Building practical trading tools with software and AI

The next generation

From a trading idea to working cTrader code

ClickAlgo Xen is an AI-powered coding agent created specifically for trading-software development. A trader can describe an indicator, cBot, dashboard, panel, plugin or strategy utility in ordinary language, then use a guided workflow to generate and refine the project.

Unlike a general chatbot, Xen focuses on practical development tasks. It can create a new project, work with existing source code, help repair compilation errors, add alerts or risk-management logic and convert scripts from MT4, MT5 or Pine Script into cTrader-compatible projects.

Xen works iteratively: generate a focused first version, compile and test it in cTrader, return with results or errors, then improve the tool in controlled steps. Its full-source approach keeps the current file as the single source of truth instead of relying on disconnected snippets.

• Build indicators and cBots
• Create panels and dashboards
• Fix compilation errors
• Convert existing strategies
• Add alerts and risk controls
• Refine code after testing

Why it matters

Specialist AI, grounded in the cTrader workflow

Trading code has platform-specific rules. Even experienced programmers can lose time to outdated API examples, subtle lifecycle behaviour and compilation issues. Xen is designed around cTrader Algo conventions and practical code patterns rather than generic software examples.

Structured task selection clarifies the user's intent before generation begins. This helps the assistant ask for the right inputs and produce output focused on the requested indicator, cBot or conversion task. Users can also choose between supported AI models according to speed, reasoning depth and cost.

The current product is focused on cTrader. ClickAlgo states that its AI development platform is intended to expand to other ecosystems, including NinjaTrader and TradingView, as the platform evolves.

Xen remains a development assistant—not a source of investment advice or guaranteed trading results. Every generated strategy should be reviewed, compiled, backtested and tested in a demo environment before live use.