Логотип продукта "Keltner & Parabolic SAR Grid (Made with AlgoBuilderX)"
Keltner & Parabolic SAR Grid (Made with AlgoBuilderX)
0.0
03/09/2025
196
Desktop, Mobile, Web
Загруженное изображение продукта "Keltner & Parabolic SAR Grid (Made with AlgoBuilderX)"Загруженное изображение продукта "Keltner & Parabolic SAR Grid (Made with AlgoBuilderX)"Загруженное изображение продукта "Keltner & Parabolic SAR Grid (Made with AlgoBuilderX)"

// 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, which has a filter for deciding which market session to trade in (London-New York-Sydney) uses Keltner Channels and Parabolic Sar indicators, uses Grid Strategy as position management.

Buy trigger: when price breaks the bottom of the Keltner Channels and the Parabolic Sar is below the candle.

Sell trigger: when price breaks the top of the Keltner Channels and Parabolic Sars are above the candlestick.


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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