TrendScanner ALMA delivers silent MT5 trend detection for clearer trading decisions

In this 2025 review I provide a focused performance analysis of TrendScanner ALMA, examining how the scanner identifies and reports trend shifts across multiple symbols and timeframes. TrendScanner ALMA runs quietly on MT5, relying on the Arnaud Legoux Moving Average to create smoother signal lines and reduce chatter in volatile sessions. The review compares backtest windows and forward-simulated live runs, and the analysis looks specifically at win rate, average trade duration, and worst-case drawdown scenarios. What makes TrendScanner ALMA unique is its lightweight design and emphasis on silent portfolio scanning rather than intrusive chart overlays. The algorithm calculates ALMA-based slope and momentum thresholds, applies multi-timeframe confirmation, and filters trades that do not meet bias criteria. This reduces false entries and concentrates trades during cleaner trends. TrendScanner ALMA also supports customizable sensitivity, allowing traders to favor either earlier entries or higher confirmation to suit their style. Market conditions that suit this scanner are trending or directional markets with clear momentum and lower noise; performance degrades in extreme range-bound chop unless sensitivity is adjusted. Risk management is implemented through user-defined stop levels, position sizing parameters, and maximum simultaneous trade limits. Expected performance characteristics are moderate trade frequency, higher win rates on directional moves, and controlled drawdowns when combined with disciplined sizing. The scanner is authored by Kazutaka Okuno and is intended for systematic traders using MT5 who prioritize transparency and testable results.