Does anything beat buy & hold on Artificial Superintelligence Alliance (FET)?
Every setup we tested on Artificial Superintelligence Alliance (FET) — 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's out-of-sample profit factor (0.85) is below 1 — it lost money per trade on unseen data. Buy-and-hold benchmark: -6.0% CAGR over 10.5 years (-55.0% CAGR in the out-of-sample window).
Educational research from historical backtests — not investment advice. Past performance does not predict future results.
Artificial Superintelligence Alliance: Nothing Beat Buy-and-Hold, and We Checked Everything
For Artificial Superintelligence Alliance, we ran 640 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 FET produced a buy-and-hold CAGR of -6.0%% — alongside a maximum drawdown of -54.1%%, 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 Bollinger 10 (x1.5) Break on the daily timeframe, posting an out-of-sample Sharpe of 0.6 against a multiple-testing hurdle of 2.01. That hurdle exists because picking the top result from 640 attempts manufactures apparent skill by construction. Only 98.9%% of setups beat holding at all, and the leader's edge did not hold up across 3.2 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.
Bollinger 10 (x1.5) Break
Mechanical rule (exactly as backtested): VARIANT — Bollinger(10,1.5) upper-band breakout. 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 0.6 · alpha +70.6% · 46 trades over 3.2 yrs.
Schaff Trend Cycle
Mechanical rule (exactly as backtested): Faster MACD-of-stochastics cycle — buy up through 25, exit above 75. 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 0.59 · alpha +65.6% · 23 trades over 3.2 yrs.
Order-Flow Reversion
Mechanical rule (exactly as backtested): Net-liquidity reversion — fades a 2-sigma price stretch only when signed-volume order-flow shows sellers are exhausted (imbalance z-score), exits on the mean. Needs real volume, so it abstains on feeds that don't report it. 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 0.56 · alpha +73.6% · 14 trades over 3.2 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 LONG.
We tested 640 setups (indicator × parameters × timeframe) on Artificial Superintelligence Alliance (FET). Only setups with ≥30 trades qualify (363 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 640 tries mines even the holdout, the VALIDATED verdict additionally requires the top setup’s OOS Sharpe to clear a selection hurdle of 2.01 (√(2 ln N)/√T) AND positive alpha in both windows. Of the eligible setups, 98.9% had positive out-of-sample alpha (median OOS Sharpe -0.3) — 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 363 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 | Bollinger 10 (x1.5) Break | Daily | +884.3% | 0.7 | -54.1% | 49.1% | 175 | +30.2% | 0.6 | +70.6% | 46 |
| 2 | Schaff Trend Cycle | Daily | +228.9% | 0.53 | -72.1% | 50.7% | 71 | +17.9% | 0.59 | +65.6% | 23 |
| 3 | Order-Flow Reversion | Daily | +449.6% | 0.56 | -69.6% | 65.6% | 32 | +23.5% | 0.56 | +73.6% | 14 |
| 4 | Derivative Oscillator | Daily | +618.4% | 0.59 | -72.0% | 40.7% | 182 | +26.5% | 0.48 | +68.9% | 55 |
| 5 | Keltner 10 (x1.5) | Daily | +907.0% | 0.77 | -36.2% | 53.7% | 67 | +30.5% | 0.43 | +62.6% | 17 |
| 6 | TEMA 10/30 Cross | Daily | +505.2% | 0.59 | -84.8% | 43.1% | 102 | +24.6% | 0.41 | +60.6% | 27 |
| 7 | Ultimate Osc (4,8,16) | Daily | >+999% | 0.81 | -66.8% | 48.7% | 269 | +46.7% | 0.4 | +61.2% | 83 |
| 8 | Bollinger Mean-Reversion | Daily | +0.8% | 0.33 | -81.3% | 62.8% | 43 | +6.0% | 0.38 | +60.1% | 16 |
| 9 | Fibonacci Bands | Daily | +0.8% | 0.33 | -81.3% | 62.8% | 43 | +6.0% | 0.38 | +60.1% | 16 |
| 10 | Pivot Points (Standard) | Weekly | -86.5% | 0.1 | -93.0% | 47.8% | 46 | -16.9% | 0.33 | +63.1% | 19 |
| 11 | Waddah Attar Explosion | Daily | >+999% | 0.75 | -59.0% | 42.5% | 146 | +37.3% | 0.32 | +59.1% | 41 |
| 12 | Advance Trend Pressure | Daily | +209.2% | 0.48 | -84.9% | 47.1% | 153 | +17.3% | 0.3 | +56.8% | 42 |
| 13 | Accelerator Oscillator | Daily | +62.1% | 0.45 | -91.9% | 38.8% | 160 | +10.6% | 0.28 | +52.1% | 43 |
| 14 | Delta Volume (CVD proxy) | Daily | >+999% | 0.75 | -70.4% | 43.8% | 162 | +40.2% | 0.25 | +52.5% | 50 |
| 15 | VWAP Bands | Daily | -76.0% | 0.14 | -86.5% | 57.4% | 47 | -6.7% | 0.24 | +50.2% | 17 |
| 16 | Hull MA 100 Trend | Daily | >+999% | 1.26 | -64.8% | 38.9% | 54 | +98.2% | 0.23 | +55.0% | 15 |
| 17 | Ehlers Roofing Filter | Daily | >+999% | 0.81 | -84.3% | 45.2% | 42 | +46.9% | 0.23 | +47.5% | 13 |
| 18 | Volume Zone Oscillator | Daily | >+999% | 0.75 | -93.0% | 42.3% | 291 | +40.2% | 0.21 | +49.9% | 86 |
| 19 | KDJ | Daily | +398.0% | 0.56 | -81.7% | 38.7% | 256 | +22.4% | 0.21 | +46.5% | 68 |
| 20 | WaveTrend (8/6/4) | Daily | -92.2% | 0.11 | -98.2% | 52.6% | 38 | -15.5% | 0.21 | +42.2% | 13 |
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.