MODEL ADOPTION #2128: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 5 — improves win rate from 32.0% to 33.6% — E8 Intelligence Research

Q: What does this research mean for the field?

The proposed 'min confirmations >= 5' trading filter is a statistical artifact driven by survivorship bias rather than a genuine edge, and its implementation would likely degrade net profitability by delaying entries during fast-trend regimes. Novelty: ClaimNovelty.CONTRADICTORY. Consensus alignment: ConsensusAlignment.NEUTRAL.

Andrew Stewart Caldin

doi:10.5281/zenodo.22732826

September 13, 2026Open Access

MODEL ADOPTION #2128: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 5 — improves win rate from 32.0% to 33.6% — E8 Intelligence Research

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Key Points

To determine whether requiring a minimum threshold of five confirmation signals produces a genuine mathematical edge in trading model execution.
Evaluated trade performance alterations under a 'min confirmations >= 5' rule across a sample of N = 1,354 trades.
Outlined prospective validation requirements using a 12-month historical replay with out-of-sample walk-forward testing (6 months training, 6 months testing).
The filter increased win rate from 32.0% to 33.6% (+1.6 percentage points, n = 1,354), falling within expected statistical noise (σ ≈ 1.3 percentage points).
Model filtering introduced a 5% to 10% loss in trade frequency with an estimated true effect size of ≤ 0.5 percentage points, yielding flat or negative net PnL.
The confirmation lag selectively suppressed early entries during fast-trend acceleration regimes and biased execution toward low-volatility, mean-reverting environments.

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Implication

Quantitative backtest demonstrates statistically insignificant win-rate gains in execution models, indicating confirmation delays degrade core breakout profitability.

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Andrew Stewart Caldin (2026) studied this question.

synapsesocial.com/papers/6aa7b41e0926e14a848b39c2 https://doi.org/10.5281/zenodo.22732826

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MODEL ADOPTION #2128: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 5 — improves win rate from 32.0% to 33.6% — E8 Intelligence Research

Key Points

No abstract yet

Implication

Discussion

Cite This Study

MODEL ADOPTION #2128: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 5 — improves win rate from 32.0% to 33.6% — E8 Intelligence Research

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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