ICT Core Content Month 7 Lecture 3 | Market Maker Manipulation Templates Explained

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Disclaimer:
This content is for educational purposes only and does not constitute financial or investment advice. Trading Forex, Futures, Crypto, or any leveraged market involves significant risk, and losses can exceed expectations. Past performance is not a guarantee of future results.

As per CFTC Rule 4.41, simulated or hypothetical results have limitations and do not represent actual trading. Always do your own research and consult a qualified financial advisor. You are fully responsible for your trading decisions.

ڈسکلیمر
یہ مواد صرف تعلیمی مقاصد کے لیے ہے اور کسی بھی قسم کا مالی یا سرمایہ کاری کا مشورہ نہیں ہے۔ فاریکس، فیوچرز، کرپٹو یا لیوریجڈ مارکیٹس میں ٹریڈنگ انتہائی رسک رکھتی ہے، اور نقصان ہو سکتا ہے۔ ماضی کے نتائج مستقبل کی ضمانت نہیں ہوتے۔

CFTC Rule 4.41 کے مطابق، فرضی یا سیمولیٹڈ رزلٹس حقیقی ٹریڈنگ کی مکمل نمائندگی نہیں کرتے۔ ٹریڈنگ سے پہلے اپنی تحقیق کریں۔ تمام فیصلوں کی ذمہ داری آپ کی اپنی ہے۔

In this video, we cover ICT Core Content Month 7 Lecture 3, focusing on Market Maker Manipulation Templates and how institutional traders engineer price movement in the financial markets.

This lecture explains how market makers create liquidity through accumulation, manipulation, and distribution, and how these repeating templates appear across monthly, weekly, daily, and intraday timeframes. You will learn how false breakouts, stop hunts, and engineered moves are designed to trap retail traders before the real price expansion begins.

We also discuss how to identify premium and discount zones, understand liquidity pools, and align your trades with smart money direction instead of fighting the market. These concepts are essential for traders who want consistency using ICT methodology.

📌 Covered Topics in This Video:

Market Maker Manipulation Templates explained
Accumulation, Manipulation, and Distribution phases
How market makers hunt liquidity and stops
Identifying false breakouts and engineered moves
Premium and discount price zones
Using higher-timeframe bias for short-term trading
Understanding smart money and institutional order flow
Applying ICT concepts across multiple timeframes

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