OPEN-SOURCE SCRIPT

DTLLC Time & Price

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DTLLC Time and Price with Signals

This indicator is built for traders who understand ICT concepts and want a structured, visual way to align time-based price action with key market levels. By combining customizable trading windows, breakout logic, and daily reference points, it helps you identify high-probability trade opportunities while filtering out market noise.

Key Features
1. Dual Custom Time Ranges (Kill Zones)

Set two independent time ranges per day (start/end hour and minute).

Each range identifies the highest high and lowest low within its window.

Built-in breakout detection generates buy/sell signals when price moves beyond these levels.

2. Volatility Filtering

Adjustable volatility threshold based on True Range relative to ATR.

Filters out low-quality signals during choppy, low-volatility conditions.

3. ATR-Based Stop Loss

Custom ATR length and stop-loss multiplier settings.

Automatically plots ATR-based stop levels for triggered trades.

4. Daily Key Levels

Plots Previous Day High, Previous Day Low, and Midnight Open continuously on the chart.

Useful for spotting breakout and reversal opportunities in line with ICT market structure concepts.

5. Liquidity & Engulfing Candle Highlights

Highlights potential liquidity grab zones (yellow candles) when significant highs/lows are set within your lookback period.

Detects bullish (green) and bearish (red) engulfing patterns for added confluence.

6. Visual & Signal Tools

Buy/Sell signals plotted directly on chart (separate colors for Range 1 and Range 2). Continuous plotting of reference levels to maintain market context throughout the session.

Example Use Case:
A common ICT-inspired reversal setup:

Wait for price to sweep the Previous Day’s High or Low during your chosen time range.
Look for a buy or sell signal with volatility confirmation.
Manage risk using the ATR-based stop-loss plot.

Disclaimer: This script is for educational purposes only and is not financial advice. Trade responsibly and always test strategies before applying them in live markets.

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