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更新済 Delta Flux Engine v9.1
🔹 Delta Flux Engine v9.1 — Adaptive State-Shift Recognition Model
The Delta Flux Engine v9.1 is a proprietary multi-layer signal framework designed to detect transitional compression points within evolving price structures.
Instead of relying on conventional indicator interpretations, the engine uses a blend of dynamic gradient mapping, phase-biased flow filters, and context-driven polarity shifts to identify moments where market behaviour deviates from its surface trend.
This module evaluates:
Directional energy bias through adaptive smoothing fields
Short-cycle deformation variance within oscillatory pivots
Micro-structural inversion signatures during momentum realignment
Retail–phase residual noise vs. quant-phase structural flow
The system plots three independent signal layers representing baseline state pulses, context-filtered polarity shifts, and inverse structural traps that may indicate potential changes in behaviour density.
This tool is designed for advanced discretionary traders who understand:
Multi-phase flow mechanics
Behavioural displacement in momentum environments
Contextual compression and expansion states
The internal model structure is intentionally abstracted and parameter-reduced to preserve its proprietary design.
The Delta Flux Engine v9.1 is a proprietary multi-layer signal framework designed to detect transitional compression points within evolving price structures.
Instead of relying on conventional indicator interpretations, the engine uses a blend of dynamic gradient mapping, phase-biased flow filters, and context-driven polarity shifts to identify moments where market behaviour deviates from its surface trend.
This module evaluates:
Directional energy bias through adaptive smoothing fields
Short-cycle deformation variance within oscillatory pivots
Micro-structural inversion signatures during momentum realignment
Retail–phase residual noise vs. quant-phase structural flow
The system plots three independent signal layers representing baseline state pulses, context-filtered polarity shifts, and inverse structural traps that may indicate potential changes in behaviour density.
This tool is designed for advanced discretionary traders who understand:
Multi-phase flow mechanics
Behavioural displacement in momentum environments
Contextual compression and expansion states
The internal model structure is intentionally abstracted and parameter-reduced to preserve its proprietary design.
リリースノート
🔹 Delta Flux Engine v9.1 — Adaptive State-Shift Recognition ModelThe Delta Flux Engine v9.1 is a proprietary multi-layer signal framework designed to detect transitional compression points within evolving price structures.
Instead of relying on conventional indicator interpretations, the engine uses a blend of dynamic gradient mapping, phase-biased flow filters, and context-driven polarity shifts to identify moments where market behaviour deviates from its surface trend.
This module evaluates:
Directional energy bias through adaptive smoothing fields
Short-cycle deformation variance within oscillatory pivots
Micro-structural inversion signatures during momentum realignment
Retail–phase residual noise vs. quant-phase structural flow
The system plots three independent signal layers representing baseline state pulses, context-filtered polarity shifts, and inverse structural traps that may indicate potential changes in behaviour density.
This tool is designed for advanced discretionary traders who understand:
Multi-phase flow mechanics
Behavioural displacement in momentum environments
Contextual compression and expansion states
The internal model structure is intentionally abstracted and parameter-reduced to preserve its proprietary design.
招待専用スクリプト
このスクリプトは作者が承認したユーザーのみアクセス可能です。使用するにはアクセス申請をして許可を得る必要があります。通常は支払い後に承認されます。詳細は下記の作者の指示に従うか、alexrenzo97に直接お問い合わせください。
TradingViewは、作者を完全に信頼し、スクリプトの動作を理解していない限り、有料スクリプトの購入・使用を推奨しません。コミュニティスクリプトには無料のオープンソースの代替が多数あります。
作者の指示
The Delta Flux Engine v9.1 operates on a closed-form analytical structure.
All internal computations are intentionally compressed into abstract parameter groups (P1, P2, P3, H, L) to prevent reverse-engineering of the model.
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。
招待専用スクリプト
このスクリプトは作者が承認したユーザーのみアクセス可能です。使用するにはアクセス申請をして許可を得る必要があります。通常は支払い後に承認されます。詳細は下記の作者の指示に従うか、alexrenzo97に直接お問い合わせください。
TradingViewは、作者を完全に信頼し、スクリプトの動作を理解していない限り、有料スクリプトの購入・使用を推奨しません。コミュニティスクリプトには無料のオープンソースの代替が多数あります。
作者の指示
The Delta Flux Engine v9.1 operates on a closed-form analytical structure.
All internal computations are intentionally compressed into abstract parameter groups (P1, P2, P3, H, L) to prevent reverse-engineering of the model.
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。