BotCTS5.O

Muhammad Firlanna

Division Manager bei East java
Indonesien
Branz Alien MT4
Branz Alien MT4 represents the culmination of expertise in automated trading systems developed since 2015. With over a decade of experience in coding and financial market analysis, this Expert Advisor is built upon a foundation of stability and strictly compliant programming standards.

Professional Background
Decade of Experience: Developed by a seasoned programmer with a track record in MQL4 automation dating back to 2015.

Licensed Methodology: The trading logic follows professional standards, ensuring that every execution is based on calculated technical parameters.

Market Compliance: The source code is optimized to meet the latest MQL5 Market validation requirements, ensuring compatibility across various brokerage environments.

Strategy Concept
The EA implements a multi-timeframe trend-following strategy. By analyzing price action on the M30 timeframe for direction and utilizing the M15 timeframe for entry precision, the system seeks to capitalize on established market momentum while minimizing false signals.

Core Functionalities
Volatility-Adjusted Averaging: The system employs an adaptive distancing mechanism driven by the Average True Range (ATR). This allows the EA to widen or tighten position spacing based on current market volatility.

Dynamic Profit Protection: Includes a sophisticated Trailing Stop and Lock Profit feature to secure gains as the market moves in favor of the trade.

Volume Normalization: Automatically adjusts lot sizes to comply with broker-specific contract specifications, preventing execution errors.

Safety Protocols: Features integrated spread filters and time-based management to avoid trading during unpredictable market conditions.

User Recommendations
Testing Period: We strongly recommend running the EA on a demo account for at least 4 weeks to understand the logic and risk management.

Account Requirements: Designed for accounts with low spreads and high-quality execution.

Financial Awareness: Users should set risk parameters (Lot size) according to their own risk tolerance.

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