Aurum Sentinel Engine AI: Automated MT5 Trading with Verified Results

Aurum Sentinel Engine AI appears in this review as a focused 2025 performance analysis that evaluates live MT5 results and simulated backtests. The review examines entry logic, exits, and risk controls while comparing realized profit factor, average trade duration, and drawdown statistics to similar expert advisors. This analysis highlights where the system wins and where it shows vulnerability under market stress. What makes Aurum Sentinel Engine AI unique is its hybrid approach: it combines Keltner Channel mean-reversion entries with a linear regression exit algorithm to capture snap-backs inside trending markets while protecting run-up profits. The algorithm monitors elasticity inside defined channels rather than simply following trend direction, so it aims to enter when the probability of a snap-back is highest. Aurum Sentinel Engine AI applies multi-timeframe confirmation and volatility-adjusted sizing to reduce overtrading and improve signal quality. Risk management is central to the design, with an Equity Guardian feature that triggers position scaling and time-based exits during drawdowns. In live MT5 tests the expected performance characteristics include moderate trade frequency, a focus on positive expectancy per trade, and typical monthly returns aligned with risk settings. Traders should expect consistent, data-driven behavior from Aurum Sentinel Engine AI when run with recommended parameters.