Cyber Trace: MT5 Expert Advisor for data-driven automated trading with proven results

This 2026 review provides a practical performance analysis of Cyber Trace by examining verified live results and backtests to identify strengths and limitations. Cyber Trace is distinct from typical grid robots because it applies dynamic polynomial regression to detect the market center of gravity and triggers adaptive trade sequences only when price shows a statistically significant deviation from projected trajectories. The Regress Intelligence Engine evaluates cycles across two time horizons so entries and sequence lengths are informed by both short and medium-term context. Tatiana Savkevych designed the system with configurable risk and position sizing to suit different account sizes and broker conditions. In testing, Cyber Trace performed consistently in trending and range-with-breakout regimes while avoiding frequent averaging during low-volatility chop. Risk controls include capped sequence exposure, configurable equity percent sizing and automated pause criteria after consecutive adverse sequences. Expected results are modest-to-solid monthly gains with occasional drawdowns tied to extreme market gaps and low-liquidity events. Traders should expect lower trade frequency than scalpers but improved trade quality compared to unmanaged grid implementations. Overall, Cyber Trace offers a mathematically rigorous alternative for traders who prefer model-driven entries and structured risk rules rather than heuristic averaging techniques.