I Built a Custom FTMO Challenge Analyzer in StrategyQuant X Using Claude Code

What if you could estimate the probability of passing an FTMO Challenge before risking a single dollar?

In this video, I show how I used Claude Code and VIBE coding to build a completely custom results plugin inside StrategyQuant X. The plugin analyzes both individual strategies and entire portfolios, calculates challenge pass probabilities, evaluates risk limits, and even runs Monte Carlo simulations to estimate realistic outcomes.

You’ll see the complete workflow—from creating the implementation plan, validating the statistical approach with AI agents, generating the code automatically, and integrating the plugin directly into StrategyQuant X.

We also explore portfolio analysis, challenge pass rates, daily loss limits, Monte Carlo simulations, expected challenge duration, and how AI can dramatically accelerate the creation of custom trading tools. You can download the plugin in our CodeBase.

If you’re interested in prop firm Trading, StrategyQuant X, Claude Code, AI-assisted development, or building your own trading analytics, this video will give you a practical step-by-step example.

Watch the full video on YouTube to see the entire process in action.