Multi-year backtesting shows that FXConstant EA generates net profit consistently during periods where its pattern formations appear with regularity. Product gain metrics vary by timeframe and market phase; trending conditions that produce clean pattern setups yield the strongest results. During extended consolidation phases with few qualifying patterns, the robot may remain idle for weeks. This selective behavior is by design and reflects the system's emphasis on quality over quantity. Statistics order data from backtests confirms that winning trades tend to cluster around specific market conditions rather than distributing evenly across all months.

Trade management within FXConstant is handled on a per-position basis. Each trade carries its own defined risk parameters, and the system does not use grid recovery, martingale, or any form of lot escalation. The drawdown level is controlled through configurable settings that allow traders to set maximum acceptable loss thresholds. If the account reaches the defined limit, the system pauses new entries. This approach keeps exposure predictable, which is especially important for an automated system that may hold positions across varying market conditions in both USD and EUR pairs.

The win-to-loss distribution in FXConstant EA tends to favor fewer but higher-quality winning trades over a large volume of small gains. Because the pattern recognition logic is highly selective, trade frequency is low, but the accuracy on entries that do trigger is typically above average. Losing trades are contained through defined risk parameters on each position. The gain per winning trade generally exceeds the loss on losing ones, which gives the system a favorable risk-reward profile over time. This pattern is consistent across both EURUSD and AUDUSD in historical data.

Multi-year backtesting shows that FXConstant EA generates net profit consistently during periods where its pattern formations appear with regularity. Product gain metrics vary by timeframe and market phase; trending conditions that produce clean pattern setups yield the strongest results. During extended consolidation phases with few qualifying patterns, the robot may remain idle for weeks. This selective behavior is by design and reflects the system's emphasis on quality over quantity. Statistics order data from backtests confirms that winning trades tend to cluster around specific market conditions rather than distributing evenly across all months.

Trade management within FXConstant is handled on a per-position basis. Each trade carries its own defined risk parameters, and the system does not use grid recovery, martingale, or any form of lot escalation. The drawdown level is controlled through configurable settings that allow traders to set maximum acceptable loss thresholds. If the account reaches the defined limit, the system pauses new entries. This approach keeps exposure predictable, which is especially important for an automated system that may hold positions across varying market conditions in both USD and EUR pairs.

The win-to-loss distribution in FXConstant EA tends to favor fewer but higher-quality winning trades over a large volume of small gains. Because the pattern recognition logic is highly selective, trade frequency is low, but the accuracy on entries that do trigger is typically above average. Losing trades are contained through defined risk parameters on each position. The gain per winning trade generally exceeds the loss on losing ones, which gives the system a favorable risk-reward profile over time. This pattern is consistent across both EURUSD and AUDUSD in historical data.