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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.

Do Not Submit a Complete Trading System Specification

Xen is designed to build trading systems incrementally. Do not paste the complete specification for a large commercial cBot into a single prompt.

Instead, divide the project into small, focused development steps. For example:

  • Create the cBot framework and parameters.
  • Implement the entry rules.
  • Add the exit rules.
  • Add risk management.
  • Add trade management.
  • Add filters and advanced features.

After each step, build the cBot in cTrader, backtest the behaviour, and confirm it works as expected before asking Xen to implement the next feature.

This workflow produces more reliable code, makes problems easier to identify, and closely follows the way experienced software developers build complex trading systems.

Build Incrementally

The most reliable way to build a cTrader Algo is one feature at a time.

Rather than submitting a complete specification containing dozens of requirements, begin with a simple working foundation. After Xen generates the code, compile it in cTrader and verify that the behaviour matches your expectations before asking Xen to add the next feature.

For example, you might first build the entry and exit rules, then add risk management, followed by session filters, trailing stops, alerts, or additional confirmations. Building incrementally produces cleaner code, makes problems much easier to identify, and allows Xen to preserve existing behaviour as your project grows.

Even experienced software developers rarely implement a complete trading system from a single written specification. Requirements are continually clarified, trading behaviour is refined during testing, and implementation details often change as development progresses. Xen follows the same development process.

How to Interact with Xen

Describe your requirements using short, focused prompts. A trading robot needs precise instructions because vague or overly broad requests often lead to unreliable results.

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."
  • "Add a trailing stop that activates after 20 pips of profit."

Avoid requests such as:

  • "Build this complete trading system."
  • "Implement everything from this specification."
  • "Make it profitable."
  • "Use smart money concepts."
  • "Add full risk management, trailing stops, filters, news handling, alerts, optimisation, and dashboards."

Keeping prompts short and focused allows Xen to generate more reliable code and makes future enhancements much easier.

How Xen Builds Trading Robots

Xen will usually start with a baseline robot that compiles and follows a clear execution lifecycle. It adds parameters for important settings while keeping trading logic separated from order execution wherever practical.

The result is returned as a complete, compile-ready source file. After each implementation, build the cBot in cTrader and verify that the trading behaviour matches your intended strategy. A successful compilation only confirms the code is syntactically correct. It does not confirm that the trading logic performs as expected.

Once you have verified the behaviour through backtesting or manual testing, return to Xen and continue adding the next feature.

Common Mistakes to Avoid

Most problems occur because users attempt to build an entire trading system in a single request instead of developing it incrementally.

Avoid these common mistakes:

  • submitting very large specifications in one prompt
  • requesting too many features in the initial build
  • not defining entry and exit rules clearly
  • skipping compilation and backtesting between changes
  • mixing indicator display logic with trade execution
  • changing code manually without telling Xen
  • continuing to add features before verifying the previous feature works correctly

Building a stable baseline first and then extending it gradually produces far better results than attempting to generate a complete commercial trading system in one conversation.

After the first working version is created, build the cBot, backtest it, and confirm that entries, exits, position sizing, and risk management behave exactly as expected. Test each new feature before adding another.

Once the baseline is stable, continue improving the project with small, focused requests such as adding session filters, trailing stops, additional confirmations, alerts, or trade management features.