What question did this study set out to answer?

Evaluate the effectiveness of a filter requiring a minimum of five confirmations in trading models.

August 13, 20260 citationsOpen Access

MODEL ADOPTION #888: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 5 — improves win rate from 31.5% to 33.1% — E8 Intelligence Research

Key Points

Evaluate the effectiveness of a filter requiring a minimum of five confirmations in trading models.
Analyzed backtest data with a sample size of 1315 trades.
Assessed live projections with a small sample size of 10 trades.
Reviewed alignment with E8 geometry and trading ideologies.”],
The filter showed a marginal gain of +1.5 percentage points in win rate but was deemed statistically insignificant.
Projected outcomes indicated a potential reduction in trade count by 10-20%, which could impact overall profitability.
High-conviction setups with fewer confirmations may be unjustly rejected, leading to possible lower net profits.

Abstract

DECISION: REJECT ELEMENT: The filter "min confirmations >= 5" is not a concrete, testable edge compatible with E8 geometry timing. It is a statistical artifact from a small backtest (n=1315) with a marginal +1.5pp gain, and the live shadow projection (n=10) is too small to validate. The filter does not align with the rhythm logic of Gods-Clock or FADE polarity — it is a generic threshold that could reject high-conviction setups that naturally have fewer confirmations due to market microstructure or timing constraints. EXPECTED IMPACT: Negligible to negative. The +1.5pp win-rate gain is within noise range for a 1315-sample backtest. The filter would reduce trade count by ~10-20%, potentially capping absolute returns. The rejected winners (e.g., high-conviction setups with 4 confirmations) could offset any win-rate improvement, leading to flat or lower net profit. RISK: The filter introduces a false sense of precision. It may reject genuine E8-timed entries that have low confirmations Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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