Does anything beat buy & hold on SushiSwap?
Every setup we tested on SushiSwap — 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.
Beat buy-and-hold in both windows — but can't be told apart from selection luck.
Beat buy-and-hold in both the full window and out-of-sample but its OOS Sharpe 1.72 did not clear the 2.25 selection hurdle (best-of-N luck cannot be ruled out). Buy-and-hold benchmark: -28.7% CAGR over 8.4 years (-46.1% CAGR in the out-of-sample window).
Educational research from historical backtests — not investment advice. Past performance does not predict future results.
SushiSwap (SUSHI): Beat Buy-and-Hold in Both Windows, Couldn't Beat the Selection Hurdle
Crypto sets a brutal baseline: SushiSwap compounds at -28.7% annualized just for holding, and it charges drawdowns near -88.0% for the privilege. Against that backdrop we ran 573 indicator configurations on SUSHI. The best of them — Connors RSI-2 on the daily timeframe — beat buy-and-hold in both the training and holdout windows, with a profitable out-of-sample trade profile across 102 trades. That is genuinely uncommon here. But 'best of 573' is exactly the phrase that should make you slow down, which is what the second paragraph is for.
When you pick the winner from 573 attempts, the result is partly signal and partly luck of the draw. Our hurdle corrects for that: with this many tries and 2.5 years of holdout data, an out-of-sample Sharpe needs to clear 2.25 before we trust it. This one landed at 1.72 — profitable, but statistically indistinguishable from the luckiest of hundreds of tries. Add that crypto structure keeps changing — new venues, new participants, shifting volatility regimes — and a pattern from the past has no obligation to repeat. Treat this as a research lead, not an edge.
Every figure above is computed from our own backtests — nothing is estimated or invented. Hypothetical results; not investment advice.
Top setups as mechanical rules
Exactly as the backtest defined them — no discretionary steps, no hidden filters.
Connors RSI-2
Mechanical rule (exactly as backtested): Larry Connors' mean-reversion — buy RSI(2) below 10, exit above 70. 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 1.72 · alpha +155.1% · 40 trades over 2.5 yrs.
Connors RSI
Mechanical rule (exactly as backtested): Connors' composite RSI (price + streak) — buy below 20, exit above 70. 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 1.67 · alpha +160.9% · 43 trades over 2.5 yrs.
Bollinger Mean-Reversion
Mechanical rule (exactly as backtested): Buy the lower band, sell the middle — fade stretches below the 20/2 band. 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 0.85 · alpha +77.7% · 12 trades over 2.5 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 2026-07-02. Currently FLAT.
We tested 573 setups (indicator × parameters × timeframe) on SushiSwap. Only setups with ≥30 trades qualify (332 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 573 tries mines even the holdout, the VALIDATED verdict additionally requires the top setup’s OOS Sharpe to clear a selection hurdle of 2.25 (√(2 ln N)/√T) AND positive alpha in both windows. Of the eligible setups, 85.5% had positive out-of-sample alpha (median OOS Sharpe -0.28) — 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 332 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 | Connors RSI-2 | Daily | +57.3% | 0.39 | -88.0% | 58.8% | 102 | +34.2% | 1.72 | +155.1% | 40 |
| 2 | Connors RSI | Daily | +327.3% | 0.58 | -86.2% | 54.1% | 111 | +47.5% | 1.67 | +160.9% | 43 |
| 3 | Bollinger Mean-Reversion | Daily | -49.5% | 0.12 | -87.6% | 45.5% | 33 | +20.9% | 0.85 | +77.7% | 12 |
| 4 | Fibonacci Bands | Daily | -49.5% | 0.12 | -87.6% | 45.5% | 33 | +20.9% | 0.85 | +77.7% | 12 |
| 5 | LSMA 200 Trend | Daily | -60.6% | 0.1 | -89.4% | 26.9% | 52 | +18.2% | 0.66 | +71.8% | 13 |
| 6 | T3 8/21 Cross | Daily | +331.6% | 0.59 | -76.2% | 36.1% | 36 | +47.6% | 0.61 | +67.7% | 11 |
| 7 | Ichimoku TK Cross | Daily | +224.3% | 0.54 | -92.2% | 33.3% | 48 | +43.6% | 0.58 | +65.3% | 14 |
| 8 | Keltner 20 Break | Daily | -11.7% | 0.16 | -60.9% | 47.4% | 57 | +27.2% | 0.57 | +62.2% | 13 |
| 9 | Range Filter | Daily | +147.9% | 0.42 | -82.4% | 48.1% | 108 | +40.0% | 0.56 | +61.6% | 21 |
| 10 | Ehlers Stochastic | Daily | +452.2% | 0.63 | -94.4% | 39.1% | 46 | +51.1% | 0.51 | +60.3% | 16 |
| 11 | Bollinger 50 (x2.5) Break | Daily | +4.6% | 0.17 | -59.4% | 43.3% | 30 | +29.2% | 0.51 | +58.8% | 10 |
| 12 | Bollinger 30 (x2.0) Break | Daily | -2.0% | 0.17 | -72.1% | 50.0% | 66 | +28.4% | 0.47 | +57.7% | 19 |
| 13 | Ulcer Index | Daily | +433.0% | 0.62 | -65.7% | 35.2% | 54 | +50.6% | 0.44 | +56.7% | 15 |
| 14 | Even Better Sinewave | Daily | +75.0% | 0.5 | -88.9% | 29.3% | 41 | +35.5% | 0.44 | +55.9% | 12 |
| 15 | Gator Oscillator | Daily | -71.0% | -0.15 | -84.2% | 41.1% | 95 | +15.0% | 0.41 | +55.9% | 19 |
| 16 | Vertical Horizontal Filter | Daily | +518.8% | 0.66 | -66.9% | 40.9% | 44 | +52.8% | 0.41 | +55.2% | 12 |
| 17 | Demand Index | Daily | -94.1% | -0.11 | -97.4% | 47.6% | 84 | +0.2% | 0.41 | +51.4% | 34 |
| 18 | Acceleration Bands | Daily | -34.4% | 0.15 | -85.3% | 40.0% | 80 | +23.8% | 0.39 | +54.2% | 17 |
| 19 | WMA 10/40 Cross | Daily | +424.8% | 0.63 | -93.2% | 24.3% | 37 | +50.4% | 0.39 | +52.1% | 10 |
| 20 | Detrended Price Osc. | Daily | -53.3% | 0.24 | -91.8% | 53.0% | 232 | +20.1% | 0.39 | +50.1% | 78 |
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.