ARVEX Squeeze Map

ARVEX Squeeze Map is a volatility + trend context overlay that visualizes compression vs expansion, directional bias, and potential retest areas using a stacked, ATR-based cloud around price.

It is designed as a context layer for analysis and discretionary decision-making. It does not provide financial advice.

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What you see on the chart
• A multi-layer cloud around a baseline average (three volatility shells)
• Directional coloring (bullish vs bearish bias) based on the active context
• Optional release markers when volatility transitions from compression into expansion
• Optional retest zones projected forward after a release event (visual areas of interest)
• A compact HUD with a context summary (components and an overall confidence score)

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1) Multi-layer volatility cloud

Squeeze Map builds a volatility “shell” around a baseline using ATR-scaled bands:
• Inner layer (near-mean reaction zone)
• Mid layer (primary operating area)
• Outer layer (extended / stretched conditions)

This helps visualize whether price is moving close to its mean or operating at more stretched distances, relative to recent volatility.

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2) Compression vs expansion (“squeeze” state)

The script evaluates volatility conditions by comparing measures of dispersion and range (e.g., standard deviation vs ATR behavior).
When volatility is relatively suppressed, the environment is treated as compression. When volatility expands, the environment is treated as expansion.

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3) Release events and retest zones (optional)

If enabled, the indicator can mark release events where price action transitions out of compression into expansion based on user-defined rules (e.g., break of recent extremes).

After a release, Squeeze Map can project a retest zone forward for a configurable number of bars. These zones are informational and intended to highlight areas that some traders monitor for reactions or pullbacks.

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4) Context score (HUD)

An optional HUD summarizes the environment using a composite score (0–100) built from multiple components such as:
• trend/flow behavior
• volatility regime
• structural context
• higher-timeframe alignment (if enabled)

The score is intended as relative context, not prediction.

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Typical use
• Identify compression phases and monitor for expansion
• Use the cloud as a dynamic context map (mean proximity vs extension)
• Combine with other tools (structure, levels, execution rules) to plan and filter setups

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Notes / Disclaimer

All outputs are rule-based and depend on settings, symbol characteristics, and timeframe. Always validate with your own process and risk management.