HOB Archive

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Historical HOB & PHOB Structural Archive
Distinction: Real-Time Detection vs. Historical Archiving
It is important to distinguish this tool from standard "Hidden Orderblock" detectors (including our own real-time versions). While standard indicators are designed to highlight current trade opportunities by showing only active zones, this Historical Archive is a specialized environment for Quantitative Market Structure Analysis.

Standard indicators typically remove zones once they are breached (mitigation). This script utilizes a Persistence Algorithm that maintains every detected zone, allowing traders to analyze how price interacts with "old" liquidity over hundreds of bars—a feature essential for institutional backtesting that real-time tools cannot provide.

Unique Technical Logic: The Overlap Engine
The core of this script is a unique calculation engine that evaluates the "Hidden" status of a candle based on its geometric relationship with the following Fair Value Gap (FVG):

The 100% Eclipsed Logic (HOB): The script identifies a "Hidden" block only when the entire price range of a candle (including wicks) is mathematically eclipsed by the vacuum of a subsequent FVG.

The Threshold-Based Partial Logic (PHOB): This is where this tool becomes a standalone research utility. Users can input a specific percentage (e.g., 65%). If the FVG only covers that specific portion of the previous candle, it is logged as a PHOB. This allows for a granular study of "Leaking Liquidity," which standard HOB indicators ignore.

Standalone Value & Originality
To comply with TradingView’s House Rules on originality, this script introduces three specific functions not found in basic OB toolsets:

Non-Destructive Data Retention: Every HOB/PHOB is treated as a permanent structural pivot. This allows for the study of "S/R Flips," where an old, broken Hidden Orderblock later acts as a perfect retest level.

Adaptive Label Consolidation: Because historical data can become dense, we developed a custom logic to merge overlapping labels. This ensures that even with 500+ bars of history, the chart remains readable.

Backtest-Optimized Calculations: The script’s backend is optimized to handle high-depth history arrays, ensuring that the visual "Archive" does not cause UI lag, which is a common technical hurdle for historical indicators.

How to Use for Research
Identify Institutional Footprints: Use the HOBs to see where price was delivered so quickly that orders were "trapped" behind an FVG.

Statistical Backtesting: Scroll back through weeks of data to observe the "Sensitivity" of PHOBs compared to full HOBs.

Confluence Mapping: Overlay this with your primary strategy to see if your entries align with these historical high-volume footprints.

Note to Moderators: This script is a unique standalone tool designed for historical data analysis. It uses a proprietary percentage-based detection logic for Partial Hidden Orderblocks and a non-destructive rendering system that differs fundamentally from "live-trading" indicators that delete mitigated zones.

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