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Build a cTrader cBot with Xen AI

The Build a Trading Robot workflow helps you create an automated trading strategy in a controlled, step-by-step way. In cTrader, this type of automated strategy is usually built as a cBot.

This workflow is designed to help you define entry rules, exit rules, order handling, position management, and risk controls clearly before adding more advanced features. The priority is correctness and safety, not adding as many features as possible in the first version.

Xen AI – Build Automated Trading Systems

Watch this video to learn how to build an automated trading system using Xen AI for cTrader. The demonstration shows how Xen AI helps define trading rules, apply risk management, and generate clean, compile-ready C# code.

Tip: Set the video quality to HD (1080p) for the best viewing experience.

When to Use This Workflow

Use this workflow when you want to automate a strategy with clear, testable rules. It is best suited for systems where entries, exits, position sizing, and trade limits can be described precisely.

This workflow should not be used for indicators or visual dashboards. If your goal is to display calculations or market information without placing trades, use Build a Technical Indicator or Build a Market Dashboard instead.

What You Should Prepare

Before starting, define the strategy in plain language. Xen needs to understand what the robot is trying to trade, when it should open positions, when it should close them, and how risk should be controlled.

Useful details include:

  • the strategy concept
  • entry rules
  • exit rules
  • stop loss and take profit rules
  • position sizing method
  • maximum open positions
  • optional filters, such as sessions, spread limits, or cooldowns

Start with the minimum rules needed to open and manage one position correctly. Once that baseline works, additional logic can be added safely.

How to Interact with Xen

Describe your rules in testable language. A trading robot needs precise instructions, because vague strategy descriptions often lead to unreliable code.

Good examples:

  • “Enter long when the fast moving average crosses above the slow moving average.”
  • “Exit when the opposite crossover occurs.”
  • “Use a fixed stop loss and take profit.”
  • “Only trade once per bar and limit the robot to one open position.”

Avoid vague requests such as:

  • “Make it profitable.”
  • “Use smart money concepts.”
  • “Add full risk management, trailing, filters, news, and sessions.”

One step at a time produces cleaner, more stable robots.

How Xen Builds Trading Robots

Xen will usually start with a baseline robot that compiles and follows a clear execution lifecycle. It will add parameters for key settings and keep trading rules separated from order execution where possible.

The result is returned as a complete, compile-ready file. After that, you should compile it in cTrader, test the behaviour, and return to Xen with any errors or improvement requests.

Common Mistakes to Avoid

Most problems happen when the first request contains too many features or unclear trading logic. A robot should not be expected to handle entries, exits, trailing stops, session filters, news filters, alerts, and optimisation logic all in one first build.

Avoid these common mistakes:

  • requesting too many features at once
  • not defining entry and exit rules clearly
  • mixing indicator display logic with trade execution
  • testing only in live conditions without basic validation
  • changing code manually without telling Xen

Build the baseline first, test it, then extend it gradually.

After the first working version is created, backtest the robot and confirm that entries, exits, and risk limits match your expectations. Test on historical data before considering any demo or live testing.

Once the baseline is stable, you can add improvements in small steps, such as session filters, trailing logic, additional confirmations, or alerts.