Fair Value Gap Profile + Rolling POC [BigBeluga]

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🔵 OVERVIEW
FVG Profile [BigBeluga] builds a price-level profile based on detected Fair Value Gaps (FVGs) over a fixed lookback period.
Instead of measuring traded volume alone, this tool aggregates bullish and bearish FVG occurrences into horizontal bins, allowing traders to see where price inefficiencies are most concentrated.

Each profile level represents how many bullish and bearish FVGs formed near that price zone, along with their relative strength, imbalance, and delta volume.

🔵 CONCEPTS

FVG Detection —
• Bullish FVG: when the high two bars back is below the current low.
• Bearish FVG: when the low two bars back is above the current high.
Price Binning — The full price range of the lookback period is divided into fixed bins.
FVG Aggregation — Each detected FVG is mapped to its nearest price bin and counted.
Directional Separation — Bullish and bearish FVGs are stored separately inside each bin.

🔵 FEATURES

Bull / Bear FVG Profile —
• Green segments represent bullish FVG counts.

• Orange segments represent bearish FVG counts.

• Each bin visually shows how many FVGs occurred at that level.
Strength Percentage —
• Each bin displays a % value based on total FVG count.
• The strongest bin is normalized to 100%.
Delta Volume —
• Calculates the difference between bullish and bearish FVG volume per bin.
• Positive delta = bullish dominance.
• Negative delta = bearish dominance.
Heatmap Mode —
• Colors profile levels by relative strength.
• Color direction is driven by delta volume (bullish vs bearish).
Live FVG Visualization — Optionally plots individual bullish and bearish FVG boxes on the chart.
Profile Background — A background frame highlights the full analyzed price range.

🔵 Rolling POC Logic

Unlike a static profile, the Rolling POC moves with price.
It continuously calculates the "peak imbalance level" for the last X bars, providing a moving average of where the market's most significant gaps are forming.

🔵 Moving Average Integration

The indicator features a customizable Moving Average (SMA, EMA, WMA, VWMA, etc.).
This MA helps identify if the price is currently trending toward or away from high-density FVG zones.
An "Auto" length feature is included that scales the MA based on the selected lookback period for optimal smoothing.

🔵 HOW TO USE

Identify FVG Clusters — Strong profile levels highlight prices where inefficiencies repeatedly formed.
Directional Bias — Compare bullish vs bearish segments to determine dominance at each level.
Delta Confirmation — Use delta volume to confirm whether bullish or bearish FVGs control the zone.
Reaction Zones — High-strength bins often act as areas of interest for price reactions.
Heatmap Context — Enable heatmap to quickly spot dominant imbalance zones across the range.

🔵 CONCLUSION
FVG Profile [BigBeluga] transforms Fair Value Gaps into a structured price-level profile, revealing where inefficiencies cluster and which side dominates those zones.
By combining FVG count, directional balance, delta volume, and strength normalization, it provides a powerful way to analyze imbalance behavior beyond traditional volume profiles.

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