Unicorn Model ICT

Unicorn Model ICT Indicator — Smart Trading with Precision

The Unicorn Model ICT Indicator is a powerful and intelligent tool designed for traders who follow Smart Money Concepts (SMC) and Inner Circle Trader (ICT) methodologies. This indicator simplifies complex price action by visually identifying key market structures and providing high-probability trade setups.

  • Key Features:

A Bullish Unicorn Pattern

      • A Lower Low (LL), followed by a Higher High (HH)
      • A Fair Value Gap (FVG), overlapping the established Breaker Block
      • A successful re-test of the FVG which confirms the pattern.
    A Bearish Unicorn Pattern
      • A Higher High (HH), followed by a Lower Low (LL)
      • A Fair Value Gap (FVG), overlapping the established Breaker Block
      • A successful re-test of the FVG which confirms the pattern

    Breaker Block Detection

    The indicator automatically highlights Breaker Blocks, which are failed Order Blocks that become significant support/resistance zones. These blocks often mark areas where smart money reverses market direction after liquidity sweeps.

      • Bullish Breaker Block: Appears after a bearish order block is broken to the upside.
      • Bearish Breaker Block: Appears after a bullish order block is broken to the downside.

    These zones are critical for detecting retests and reversals.

    Fair Value Gap (FVG)

    The indicator dynamically scans and marks Fair Value Gaps — imbalanced zones where price moved aggressively, leaving inefficiencies.

      • Helps identify zones likely to be filled before continuation.
      • Confirms institutional interest and momentum areas.

    FVGs near Breaker Blocks are considered premium trade zones.

    Entry Optimization

    The indicator provides entry signals based on confluence between Breaker Blocks, FVGs.

      • Entry is typically taken at the equilibrium of Breaker Block or center of FVG.
      • Optional alerts notify users when price enters high-probability zones.

    Risk-to-Reward Ratio (R/R) Visualization

    The Unicorn Model helps traders manage their trades with clear visual risk and reward zones.

    A confirmed Unicorn pattern will show a blue (Target) / grey (Stop Loss) "Risk/Reward" areas (RR).

    When the Stop Loss or Target is hit, a gray line is shown on the concerned side.

      • SL suggested just beyond the Breaker Block or FVG boundary.
      • Customizable R/R ratio lines assist in risk management and strategy backtesting

    • Settings:

     Unicorn

      • Swing: Set the length of swings, used for the ZigZag and Unicorn Patterns detection.
      • Bull: Enable/disable Bullish Unicorn  patterns
      • Bear: Enable/disable Bearish Unicorn  patterns
      • Filter FVG height (by ATR(14) multiplied): FVG is considered valid when its height is greater than the ATR multiplied by this value. Default is 0.05
      • Draw last zigzag: Enable/disable last ZigZag
      • Alert unicorn model detected: Enable/disable  alert when unicorn model detected
      • Alert price cross buy/sell entry: Enable/disable  alert when price cross buy/sell entry

     Target

      • Entry: Adjust entry value
      • Risk: Set up risk ratio
      • Reward: Set up reward ratio
      • Show Target: Enable/disable target RR
      • Target risk: Target risk color
      • Target reward: Target reward color

    • Why Unicorn Model ICT?

      • Combines multiple SMC concepts in a simple, visual tool.
      • Reduces noise and enhances entry timing.
      • Designed for scalping, day trading, and swing trading strategies.
      • Compatible with all timeframes and assets (Forex, Crypto, Indices, etc.).




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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      5 (1)
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
      5 (1)
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      Cao Minh Quang
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      Cao Minh Quang
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      Cao Minh Quang
      Göstergeler
      The   Adaptive Gaussian Moving Average  or also known as  Machine Learning Moving Average (MLMA)   is an advanced technical indicator that computes a dynamic moving average using a   Gaussian Process Regression (GPR)   model. Unlike traditional moving averages that rely on simple arithmetic or exponential smoothing, MLMA applies a data-driven, non-linear weighting function derived from the Gaussian process, allowing it to adaptively smooth the price while incorporating short-term forecasting cap
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