sandbox-pressure-test

Run a 100-trade worst-case sandbox simulation to validate strategy survival, drawdown, and fitness.

4|1|Updated May 15, 2026
One-click install
npx skills add https://github.com/Yasuui/hermes-community-skills --skill sandbox-pressure-test
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sandbox-pressure-test
Source: https://github.com/Yasuui/hermes-community-skills/tree/main/skills/community/sandbox-pressure-test
Command: npx skills add https://github.com/Yasuui/hermes-community-skills --skill sandbox-pressure-test

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps you validate a trading strategy’s robustness by simulating worst-case market conditions at scale before you deploy it live.

Core Features & Use Cases

  • Passing Criteria Evaluation: Confirms performance against explicit thresholds for survival, maximum drawdown, and a fitness score.
  • Worst-Case Scenario Simulation: Runs a 100-trade worst-case simulation using a volatility multiplier, randomized leverage, and enforced stop-loss.
  • Pre-live Risk Management: Produces results you can compare against the stated criteria to decide whether to proceed to production.

Quick Start

Run the sandbox-pressure-test protocol for a 100-trade worst-case simulation using a 2.5x volatility multiplier, random leverage in the 3x–10x range, and a 3% enforced stop-loss to verify the strategy survives under the defined thresholds.

Frequently Asked Questions about sandbox-pressure-test

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

FAQPage Schema
How do I stress-test a trading strategy before go-live?

To stress-test a trading strategy before go-live, run a 100-trade worst-case sandbox simulation applying a 2.5x volatility multiplier, randomized 3x–10x leverage, and a 3% enforced stop-loss to evaluate survival and drawdown.

What is a sandbox pressure test for trading strategies?

A sandbox pressure test for trading strategies is a pre-live risk management protocol that validates robustness by simulating worst-case market conditions to assess strategy survival, maximum drawdown, and overall fitness against defined acceptance thresholds.

How do I validate trading strategy robustness without relying on a claimed edge?

You validate trading strategy robustness by running a worst-case sandbox simulation using randomized entries without the claimed strategy edge, applying forced parameters like 2.5x volatility and 3% stop-loss to measure survival under stress.

What are the passing criteria for a pre-live trading strategy validation?

The passing criteria for pre-live trading strategy validation require comparing simulation results against explicit acceptance thresholds for strategy survival, maximum drawdown limits, and a defined fitness score to decide whether to proceed to production.

Can I use custom leverage and stop-loss parameters for a strategy stress-test?

No, the strategy stress-test requires following the protocol's fixed parameters: a 2.5x volatility multiplier, randomized leverage within the 3x–10x range, a 3% enforced stop-loss, and 2% risk per trade to ensure consistent worst-case evaluation.

When do I need to run a worst-case simulation for my trading workflow?

You need to run a worst-case simulation for your trading workflow during pre-live deployment risk checks, ensuring the strategy survives randomized entries and high volatility before committing real capital to production environments.