MQL5 Algo Trading
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The article explores the implementation of a refined risk manager class for MetaTrader 5, focusing on adaptive position sizing and profit-target features. It details enhancements to a risk management system, allowing smoother adjustments in position sizes when loss thresholds are met, and introduces parameters to halt trading upon reaching a set profit targetβ€”a feature beneficial for prop trading. A key innovation is using virtual positions to optimize profit calculations and manage drawdowns. The approach helps developers ensure strategies are robust under varying market conditions, enhancing both risk management and trading efficiency in algorithmic trading systems. Practical applications include improving strategy resilience and optimizing gains.
#MQL5 #MT5 #RiskManagement #TradingEA

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