In this tutorial, we show how to build an RSI Mean Reversion cBot for cTrader using Xen AI. The strategy uses the Relative Strength Index to identify potential overbought and oversold market conditions.
With Xen AI, traders and developers can create cTrader dashboards using plain language instructions, then test, refine, and improve the project step by step.
ClickAlgo has released a new cTrader AI Coding Agent plugin for Xen AI, giving traders and developers a faster way to launch Xen directly from the cTrader Desktop platform.
Backtesting a cTrader cBot is only the first step. The real value comes from analysing the results and understanding how the strategy behaves under different conditions.
Learn how to build a custom cTrader indicator using Xen AI. Follow a structured process to create, test, and refine indicators without coding, using clear logic and AI-generated C# code.
Learn how to build a trading bot using Xen AI for cTrader. Step-by-step guide covering strategy logic, backtesting, optimisation, and avoiding no-trade issues.
In trading, profits often take centre stage, but survival is built on effective risk management. Without strong protection, even the best strategy can unravel in a single volatile session.
You can now build automated trading robots using Python instead of only C#. In this guide, we’ll walk you through how to create a Python cBot in cTrader.
Here are the top five AI bots for cTrader coding as of 2026, based on real-world performance, developer adoption, and feature set; each excels in different environments (IDE, browser, chat, etc.).
This tool will help both beginner and experienced coders who build cBots. It speeds up the process, helps troubleshoot issues, and even suggests improvements.