Realtime rVOL w/ Candle Highlight [Blk0ut]

About This Script

Realtime rVOL Table + Candle Highlight (Presets, No Smoothing)
By Blk0ut

This tool visualizes real-time relative volume (rVOL) directly on your chart and in a compact table, helping traders identify where intraday participation deviates from the session’s baseline.

Unlike standard volume overlays, this script recalculates rVOL dynamically through the session and highlights candles when participation exceeds configurable thresholds — providing a clear picture of ignition zones, volume surges, and potential breakout conditions.

Core Features

-Realtime rVOL tracking: Displays the current bar’s relative volume ratio compared to a moving baseline of recent bars.

-Preset Profiles: Choose from four purpose-built profiles to quickly adjust the rVOL sensitivity to your trading horizon.
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*Opening Rush: 100-bar lookback, threshold 2.5*

*RTH 5m: 30-bar lookback, threshold 1.2*

*RTH 1hr: 50-bar lookback, threshold 1.5*

*RTH 1d+: 100-bar lookback, threshold 1.5*
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RTH-only filter: Option to limit the moving average baseline to regular market hours (09:30–16:00).

Candle highlighting: Optionally outlines candles when rVOL exceeds the active threshold to emphasize spikes visually in real time.

Table display: Compact dashboard showing current rVOL, raw volume, average baseline, and preset parameters.

How To Use

Select a preset that matches your timeframe or trading style.

Scalpers and open traders can use RTH 5m or Opening Rush.

Position or swing traders may prefer RTH 1hr or RTH 1d+.

Watch for rVOL readings above the threshold (and colored candle outlines). These often correspond to momentum ignition, news impact, or institutional activity.

Combine with VWAP, ORB, or intraday key levels for best confirmation.

Notes

The table automatically adapts to your chart corner choice.

Highlight thresholds can follow the preset or be set manually.

Color intensity tiers (High/Medium/Low) can be tuned in settings.

Designed for intraday and session-based traders who rely on live volume context rather than end-of-day stats.