ICT MACRO THEORY
"ICT MACRO THEORY" logosu
13/08/2025
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Başlangıç 03/10/2024
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📌 Market Structure Indicators

·     ✅ AdvancedMarket Structure: Bos, Choch, SwinLevels, Order Blocks,  Market Structure& Liquidity Finder

·     🔄 Dynamic Market StructureAnalysis of Turning Points

·     🧱 Order Block

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·     🎯 Zig-Zag Extremity Tracker

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🌐 ICT MACRO THEORY

⚠️ IMPORTANT NOTE: This indicator only works on timeframes below 5 minutes.

Explanation of ICT Macro Periods

ICT macro periods are essentially short intervals during which the algorithm seeks liquidity or adjusts price for fair value gaps. The foundation of these ICT macros lies in ICT's time and price theory.

A macro is "a short series of instructions that creates an event in price delivery", as defined by ICT itself.

ICT macros are not complete trading strategies, but they can add confluence to your trades and maximize profits. They occur during the London, New York, midday, and afternoon sessions.

 

🔮 Advanced Implementation of ICT Macro Times Theory:

Direct Connection to ICT Concepts:
The code implements exactly the 3 types of ICT macros described in the theory, using classification logic based on:

  1. Market Structure Analysis:
    • Detection of Macro Sessions
    • Records exact ICT times (London 02:33, NY 09:50, etc.).
    • Detects structural changes before and during each macro session.
    • Automatically classifies into:
      • 🟥 Manipulation: When price sweeps liquidity on both sides (buy/sell).
      • 🟦 Expansion: Directional movements taking liquidity on one side (aligned with trend).
      • 🟩 Accumulation: Tight range where price "accumulates" liquidity.
  2. Extended Key Levels:
    • Draws highs/lows of each macro session.
    • Calculates and extends the average price (midpoint) to the next session.
    • These levels act as dynamic support/resistance (Essential in ICT!).
  3. Real-Time Liquidity Detection:
    • Uses 1-minute data to identify exact pivots (same as seen on lower timeframes).


Upcoming Enhancements & Updates:

  • Liquidity Sweeps Detection: Will identify previous liquidity sweeps (previous day/week highs/lows).
  • Fair Value Gaps (FVG): Will detect and visualize fair value gaps.


📊 Practical ICT Example
NY Opening Scenario (09:50-10:10):

  1. Pre-session: Price sweeps buy-side liquidity (local low).
  2. During session:
    • Classified as 🟥 MANIPULATION.
    • Price shifts to bearish structure.
  3. Post-session:
    • Extended lines mark resistance at session highs.
    • Trade rejection at zone with RR 1:3.

✅ Faithful to ICT Principle:
"Macros are not complete strategies but add confluence by identifying where algorithms will seek liquidity."


 

 

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