cBot
Grid
XAUUSD
ATR
Grid Trader Pro
„Grid Trader Pro“-Logo
20/11/2025
Desktop, Mobile, Web
In „Grid Trader Pro“ hochgeladenes BildIn „Grid Trader Pro“ hochgeladenes Bild

Grid Trader Pro — Adaptive Grid Trading Automation

Grid Trader Pro is a next-generation cTrader cBot engineered for traders who demand precision, adaptability, and robust risk control. Built around an ATR-driven grid engine, it dynamically adjusts to market volatility, manages risk intelligently, and automates the entire grid-building process with institutional-grade logic.

Designed for both beginners and professionals, Grid Trader Pro delivers consistent, rule-based execution while giving you full control over grid behavior, sizing methods, exposure, and safety mechanisms.


🔥 Key Features

✔ ATR-Adaptive Grid Engine

The bot automatically calculates grid spacing (Δ) from ATR, ensuring the grid naturally expands or contracts based on market volatility. Volatile markets = wider grid. Calm markets = tighter grid.

✔ Buy & Sell Grid Levels with Smart TP

Positions are opened using limit orders above/below the center price (P0), each with a mathematically set take-profit based on your multiplier.

✔ Dynamic Grid Recentering

When price trends heavily in one direction, the bot automatically rebuilds the grid around the new price—keeping the system aligned and reducing runaway exposure.

✔ Break-Even Automation

Positions automatically move their stop-loss to break-even once they reach a user-defined profit distance.

✔ Three Position Sizing Modes

  1. Standard Lots Mode
  2. Fixed Units Mode
  3. % Risk-Based Sizing using pip-value and SL distance
    Perfect for traders who want hard risk caps without manual calculations.

✔ Full Exposure & Safety Management

  • Max Open Positions
  • Max Exposure (% of equity)
  • Upper & Lower Grid Boundaries
  • Auto-close behavior when price exits safe zones
  • Optional position wipes during grid rebuilds

✔ Dry Run Mode

Simulates the entire system without placing live trades—essential for forward testing and optimization.

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