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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.
版本注释
🔹 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.
仅限邀请脚本
只有作者授权的用户才能访问此脚本。您需要申请并获得使用许可。通常情况下，付款后即可获得许可。更多详情，请按照下方作者的说明操作，或直接联系alexrenzo97。
TradingView不建议您付费购买或使用任何脚本，除非您完全信任其作者并了解其工作原理。您也可以在我们的社区脚本找到免费的开源替代方案。
作者的说明
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.
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。
仅限邀请脚本
只有作者授权的用户才能访问此脚本。您需要申请并获得使用许可。通常情况下，付款后即可获得许可。更多详情，请按照下方作者的说明操作，或直接联系alexrenzo97。
TradingView不建议您付费购买或使用任何脚本，除非您完全信任其作者并了解其工作原理。您也可以在我们的社区脚本找到免费的开源替代方案。
作者的说明
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.
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。