Does anything beat buy & hold on Decentraland?
Every setup we tested on Decentraland — 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: +23.1% CAGR over 8.7 years (-52.7% CAGR in the out-of-sample window).
Educational research from historical backtests — not investment advice. Past performance does not predict future results.
Decentraland: Nothing Beat Buy-and-Hold, and We Checked Everything
For Decentraland, we ran 638 indicator configurations through the same pipeline we apply to every asset, and none cleared the bar. This is a common outcome in crypto, where simply holding MANA produced a buy-and-hold CAGR of +23.1%% — alongside a maximum drawdown of -77.6%%, which is the price of admission. When the baseline compounds that hard, a timing rule has to be genuinely predictive, not just lucky during one bull run, to add anything. In a market that trades around the clock and moves violently, most rules here simply stepped out of moves that holding captured for free.
The best-looking candidate was Lorentzian Classification on the weekly timeframe, posting an out-of-sample Sharpe of 0.53 against a multiple-testing hurdle of 2.23. That hurdle exists because picking the top result from 638 attempts manufactures apparent skill by construction. Only 99.3%% of setups beat holding at all, and the leader's edge did not hold up across 2.6 years of unseen data. Read this as evidence, not prophecy: crypto market structure shifts quickly, past performance does not predict future results, and a verdict of nothing today is a finding about history, not a forecast.
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.
Lorentzian Classification
Mechanical rule (exactly as backtested): k-nearest-neighbor classifier over oscillator features (Lorentzian distance) — long when the most-similar past bars led higher. Signals are evaluated at weekly-bar close, the position changes on the NEXT bar, 0.08% cost per side, long/flat only — no leverage, no shorting.
Out-of-sample (last ~30% of the window, never used to pick this setup): Sharpe 0.53 · alpha +67.6% · 20 trades over 2.6 yrs.
Ulcer Index
Mechanical rule (exactly as backtested): Peter Martin's downside-risk gauge — long in calm (low-ulcer) uptrends. Signals are evaluated at daily-bar close, the position changes on the NEXT bar, 0.08% cost per side, long/flat only — no leverage, no shorting.
Out-of-sample (last ~30% of the window, never used to pick this setup): Sharpe 0.47 · alpha +51.1% · 28 trades over 3.8 yrs.
KDJ
Mechanical rule (exactly as backtested): Stochastic KDJ with the J line — long when K leads D and J turns up. Signals are evaluated at weekly-bar close, the position changes on the NEXT bar, 0.08% cost per side, long/flat only — no leverage, no shorting.
Out-of-sample (last ~30% of the window, never used to pick this setup): Sharpe 0.46 · alpha +64.8% · 11 trades over 2.6 yrs.
Since publication — including if it loses
The forward record is just getting started — the gap between the two is the honest score. Marked to market nightly from real prices, rules frozen at publication, as of 2026-06-29. Currently FLAT.
We tested 638 setups (indicator × parameters × timeframe) on Decentraland. Only setups with ≥30 trades qualify (402 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 638 tries mines even the holdout, the VALIDATED verdict additionally requires the top setup’s OOS Sharpe to clear a selection hurdle of 2.23 (√(2 ln N)/√T) AND positive alpha in both windows. Of the eligible setups, 99.3% had positive out-of-sample alpha (median OOS Sharpe -0.12) — the table below is truncated, but this summary covers all of them. Full recipe: methodology · the engine’s contract lives in the repo as STRATEGY_METHODOLOGY.md.
Top 20 of 402 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 | Lorentzian Classification | Weekly | +189.1% | 0.38 | -77.6% | 51.3% | 39 | -10.1% | 0.53 | +67.6% | 20 |
| 2 | Ulcer Index | Daily | +15.6% | 0.28 | -80.9% | 33.0% | 88 | -11.0% | 0.47 | +51.1% | 28 |
| 3 | KDJ | Weekly | +79.0% | 0.43 | -76.9% | 34.3% | 35 | -16.2% | 0.46 | +64.8% | 11 |
| 4 | ZLEMA 30 Trend | Daily | -27.2% | 0.29 | -94.1% | 41.0% | 256 | -14.7% | 0.44 | +49.8% | 67 |
| 5 | Williams Alligator | Daily | >+999% | 0.69 | -80.3% | 45.8% | 120 | +25.5% | 0.41 | +48.1% | 29 |
| 6 | Range Filter | Daily | +861.6% | 0.49 | -74.8% | 47.6% | 170 | +7.7% | 0.37 | +46.4% | 41 |
| 7 | Keltner 20 Break | Daily | >+999% | 0.57 | -69.1% | 49.2% | 65 | +15.5% | 0.35 | +45.4% | 18 |
| 8 | Acceleration Bands | Daily | >+999% | 0.57 | -74.1% | 43.9% | 107 | +14.5% | 0.34 | +45.4% | 33 |
| 9 | Bollinger 10 (x1.5) Break | Daily | +306.0% | 0.4 | -87.2% | 47.6% | 206 | -0.3% | 0.34 | +45.3% | 57 |
| 10 | LSMA 100 Trend | Daily | >+999% | 0.6 | -83.9% | 39.2% | 97 | +13.2% | 0.32 | +43.5% | 37 |
| 11 | Ichimoku Cloud | Daily | >+999% | 0.72 | -76.0% | 40.0% | 50 | +25.6% | 0.31 | +43.4% | 20 |
| 12 | FRAMA 200 Trend | Weekly | +73.7% | 0.32 | -79.7% | 31.2% | 32 | -16.5% | 0.29 | +51.6% | 14 |
| 13 | Bollinger 30 (x2.0) Break | Daily | >+999% | 0.57 | -68.2% | 48.8% | 86 | +12.3% | 0.29 | +43.7% | 25 |
| 14 | Keltner 50 (x2.0) | Daily | +812.1% | 0.52 | -85.3% | 37.9% | 58 | +7.2% | 0.29 | +43.4% | 18 |
| 15 | QQE MOD | Daily | +575.6% | 0.5 | -78.3% | 43.5% | 131 | +4.3% | 0.28 | +41.7% | 32 |
| 16 | Squeeze Momentum | Daily | -35.7% | 0.22 | -79.5% | 38.3% | 162 | -15.7% | 0.27 | +41.4% | 40 |
| 17 | Elder Ray (Bull/Bear Power) | Daily | >+999% | 0.73 | -77.4% | 41.2% | 199 | +30.1% | 0.27 | +41.3% | 48 |
| 18 | Pascal's Weighted MA | Daily | >+999% | 0.57 | -78.7% | 39.9% | 148 | +12.0% | 0.27 | +41.1% | 36 |
| 19 | Stochastic (10,3) | Weekly | +125.0% | 0.46 | -87.4% | 36.2% | 47 | -13.3% | 0.26 | +49.3% | 16 |
| 20 | Williams %R (50) | Daily | >+999% | 0.66 | -79.1% | 30.2% | 96 | +19.1% | 0.26 | +40.8% | 28 |
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.