Reverse Probability Profile

  • Indicators
  • Shipra Gupta
    Shipra Gupta
    I’m Shipra Gupta, a trader and quantitative strategy developer with a strong background in mathematics, economics, and algorithmic trading systems. Over the years, I’ve worked extensively across forex, gold, indices, commodities, and crypto markets, focusing on building data-driven trading
  • Version: 1.0

Reversal Probability Profile MT5

Stop Guessing Turning Points. Map Reversals with Mathematical Precision.

The Reversal Probability Profile brings advanced institutional analytics—including machine learning clustering and structural profiling—directly to your MetaTrader 5 charts.

Most traditional indicators rely on lagging moving averages or static oscillators. The Reversal Probability Profile uses K-Means Machine Learning Clustering to continuously group price pivots, isolate high-density order zones, and calculate the exact statistical probability of a price reversal at any given level.

Whether you trade Forex, Gold, Crypto, or Indices, this indicator turns complex market structure into clear, actionable trade setups with automated risk management.

Core Highlights

  • K-Means Machine Learning Algorithm

    Automatically clusters historical pivot highs and lows into statistical key zones, eliminating subjective support and resistance drawing.

  • Statistical Reversal Profile

    Displays a dynamic right-side profile that highlights the Point of Control (POC) and computes real-time Reversal Probability Percentages for active price levels.

  • Automated Signals with Built-in Risk Management

    Triggers non-repainting Buy/Sell signals on structural rejections and automatically projects entry, Take Profit (TP), and Stop Loss (SL) lines on your chart.

  • ATR Volatility Adaptation

    Uses Average True Range (ATR) metrics to adapt touch tolerances and stop distances dynamically to current market volatility.

  • Volume-Backed Historical Analysis

    Tracks broken support and resistance levels while tagging them with tick volume data to show where market sentiment shifted.

  • Fully Customizable Visuals & Cooldowns

    Includes strict signal cooldown logic to prevent overtrading during strong market trends.

How It Works

  1. Pivot Identification: Scans price action across up to 1,000 historical bars to detect institutional swing points.

  2. Cluster & Profile Generation: The K-Means engine groups these pivots into distinct price clusters, creating a visual profile of maximum reversal density.

  3. Execution Setup: When price tests a high-probability support or resistance zone with a valid candle rejection, the indicator prints a signal arrow alongside an exact Risk:Reward trade setup.

Key Input Parameters

Calculation Engine

  • Pivot Left / Right Bars (Default: 5): Sets swing high/low confirmation sensitivity.

  • Profile Resolution (Default: 140): Adjusts profile bin density for granular or broad analysis.

  • Profile Clusters (Default: 5): Defines the target number of K-Means data clusters.

  • Cluster Iterations (Default: 25): Controls machine learning calculation precision.

Risk & Signals

  • Touch Tolerance (xATR): Adjusts signal sensitivity based on volatility.

  • Stop Distance (xATR): Customizes dynamic Stop Loss placement.

  • Take-Profit R:R: Sets automatic Take Profit projection (e.g., 1:2, 1:3).

  • Signal Cooldown: Controls the minimum bar delay between consecutive signals to reduce noise.

Why Choose Reversal Probability Profile?

  • No Repainting: Signals and execution levels fix once the candle closes.

  • Lightweight Code: Native MQL5 architecture optimized for high performance without chart lag.

  • Universal Compatibility: Works across all MT5 financial instruments (Forex, Metals, Commodities, Equities, Crypto) and timeframes.

  • Complete Visual Control: Toggle individual components (Profile, POC, S/R lines, broken levels) to keep your chart as clean as you prefer.

Requirements & Setup

  1. Attach the indicator to any MetaTrader 5 chart.

  2. Ensure history data is loaded for the target timeframe.

  3. Adjust inputs according to your preferred risk-to-reward ratio and time horizons.

Equip your terminal with institutional-grade probability analytics today.


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