MODEL ADOPTION #857: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.5% t — E8 Intelligence Research

Q: What question did this study set out to answer?

This analysis critiques the phase distance filter and its claimed improvement in win rate for trading strategies.

Andrew Stewart Caldin

doi:10.5281/zenodo.21867480

August 10, 2026Open Access

MODEL ADOPTION #857: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.5% t — E8 Intelligence Research

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Key Points

This analysis critiques the phase distance filter and its claimed improvement in win rate for trading strategies.
Evaluated the phase distance filter ≤2° using a sample size of 391 trades.
Analyzed win-rate gain of 3.8pp and its validation against E8-node and Gods-Clock rhythm logic.
Assessed potential risks of overfitting and market regime effects on trading performance.
The 3.8pp improvement in win rate is unvalidated and may result from market noise (binomial standard error ~2.4pp).
Projected trade frequency reduction of 10-15% due to the filter's constraints.
The filter risks rejecting profitable trades with wider phase distances, indicating a flaw in strategy.

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Implication

Model Adoption Rejection demonstrates negligible impact of a phase distance filter on win rates in trading, suggesting limitations under market conditions.

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Cite This Study

Andrew Stewart Caldin (2026) studied this question.

synapsesocial.com/papers/6a7c3d1906a85aed514b7cda https://doi.org/10.5281/zenodo.21867480

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MODEL ADOPTION #857: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.5% t — E8 Intelligence Research

Key Points

No abstract yet

Implication

Discussion

Cite This Study

MODEL ADOPTION #857: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.5% t — E8 Intelligence Research

Key Points

No abstract yet

Implication

Discussion

Cite This Study

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