Quant Trend Sniper delivers precise MT4 buy and sell signals for confident trading

This 2026 review provides a detailed performance analysis of Quant Trend Sniper, examining verified MT4 signals, live demo tracks, and backtest comparisons. Quant Trend Sniper stands out by converting the Quantitative Qualitative Estimation (QQE) logic into discrete buy and sell markers, and this review focuses on real-world trade outcomes, timing accuracy, and risk characteristics. The developer Andri Maulana has tuned smoothing and volatility filters to prioritize higher-probability trend entries. What makes Quant Trend Sniper unique is its blend of quantitative smoothing and simple visual cues that reduce interpretation friction on MT4 charts. The algorithm calculates QQE-based momentum bands, then applies an adaptive volatility filter to suppress signals during low-probability noise. Users see arrows and optional alerts at confirmed crossovers, while configurable stop loss and take profit suggestions are provided based on recent ATR readings. The indicator performs best in trending forex pairs and major indices where momentum persists for multiple bars; range-bound or choppy conditions can produce more false signals despite filtering. Risk management is built into the suggested rules: position sizing tied to percentage risk per trade, ATR-based stops, and optional time-based exits. Expected performance characteristics include moderate win rate with favorable risk-reward when filters are used, trade frequency averaging 2-8 signals per instrument per week, and average trade duration of several hours to a few days. Installation and tuning on MT4 are straightforward and documented by Andri Maulana, but traders should validate settings on a demo account across major pairs and timeframes. Overall, Quant Trend Sniper offers practical signal clarity for systematic traders and discretionary users who require quantifiable entry rules without complex dashboards.