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.
Mã nguồn mở
Theo đúng tinh thần TradingView, tác giả của tập lệnh này đã công bố nó dưới dạng mã nguồn mở, để các nhà giao dịch có thể xem xét và xác minh chức năng. Chúc mừng tác giả! Mặc dù bạn có thể sử dụng miễn phí, hãy nhớ rằng việc công bố lại mã phải tuân theo Nội quy.
Thông báo miễn trừ trách nhiệm
Thông tin và các ấn phẩm này không nhằm mục đích, và không cấu thành, lời khuyên hoặc khuyến nghị về tài chính, đầu tư, giao dịch hay các loại khác do TradingView cung cấp hoặc xác nhận. Đọc thêm tại Điều khoản Sử dụng.
Mã nguồn mở
Theo đúng tinh thần TradingView, tác giả của tập lệnh này đã công bố nó dưới dạng mã nguồn mở, để các nhà giao dịch có thể xem xét và xác minh chức năng. Chúc mừng tác giả! Mặc dù bạn có thể sử dụng miễn phí, hãy nhớ rằng việc công bố lại mã phải tuân theo Nội quy.
Thông báo miễn trừ trách nhiệm
Thông tin và các ấn phẩm này không nhằm mục đích, và không cấu thành, lời khuyên hoặc khuyến nghị về tài chính, đầu tư, giao dịch hay các loại khác do TradingView cung cấp hoặc xác nhận. Đọc thêm tại Điều khoản Sử dụng.