„Engulfing Strategy with Fixed Risk (Made with AlgoBuilderX)“-Logo
Engulfing Strategy with Fixed Risk (Made with AlgoBuilderX)
In „Engulfing Strategy with Fixed Risk (Made with AlgoBuilderX)“ hochgeladenes Bild
In „Engulfing Strategy with Fixed Risk (Made with AlgoBuilderX)“ hochgeladenes Bild
In „Engulfing Strategy with Fixed Risk (Made with AlgoBuilderX)“ hochgeladenes Bild
In „Engulfing Strategy with Fixed Risk (Made with AlgoBuilderX)“ hochgeladenes Bild
In „Engulfing Strategy with Fixed Risk (Made with AlgoBuilderX)“ hochgeladenes Bild
31.88K
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// 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 is very simple but powerful. It takes advantage of the candle pattern block in AlgoBuilderX to automatically detect the Engulfing pattern. When a bullish Engulfing occurs a long position is opened. When a Bearish Engulfing occurs a short position is opened.

The strategy uses a fixed take profit and stoploss.

NEW CANDLE PATTERN BLOCK! Automatically identify preset patterns or create your own custom pattern!

 

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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