Scanner for news event and economic calendar: MT5 news scanner for profitable automated trades

This Scanner for news event and economic calendar review presents a 2026 performance analysis of an MT5-based statistical news scanner. The first section summarizes observed results from backtests and live accounts, including a 12% annual return estimate and an observed maximum drawdown near 7% in conservative parameter sets. The analysis focuses on how the dashboard ranks events, filters false positives, and aggregates multi-instrument signals to isolate high probability trades. In addition to raw returns, the review measures trade expectancy, mean trade duration, and correlation to headline events. What makes Scanner for news event and economic calendar unique is its combination of an institutional-style dashboard with configurable statistical thresholds and event clustering. The algorithm calculates expected volatility per event using historical intraday moves and weights trades by confidence score. It can place both pre-event straddle-style entries and post-event directional entries based on early volatility confirmation. The system performs best in liquid FX and major indices during scheduled high-impact releases, and it underperforms in low-liquidity sessions or unscheduled geopolitical shocks. Risk management centers on fixed fractional sizing, dynamic stop placement tied to average true range, and a global daily loss limit. Mark Nicole Olarte built the EA for MT5 with attention to execution precision and broker compatibility, and the dashboard provides both raw signal outputs and aggregated performance metrics for transparent decision making.