Confluence Divergence Trader delivers RSI divergence automation for higher-probability MT5 trades

Confluence Divergence Trader review for 2026 examines real and backtested performance with focused analysis on signal quality and risk controls. In our review and analysis we compare live forward results and historical backtests to identify consistent characteristics such as average win rate, maximum drawdown, and trade duration. Confluence Divergence Trader is built around RSI divergence detection combined with a weighted confluence system that only triggers trades when multiple supporting factors align, reducing random entries and improving expectancy. What makes Confluence Divergence Trader unique is its multi-factor confirmation framework: divergence detection is the trigger, then volume context, higher timeframe trend direction, pivot strength, and recent volatility are scored to produce a composite confidence metric. The algorithm uses configurable lookback periods, adaptive stop loss based on recent ATR, and fixed or dynamic position sizing to manage risk. In practice the EA performs best on currency pairs and indices showing frequent corrective moves rather than long, persistent trends. Mr Theera Mekanand has emphasized transparency by publishing parameter sets and sample live results tied to MT5 accounts. Risk management is central to the design. Confluence Divergence Trader limits exposure per trade and implements daily trade caps to avoid overtrading during volatile sessions. Expected performance characteristics from independent samples show win rates in the 60 to 70 percent range on optimized settings, average trade lengths of 8 to 48 hours, and episodic drawdowns that require disciplined sizing. The EA suits traders who value statistical edge and are prepared to monitor parameter drift over different market regimes.