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RBM - Range Body Measure

RBM – Range Body Measure
A structural strength indicator for intraday trend filtering and noise avoidance

This indicator measures the quality of price movement using the Range Body Measure (RBM), a composite metric derived from normalized range expansion and candle body efficiency. RBM helps identify whether price action is clean and directional, or weak and choppy.

🔍 What RBM Measures
RBM is built from two key structural components:

Range Expansion
- EMA of (High − Low), normalized by ATR
- Captures how meaningfully price is moving relative to volatility
Body Efficiency
- EMA of (Candle Body / Total Range)
- Measures how directional each candle truly is

RBM combines these to produce a smooth structural score typically between 0 and 1.

Low RBM = weak structure, chop, noise
High RBM = strong directional structure, trend-friendly movement

🎯 Trend & Chop Zones
Two adjustable thresholds define structural zones:

🔴 Chop Zone
Highlighted only when RBM < Chop Threshold
Only the area below the threshold is shaded
Indicates low-quality, non-directional movement
Useful to filter out no-trade periods

🟢 Trend Zone
Highlighted only when RBM > Trend Threshold
Only the area above the threshold is shaded
Indicates strong structure suitable for directional trades
The middle region is intentionally left unshaded to keep the chart clean.

🛡️ Built-In Safety
Trend threshold automatically adjusted to be ≥ Chop threshold
Chop shading disabled if threshold ≤ 0
Trend shading disabled if threshold ≥ 1
This ensures stable, predictable behavior regardless of user settings.

📌 Intended Use Cases
Filtering low-quality market structure before entering trades
Validating directional setups for CE/PE options or index futures
Avoiding chop-heavy intraday periods
Enhancing systems based on VWAP, MACD histogram
Building multi-layer conviction models for trend trading

Skrypt open-source

W zgodzie z duchem TradingView twórca tego skryptu udostępnił go jako open-source, aby użytkownicy mogli przejrzeć i zweryfikować jego działanie. Ukłony dla autora. Korzystanie jest bezpłatne, jednak ponowna publikacja kodu podlega naszym Zasadom serwisu.

gokul4trading

Gokul Ramachandran – software architect, programmer. Interested in trading and investment. Currently trading and researching strategies that can be employed in NSE.
Contact: gokul4trading@gmail.com]
LinkedIn: linkedin.com/in/gokulramachandran/

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Skrypt open-source

gokul4trading