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AutoGuard SR Trailing
cBot
2 购买
版本 1.0, Dec 2025
Windows 版、Mac 版, Mobile, Web
"AutoGuard SR Trailing" 已上传图片"AutoGuard SR Trailing" 已上传图片
关于试用版本
7 days trial


AutoGuard SR Trailing

AutoGuard SR Trailing is a professional risk-management cBot for cTrader that automatically places Stop Loss and Take Profit levels based on real market structure using Support and Resistance, and then protects profits with an intelligent trailing stop.


The cBot applies Support/Resistance logic only once at trade entry, ensuring stable and predictable behavior, while the trailing stop dynamically manages risk as price moves in your favor.


Visual Support and Resistance lines are drawn directly on the chart, allowing traders to clearly see how risk and reward levels are determined.


🔹 Key Features

  • 📉 Automatic Stop Loss at Support / Resistance
  • 📈 Automatic Take Profit at Resistance / Support
  • 🔁 Trailing Stop with configurable trigger and distance
  • 🧠 SR logic applied only on new trades
  • 🎨 Customizable visual SR lines (color, thickness, style)
  • ⚙️ Enable / Disable SR and Trailing logic independently
  • 🔄 Compatible with older and newer cTrader versions

🔹 How It Works

  • For Buy trades:
    • Stop Loss → nearest Support
    • Take Profit → nearest Resistance
  • For Sell trades:
    • Stop Loss → nearest Resistance
    • Take Profit → nearest Support


Support and Resistance levels are calculated from recent price structure using a configurable lookback period.


Once the trade is open, AutoGuard SR Trailing switches to trailing stop management, ensuring profits are locked in without constantly recalculating SL/TP levels.

🔹 Best Use Cases

  • Works with manual trading
  • Works with signal cBots
  • Suitable for scalping, intraday, and swing trading
  • Ideal for traders who want structure-based risk management


⚠️ Disclaimer

This cBot does not open trades by itself.

It is designed to manage existing positions only.

Always test on a demo account before using on a live account.

Trading involves risk. Past performance does not guarantee future results.

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