Quantified Trendline Strength

Quantified Trendline Strength (QTS)

Overview
Quantified Trendline Strength is a technical analysis tool that automatically detects and evaluates trendlines based on price swing structures. It provides a visual and quantitative way to understand how significant each trendline may be, allowing traders to make more structured observations of market behavior.

Indicator Type

  • Category: Trend / Level Detection

  • Display: Chart window (overlay indicator)

  • Purpose: Identify and evaluate trendlines, support, and resistance levels

Concept and Function

The indicator analyzes price swings within a defined historical range to identify potential trendlines connecting swing highs and swing lows.
Each detected line is then scored on a numerical scale (0–100) according to several measurable factors:

  • Number of price touches on the line

  • Distance of each touch relative to an ATR-based threshold

  • Line duration and angle

  • Proximity of the line to current price

  • Break-and-retest behavior

  • Alignment with the overall moving average direction

The scoring system is adaptive, meaning it can adjust automatically to recent volatility levels when enabled.

Signal Interpretation

  • Strong Trendline (Gold Line): Strength above 70 — may represent a well-tested level of support or resistance.

  • Moderate Trendline (Blue Line): Strength between 40 and 70 — level of intermediate importance.

  • Weak Trendline (Gray Line): Strength below 40 — less significant, optional for display.

  • Green Markers: Indicate points where a line has been broken and retested.

Users can observe how price interacts with these lines to assess potential areas of support, resistance, or structure shifts.
The indicator itself does not generate buy or sell orders; it serves as a visual analysis tool for discretionary or rule-based trading systems.

    Practical Application

    Quantified Trendline Strength can be used in combination with other analytical tools:

    • Momentum Indicators (RSI, MACD): For confirmation of potential trend continuation or reversal near a strong line.

    • Candlestick Patterns: To identify reaction signals at a specific level.

    • Moving Averages: To observe whether detected lines align with broader market trends.

    • Volume or Volatility Tools: To evaluate price behavior around major levels.

    This indicator is designed to complement broader analysis methods rather than act as a standalone trading system.

    Supported Instruments and Timeframes

    • Instruments: Forex, Indices, Commodities, Crypto, and other CFD assets

    • Timeframes: M1 to MN

    Installation Guide

    1. Place the file QuantifiedTrendlineStrength.ex5 in the directory:
      MQL5 → Indicators

    2. Restart MetaTrader 5 or refresh the Navigator window.

    3. Attach the indicator to any chart and configure parameters as needed.


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    Simon Draxler
    Indicatori
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    Siarhei Vashchylka
    5 (11)
    Indicatori
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    Milana Muslimova
    Indicatori
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    Oleg Rodin
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    Indicatori
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    Ravi Gurung
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    Indicatori
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    Ottaviano De Cicco
    5 (1)
    Indicatori
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    5 (3)
    Indicatori
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    Indicatori
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    Shengzu Zhong
    5 (4)
    Indicatori
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    Patricia Manzano Gomez
    5 (1)
    Indicatori
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    Ottaviano De Cicco
    5 (7)
    Indicatori
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    Altri dall’autore
    Liquidity Sweep Detector
    Peat Winch
    Indicatori
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    Peat Winch
    Experts
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    Momentum Confluence Zone
    Peat Winch
    Indicatori
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    Adaptive Market Structure Grid
    Peat Winch
    Indicatori
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    JiaXu AMSG X
    Peat Winch
    Experts
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    Sun Bin SCF
    Peat Winch
    Experts
    Sun Bin SCF is an Expert Advisor that identifies moments when market participants act in the same direction.  It observes recent price bars and volume to detect situations where buyers or sellers dominate together.  When a consistent crowd movement appears, the EA opens a trade in the same direction and manages it using pre-defined risk and exit rules. Main Features: - Crowd detection based on consecutive bars with similar direction. - Volume confirmation to avoid false signals in low-activity
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