How to write a cTrader Trading robot using ChatGPT 

ChatGPT makes it simpler than ever to create, refine, and optimize custom trading robots (cBots) in cTrader. By providing clear instructions, you can quickly generate the C# code needed for automated trading strategies—whether you want to implement risk management rules, technical indicator logic, or any other trading algorithm. Follow these steps to build and deploy your cBot. 

1. Define Your Trading Objectives 

Before you start coding, outline the exact tasks and rules your trading robot should perform. These might include: 

  • Strategy Logic: Determine when to open or close positions based on indicators, price levels, or patterns. 
  • Time-Based Filters: Restrict trading to certain sessions or pause trading after a certain number of trades. 

Clarity on these objectives will help ChatGPT generate more accurate and relevant code. 

2. Ask ChatGPT to Generate the Code 

Once your goal and parameters are clear, ask ChatGPT to generate the C# code for your strategy. For example, you could request: “Can you create a cTrader bot where a 50-period moving average crosses above a 200-period moving average to trigger a buy order, and the reverse for a sell order?”  

ChatGPT will respond with a draft code template that you can copy directly into cTrader’s Algo section.  

3. Test and Refine the Code in cTrader 

  1. Open cTrader and go to the Algo section. 
  1. Create a new cBot, paste the generated code, and build it. 
  1. Add the cBot to your chart via the bot icon in the top menu. 
  1. Use Backtesting with historical data to verify that the cBot behaves according to your rules. 

If you encounter errors or notice any unexpected trading activity, gather those details and provide them to ChatGPT. You can refine your prompt, ask questions, or request troubleshooting help. ChatGPT will then provide revised code or suggestions to fix the issues. 

4. Deploy and Monitor the cBot 

After refining and testing your cBot: 

  1. Demo Deployment: Run it on a demo account to observe real-time performance without risking capital. 
  1. Performance Check: Monitor trades, ensuring position sizes and logic align with your objectives. 
  1. Live Trading: Once fully confident, move the robot to a live account, supervising it closely to confirm it operates as intended. 

Regular monitoring helps you spot potential issues or new optimization opportunities. Keep a record of trading performance to track your strategy’s progress over time. 

Course 5: AI Trading cTrader: What are cTrader’s inbuilt AI capabilities? 
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3 Min.

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Course 5: AI Trading cTrader: How to write a cTrader Trading robot using ChatGPT 
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7 Min.

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Course 5: AI Trading cTrader: How to write a risk management robot using ChatGPT (cTrader) 
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6 Min.

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