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IDEA: Adjustment made to the live model — verify against the backtests: Apply filter: Pool density HIGH (>=90) — improves win rate from 31.5% to 33.0% (+1.4pp, n=1908) SAME-WINDOW EFFECT: Applying the pool density ≥90 filter would have excluded the three wkjudas entries (GBPUSD LONG, USDJPY SHORT, NZDUSD SHORT) — all three closed as LOSSES. Removing those three losses from the 10-trade window would shift the record from 4W/3L/3open to 4W/0L/3open, a clear PnL improvement. However, the two rizzy5m REJECTED/open trades (EURJPY SHORT, AUDUSD LONG) would remain, and their eventual outcomes are unknown — so the realized win rate would rise from ~57% (4/7 closed) to 100% (4/4 closed) on the filtered set, but the sample is tiny and the filter's benefit here is driven entirely by one signal source's poor recent performance. OVER-TIME PROJECTION: Over 3–6 months, a density ≥90 filter could plausibly sustain a +1.4pp win-rate gain if the underlying pool-density metric correlates with regime qu Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
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Andrew Stewart Caldin (2026) studied this question.
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