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    How Xen AI Built an Institutional Activity Detector for cTrader

    Building advanced trading indicators traditionally requires a strong understanding of C# programming and the cTrader API. With Xen AI, traders can describe an idea in plain English and generate working indicators in minutes. In this example, Xen AI was used to create an Institutional Activity Detector for cTrader that estimates the probability of increased institutional participation using tick volume, candle spread, and range expansion analysis.

    The objective was simple. Create an indicator that helps traders identify periods of unusually strong market activity without attempting to predict direction. Instead, the indicator focuses on participation, highlighting situations in which volume, volatility, and price expansion exceed normal market levels.

     

     

    The Original Prompt

    The project began with a brief description of what the indicator should do. Rather than specifying implementation details, the prompt focused on the desired outcome.

    Create a cTrader indicator called Institutional Activity Detector.

    Analyse tick volume, candle spread, and range expansion to estimate institutional participation. Produce a probability score, identify smart money activity zones, detect volume anomalies, and highlight large range events directly on the chart.

    Xen AI interpreted the requirements and generated a complete cTrader indicator, including chart visualisation, configurable parameters, probability scoring, and optional alerts.

     

    How Xen AI Designed the Indicator

    The generated indicator compares current market behaviour against recent averages. Tick volume is measured against normal activity levels, candle spread is used to assess directional participation, and range expansion identifies periods of increased volatility.

    Each component contributes to an Institutional Activity Probability Score, which is displayed as a histogram. The score is normalised between 0 and 100, making it easy to compare different market conditions across symbols and timeframes.

    When activity exceeds a user-defined threshold, Xen AI automatically highlights smart money activity zones and marks significant events directly on the chart.

     

    Key Features Generated by Xen AI

    • Institutional Activity Probability Score.
    • Tick volume anomaly detection.
    • Candle spread analysis.
    • Range expansion monitoring.
    • Smart money activity zones.
    • Configurable sensitivity controls.
    • Optional activity alerts.
    • Support for all cTrader symbols and timeframes.

     

    Why Build Indicators with Xen AI?

    Most traders have ideas for indicators but lack the time or programming knowledge required to implement them. Xen AI bridges that gap by converting trading concepts into working cTrader code.

    Instead of spending hours researching APIs and manually writing code, traders can focus on describing the behaviour they want. Xen AI handles the technical implementation and provides a foundation that can be refined, extended, and customised as the project develops.

    This workflow makes it possible to test indicator concepts quickly, experiment with new ideas, and build tools that would otherwise require professional software development resources.

     

    Download the Indicator

    If you would like to try the Institutional Activity Detector, you can download it free from ClickAlgo.

    Download the Free Indicator

     

    Build Your Own Trading Tools

    This project demonstrates how quickly Xen AI can transform a trading concept into a working cTrader indicator. Whether you want to create indicators, cBots, dashboards, plugins, scanners, or trading panels, Xen AI can help accelerate the development process.

    Start Building with Xen AI