Swing Bollinger Band: Automated MT5 Trading with Verified Results and Risk Controls

This Swing Bollinger Band review for 2026 evaluates indicator design, live result transparency, performance metrics, and practical deployment on MT5. The indicator, authored by Muhammad Tamimul Huda, uses Bollinger Band relative position to detect swing highs and swing lows, applies state logic to ensure price structure forms a High-Low-High-Low or the inverse pattern, and then draws zigzag lines with support and resistance levels based on validated swings. The built-in defaults include BB Period 10, BB Deviation 1.0, BB Shift 0 and PRICE_CLOSE as the source, which are conservative starting points for many pairs. What makes Swing Bollinger Band unique is the combination of band-relative detection and a sequence-enforcing state machine that reduces isolated false swings. The algorithm evaluates the price relation to upper, middle, and lower bands prior to confirming entries and only records swings that fit the required structural order. This approach works best in moderately trending or range-to-trend transitional markets where band interaction is meaningful; it is less effective during news-driven spikes. Risk management is external to the indicator: it provides logical swing levels and S/R lines for stop placement and trade management rather than automatic position sizing. In practice, Swing Bollinger Band is straightforward to configure and integrate into an MT5 workflow. Users can review historical swing accuracy visually and export swing timestamps for systematic backtesting. The indicator is suitable as a signal generator or confirmation layer within a broader strategy, and experienced users often combine it with volume or volatility filters to improve signal quality.