Swing Supply Demand: Automated MT5 Trading with Verified Risk-Adjusted Results

This Swing Supply Demand review in 2025 examines performance and provides a practical analysis of how the indicator behaves on live and demo MT5 accounts. The core distinction of Swing Supply Demand is institutional supply and demand auto-detection combined with ATR sizing and mitigation logic, which together offer a structured way to visualize potential institutional turns without overwhelming the chart. The author, Israr Hussain Shah, leverages familiar MQL5 coding patterns to ensure compatibility with standard MT5 brokers and common account types. The algorithm works by identifying valid pivot points and drawing zones sized by recent Average True Range, then extending those zones forward until price invalidation triggers a conversion into a dashed Break of Structure line. This process preserves historical context while preventing stale zones from cluttering signals. Swing Supply Demand is best suited to trending and range-transition markets where clear institutional levels exist; it performs less predictably during frantic news-driven volatility. Risk management is baked into the design through ATR-based sizing and optional filters for timeframes and symbols. Expected performance characteristics include moderate win rates with risk-adjusted returns and lower frequency of trades compared with scalping EAs. Overall, Swing Supply Demand provides disciplined visual trade cues and systematic zone handling for traders who value clarity and evidence-based entries on MT5.