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Learn How to Create Custom Indicators with ChatGPT

Developing custom indicators for cTrader with ChatGPT is a groundbreaking innovation for traders. These tools allow for tailored solutions to meet specific trading needs. However, the generated code often requires adjustments due to compilation errors or incompatibilities. This article explores how to craft effective prompts for functional indicators, handle errors, and highlights the new features launching in December on AlgoBuilderX.


The Challenge of Compilation Errors in cTrader

Many users face errors when loading ChatGPT-generated code into cTrader. Key reasons include:

  • Outdated Documentation: ChatGPT may rely on incomplete or older information about cTrader’s code structure.
  • Insufficient Prompt Details: Vague or incomplete prompts can result in incorrect or suboptimal code.
  • AI Limitations: ChatGPT cannot test its output, so generated solutions may not fully align with platform requirements.

How to Address Compilation Errors

If generated code fails to work in cTrader, follow these steps:

  1. Request Clarifications from ChatGPT
    Copy the error message and use a detailed prompt:“This code produces the following error: [Error]. Please fix it and ensure it adheres to cTrader version 5.0.46 specifications.”
  2. Check Official Documentation
    Verify the code against cTrader’s cAlgo API to confirm the correct use of classes and methods.
  3. Ensure Language Version Compatibility
    Adapt the code to match the C# version supported by cTrader.
  4. Engage with the Community
    Seek help from cTrader forums or GitHub, where developers can provide insights and fixes.

Guide to Crafting Effective Prompts

A well-structured prompt is critical to generating functional code. Here’s how to design one:

  1. Clearly Describe the Indicator
    Explain its purpose and what it should achieve.
  2. Define Input Parameters
    List user-configurable inputs (e.g., periods, colors, thresholds).
  3. Specify Outputs
    Describe how results should appear (e.g., chart lines, signals, data arrays).
  4. State Technical Requirements
    Include platform version, applicable timeframes, or other specifications.
  5. Request Comments in the Code
    Ensure the code includes explanatory comments for clarity.

Examples of Detailed Prompts

Below are two examples of prompts optimized to create custom indicators for cTrader. These examples have not been tested, but have been structured to provide clear and detailed instructions.

Prompt 1: Fibonacci Retracement Indicator

“Create an indicator to calculate Fibonacci Retracement levels for cTrader 5.0.46 in C#. The indicator should:

  • Inputs:
    • Maximum and minimum prices for the selected period.
    • Configurable colors for levels (23.6%, 38.2%, 50%, 61.8%, 100%).
    • Selectable timeframe.
  • Outputs:
    • Horizontal lines at calculated levels, labeled with corresponding prices.
    • A function returning an array of calculated levels with timestamps.
    • Buy/Sell signals when price crosses a Fibonacci level.
  • Technical Requirements:
    • Compatible with M1, H1, D1 timeframes.
    • Fully commented and optimized for automated strategies.”*

Prompt 2: Bollinger Bands with RSI Indicator

“Create an indicator combining Bollinger Bands and RSI for cTrader 5.0.46 in C#. The indicator should:

  • Inputs:
    • Period for Bollinger Bands.
    • Standard deviation for Bollinger Bands (default: 2.0).
    • RSI period.
    • Overbought/oversold thresholds (default: 70/30).
  • Outputs:
    • Three Bollinger Band lines (upper, median, lower) on the chart.
    • RSI overlay to identify entry/exit points.
    • Buy/Sell signals when price breaks bands and RSI confirms overbought/oversold.
  • Technical Requirements:
    • Compatible with H4 and higher timeframes.
    • Fully commented and easy to read.”*

AlgoBuilderX: Custom Indicator

In December, AlgoBuilderX will introduce a revolutionary update, enabling seamless integration of custom indicators. Key features include:

  • Enhanced Personalization: Combine standard and custom indicators to create unique, optimized strategies.
  • User-Friendly Interface: Simplifies the process of developing and deploying custom indicators.

This update represents a significant step toward making personalized trading more accessible and powerful.


Using ChatGPT to create custom indicators for cTrader offers traders unparalleled opportunities to enhance their strategies. With well-defined prompts and the upcoming features of AlgoBuilderX, customization has never been easier. Additionally, traders can download Custom Indicators from the cTrader platform to expand their toolkit.


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