OPEN-SOURCE SCRIPT
MTF MA Matrix - Clean Base
MTF MA Matrix PRO – Trend & Alignment Strategy
Overview
This study is built to analyze trend direction and continuity by evaluating moving average structures across multiple timeframes. Instead of relying on a single timeframe, the system focuses on how different timeframes align with each other to provide a broader market perspective.
The goal is not to predict tops or bottoms, but to participate in structured and sustained trend movements.
Core Logic
1. Trend Structure
The system evaluates:
* Moving average positioning
* Slope (direction and strength)
* Price location relative to averages
This defines whether the market is trending or not.
2. Multi-Timeframe Alignment (MTF)
The following timeframes are used together:
1H, 2H, 4H, 8H, 12H, 1D
A full alignment is not required. Instead, a minimum number of timeframes moving in the same direction is considered sufficient. This keeps the system flexible while maintaining structural integrity.
3. Entry and Exit Logic
LONG: Uptrend structure + momentum + alignment
SHORT: Downtrend structure + momentum + alignment
EXIT: Loss of structure or weakening alignment
The system is trend-following by design. It does not attempt to capture exact turning points.
Calculation Approach
The model does not rely on a single indicator. It combines multiple factors:
* Moving average slope
* Relative distance between averages
* Price positioning
* Cross-timeframe agreement
Slope calculations are normalized to reduce volatility distortion. This allows the system to behave consistently across different assets and timeframes.
Trend quality is determined by how short, medium, and long-term averages interact with each other, rather than a single crossover event.
Moving Average Type
The system is optimized for EMA usage by default, but other types can be tested.
Risk Management
Optional components include:
* ATR-based stop
* Trailing stop
The default behavior favors holding trends rather than exiting too early.
Visual Components
The chart includes:
* Main moving averages
* EMA250–500 cloud
* Entry and exit markers
* Multi-timeframe status table
The table represents structural conditions, not direct order execution.
Optimal Timeframes
Best performance is observed on higher timeframes:
4H – primary execution
8H – trend filter
12H – strong trend confirmation
1D – macro direction
1W – optional higher-level context
Lower timeframes produce more signals but introduce more noise.
Important Notes
This is a trend-based system. Performance may decrease in sideways markets.
Signals are fewer but more selective.
The system may remain inactive during unclear conditions.
Risk management is strongly recommended.
Practical Note
This script has been developed through iterative testing and observation rather than a single fixed model. Parameters and structure were adjusted over time based on how the system behaves across different market conditions.
Summary
Multi-timeframe approach
Trend-focused logic
Noise filtering
Selective entries
Final Remark
The intention is not to trade every move, but to stay aligned with meaningful ones. Like any system, it requires consistency and discipline to be used effectively.
Overview
This study is built to analyze trend direction and continuity by evaluating moving average structures across multiple timeframes. Instead of relying on a single timeframe, the system focuses on how different timeframes align with each other to provide a broader market perspective.
The goal is not to predict tops or bottoms, but to participate in structured and sustained trend movements.
Core Logic
1. Trend Structure
The system evaluates:
* Moving average positioning
* Slope (direction and strength)
* Price location relative to averages
This defines whether the market is trending or not.
2. Multi-Timeframe Alignment (MTF)
The following timeframes are used together:
1H, 2H, 4H, 8H, 12H, 1D
A full alignment is not required. Instead, a minimum number of timeframes moving in the same direction is considered sufficient. This keeps the system flexible while maintaining structural integrity.
3. Entry and Exit Logic
LONG: Uptrend structure + momentum + alignment
SHORT: Downtrend structure + momentum + alignment
EXIT: Loss of structure or weakening alignment
The system is trend-following by design. It does not attempt to capture exact turning points.
Calculation Approach
The model does not rely on a single indicator. It combines multiple factors:
* Moving average slope
* Relative distance between averages
* Price positioning
* Cross-timeframe agreement
Slope calculations are normalized to reduce volatility distortion. This allows the system to behave consistently across different assets and timeframes.
Trend quality is determined by how short, medium, and long-term averages interact with each other, rather than a single crossover event.
Moving Average Type
The system is optimized for EMA usage by default, but other types can be tested.
Risk Management
Optional components include:
* ATR-based stop
* Trailing stop
The default behavior favors holding trends rather than exiting too early.
Visual Components
The chart includes:
* Main moving averages
* EMA250–500 cloud
* Entry and exit markers
* Multi-timeframe status table
The table represents structural conditions, not direct order execution.
Optimal Timeframes
Best performance is observed on higher timeframes:
4H – primary execution
8H – trend filter
12H – strong trend confirmation
1D – macro direction
1W – optional higher-level context
Lower timeframes produce more signals but introduce more noise.
Important Notes
This is a trend-based system. Performance may decrease in sideways markets.
Signals are fewer but more selective.
The system may remain inactive during unclear conditions.
Risk management is strongly recommended.
Practical Note
This script has been developed through iterative testing and observation rather than a single fixed model. Parameters and structure were adjusted over time based on how the system behaves across different market conditions.
Summary
Multi-timeframe approach
Trend-focused logic
Noise filtering
Selective entries
Final Remark
The intention is not to trade every move, but to stay aligned with meaningful ones. Like any system, it requires consistency and discipline to be used effectively.
오픈 소스 스크립트
트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.
오픈 소스 스크립트
트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.