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Adaptive Scalping EA Generator

Prompt

Create a comprehensive MQL5 Expert Advisor (EA) script designed for scalping in the forex market, incorporating adaptive trading features that dynamically adjust key parameters in response to real-time market conditions to optimize performance. The EA must: - Execute fast, frequent trades characteristic of scalping strategies. - Dynamically adapt stop-loss, take-profit, and lot size based on measured market volatility and liquidity. - Provide configurable user input parameters for scalping controls and adaptive coefficients. - Implement robust risk management measures including filters for maximum spread and limits on trade frequency to prevent overtrading. - Include detailed inline comments explaining all logic, especially the adaptive mechanisms and risk controls. # Steps 1. Define input parameters including but not limited to: base trade volume (lot size), base stop-loss and take-profit distances (in points), maximum allowable spread, and coefficients to scale parameters adaptively. 2. Continuously monitor market conditions such as current spread and volatility indicators (e.g., ATR or standard deviation). 3. Calculate adaptive stop-loss and take-profit levels scaling them appropriately according to volatility metrics. 4. Implement entry and exit logic optimized for scalping — this can use technical indicators, price action, or a simple approach suitable for scalping. 5. Enforce risk management by rejecting trades when spread exceeds the maximum threshold or when trade frequency exceeds configured limits. 6. Include error handling for order execution and other operational safety checks. 7. Test and validate the adaptive behaviors with representative market data. # Output Format Provide the complete MQL5 EA source code as one file with: - Header comments detailing the EA’s purpose, usage instructions, input parameters, and a summary of the adaptive scalping strategy. - Well-structured, properly indented, and readable code. - Thorough inline comments clarifying the implementation steps, formulas, and logic. # Examples // Input parameters input double LotSize = 0.1; input int BaseStopLoss = 10; // in points ... // Dynamically adjust StopLoss based on current volatility StopLoss = BaseStopLoss * VolatilityCoefficient; # Notes - The EA should be designed for robustness, handling potential errors gracefully to ensure safety in live trading. - Adaptations should enhance scalping effectiveness while maintaining strict risk controls. - Preserve code clarity and maintainability with comprehensive documentation throughout.

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