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August 11, 2026Open Access

MODEL ADOPTION #898: REJECT — LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31. — E8 Intelligence Research

Andrew Stewart Caldin

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Key Points

Evaluate the effectiveness of a 5–10° phase distance filter on win rate in trading strategies.
Analyzed a specific 5–10° phase distance filter against existing FADE polarity logic.
Assessed win rate changes in a sample size of 155 trades.
Identified potential overfitting issues related to chosen variables and sample size.
Claimed +2.0 percentage point improvement in win rate deemed marginal and likely inflated.
Filter may lead to a reduction in trade count due to rejecting potentially profitable setups.
Potential degradation of risk-adjusted returns due to missed opportunities.

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Implication

Rejected model filter shows marginal win rate improvement with potential negative impact on returns.

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Cite This Study

Andrew Stewart Caldin (2026) studied this question.

synapsesocial.com/papers/6a7d768a2b0e0cff3f63ff5f https://doi.org/10.5281/zenodo.21882987

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1MODEL ADOPTION #970: REJECT — LEDGER BENCH: Apply filter: Phase distance TIGHT (<=2deg) — improves win rate from 31.6% t — E8 Intelligence ResearchOriginal Research · 2026
2MODEL ADOPTION #841: REJECT — LEDGER BENCH: Apply filter: Phase distance FAR (>10deg) — improves win rate from 31.5% to — E8 Intelligence ResearchOriginal Research · 2026
3MODEL ADOPTION #841: REJECT — LEDGER BENCH: Apply filter: Phase distance FAR (>10deg) — improves win rate from 31.5% to — E8 Intelligence ResearchOriginal Research · 2026
4MODEL ADOPTION #964: REJECT — LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31. — E8 Intelligence ResearchOriginal Research · 2026
5MODEL ADOPTION #288: REJECT — LEDGER BENCH: Apply filter: Phase distance CLOSE (2-5deg) — improves win rate from 32.3% t — E8 Intelligence ResearchOriginal Research · 2026

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MODEL ADOPTION #910: REJECT — LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31. — E8 Intelligence Research2026
MODEL ADOPTION #910: REJECT — LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31. — E8 Intelligence Research2026
MODEL ADOPTION #2934: REJECT — LEDGER BENCH: Apply filter: Phase distance MODERATE (5-10deg) — improves win rate from 31. — E8 Intelligence Research2026