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SMT Divergence
Jul 13, 2024
SMT Divergence Lecture Notes
Introduction
Questions can be asked at the end of the presentation or on Discord.
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SMT Divergence is essential in ICT strategy.
Definition of SMT Divergence
SMT stands for Smart Money Tool.
Price signature when correlated markets don't move in tandem.
Indicates institutional sponsorship/manipulation in markets.
Prerequisites
Understanding of basic market structure (higher highs, higher lows, lower lows, lower highs).
Concept of SMT Divergence
Correlated markets should move in tandem.
Example when there is no SMT Divergence: Both markets make higher highs/lower lows simultaneously.
SMT Divergence occurs when one market fails to mirror the movement of another (e.g., one makes a higher high, the other makes a lower high).
Significance of SMT Divergence
Indicates bullish/bearish price action.
For index futures: NQ, ES, YM (consider DXY for longer-term correlation).
For Forex: EU, GU, DXY (DXY is inversely correlated).
Importance of SMT Divergence in Trading
First sign of institutional sponsorship in markets.
Occurs at the beginning and end of every trend, indicating market reversals.
Helps in spotting accumulation/distribution phases.
Indicates markets are ready to expand.
Application of SMT Divergence
Look for SMT Divergence within higher time frame key levels.
Used to spot phases within Market Maker Models.
For bullish scenarios, look for SMT on the lows. For bearish scenarios, look for SMT on the highs.
Examples and Practical Use Cases
Example 1:
Market Maker Buy Model
Identify original consolidation and distribution phases with SMT.
Use SMT Divergence to trail stop losses.
Example 2:
Market Maker Sell Model
Original consolidation and distribution confirmed by SMT.
Use SMT Divergence for smart money reversals and accumulation phases.
Example 3:
High Probability Setups
Higher time frame Market Maker model with lower time frame Market Maker models within.
SMT Divergence aids in capturing high/low points efficiently.
Summary
SMT Divergence occurs at significant market turning points and offers high probability entries and exits.
Use HTF context to confirm SMT Divergence on lower time frames.
Essential for analyzing and predicting market behavior accurately.
Closing
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