We re-measured all — strategies
so you don't trade the wrong ones.
Every strategy in the Quant Desk vault, run through our own engine rather than trusted on its sheet: — instruments, five styles, five timeframes, — trades. The verdict is blunt. Aggregate expectancy is —R, — of — scored configs clear PF 1.2, and exactly — clear both a real sample and a real edge. A further — produced no trades at all. No cherry-picking — here's the whole vault.
Every style loses on aggregate.
Trade-weighted expectancy per bucket, and the share of configs that clear PF 1.2. Not one of the 24 populated buckets is positive. Mean reversion is the least bad style at −0.075R and breakout the worst at −0.110R, but that is a ranking of losses, not a shortlist of winners.
Cell value is trade-weighted E[R] in R-multiples, derived as (1−win rate) × (PF − 1) from each strategy's measured win rate and profit factor; redder is worse. Even the best bucket — H4 breakout at −0.017R — sits below breakeven. The edges live in a handful of specific strategies, not in any bucket average.
— credible edges out of —.
The only strategies with a real sample and a real edge: at least 60 trades, profit factor above 1.2, positive expectancy. Ranked by expectancy. Gold and the majors on H1 own most of the list — and the best of them still clears breakeven by less than a quarter of an R.
High profit factor, almost no trades.
Profit factor against trade count, for all — scored strategies. The vault's single most attractive-looking number is EURCAD on H1 at profit factor 86 — on six trades. Pick that and you are buying noise with a decimal point. The green band is the only zone worth trusting.