Does anything beat buy & hold on 3x Semis (SOXL)?
Every setup we tested on 3x Semis (SOXL) — ranked out-of-sample, corrected for multiple testing, and forward-tracked in public from the day this page published. The honest answer is the headline.
No setup beat simply holding once tested honestly. We say so plainly.
Its best setup only beat buy-and-hold in one window — a regime artifact, not a strategy. Buy-and-hold benchmark: +42.2% CAGR over 16.3 years (+36.1% CAGR in the out-of-sample window).
Educational research from historical backtests — not investment advice. Past performance does not predict future results.
3x Semis: Nothing Beat Buy-and-Hold, and That Is the Honest Answer
Broad, diversified instruments like 3x Semis are where indicator strategies go to disappoint. We ran 736 setups against SOXL, and none cleared the bar once scored honestly — on data the strategy never saw. The best of the batch, Predictive Ranges on the weekly timeframe, posted an out-of-sample Sharpe of 1.29, short of the 1.64 hurdle we require before calling anything real. For an index fund this is the expected result: whatever inefficiency exists in single names tends to average away in the basket, leaving buy-and-hold's +42.2% annualized return as the number nothing here managed to beat.
Read these figures with the selection problem in mind. Test 736 indicators, keep the best, and the winner looks impressive by construction — which is exactly why the hurdle exists instead of applause for a lucky draw. Here, only 21.5% of setups outperformed buy-and-hold even in-sample, and the top candidate produced +59.0% annual alpha over 4.9 unseen years, across 54 trades with a 55.6% win rate and a -66.1% drawdown. That pattern reads as noise, not signal. Markets also change, so even a genuine past edge can fade. This page documents what failed — useful to know before assuming something works.
Every figure above is computed from our own backtests — nothing is estimated or invented. Hypothetical results; not investment advice.
The least-bad setups — shown with their failure numbers
Nothing here earned a verdict — these are the best of a losing field, published so you can see exactly how "best" still failed.
Predictive Ranges
What it is: A channel / envelope rule: it measures how far price has travelled from a moving reference and acts at the extremes. Long/flat only — no leverage, no shorting. The parameters we tested are not published.
How it was tested: signals evaluated at weekly-bar close, the position changes on the NEXT bar, 0.08% cost per side. Same engine, same cost model, same out-of-sample split as every other number on this site.
Out-of-sample (last ~30% of the window, never used to pick this setup): Sharpe 1.29 · alpha +59.0% · 10 trades over 4.9 yrs.
Fractal Adaptive MA
What it is: A trend-following rule: it holds while a smoothed trend reference is pointing up and goes flat when it turns. Long/flat only — no leverage, no shorting. The parameters we tested are not published.
How it was tested: signals evaluated at weekly-bar close, the position changes on the NEXT bar, 0.08% cost per side. Same engine, same cost model, same out-of-sample split as every other number on this site.
Out-of-sample (last ~30% of the window, never used to pick this setup): Sharpe 1.22 · alpha +34.5% · 28 trades over 4.9 yrs.
Zero-Lag MACD
What it is: A momentum rule: it holds while rate-of-change stays positive and steps aside when it rolls over. Long/flat only — no leverage, no shorting. The parameters we tested are not published.
How it was tested: signals evaluated at weekly-bar close, the position changes on the NEXT bar, 0.08% cost per side. Same engine, same cost model, same out-of-sample split as every other number on this site.
Out-of-sample (last ~30% of the window, never used to pick this setup): Sharpe 1.19 · alpha +51.2% · 19 trades over 4.9 yrs.
Since publication — including if it loses
The setup is ahead so far — over a window this short that is mostly noise. Marked to market nightly from real prices, rules frozen at publication, as of 2026-09-07. Currently LONG.
We tested 736 setups (indicator × parameters × timeframe) on 3x Semis (SOXL). Only setups with ≥30 trades qualify (568 did). Setups are ranked by out-of-sample Sharpe — the last ~30% of history, which standard-parameter rules never saw during selection. Because picking the best of 736 tries mines even the holdout, the VALIDATED verdict additionally requires the top setup’s OOS Sharpe to clear a selection hurdle of 1.64 (√(2 ln N)/√T) AND positive alpha in both windows. Of the eligible setups, 21.5% had positive out-of-sample alpha (median OOS Sharpe 0.6) — the table below is truncated, but this summary covers all of them. How we test: methodology. The scoring contract is published in full; the parameters of each individual setup are not.
Top 20 of 568 eligible setups
Ranked by out-of-sample Sharpe. Full + out-of-sample columns, costs included. Hypothetical.
| # | Setup | TF | Total ret | Sharpe | Max DD | Win | Trades | α vs B&H | OOS Sharpe | OOS α | OOS trades |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Predictive Ranges | Weekly | >+999% | 0.77 | -66.1% | 55.6% | 54 | -10.1% | 1.29 | +59.0% | 10 |
| 2 | Fractal Adaptive MA | Weekly | >+999% | 0.89 | -58.8% | 57.3% | 96 | -4.8% | 1.22 | +34.5% | 28 |
| 3 | Zero-Lag MACD | Weekly | >+999% | 0.81 | -82.8% | 60.9% | 69 | -6.5% | 1.19 | +51.2% | 19 |
| 4 | Zero-Lag MACD | Weekly | >+999% | 0.81 | -82.8% | 60.9% | 69 | -6.5% | 1.19 | +51.2% | 19 |
| 5 | G-Channel | Daily | >+999% | 0.74 | -67.5% | 37.8% | 119 | -13.2% | 1.14 | +30.0% | 26 |
| 6 | Trend Magic | Weekly | >+999% | 0.77 | -58.8% | 49.1% | 53 | -10.8% | 1.11 | +33.1% | 12 |
| 7 | Donchian Midline | Weekly | >+999% | 0.86 | -65.1% | 56.4% | 39 | -3.5% | 1.09 | +31.2% | 10 |
| 8 | KAMA 100 Trend | Daily | >+999% | 0.6 | -70.6% | 38.0% | 129 | -23.1% | 1.09 | +27.2% | 26 |
| 9 | LSMA 200 Trend | Daily | >+999% | 0.67 | -66.3% | 42.9% | 126 | -19.1% | 1.09 | +26.3% | 26 |
| 10 | Williams %R (21) | Weekly | >+999% | 0.86 | -68.5% | 61.0% | 41 | -3.9% | 1.08 | +30.6% | 11 |
| 11 | Ehlers Decycler | Weekly | >+999% | 0.9 | -52.5% | 46.9% | 49 | -0.6% | 1.07 | +28.8% | 11 |
| 12 | RSI Trend (>50) | Weekly | >+999% | 0.86 | -54.6% | 46.3% | 41 | -3.6% | 1.04 | +25.5% | 11 |
| 13 | WMA 200 Trend | Daily | >+999% | 0.69 | -81.6% | 37.7% | 69 | -16.8% | 1.04 | +22.6% | 16 |
| 14 | VIDYA 30 Trend | Daily | >+999% | 0.69 | -77.3% | 37.4% | 91 | -16.7% | 1.03 | +21.0% | 21 |
| 15 | ZLEMA 200 Trend | Daily | >+999% | 0.6 | -69.7% | 40.7% | 118 | -23.5% | 1.03 | +19.6% | 28 |
| 16 | Twiggs Money Flow | Weekly | >+999% | 0.77 | -77.9% | 54.2% | 48 | -8.5% | 1.02 | +28.3% | 14 |
| 17 | Price Volume Trend | Weekly | >+999% | 0.87 | -71.4% | 46.8% | 47 | -1.0% | 1.02 | +26.6% | 14 |
| 18 | Disparity (20) | Weekly | >+999% | 0.96 | -45.1% | 48.9% | 45 | +3.6% | 1.02 | +23.0% | 12 |
| 19 | RSI (50) | Daily | >+999% | 0.76 | -75.2% | 39.3% | 107 | -11.5% | 1.02 | +20.9% | 25 |
| 20 | Relative Momentum Index | Daily | >+999% | 0.7 | -71.7% | 49.4% | 87 | -15.4% | 1.02 | +20.8% | 23 |
Hypothetical backtests with 0.08%/side costs. Not investment advice — see the full disclaimer.
These are historical backtests of mechanical rules. They are educational research, not investment advice, not a recommendation, and not tailored to you. Educational information only — not investment advice. Hypothetical backtested results; past performance does not guarantee future results. Trading involves risk of loss.