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已更新 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.
發行說明
🔹 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.
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僅作者批准的使用者才能訪問此腳本。您需要申請並獲得使用許可，通常需在付款後才能取得。更多詳情，請依照作者以下的指示操作，或直接聯絡alexrenzo97。
TradingView不建議在未完全信任作者並了解其運作方式的情況下購買或使用腳本。您也可以在我們的社群腳本中找到免費的開源替代方案。
作者的說明
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.
免責聲明
這些資訊和出版物並非旨在提供，也不構成TradingView提供或認可的任何形式的財務、投資、交易或其他類型的建議或推薦。請閱讀使用條款以了解更多資訊。
僅限邀請腳本
僅作者批准的使用者才能訪問此腳本。您需要申請並獲得使用許可，通常需在付款後才能取得。更多詳情，請依照作者以下的指示操作，或直接聯絡alexrenzo97。
TradingView不建議在未完全信任作者並了解其運作方式的情況下購買或使用腳本。您也可以在我們的社群腳本中找到免費的開源替代方案。
作者的說明
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.
免責聲明
這些資訊和出版物並非旨在提供，也不構成TradingView提供或認可的任何形式的財務、投資、交易或其他類型的建議或推薦。請閱讀使用條款以了解更多資訊。