Does anything beat buy & hold on Meta Platforms (META)?
Every setup we tested on Meta Platforms (META) — 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: +27.5% CAGR over 2.9 years (-20.0% CAGR in the out-of-sample window).
Educational research from historical backtests — not investment advice. Past performance does not predict future results.
META: we tested 1,450 setups and none beat simply holding Meta Platforms
For Meta Platforms (META), we ran 1,450 indicator configurations against a plain buy-and-hold benchmark, and none of them earned the right to replace it. Individual stocks carry idiosyncratic risk — earnings surprises, guidance changes, sector rotation — that indicators built on price history cannot see coming. The best-looking setup, Schaff Trend Cycle on the 1-hour timeframe, ranked at the top in-sample but delivered an out-of-sample Sharpe of 1.49, short of our hurdle of 4.02. Buy-and-hold returned +27.5% annualized over the test period; the top strategies mostly captured pieces of that same move while adding trading friction.
How to read this honestly: when you test 1,450 setups and keep the best one, something will always look impressive by chance alone. That is why we require the survivor to clear 4.02 out of sample. Schaff Trend Cycle managed 1.49, with out-of-sample alpha of +47.7% across 0.9 years and 150 trades, and only 36.0% of everything we tested beat the benchmark on unseen data — roughly what luck would produce. None of this predicts anything: the regime that generated these numbers can shift, and single stocks shift faster than most. Treat this page as a record of what failed under honest testing, 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.
Schaff Trend Cycle
Mechanical rule (exactly as backtested): Faster MACD-of-stochastics cycle — buy up through 25, exit above 75. Signals are evaluated at 1-hour-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 1.49 · alpha +47.7% · 44 trades over 0.9 yrs.
SMC: Change of Character
Mechanical rule (exactly as backtested): Follows market structure — long while making higher highs and higher lows, flat on lower highs and lows. 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 1.33 · alpha +14.8% · 10 trades over 4.2 yrs.
FRAMA 200 Trend
Mechanical rule (exactly as backtested): VARIANT — price above a rising FRAMA(200). 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 1.29 · alpha +14.3% · 12 trades over 4.2 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 FLAT.
We tested 1,450 setups (indicator × parameters × timeframe) on Meta Platforms (META). Only setups with ≥30 trades qualify (1,198 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 1,450 tries mines even the holdout, the VALIDATED verdict additionally requires the top setup’s OOS Sharpe to clear a selection hurdle of 4.02 (√(2 ln N)/√T) AND positive alpha in both windows. Of the eligible setups, 36.0% had positive out-of-sample alpha (median OOS Sharpe -0.06) — 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 1,198 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 | Schaff Trend Cycle | 1-Hour | +6.1% | 0.22 | -22.7% | 45.3% | 150 | -25.4% | 1.49 | +47.7% | 44 |
| 2 | SMC: Change of Character | Daily | >+999% | 0.96 | -44.4% | 74.2% | 31 | +4.8% | 1.33 | +14.8% | 10 |
| 3 | FRAMA 200 Trend | Weekly | +488.5% | 0.66 | -44.3% | 53.6% | 56 | -8.1% | 1.29 | +14.3% | 12 |
| 4 | Stochastic RSI | Daily | +487.5% | 0.73 | -37.6% | 68.2% | 107 | -8.2% | 1.26 | -2.5% | 30 |
| 5 | Supertrend (20,3) | Daily | +795.2% | 0.7 | -44.0% | 50.0% | 50 | -4.7% | 1.16 | +7.7% | 13 |
| 6 | Hammer | Daily | +62.3% | 0.38 | -20.1% | 62.5% | 72 | -18.2% | 1.15 | -16.6% | 21 |
| 7 | UT Bot (ATR Trailing) | Weekly | +636.5% | 0.65 | -43.8% | 55.6% | 45 | -6.3% | 1.13 | +6.7% | 12 |
| 8 | ZLEMA 200 Trend | Daily | +493.5% | 0.7 | -30.5% | 40.2% | 92 | -8.1% | 1.13 | -0.5% | 24 |
| 9 | Trend Magic | Weekly | >+999% | 0.86 | -36.0% | 64.7% | 34 | -0.2% | 1.12 | +6.4% | 12 |
| 10 | FRAMA 100 Trend | Weekly | +319.5% | 0.58 | -33.9% | 44.2% | 77 | -10.8% | 1.12 | +2.8% | 22 |
| 11 | ROC (60) | Daily | +540.9% | 0.63 | -32.4% | 40.2% | 92 | -7.5% | 1.11 | +3.5% | 27 |
| 12 | Twiggs Money Flow | Weekly | >+999% | 0.79 | -29.8% | 48.8% | 41 | -2.8% | 1.1 | +3.8% | 12 |
| 13 | SMA 15/60 Cross | Daily | >+999% | 0.9 | -30.0% | 54.5% | 33 | +2.0% | 1.1 | +3.1% | 11 |
| 14 | Rate of Change | Weekly | +682.7% | 0.68 | -42.0% | 58.3% | 48 | -5.8% | 1.09 | +5.3% | 14 |
| 15 | Ultimate Osc (4,8,16) | Weekly | +986.2% | 0.76 | -46.3% | 58.2% | 67 | -3.1% | 1.09 | +4.7% | 22 |
| 16 | EMA 100 Trend | Daily | >+999% | 0.82 | -33.3% | 44.7% | 76 | -0.2% | 1.09 | +3.6% | 18 |
| 17 | Disparity (100) | Daily | >+999% | 0.82 | -33.3% | 44.7% | 76 | -0.2% | 1.09 | +3.6% | 18 |
| 18 | Chande Kroll Stop | Weekly | >+999% | 0.88 | -47.0% | 51.6% | 31 | +3.9% | 1.07 | +8.7% | 10 |
| 19 | Triangular MA | Weekly | >+999% | 0.86 | -34.2% | 63.6% | 33 | +0.2% | 1.07 | +3.4% | 10 |
| 20 | Sine-Weighted MA | Weekly | >+999% | 0.84 | -34.2% | 64.7% | 34 | -0.4% | 1.07 | +3.4% | 10 |
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.