MODEL ADOPTION #1875: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 6 — improves win rate from 32.0% to 42.2% — E8 Intelligence Research

Q: What does this research mean for the field?

Applying a minimum confirmation filter of >= 6 to trading entries is a time-based proxy that overfits to low-volatility regimes and reduces net expectancy by missing high-quality early fades. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Andrew Stewart Caldin

doi:10.5281/zenodo.22469859

September 6, 2026Open Access

MODEL ADOPTION #1875: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 6 — improves win rate from 32.0% to 42.2% — E8 Intelligence Research

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Key Points

To determine whether enforcing a minimum confirmation threshold improves structural trade edge and execution quality in algorithmic fade models.
Evaluated historical signal performance using a confirmation-count filter threshold of at least six confirmations.
Assessed trade entry latency, risk-to-reward dynamics, and overlap with existing gating mechanisms during volatile market regimes.
Historical win rate increased from 32.0% to 42.2% (+10.2 percentage points) under the confirmation threshold.
Expected out-of-sample win rate was projected to rise only 3–5 percentage points, accompanied by flat or negative net expectancy due to missed early fade entries.
High average true range regimes induced execution lag, resulting in worse price fills, increased slippage, and redundancy with existing entry gates.

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Implication

Backtest evaluation demonstrates increased win rates with confirmation filters in algorithmic trading, suggesting degraded net expectancy due to delayed trade execution.

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Cite This Study

Andrew Stewart Caldin (2026) studied this question.

synapsesocial.com/papers/6a9fd76758e84d0ff5b460d5 https://doi.org/10.5281/zenodo.22469859

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MODEL ADOPTION #1875: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 6 — improves win rate from 32.0% to 42.2% — E8 Intelligence Research

Key Points

No abstract yet

Implication

Discussion

Cite This Study

MODEL ADOPTION #1875: REJECT — LEDGER BENCH: Apply filter: Min confirmations >= 6 — improves win rate from 32.0% to 42.2% — E8 Intelligence Research

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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