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Killzones & Key Levels

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The ICT Killzones + Key Levels indicator is a comprehensive technical analysis tool that consolidates institutional trading logic and ICT (Inner Circle Trader) concepts into a single interface. Its primary distinction lies in optimizing all calculations based on actual market opening times—specifically the New York 18:00 session rollover—rather than the standard midnight (00:00) reset.

It visually represents critical Killzone regions, such as Asia, London, New York AM/PM, and New York Lunch, using dynamic boxes on the chart. These zones highlight periods of peak volatility and liquidity, clarifying areas where price is most likely to react. Additionally, it calculates session-based Daily, Weekly, and Monthly (DWM) open levels to align with institutional data, making intraday bias much easier to determine.

The indicator provides a True Day Open (TDO => NYMO) level as a vital reference point throughout the day while automatically tracking Previous Day, Week, and Month Highs and Lows (H/L). By drawing vertical day-divider lines at 18:00, it allows traders to see the "true" trading day. This enables Futures and Forex traders to analyze market cycles based on institutional liquidity flow rather than just calendar hours.

Finally, it includes a volatility analysis table that displays the current price range for each session. With a fully customizable structure, you can adjust sessions, colors, and timeframes to fit your specific strategy. In essence, this tool serves as a professional roadmap for Smart Money Concepts (SMC) traders who prioritize session structure over traditional timekeeping.
릴리즈 노트
The ICT Killzones + Key Levels indicator is a comprehensive technical analysis tool that consolidates institutional trading logic and ICT (Inner Circle Trader) concepts into a single interface. Its primary distinction lies in optimizing all calculations based on actual market opening times—specifically the New York 18:00 session rollover—rather than the standard midnight (00:00) reset.

It visually represents critical Killzone regions, such as Asia, London, New York AM/PM, and New York Lunch, using dynamic boxes on the chart. These zones highlight periods of peak volatility and liquidity, clarifying areas where price is most likely to react. Additionally, it calculates session-based Daily, Weekly, and Monthly (DWM) open levels to align with institutional data, making intraday bias much easier to determine.

The indicator provides a True Day Open (TDO => NYMO) level as a vital reference point throughout the day while automatically tracking Previous Day, Week, and Month Highs and Lows (H/L). By drawing vertical day-divider lines at 18:00, it allows traders to see the "true" trading day. This enables Futures and Forex traders to analyze market cycles based on institutional liquidity flow rather than just calendar hours.

Finally, it includes a volatility analysis table that displays the current price range for each session. With a fully customizable structure, you can adjust sessions, colors, and timeframes to fit your specific strategy. In essence, this tool serves as a professional roadmap for Smart Money Concepts (SMC) traders who prioritize session structure over traditional timekeeping.
릴리즈 노트
Cleaned up separator behavior by removing the fixed day separator overlay. D/W/M separators now work through a single consistent system, so style, width, and color settings apply correctly and candle wicks remain more visible.
릴리즈 노트
Day Seperators Update
릴리즈 노트
As part of this work, the ICT NWOG/NDOG structure has been extended to allow two independent instances within the same indicator. The objective is to analyze daily and weekly opening gaps simultaneously and independently from each other.

Each structure, on its own:

Automatically detects opening gap zones
Draws the gap areas as boxes
Displays the average (midline) level
Generates EHPDA (Event Horizon Price Delivery Array) levels

With this enhancement:

Daily and weekly gaps can be monitored simultaneously on the same chart
Liquidity zones across different timeframes can be compared more clearly
Multi-timeframe analysis becomes more structured and systematic

In conclusion, this modification enhances flexibility and analytical depth without altering the original logic of the indicator.

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