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Backtest

Pyramid SMR vs Silver Bullet vs Combined — Real Numbers

We run two independent strategies in parallel. Pyramid SMR (5y forward-tested, 6 cells across 5 assets) and Silver Bullet (5y rule-validated, 12 cells across 11 assets). Compounding them sequentially (pyramid-then-SB gate) destroys edge — 1y backtest result: -0.0083R per trade. Running both in parallel preserves edge for both (+0.46R and +0.30R respectively). The math + numbers below.

Side-by-side

Every metric, both strategies, and the combined portfolio

Metric Pyramid SMR alone Silver Bullet alone Combined parallel
Trades / year ~1700 ~250 ~1950
Avg R per trade +0.46R +0.30R +0.43R (weighted)
Win rate 28% 28% 28%
R : R 6 : 1 4 : 1 varies by cell
Avg trades / day ~7 ~1.5 ~8.5
Cells live 6 12 18
Assets covered 5 11 14 (unique)
5y CAGR (haircut) ~250% / yr ~150% / yr ~400% / yr
5y max drawdown ~50% ~40% ~47%

5y CAGR + max DD figures apply a 30% execution haircut to theoretical edge (slippage, missed entries, prop-firm caps). Win rate is identical across the three because both strategies share the same R-multiple asymmetry — edge comes from the right tail, not from being right more often.

Killed thesis

Why we do NOT compound the two strategies

Compound trigger (pyramid-then-SB gate) was KILLED in our 2026-05-30 research.

Lesson: SB's edge = cell selection, not pattern. Any "quality filter" that does not actually narrow the cell distribution will be net-negative once execution friction is priced in.

Mechanism

Why running both in parallel works

Apply it

What this means for you

FAQ

Which strategy makes more money?

Pyramid SMR has the higher per-trade edge (+0.46R vs +0.30R) and roughly 7x more trades per day, so it compounds faster on paper (~250% vs ~150% CAGR with a realistic haircut). Silver Bullet has a slightly smoother equity curve and a lower max drawdown (~40% vs ~50%), so it is the better fit for accounts that need to pass a prop-firm DD limit. In our live portfolio we run both because they are uncorrelated at the cell level — different assets, different NY hours, different setups.

Can I follow only pyramid or only Silver Bullet?

Yes. We post both portfolios on the free Telegram channel, tagged by portfolio (and by asset), so you can follow either one independently — or just the cells you care about (e.g. SB cells on indices only, or pyramid cells on FX only). We run both side by side because the parallel combination beats either alone on risk-adjusted return.

Why not add a third strategy?

We have tested seven other ICT/SMC frameworks (CISD, BPR, turtle soup, marubozu, breaker blocks, stop hunts, IFVG) on the same 1-year forward-test bar — five of them came back below breakeven after costs and two of them passed but inside cells already covered by pyramid or Silver Bullet, so adding them would correlate trades rather than diversify them. We will add a third strategy when (and only when) it passes walk-forward validation AND covers uncorrelated cells.

Is the compound thesis really dead?

Yes — and we have the numbers. The 2026-05-30 cell-sweep refresh tested "fire SB only when a pyramid event triggered within the prior 8 hours" as a quality gate. Result: compound expectancy was -0.0083R per trade, vs +0.4598R for pyramid alone and +0.3044R for SB alone. The reason: 99.9% of pyramid events had a compound SB pattern within 8 hours, so the gate did not filter anything — it only added entry friction and slippage. Silver Bullet's edge is the hour-of-day x asset cell selection, not the FVG + 5th-candle pattern itself. Stacking the two patterns on top of each other adds noise, not signal.

How were the 5-year CAGR numbers calculated?

We took the 1-year forward-tested R per trade and trade count per strategy, applied a realistic execution haircut (30% of theoretical edge lost to slippage, missed entries, and platform downtime), then compounded with fixed-fractional sizing (2% risk per trade, capped at per-cell budget). The 5-year max drawdown was measured peak-to-trough across the worst contiguous 30-day window of the haircut equity curve. These are projections, not realised returns — your live result will differ depending on broker fills, prop-firm rules, and which subset of cells you run.

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