MTF MA Matrix - Clean Base — Strategy by ALCIVOOO
By ALCIVOOO
Performance Metrics
- Author: ALCIVOOO
- Symbol: BINANCE:BTCUSDT.P
- Timeframe: 8 hours
- Net P&L: +100,275.30 USDT (+102.68%)
- Win Rate: 95.2%
- Profit Factor: 8.784
- Max Drawdown: 28,473.96 USDT (22.95%)
- Total Trades: 21
Description
MTF MA Matrix PRO – Trend & Alignment StrategyOverviewThis 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 Logic1. Trend Structure The system evaluates:* Moving average positioning* Slope (direction and strength)* Price location relative to averagesThis defines whether the market is trending or not.2. Multi-Timeframe Alignment (MTF) The following timeframes are used together: 1H, 2H, 4H, 8H, 12H, 1DA 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 alignmentThe system is trend-following by design. It does not attempt to capture exact turning points.Calculation ApproachThe model does not rely on a single indicator. It combines multiple factors:* Moving average slope* Relative distance between averages* Price positioning* Cross-timeframe agreementSlope 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 TypeThe system is optimized for EMA usage by default, but other types can be tested.Risk ManagementOptional components include:* ATR-based stop* Trailing stopThe default behavior favors holding trends rather than exiting too early.Visual ComponentsThe chart includes:* Main moving averages* EMA250–500 cloud* Entry and exit markers* Multi-timeframe status tableThe table represents structural conditions, not direct order execution.Optimal TimeframesBest performance is observed on higher timeframes:4H – primary execution8H – trend filter12H – strong trend confirmation1D – macro direction1W – optional higher-level contextLower timeframes produce more signals but introduce more noise.Important NotesThis 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 NoteThis 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.SummaryMulti-timeframe approachTrend-focused logicNoise filteringSelective entriesFinal RemarkThe 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.