Dual Balance EA delivers automated MT4 multi-pair trading with verified performance results

This 2026 review presents an independent performance analysis of Dual Balance EA using a combination of live account snapshots and out-of-sample backtests. The review focuses on measurable performance indicators including win rate, average trade duration, return per month, and peak drawdown, and provides a data-driven analysis of how the strategy behaves across different market regimes. Dual Balance EA is evaluated for trade management quality, correlation selections, and consistency of results over rolling six- and twelve-month windows. Dual Balance EA distinguishes itself by synchronizing positions across paired instruments rather than treating each pair in isolation. The underlying algorithm monitors historical relationships between specific pairs, identifies statistically significant deviations, and opens sequences of trades that are managed as a single cycle. Entries can be scaled in controlled increments and exits are handled through configurable take-profit levels, partial closes, and equity-based cycle termination rules. The system is implemented for MT4 and includes presets for spreads, slippage buffers, and maximum concurrent cycles to reduce execution risk. In live conditions the strategy favors stable, liquid markets where inter-pair correlations persist for hours or days; it is not designed to chase extreme intraday volatility or sudden macro shocks. Risk management is systematic: position sizing ties to account equity, loss thresholds stop entire cycles, and trade frequency is moderated to avoid overtrading. Expect moderate monthly return profiles with intermittent drawdown windows, and plan monitoring for news spikes and widening spreads. Muhammad Abdulrahman Omar Naima Allah Al-rais developed the strategy with emphasis on repeatable results and explicit risk controls, and the EA is best used alongside disciplined supervision on MT4.