What we tested — and what broke.

Over 13 lengths × 2 average types × 3 timeframes × 3 instruments, 9 is the best length in 1 of 18 configurations — chance alone would give about 2. It is statistically indistinguishable from its own neighbours (7, 8, 10, 11) in 14 of those 18, and where it does separate, 2 of the 4 favour the neighbours.

A self-fulfilling level has a testable signature: a discontinuity at exactly 9. Lengths 8 and 10 smooth the same tape almost identically, so anything separating 9 from them is attention rather than arithmetic. The measured curve is smooth and monotone — longer is better, straight through the 20 the source calls "too laggy" — which is the signature of a smoothing parameter and of nothing else. A 9 EMA is also not lower-lag than a 9 SMA: both have their centre of mass at 4.0 bars by construction. It is worse than the plain SMA in 15 of 18 cells.

The win rate broadly survives — 47.6% against a claimed 60%, comfortably above the 25% a driftless 3:1 barrier would give. The payoff does not: the realised reward-to-risk measures 1.03:1, not 3:1. Expectancy lands at −0.026R with a confidence interval straddling zero.

A lagging average cannot fill you where it crosses. By the time a 9 EMA crosses VWAP, price has already travelled — the median fill lands well above the crossing level, which widens the risk leg and shortens the reward leg in the same motion. The nominal 3:1 is measured from the level; the trade is taken from the fill. Note the trap in the obvious follow-up: reward-to-risk falls with entry lag as an arithmetic identity, so that relationship is not evidence about anything — and expectancy is roughly zero at every fill distance.

Negative on 11 of 11 instruments and in every one of 23 declared cells — and, the sharpest number here, worse than its own drift-matched placebo. The RSI filter adds +0.029R while discarding 84% of trades, which is not a filter, it is a smaller sample.

The cost of the stop the source never states. Stopping at the signal bar's extreme is gross-positive (+0.031R) but pays 0.272R per trade in transaction cost; stopping at the opposite band costs almost nothing and has no gross edge at all (a 54.4% win rate against a 57.8% break-even). No stop distance reconciles the two. There is also a structural problem with the setup's own framing: a 2σ break IS price leaving its range, so "sideways" and "2σ break" compete rather than stack — across 13,989 triggers, exactly zero also satisfied the range, divergence and support/resistance conditions the source shows together.

−0.097R over 60,169 trades on 22 FX pairs, and the excess over its own placebo is −0.003 against a bar of +0.20. Out of sample it is positive on 2 of 22 instruments.

It is a cost story, and an unusually clean one: gross expectancy is genuinely positive at +0.025R, and transaction cost turns it into −0.097R. The rule finds something; it does not find enough to pay the spread it must cross to collect it. Five rounds of testing across timeframes did not change that, which is what closed the family.

Every one of 8 pre-declared cells is net-negative on both vendors, none within 0.24R of the bar. But the finding that outlives the verdict is the mechanism: on planted trend worlds the identical zones and stops earn +0.55R entered at the zone's birth and −0.09R entered on the retest.

Waiting for the pullback is not a better price — it is a filter that discards the trades the pattern is about. 27% of zones never retest at all, and those are precisely the strongest continuations; the 73% that do come back are disproportionately the ones where continuation is already failing. The retest entry is structurally anti-selected against the very thing it claims to harvest. This is the most useful thing on this page, because it is a reason rather than a verdict.

The timing content is empty: the median wait from an extreme reading to a big day is 4.5 days, against 6.9 days from any randomly chosen day (p = 0.25). "A big move within one to two weeks" is true essentially always.

The indicator is inverse volatility — median volatility divided by current volatility — which means it can only come down via the move it is said to predict. A demonstration where the line falls as the move arrives is not evidence; it is the construction. Across four arms there was no support for extreme compression producing larger forward moves, and the dose-response ran toward persistence rather than squeeze-transition: the largest forward moves sat in the LOWEST readings on 3 of 4 arms.

The premise checks out and the conclusion does not. Volatility really is lower before a release — gold at 0.90× and EURUSD at 0.88× their normal range, both intervals excluding 1.0. But orders that filled into a release averaged slightly BETTER, not worse.

The quiet hour before a release is real, and it is why the advice feels right. What it does not establish is that the release itself is where pending orders lose money. Once the actual fills are measured rather than the volatility around them, standing aside removes trades that were, on average, marginally profitable — so the blackout costs opportunity and buys nothing measurable.