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Momentum–Structure Asymmetry
This study operationalizes a second-order momentum–price decoupling framework in which localized extrema of a bounded oscillator are conditionally sampled at structurally validated inflection points of the underlying price series. By enforcing temporal symmetry in extrema confirmation and subsequently evaluating the directionality of inter-extrema displacement across heterogeneous state spaces (price vs. momentum), the model isolates regimes where apparent oscillator weakness or strength is statistically incongruent with higher-order directional persistence in price. Such configurations are interpreted not as terminal disequilibria but as transient redistributions of informational load within an ongoing trend, thereby capturing continuation-biased dynamics rather than mean-reverting behavior. Noise suppression is further enhanced through amplitude-based filtering in both absolute and relative domains, ensuring that only materially significant divergence manifolds are admitted into the signal set.
This study operationalizes a second-order momentum–price decoupling framework in which localized extrema of a bounded oscillator are conditionally sampled at structurally validated inflection points of the underlying price series. By enforcing temporal symmetry in extrema confirmation and subsequently evaluating the directionality of inter-extrema displacement across heterogeneous state spaces (price vs. momentum), the model isolates regimes where apparent oscillator weakness or strength is statistically incongruent with higher-order directional persistence in price. Such configurations are interpreted not as terminal disequilibria but as transient redistributions of informational load within an ongoing trend, thereby capturing continuation-biased dynamics rather than mean-reverting behavior. Noise suppression is further enhanced through amplitude-based filtering in both absolute and relative domains, ensuring that only materially significant divergence manifolds are admitted into the signal set.
- Employs a second-order price–momentum asymmetry framework rather than direct signal-based oscillation triggers
- Samples oscillator extrema only at structurally confirmed price inflection points, enforcing temporal symmetry
- Evaluates directional inconsistency across heterogeneous state spaces (price vs. bounded momentum)
- Interprets divergence as transient informational redistribution, not exhaustion or reversal
- Biased toward continuation regimes, explicitly excluding mean-reversion logic
- Integrates amplitude-based filtering in both absolute (oscillator) and relative (price) domains
- Admits only materially significant divergence manifolds, suppressing stochastic micro-noise
- Designed as a non-repainting, structure-conditioned momentum model rather than a heuristic indicator
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保護スクリプト
このスクリプトのソースコードは非公開で投稿されています。 ただし、制限なく自由に使用できます – 詳細はこちらでご確認ください。
免責事項
この情報および投稿は、TradingViewが提供または推奨する金融、投資、トレード、その他のアドバイスや推奨を意図するものではなく、それらを構成するものでもありません。詳細は利用規約をご覧ください。