Zone Recovery Hedging (Made with AlgoBuilderX)
"Zone Recovery Hedging (Made with AlgoBuilderX)" 标识
5.0
03/09/2025
311
Desktop, Mobile, Web
Since 06/08/2024
Free installs
25439
"Zone Recovery Hedging (Made with AlgoBuilderX)" 已上传图片"Zone Recovery Hedging (Made with AlgoBuilderX)" 已上传图片"Zone Recovery Hedging (Made with AlgoBuilderX)" 已上传图片"Zone Recovery Hedging (Made with AlgoBuilderX)" 已上传图片

// This cBot was created with AlgoBuilderX
//
// AlgoBuilderX is a powerful tool for creating automated trading strategies on the cTrader platform.
// With an intuitive drag-and-drop interface, you can easily build and customize your own trading
// algorithms without any coding knowledge. Whether you're a beginner or an experienced trader,
// AlgoBuilderX offers a seamless experience for developing, testing, and deploying your very own cBot
//
// Visit algobuilderx to start building your own cBots today!

 

This cBot is an example, made for demonstration purposes using AlgoBuilderX and works only on demo accounts.

 

Strategy: This strategy opens the first position based on the value of the EMA (default is 48). If the price is higher than the EMA a long position is opened, if it is lower a short position is opened.

It then places a pending order 100 pips away (editable) by multiplying the current lot. Each time the price reaches and activates the pending order, another one is placed again at the same distance, with the lot multiplied, repeating this process for up to 13 positions or until the equity take profit is reached.

(Example of strategy atteched in the gallery)


Create your cBot now in an easy and intuitive way!
Try AlgoBuilderX now, no registration required.

 

You can find the AlgobuilderX project for free in our Discord channel.

You will be able to import it into the AlgoBuilderX workspace, view it, edit it, or export it.

 

Important Note:
This cBot is a demonstration example created with AlgoBuilderX and is not optimized for live use. It is designed to illustrate the functionality of AlgoBuilderX and serve as a starting point for creating custom strategies. It is recommended that you carefully test and optimize any strategy before implementing it on a real trading account.

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