Azimut Gold

Azimut Gold — a neural network advisor for gold (XAUUSD)

Product Description: Azimut Gold is a fully automated MetaTrader 5 robot that trades gold (XAUUSD) with surgical precision. Rather than opening hundreds of trades, the algorithm hits the target precisely, using neural networks to find ideal formations on timeframes from M5 to H1.

Why he makes money:

  • Sniper logic. The robot ignores market noise, selecting only the strongest moves.
  • Neural network scanner. The smart algorithm analyzes trends, volatility, and trading sessions, making decisions based on multiple factors rather than a single indicator.
  • Quantum Trailing. A unique trailing technology: the robot dynamically adjusts the stop-loss, protecting existing profits and allowing the trade to grow.
  • Adaptive risk. The volume of each trade is automatically calculated based on your deposit and current volatility. No dangerous grids or averaging.

How does this work:

  1. Analysis. The scanner searches for entry points 24/7, checking the trade's math (risk/reward).
  2. Entry. If all filters match, the robot opens an order with pre-set Stop Loss and Take Profit.
  3. Trailing. Quantum Trailing maintains the position, capturing maximum movement and protecting the account from sharp reversals.

Technical parameters:

  • Instrument: XAUUSD (Gold)
  • Platform: MetaTrader 5
  • Timeframes: M5–H1
  • Wednesday: VPS (recommended)

For those who value algorithmic discipline, want to automate gold trading, and tightly control risks without spending hours in front of a monitor.

Instructions (3 steps to launch):

  1. Install MetaTrader 5 and open the XAUUSD chart.
  2. Launch Azimut Gold and apply the ready-made preset (set file).
  3. Enable Algo Trading and run the robot on the VPS.

Important: Gold is a high-risk asset. Before trading on a live account, a 99.9% backtest and a demo account (2-4 weeks) are required. Results depend on your broker's spread and slippage—use ECN accounts.

Control: Monitor the robot's real statistics through public monitoring in MQL5.


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