crucible-nano

Evaluates realism constraints for XAUUSD strategies in NautilusTrader, including latency, slippage, spreads, drawdown, and generates pass/fail reports.

186|54|Updated Aug 12, 2025
One-click install
npx skills add https://github.com/francomascareloai/EA_SCALPER_XAUUSD --skill crucible-nano
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: crucible-nano
Source: https://github.com/francomascareloai/EA_SCALPER_XAUUSD/tree/main/.factory/skills/crucible
Command: npx skills add https://github.com/francomascareloai/EA_SCALPER_XAUUSD --skill crucible-nano

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a compact framework to validate backtest realism for XAUUSD strategies within NautilusTrader, helping traders ensure backtests are credible before live deployment.

Core Features & Use Cases

  • Backtest realism guardrails: evaluate latency, slippage, spreads, and drawdown to meet prop-firm standards.
  • XAUUSD focused analysis: validate strategy performance under realistic market conditions.
  • Use Case: QA backtests for a XAUUSD mean-reversion strategy to ensure pass criteria before live deployment.

Quick Start

Command example: 'Run the realism gate suite for the attached XAUUSD backtest and generate a pass/fail report.'

Frequently Asked Questions about crucible-nano

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I validate XAUUSD backtest realism in NautilusTrader?

Validating XAUUSD backtest realism in NautilusTrader involves applying guardrails to latency, slippage, spreads, and Monte Carlo drawdown to generate pass/fail compliance reports.

What backtest realism gates are needed for prop-firm compliance?

Prop-firm compliance requires realism gates evaluating latency, slippage, spreads, and Monte Carlo drawdown across multiple sessions to ensure credible, auditable backtesting results.

How do I configure NautilusTrader settings for realistic XAUUSD backtesting?

Configuring NautilusTrader for realistic XAUUSD backtesting requires explicit guardrails and minimum trade counts to enforce realistic market conditions and auditable performance results.

How does Monte Carlo drawdown analysis work for XAUUSD strategies?

Monte Carlo drawdown analysis evaluates strategy robustness by testing XAUUSD performance across multiple simulated sessions, helping meet prop-firm standards before live deployment.

What are the minimum trade counts required for a credible XAUUSD backtest?

Credible XAUUSD backtests require minimum trade counts enforced by realism guardrails, ensuring performance metrics are statistically significant and pass prop-firm quality assurance standards.

Does NautilusTrader support automatic slippage and spread evaluation for XAUUSD?

NautilusTrader supports XAUUSD slippage and spread evaluation through configurable realism gates that assess these constraints across multiple sessions to deliver auditable results.