Learn how Xen AI validates cTrader requirements against generated code, helping traders identify missing features, logic issues, and implementation gaps before testing.
See how Xen AI created an Institutional Activity Detector for cTrader from a simple prompt, combining volume, spread, and range expansion into a probability-based activity score.
Watch Xen AI build a Smart Money Trap Detector for cTrader from a simple prompt, detecting failed breakouts, liquidity grabs, bull traps, and bear traps.
Watch Xen AI build a cTrader Trend Exhaustion Detector from a simple prompt, combining momentum decay, ATR compression, and volume divergence into a custom indicator designed to identify weakening trends and potential market reversals.
In this tutorial, we show how Xen AI can help create a Smart Money Structure indicator for cTrader by analysing an image of an existing indicator design.
Claim free Xen AI credits to build cTrader indicators, create automated cBots, convert TradingView and MetaTrader tools, fix code, and accelerate trading system development.
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.