Institutional Point

Overview Institutional Point is a sophisticated data-mining indicator designed to identify and track "institutional footprints" by isolating the single candle with the highest volume relative to a specific time anchor. Unlike traditional volume profiles that aggregate data into price bins, this script pinpoints the exact temporal origin of massive liquidity injections.

Core Methodology The script operates on a multi-timeframe analysis engine (MTF). It scans sub-chart data (2-minute or 15-minute intervals) to find the absolute maximum volume peak within a defined period. Once the "Institutional Point" is identified:

Source Identification: The origin candle is highlighted in white, signaling a high-conviction entry or exit by large-scale market participants.

Zone Projection: A borderless "Institutional Zone" is projected forward from the spike’s high/low range.

Dynamic Interaction: The zone remains active until the price revisits the area (mitigation) or until the time-based expiration is reached.

Anchor Modes & Precision

8-Hour Cycle: Optimized for high-frequency scalping. Anchors reset at 00:00, 08:00, and 16:00. Utilizes ultra-precise 2-minute volume detection.

Daily Session: Designed for intraday and swing traders. Anchors to the Daily Open. Utilizes 2-minute volume detection to isolate precise institutional orders.

Weekly Cycle: Built for identifying major structural pivots. Anchors to the Weekly Open. Utilizes 15-minute volume detection for macro-liquidity analysis.

Key Features

Naked Level Tracking: Zones automatically stop extending the moment they are "hit" by price action, providing a clean visual of unmitigated liquidity.

Anti-Noise Filter: Automatically excludes Saturday and Sunday data to maintain statistical integrity across global markets.

Minimalist Interface: High-contrast visual design focused on scannability and professional chart aesthetics.

Use Cases

Data Science & Backtesting: Ideal for measuring the "Z-Score" or "Percentile Distance" from institutional peaks.

Supply & Demand Trading: Automated identification of the "Origin of the Move."

Magnet Analysis: Tracking "Naked" volume spikes as high-probability magnets for future price mean reversion.