ticker's drawdown down to roughly −23%.

It also cuts the return by more than half. Whether that trade is worth it, ticker by ticker, is in seventeen leveraged ETFs run through the same rule.

The derivation of the drag formula is in the maths of volatility drag.

Try it on your own strategy Test a split-buy strategy against historical data and see CAGR, MDD and Calmar side by side.