AI coding agent for cTrader

Build cBots and indicators with ClickAlgo Xen AI

Describe your trading tool in natural language, generate cTrader-compatible C# code and refine it through a guided AI workflow. Xen helps traders move from an idea to a testable prototype without starting from a blank code editor.

Plain languageDescribe the tool you need
cTrader focusedBuilt around cTrader development
IterativeRequest changes and refinements
Code ownershipReview and test generated output

What is Xen?

An AI development workspace created for trading tools

General AI assistants can write code, but they may lack the workflow and platform context needed for a practical trading project. ClickAlgo Xen is designed specifically to help create, understand and improve software for modern trading platforms, with its initial focus on cTrader.

You can explain an indicator, automated strategy or utility in everyday language. Xen translates those instructions into code, helps you work through revisions and can explain how individual parts operate. This makes it useful to experienced developers who want to prototype faster and to traders who are learning how algorithmic systems are structured.

ClickAlgo Xen AI coding workspace for creating cTrader tools

What you can create

From a simple signal to a complete trading workflow

Xen can help structure a wide range of cTrader projects when the requirements are specific, testable and broken into clear steps.

01

Indicators and alerts

Create chart studies, signal logic, multi-timeframe calculations, visual markers and configurable alerts.

02

Automated cBots

Prototype entry, exit, position-sizing and trade-management rules as an automated cTrader strategy.

03

Panels and dashboards

Build interfaces that organise execution controls, account information, risk data and strategy statistics.

04

Risk utilities

Develop position-size calculators, exposure controls and account-protection tools around documented rules.

05

Code debugging

Ask Xen to investigate build errors, explain likely causes and propose focused changes to existing code.

06

Strategy conversion

Use clearly documented logic as a starting point for recreating compatible tools from another platform.

A better AI workflow

Build in small, testable stages

The quality of generated code depends heavily on the quality of the instructions. A disciplined workflow produces clearer output and makes errors easier to identify.

1

Define one objective

Start with the platform, tool type and exact purpose instead of asking for an entire complex system at once.

2

Specify the rules

Provide calculations, inputs, chart behaviour, trade conditions and examples with no important decisions omitted.

3

Generate and compile

Review the code, compile it in the appropriate cTrader environment and report errors precisely.

4

Test and refine

Test each agreed behaviour, request focused changes and repeat until the prototype matches the specification.

Example instruction

Be precise about logic and expected output

A useful prompt describes the indicator or cBot, its parameters, calculation rules, visual output and alert behaviour. Adding acceptance tests gives the AI a clearer target.

Example: “Create a cTrader indicator that marks a bullish signal when a 40-period simple moving average crosses above a 100-period simple moving average. Add configurable pop-up and sound alerts, plot both averages and prevent repeated alerts on the same bar.”

Use AI responsibly

Generated code still needs human review and testing

Xen can accelerate development, but it cannot prove that a strategy is safe, robust or profitable.

Review the logic

Check that the generated implementation matches your written rules. A program can compile successfully while still behaving differently from the intended strategy.

Test before live use

Compile, backtest and forward-test with suitable data. Use a demo environment before considering any deployment involving real funds.

Escalate complex work

Security-sensitive, commercial or highly complex systems may require an experienced developer to review architecture, performance and edge cases.

View the coding service →

Frequently asked questions

Getting started with Xen AI

Do I need to know C# to use Xen?

You can begin by describing a tool in plain language, so advanced coding experience is not required. Basic knowledge of cTrader, trading logic and testing will still help you assess whether the output behaves correctly.

Can Xen modify my existing cBot or indicator?

Yes. You can use existing code as context and request explanations, debugging help or focused improvements. Keep a backup and test every modification independently.

Can Xen guarantee a profitable strategy?

No. Xen assists with software creation and code analysis. It cannot predict future markets or guarantee performance, and generated tools should be researched and tested carefully.

What if my project is too complex for an AI workflow?

Break the system into smaller components or use ClickAlgo's custom cTrader coding service for professional scoping and development.

Start building your cTrader tool with Xen

Describe a focused idea, generate the first version and refine it through a guided AI development workflow.