SavdogarAI

SavdogarAI

SavdogarAI is a fully automated trading expert for MetaTrader 5, specifically engineered for high-volatility environments (primarily the Gold/XAUUSD market). The system is based on a mathematically grounded model that follows short-term trends using adaptive risk levels.

Why this solution deserves investor attention:

• Multi-factor Entry Filtration: The system does not attempt to "guess" reversals. A position is opened only when three indicators are synchronized: the direction of the main trend (MA), the strength of the current momentum (RSI), and price action confirmation. This filters out a significant portion of market "noise."

• Adaptive Risk Management via ATR: Stop Loss and Take Profit parameters are dynamic. The robot utilizes the Average True Range (ATR) to calculate exit distances. This means that during periods of low volatility, stops tighten, while during high volatility, they expand to prevent premature closing due to market fluctuations.

• Two-Level Profit Protection: In addition to a classic trailing stop in points, SavdogarAI features Equity Trailing. The algorithm records peak profit in the account currency ($) and maintains a virtual trailing threshold. If the market reverses sharply, the system closes the trade upon reaching a specified drawdown from the peak, securing earned funds.

• Execution Transparency: The Expert Advisor’s logic excludes dangerous methods such as unrestricted Martingale. Every trade is assigned a unique Magic Number, and the built-in dashboard allows for real-time monitoring of spreads and system status.

Technical Specifications:

Summary:

SavdogarAI is a rigorous technical tool designed for those who value systematic trading. The robot handles the discipline of strategy execution, minimizing the negative impact of the human factor.

Important Notice: Past performance and backtesting results are not a guarantee of future profits. All investments in trading algorithms involve the risk of capital loss. Preliminary testing in the broker's trading environment is highly recommended.