quant-2-0-risk-management

Name: quant-2-0-risk-management
Availability: InStock
Author: Sihu

Compute volatility-based stop losses and position sizing for trading strategies.

Updated Aug 23, 2026

Search Tags:#strategy #risk-management #volatility #backtest #atr

Ready to run

npx skills add https://github.com/sihu-dev/forge-labs --skill quant-2-0-risk-management

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: quant-2-0-risk-management
Source: https://github.com/sihu-dev/forge-labs/tree/main/apps/hephaitos/.claude/skills/quant-2-0-risk-management
Command: npx skills add https://github.com/sihu-dev/forge-labs --skill quant-2-0-risk-management

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides volatility-based risk management for trading strategies, enabling dynamic stop losses, take profits, and position sizing aligned with user risk profiles.

Core Features & Use Cases

Volatility-Based Stop Loss: ATR-derived stop loss scaling by risk profile.
Dynamic Take Profit: Auto-adjusted targets based on risk tolerance.
Use Case: Build risk-aware strategies that adapt to market volatility.

Quick Start

Use risk-profiler APIs to fetch volatility and compute dynamic risk for a given symbol and user profile.

Frequently Asked Questions about quant-2-0-risk-management

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

FAQPage Schema

How do I calculate dynamic stop losses based on volatility for trading strategies?▼

Dynamic stop losses use ATR (Average True Range) volatility metrics to scale stop levels by risk profile. This Skill computes volatility-based stops that adjust automatically as market conditions change, enabling stops tighter in low-volatility periods and wider during high-volatility swings.

Can I use volatility metrics to size positions and manage risk in crypto and traditional asset strategies?▼

Yes. This Skill calculates position sizing and risk parameters from volatility data across both crypto and traditional assets. It applies user risk profiles to derive compliant position sizes aligned with your volatility environment and risk tolerance.

What's the best way to backtest trading strategies with volatility-adjusted risk management?▼

Backtest by feeding historical volatility data and risk profiles into the Skill's risk parameter calculation engine. It validates your strategy against volatility conditions and compliance checks, producing stop-loss and take-profit levels that reflect realistic market behavior during backtests.

How do I set dynamic take-profit targets that adapt to market volatility?▼

Dynamic take profits auto-adjust based on volatility and your risk tolerance level. The Skill scales take-profit distance proportionally to ATR-derived volatility, so targets widen in volatile markets and tighten when volatility drops, keeping risk-reward ratios consistent.

Do I need to configure risk profiles before using volatility-based position sizing?▼

Yes. Risk profiles define your risk tolerance and compliance constraints. The Skill uses these profiles alongside volatility retrieval to compute appropriate position sizes and governance checks, ensuring your positions stay within configured risk limits and regulatory requirements.