ADR Daily Range + Volatility + KZs — SMC/ICT (@PueblaATH)

ADR Daily Range + Volatility + KZs — SMC/ICT (PueblaATH) is a complete intraday context and volatility HUD that plots market opens, killzones, previous period highs/lows, and a dynamic ADR/volatility dashboard. It is built to give SMC/ICT traders an at-a-glance view of when and where price is moving: sessions, overlaps, ranges, and distance to key levels, all on a single clean overlay.

What the Indicator Does

• Market Opens (Tokyo, London, New York)
  Professional-grade session open lines with:
  Individually configurable open times per session and timezone.
  Infinite vertical lines or height-limited extensions (custom tick offsets).
  Fully styled labels: size, alignment, auto-background, manual background, and vertical offset.
  
• Killzones & Session Overlaps
  Precision-timed shaded boxes for:
  Tokyo Killzone
  London Killzone
  New York Killzone
  London–New York Overlap
  
• Previous Period Levels (PDH/PWH/PMH & PDL/PWL/PML)
  Robust daily/weekly/monthly high/low engine:
  Accurate Previous Day / Week / Month Highs & Lows (Europe/Madrid reference).
  Line length modes: infinite, N bars, or end-of-day projection.
  Per-level colors + labeled markers placed to the right of price with custom horizontal/vertical spacing.
  
• Timeframe & Weekend Filters
  Keep charts clean by hiding components based on:
  Custom timeframe ranges (hide opens or killzones on HTFs).
  Weekend filters for opens, killzones, and ADR/table.
  Optional override to display the HUD table across all timeframes.
  
• Session Comparison Table (Top-Right HUD)
  A compact, institutional-style session dashboard comparing:
  Tokyo, London, New York — current open vs previous session and previous day.
  Bullish/Bearish state with color-coded logic (+ optional ▲/▼ arrows).
  Optional Δ% change column relative to previous day’s open.
  
• ADR / Volatility Panel (24h Rolling Window)
  A powerful real-time volatility module providing:
  
  • True 24-hour rolling high–low range.
    
  • SMA-based ADR calculation with automatic bar-count safety limits.
    
  • ADR% expansion metric with two thresholds + blinking color logic for volatility extremes.
    
  • Directional bias vs price 24 hours ago (Bullish/Bearish).
    
  • Optional metrics: distance to PDH/PDL (in price units) and absolute H–L / ADR values.
    

How to Use It

1. Set each session’s open time and killzone window according to your broker or desired timezone alignment.
   
2. Enable or disable session opens and killzones to frame the trading windows you prioritize (e.g., LDN Killzone or NY session expansion).
   
3. Activate key previous period levels (PDH/PDL, PWH/PWL, PMH/PML) and tune the line-length mode and label spacing to match your workflow.
   
4. Use timeframe & weekend filters to keep higher-timeframe charts clean while maintaining precise intraday visibility on lower timeframes.
   
5. Monitor the session comparison table to understand directional behavior relative to previous sessions and previous day opens.
   
6. Watch the ADR panel to classify the day as compressed, normal, or expanded—and anticipate potential reversion or continuation.
   

Originality & Credits Disclaimer
This indicator is an original work by PueblaATH, created specifically for the tool ADR Daily Range + Volatility + KZs — SMC/ICT (PueblaATH) and distributed under the MPL 2.0 license.

While the concepts implemented—session opens, killzones, ADR, and previous highs/lows—are public and widely known in the trading community, this script introduces a uniquely integrated framework that combines:

• Multi-timezone session scheduling with dynamic TF/weekend filtering.
  
• A modular PDH/PWH/PMH + PDL/PWL/PML engine with versatile projection and labeling controls.
  
• A precise 24-hour volatility model tied to an ADR panel with extension thresholds, blinking alerts, and distance-to-PD metrics.
  
• A multi-session comparative table that unifies Tokyo, London, and New York open data in real time.
  

This work does not reuse or repackage code from other authors. Any future adaptations from public sources will always include full, transparent credit and documentation.